Palantir Stack — Independent Replication Plan & Cost Analysis

Section 01

What Palantir Actually Uses

Palantir does not own any satellites. Their model is a software aggregation layer — they license data feeds from commercial satellite operators, fuse them through their AI platform (AIP / MetaConstellation), and sell the output to governments and defence agencies as a managed service. Their advantage is entirely in the software and AI layer, not the space hardware.

┌──────────────────────────────────────────────────────────────┐ │ PALANTIR STACK — AS BUILT │ ├───────────────────────┬──────────────────────────────────────┤ │ LAYER 1: SATELLITES │ NOT OWNED — licensed from partners │ │ (Space segment) │ Planet Labs · Maxar · BlackSky │ │ │ ICEYE · Satellogic · Voyager │ │ │ Tomorrow.io · World View │ ├───────────────────────┼──────────────────────────────────────┤ │ LAYER 2: DATA INGEST │ MetaConstellation platform │ │ (Orchestration) │ Multi-operator API aggregation │ │ │ Satellite tasking & scheduling │ │ │ Real-time alert routing │ ├───────────────────────┼──────────────────────────────────────┤ │ LAYER 3: AI ENGINE │ AIP (Artificial Intelligence │ │ (Analysis) │ Platform) + Ontology data model │ │ │ Object detection · Change detection │ │ │ Target identification · Kill chain │ │ │ Trajectory prediction · Fusion │ ├───────────────────────┼──────────────────────────────────────┤ │ LAYER 4: DELIVERY │ Maven Smart System (DoD) │ │ (Client interface) │ Foundry (enterprise) │ │ │ Apollo (deployment/CI/CD) │ │ │ ATAK / C2 terminal integration │ └───────────────────────┴──────────────────────────────────────┘

The 8 Satellite Partners Palantir Uses

Planet Labs

Electro-Optical (EO) · 200+ satellites

Palantir: Maven Smart System + MetaConstellation

Daily global revisit. 3m–0.5m resolution. Continuous change detection. Palantir uses Planet for broad-area monitoring and daily update feeds across all theatres.

API access: ~$180K–$2M/yr (enterprise tier)

Maxar Technologies

High-Resolution EO · WorldView constellation

Palantir: Maven Smart System targeting imagery

0.3m GSD — highest commercial resolution. WorldView-3, WorldView Legion. Used for precision targeting imagery and detailed site analysis in Maven. Palantir named as integration partner.

Tasking: $15–$30/km² · Archive: $3–$8/km²

BlackSky

EO Optical · 16 satellites · Rapid revisit

Palantir: MetaConstellation rapid monitoring

Sub-hourly revisit over targets of interest. Real-time alerts on activity changes. NRO contract worth up to $1B over 10 years. Palantir uses BlackSky for time-sensitive site monitoring.

Subscription from ~$85M/5yr (government tier)

ICEYE

SAR Radar · 35+ satellites · All-weather

Palantir: Maven — all-weather military tracking

Penetrates cloud cover and darkness. Detects ships, vehicles, military equipment movement. Explicitly contracted for Maven Smart System along with Planet Labs. Finnish-made SAR constellation.

Per-image: $500–$3,000 · Subscription: custom

Satellogic

EO + Edge AI onboard · 35 satellites

Palantir: Edge AI in space — most advanced integration

Most technically advanced partner. Palantir AI models run onboard Satellogic satellites before downlink. Detections happen in orbit. Only flagged data transmitted. Cuts latency dramatically.

$8/km² standard tasking · API: custom contract

Voyager Technologies

Space Domain Awareness · SIGINT

Palantir: Space object tracking + classification

Signals intelligence from orbit. Tracks and classifies objects in space. Partnership announced 2025 — developing AI system for Space Domain Awareness using Palantir ML engines + Voyager signal processing hardware.

Government programme pricing — not public

Tomorrow.io

Weather satellites · Atmospheric data

Palantir: Operational planning data layer

Real-time weather data fused into Palantir operations platform. Improves targeting, mission planning, and logistics. Atmospheric data affects SAR quality, drone operations, and aircraft routing.

API: $50K–$500K/yr depending on resolution

World View

Stratospheric balloon ISR · Near-space

Palantir: Persistent regional surveillance

Stratospheric balloons at 18–25km altitude. Persistent stare over a region for weeks. Lower cost than satellites for fixed-area coverage. Partnership with Palantir + Ondas for multi-domain ISR platform (2026).

Per-mission: $500K–$3M · Subscription: custom

Palantir's AI Software Stack

Product	Function	What it does in the satellite context
MetaConstellation	Satellite orchestration layer	Tasks multiple satellite operators simultaneously, routes imagery, manages priority queues, delivers real-time alerts
AIP (AI Platform)	Core AI engine	Object detection, change detection, target classification, kill chain automation, natural language query on imagery
Ontology	Data model / knowledge graph	Links objects across sensor feeds — a tank spotted by SAR matched to same tank in EO imagery from 6 hours earlier
Maven Smart System	DoD military interface	Full ISR-to-strike workflow. Ingests satellite + drone + SIGINT. AI generates target packages. Used operationally in Ukraine and Middle East.
Foundry	Enterprise data platform	Data pipeline management, integration, analyst workbench, reporting
Apollo	Deployment / CI/CD	Manages software deployment across classified and unclassified environments, edge devices, and satellite payloads

Palantir Contract Values (Government)

$1.3B

Maven Smart System (DoD) through 2029

$480M

+$795M

Original + expansion (May 2024 → May 2025)

$100M

All-branch military access contract (Sep 2024)

NATO

Maven deal signed April 2025 — value undisclosed

Key insight: Palantir charges governments $480M–$1.3B for a platform built primarily on licensed commercial satellite data + proprietary AI software. They don't own the sensors. The premium is entirely for the AI fusion, workflow automation, and security clearances.

Section 02

Independent Replication Plan

To replicate what Palantir delivers — without depending on Palantir's platform or its pricing — you need to build the same four layers independently: satellite data access, orchestration, AI analytics, and client delivery. You do not need to own satellites to start. The fastest path mirrors Palantir's own model: license the same satellite feeds, build your own AI layer on top.

Build vs License Decision

Layer	Palantir's Approach	Independent Approach	Recommendation
Satellites	License from 8 operators — no ownership	License same operators OR own constellation Phase 2+	License first, own later
Orchestration	MetaConstellation (proprietary)	Build open-architecture tasking platform	Build — 12–18 months
AI Engine	AIP + Ontology (proprietary)	Build on open-source CV + custom fusion engine	Build — core differentiator
Client Interface	Maven / Foundry / Apollo	Build secure web dashboard + API + C2 integration	Build — 6–12 months
Edge AI (satellite)	Satellogic partnership (onboard inference)	Replicate via Satellogic API OR own onboard AI chips	License Satellogic first

The 4 Layers — Independent Build Specification

Layer 1

Satellite Data Access

Palantir uses: Planet + Maxar + BlackSky + ICEYE + Satellogic

License the same five commercial operators directly. No satellite ownership required. You get the same imagery feeds Palantir uses — without paying Palantir's markup.

Annual licensing cost

$15M – $45M/yr

Layer 2

Orchestration Platform

Palantir uses: MetaConstellation

Custom satellite tasking engine — APIs to all operators, priority queue management, real-time alert routing, constellation scheduling optimizer. Build on cloud-native microservices.

Build cost (one-time)

$15M – $30M

Layer 3

AI Analytics Engine

Palantir uses: AIP + Ontology knowledge graph

Object detection (PyTorch / TensorRT), multi-sensor fusion, change detection, trajectory modelling, knowledge graph linking objects across time and sensor types. GPU cluster required.

Build + infrastructure cost

$40M – $90M

Layer 4

Client Delivery System

Palantir uses: Maven Smart System / Foundry

Secure web dashboard, real-time globe interface, C2 terminal integration (ATAK/STANAG), alert APIs, analyst workbench, mobile apps. Deployable classified + unclassified environments.

Build cost (one-time)

$10M – $25M

Satellite Data Licensing — Direct Cost (No Palantir)

By going direct to the satellite operators, you bypass the Palantir markup entirely and get the same underlying data:

Operator	Type	What You Get	Direct Annual Cost	Palantir Equivalent Value
Planet Labs	EO optical	Daily global basemap, archive access, tasking API, PlanetScope + SkySat feeds	$500K–$5M/yr	~$50M of Palantir contract value
Maxar	High-res EO	On-demand tasking at 0.3m GSD, archive library, SecureWatch platform API	$1M–$10M/yr	~$80M of Palantir contract value
BlackSky	Rapid-revisit EO	Sub-hourly revisit tasking, real-time alerts, site monitoring, dynamic collect	$2M–$8M/yr	~$40M of Palantir contract value
ICEYE	SAR radar	All-weather tasking, archive SAR, ship detection, COSMO-SkyMed class resolution	$2M–$8M/yr	~$60M of Palantir contract value
Satellogic	EO + Edge AI	Tasking API, onboard AI inference, multispectral imagery, hyperspectral option	$1M–$5M/yr	~$30M of Palantir contract value
Tomorrow.io	Weather	Real-time atmospheric data, forecasting API, operational weather feeds	$100K–$500K/yr	~$5M of Palantir contract value
Voyager / SIGINT	Space awareness	Space domain awareness data, orbital object tracking (government programme)	TBD — gov't contract	Defence programme value
Total direct licensing			$6.6M–$36.5M/yr	vs $480M+ charged by Palantir

The math: The raw satellite data costs $7M–$37M/yr. Palantir charges governments $480M–$1.3B for the same data + their AI layer on top. Your independent AI layer can be built for $40M–$90M one-time. After Year 2, you have an equivalent capability for ~$40M/yr in running costs vs $100M+/yr to Palantir.

Section 03

AI Engine — Replicating AIP + Ontology

The core of Palantir's value is the AI Platform (AIP) and its Ontology — a knowledge graph that links objects, events, and entities across sensor feeds over time. This is buildable with open-source tools and commodity GPU infrastructure.

AIP Capability Replication Map

Palantir AIP Capability	Independent Equivalent	Tools / Stack	Build Cost
Object detection in imagery	Custom CV model (PyTorch + TensorRT)	YOLOv9, SAM2, custom fine-tuned on satellite data	$3M–$8M
Change detection	Temporal diff + semantic segmentation	Siamese networks, ChangeFormer, custom pipeline	$2M–$5M
Multi-sensor fusion	EO + SAR + IR + Radar fusion engine	Custom transformer-based fusion, spatial-temporal indexing	$5M–$12M
Ontology / knowledge graph	Entity-relationship graph linking objects across time	Neo4j, Amazon Neptune, custom graph DB	$3M–$7M
Target identification	Military object classifier (tanks, missiles, ships, aircraft)	Fine-tuned ViT / EfficientDet on military imagery datasets	$4M–$10M
Trajectory prediction	Ballistic / vehicle path prediction model	Physics-informed neural networks + Kalman filter	$3M–$6M
Natural language query (LLM)	LLM interface over imagery + intelligence data	Claude API / GPT-4 API + RAG over structured intel data	$1M–$3M + API costs
Kill chain automation	Human-in-loop target package generation	Custom workflow engine + analyst review interface	$5M–$10M
Apollo (CI/CD deployment)	Kubernetes + GitOps deployment pipeline	K8s, ArgoCD, Helm — standard DevSecOps stack	$1M–$2M
Total AI engine build			$27M–$63M

GPU Infrastructure Required

Component	Specification	Purpose	Cost
Primary inference cluster	64–128× NVIDIA H100 SXM5	Real-time object detection on incoming imagery streams	$20M–$40M
Training cluster	32–64× H100 (or cloud burst)	Model training, fine-tuning, quarterly retraining cycles	$10M–$20M or $2M/yr cloud
Storage (imagery archive)	5–20 PB object storage	Raw imagery, processed tiles, vector detections, tracks	$2M–$8M
Network fabric	400GbE InfiniBand interconnect	High-throughput data movement between GPUs and storage	$1M–$3M
Total GPU infrastructure			$33M–$71M

Edge AI on Satellites (replicating Satellogic partnership)

Palantir's most technically advanced integration is with Satellogic — AI runs onboard the satellite before downlink. Two ways to replicate this:

Option	Approach	Cost	Timeline
Option A (fast)	License Satellogic API directly — same partner Palantir uses. Deploy your AI models to their onboard processor via their edge AI SDK.	$1M–$5M/yr licence	3–6 months
Option B (own)	Procure satellites with radiation-hardened NPUs (Ubotica/Spiral). Deploy your own models onboard your own fleet.	+$500K–$2M per satellite	2–3 years

Section 04

Full Independent Build Cost

Build Phases

Phase 1 — MVP (Months 1–12)

$70M–$110M

Palantir-equivalent capability within 12 months

License Planet + ICEYE + Satellogic: $5M/yr
Hire core AI + engineering team (80 people): $25M
GPU cluster (64× H100): $20M
Orchestration platform v1: $8M
Object detection + change detection AI: $8M
Secure web dashboard + API: $5M
Storage + cloud infrastructure: $3M
Security, legal, compliance: $5M
Contingency 15%: $11M

Phase 2 — Full Capability (Months 12–30)

$120M–$200M

Full Palantir AIP/Maven equivalent

Add Maxar + BlackSky licensing: $10M/yr
Full AI engine (all 9 capabilities): $25M
Expand GPU cluster to 256× H100: $40M
Ontology / knowledge graph: $7M
Kill chain + target workflow: $10M
ATAK / C2 / STANAG integration: $8M
Scale team to 200 people: $30M
Classified deployment capability: $10M
Contingency: $25M

Phase 3 — Sovereign Stack (Months 30–60)

$340M–$1.5B

Own satellites — no dependency on commercial operators

Own 30–50 satellites — see tier options below: $180M–$1.2B
Launch services (8–12 launches): $60M
4 ground stations: $50M
Onboard AI chips (all sats): $30M
ISL terminals: $20M
AI v3.0 upgrade: $15M
Scale team to 350 people: $50M
Contingency: $40M

Satellite Tier Options for Phase 3 — What $300M Actually Buys

The $300M figure assumed budget smallsats (1m–3m resolution). Here is the full picture across all tiers, including real-time video options:

Tier	Satellite Class	Resolution	Video Capable	Unit Cost	30-sat cost	50-sat cost	Verdict
Budget	Smallsat — Planet Dove / ICEYE class	1m–3m EO / 1m SAR	No (stills only)	$3M–$8M	$90M–$240M	$150M–$400M	Change detection, ship/vehicle tracking. Good enough for AI fusion.
Mid-Range ✓ Recommended	Planet SkySat / Satellogic / BlackSky Gen-2 class	0.5m–1m EO	Yes — 30fps, 90s clips	$15M–$25M	$450M–$750M	$750M–$1.25B	Individual vehicles, aircraft ID, video stare. Palantir-equivalent tier.
High-Res	BlackSky Gen-3 / Maxar WorldView-class	0.3m–0.5m EO	Yes — 30fps, limited duration	$35M–$80M	$1.05B–$2.4B	$1.75B–$4B	Licence plate-level detail. Full precision targeting. Premium tier.
Ultra-High (VLEO)	Albedo Clarity class — 320km orbit	10cm EO + 2m thermal	Yes — continuous stare mode	$50M–$120M	$1.5B–$3.6B	$2.5B–$6B	Unprecedented commercial resolution. Individual person identification. Highest cost.
All-Weather SAR	Umbra / ICEYE XL class	0.25m SAR + SAR video	Yes — SAR video mode	$15M–$30M	$450M–$900M	$750M–$1.5B	Works through cloud, night, smoke. Best for persistent all-weather surveillance.
Recommended mix: 15 mid-range EO + 10 SAR + 5 VLEO					~$600M–$1.1B for 30 satellites		Balanced capability across all conditions

Total Cost Summary

Phase	Cost	Timeline	Capability Achieved
Phase 1 — MVP	$70M–$110M	12 months	MetaConstellation + basic AIP equivalent. Real-time EO + SAR + AI object detection. First government demo-ready product.
Phase 2 — Full AIP	$120M–$200M	30 months	Full Maven Smart System equivalent. Kill chain automation, ontology, all sensor types, C2 integration, classified deployment.
Phase 3 — Sovereign (budget tier)	$340M–$560M	60 months	30–50 smallsats at 1m–3m resolution + video mode. Full AI stack. Zero operator dependency.
Phase 3 — Sovereign (premium tier)	$700M–$1.5B	72 months	30–50 mid/high-res satellites at 0.3m–0.5m with real-time video feed. Albedo VLEO option included.
Total (full sovereign)	$440M–$760M	5 years	Complete independent equivalent of Palantir's full stack + own constellation

Annual Operating Cost (from Year 3)

Category	Annual Cost
Satellite data licensing (Phase 1–2: all 6 operators)	$15M–$40M
GPU compute + cloud infrastructure	$10M–$25M
Staff (200–350 engineers, AI, ops, BD)	$50M–$100M
Satellite operations (Phase 3 own fleet)	$20M–$40M
Cybersecurity + compliance	$5M–$15M
R&D + model retraining	$10M–$20M
Total annual OpEx	$110M–$240M/yr

Palantir vs Independent — Head-to-Head

Factor	Palantir (licence their platform)	Independent Build
Year 1 cost	$100M–$200M/yr (licence fee)	$70M–$110M (build) + $15M/yr data
Year 3 cost	$150M–$300M/yr ongoing licence	$110M–$240M/yr OpEx (own platform)
5-year total	$750M–$1.5B (pure licence, no assets)	$440M–$760M (own platform + satellites)
Data sovereignty	All intelligence data flows through Palantir servers	Full control — air-gapped option available
Satellite access risk	Palantir can terminate — operators can withdraw	Own constellation = zero dependency
AI model access	Black box — you see outputs, not models	Full model ownership, auditable, customisable
Customisation	Limited to Palantir's product roadmap	Fully customisable to your specific threats/region
IP ownership	Palantir owns all IP	You own all IP — licensable to third parties
Time to first capability	3–6 months (sign contract)	12 months (MVP build)
Revenue potential	None — you are the customer	Sell to other nations — $100M–$500M/yr potential

Bottom line: At full scale, the independent build costs less over 5 years than licensing Palantir — and you end up owning the platform, the IP, the data, and the satellites. The only thing Palantir wins on is speed to first deployment (6 months vs 12).

Section 05

Recommended Technology Stack

Satellite Data (license directly — same as Palantir)

Operator	Why	Integration	Priority
Planet Labs	Daily global coverage, large archive, mature API	Planet SDK (Python), STAC API	Day 1
ICEYE	All-weather SAR — works at night and through cloud	ICEYE API, GeoTIFF delivery	Day 1
Satellogic	Edge AI on satellite — sub-minute detection latency	Aleph platform API, edge AI SDK	Day 1
Maxar SecureWatch	Highest resolution (0.3m) for precision analysis	SecureWatch WMS/WMTS/API	Month 3
BlackSky	Sub-hourly revisit — fastest response to events	BlackSky API, webhook alerts	Month 6
Tomorrow.io	Weather data improves SAR quality scoring + ops planning	REST API	Month 6

AI / ML Stack

Component	Technology	Notes
Object detection	YOLOv9 / RT-DETR fine-tuned on satellite imagery	Fine-tune on xView, DOTA, FAIR1M military datasets
Change detection	ChangeFormer / BIT / custom Siamese CNN	Pre-/post-event comparison at pixel level
SAR analysis	SARVIT / custom transformer for SAR data	Separate model pipeline — SAR ≠ optical preprocessing
Sensor fusion	Custom transformer with spatial-temporal attention	Fuse EO + SAR + IR + Radar into unified object track
Knowledge graph	Neo4j Enterprise or Amazon Neptune	Link detections across time, sensor, and location
LLM interface	Claude API (Anthropic) or GPT-4 Turbo + RAG	Natural language query over intelligence data
Inference serving	NVIDIA Triton Inference Server + TensorRT	Sub-100ms inference at scale
Training platform	PyTorch + Weights & Biases + MLflow	Experiment tracking, model registry, retraining pipelines
Data pipeline	Apache Kafka + Apache Flink + dbt	Real-time stream processing of incoming satellite data

Infrastructure Stack

Layer	Technology	Cost Model
Compute	On-premise NVIDIA H100 cluster (primary) + AWS/Azure GPU burst	$20M–$40M CapEx + $5M/yr cloud
Storage	Pure Storage / NetApp (on-prem) + S3-compatible object store	$3M–$8M for 10PB
Orchestration	Kubernetes (EKS/GKE) + Helm + ArgoCD	Infrastructure as code
Security	Zero-trust (BeyondCorp model), HSMs, AES-256, FIPS 140-3	$3M–$8M setup + $2M/yr
Classified deployments	Air-gapped on-prem Kubernetes clusters, NSA Type 1 crypto	$5M–$15M per classified environment
APIs / delivery	REST + WebSocket + gRPC, API Gateway, CDN for imagery tiles	Included in engineering build

Section 06

Quick Start — 90-Day Action Plan

To replicate Palantir's Phase 1 capability (MetaConstellation + basic AIP equivalent) within 12 months, the first 90 days are critical:

Days	Action	Cost	Output
Days 1–30	Sign data agreements with Planet Labs, ICEYE, Satellogic Hire CTO + Chief AI Officer + 10 senior engineers Procure GPU cluster (32× H100 to start) Set up secure cloud infrastructure (AWS GovCloud or Azure Government)	$12M–$20M	Data flowing. Team hired. Infra live.
Days 31–60	Ingest and index first satellite data feeds Deploy baseline object detection model (fine-tuned on xView dataset) Build orchestration API v0.1 — task satellites, receive imagery Set up analyst dashboard skeleton	$8M–$12M	First AI detections on live satellite imagery.
Days 61–90	Add change detection pipeline Integrate SAR (ICEYE) into fusion layer Add Satellogic edge AI — onboard detections Internal demo — live detection of vehicles, ships, activity changes	$5M–$8M	Demo-ready system. First government pilot conversation.
Day 90 total	Working prototype: 3 satellite feeds, 2 AI models, live dashboard	$25M–$40M	Functional MVP — government demo ready

Milestone: By Day 90, for $25M–$40M, you have a working prototype that demonstrates the same core capability as Palantir's MetaConstellation + basic Maven object detection — running on the same satellite data feeds they use.

Key Hires — First 30 Days

Role	Background Required	Annual Cost
CTO	Space / defence AI systems, 15+ years. ex-Palantir, Planet, or national lab.	$400K–$700K
Chief AI Officer	Computer vision, satellite imagery AI. Published research or ex-DARPA/DIU.	$350K–$600K
Geospatial Engineering Lead	EO/SAR data pipelines, GDAL, STAC, cloud-native geospatial.	$200K–$350K
ML Platform Lead	PyTorch, TensorRT, Triton, GPU cluster management at scale.	$220K–$380K
Senior CV Engineers (×5)	Object detection, segmentation, satellite imagery domain.	$180K–$280K each
DevSecOps Lead	K8s, classified deployments, zero-trust, FedRAMP experience.	$200K–$320K

Section 07

Real-Time Video Satellites — All Options

True continuous real-time video from orbit does not yet exist commercially at global scale — but several systems deliver high-frame-rate video clips, persistent stare modes, and near-continuous coverage that enable real-time AI analysis. Here is every viable option as of 2026, from commercial to classified.

Commercial Real-Time Video Options

Planet SkySat

EO Optical Video · 15 satellites · 0.5m resolution

Used by Palantir via Planet Labs contract

50cm resolution. 30 fps. Up to 90 seconds per video clip. Coverage area ~1×2.5 km per clip. Up to 10 revisits/day per location. Best commercial video option available today. Palantir uses this directly in Maven.

Limitation: 90-second clips, not continuous stream. You task it, it films, downlinks. Latency ~15–45 min from collection to delivery.

License: ~$500K–$3M/yr · Own equivalent: $15M–$25M/sat

Satellogic NewSat

EO Optical Video + Edge AI · 50+ satellites · 1m resolution

Used by Palantir — edge AI partnership

1m resolution. 10 fps. Up to 60 seconds video per pass. Unique advantage: Palantir AI models run onboard before downlink — detections happen in orbit. Up to 8 revisits/day at scale. Multispectral + hyperspectral options.

Best for: AI inference latency reduction. Detection result downlinked in seconds instead of raw video.

License: $1M–$5M/yr · Own equivalent: $10M–$20M/sat

BlackSky Gen-3

EO Optical · 35cm resolution · Sub-hourly revisit

Used by Palantir via MetaConstellation

35cm resolution — near-military grade commercial imagery. Launched Feb 2025. NIIRS-5+ rating. Multiple passes per day over priority targets. Delivers imagery in as little as 60 minutes after collection. Video mode in development.

Best for: Highest-resolution commercial stills with very fast delivery. Bridges commercial and military-grade capability.

License: $2M–$8M/yr · Own equivalent: $35M–$60M/sat

Albedo Clarity (VLEO)

EO + Thermal · 10cm resolution · 320km orbit

Not yet used by Palantir — emerging 2025–2026

10cm visible / 2m thermal — best commercial resolution ever built. Operates at Very Low Earth Orbit (VLEO) at 320km — half the altitude of normal EO satellites. Launched first satellite (Clarity-1) March 2025. Planned 24-satellite constellation by 2028.

At 10cm: individual people visible. Vehicles fully identified. Aircraft type readable. Unprecedented for non-classified systems. Also carries thermal band for heat detection.

Imagery service launching 2026 · Own equivalent: $50M–$120M/sat

Umbra SAR (Extended Dwell / Video)

SAR Radar Video · 8 satellites · 0.25m resolution

Not a Palantir partner — independent capability

0.25m SAR resolution with SAR video mode. Extended Dwell mode enables SAR video — moving objects tracked through cloud and darkness. 5×5 km scene. Sub-hourly revisit for high-latitude regions. Works through rain, smoke, night — completely weather-independent.

Best for: All-weather persistent surveillance where optical fails. Ship tracking, vehicle movement, military logistics.

Per image: $500–$3,000 · Own SAR equivalent: $15M–$30M/sat

ICEYE XL SAR

SAR Radar · 35+ satellites · 0.5m resolution

Used by Palantir in Maven Smart System

0.5m SAR resolution. 35+ satellite constellation. Sub-hourly revisit. Best commercially available SAR constellation by size. All-weather day/night. Ship detection automated. Explicitly used in Maven for military vehicle and naval tracking. Rapid tasking API.

Best for: Complementing optical — when Planet SkySat is clouded out, ICEYE sees through it.

License: $2M–$8M/yr · Own equivalent: $15M–$25M/sat

Classified / Government Real-Time Video Systems

System	Operator	Capability	Access
Starshield	SpaceX / NRO (US classified)	Continuous real-time EO + IR video stare. 183+ satellites launched by April 2025. $1.8B classified contract. Advanced IR sensors tracking ballistic + hypersonic missiles. Built with Northrop Grumman. First true persistent global video surveillance constellation.	US government only. Not commercially licensable. Partnership with US DoD required.
NRO EOCL	NRO + Planet + BlackSky + Maxar	Electro-Optical Commercial Layer — NRO contracts with Planet ($undisclosed), BlackSky ($1B/10yr), Maxar for priority tasking and rapid delivery of commercial imagery for classified use.	Allied nation intelligence agencies via Five Eyes / bilateral agreements.
French CSO / Optical	Airbus / DGA France	0.35m resolution military EO. 3-satellite constellation. Priority tasking for NATO allies. Video mode available at classified tier.	French MoD + NATO partner nations.
Israeli Ofek / OPTSAT	IAI / Israeli MoD	Sub-0.5m military EO. Rapid revisit over Middle East. Real-time video mode for priority targets.	Israeli MoD + select partner nations.

Real-Time Video — Technical Constraints Explained

Constraint	Why it exists	Workaround
No true continuous video yet	A LEO satellite passes over a point in 90–120 seconds. It physically moves too fast for a continuous stare from one satellite.	Multiple satellites in sequence — as one leaves, the next arrives. With 50+ sats over a region you approach pseudo-continuous coverage.
Downlink bandwidth	Raw 30fps 0.5m video generates terabytes per hour. Ground stations can't receive it all in real-time.	Onboard AI (Satellogic model) — only detections, not raw video, are downlinked. Reduces bandwidth 100–1000×.
Ground station contact windows	Satellite can only downlink when over a ground station — typically 8–12 min per pass.	ISL (inter-satellite links) relay data between satellites to the nearest ground station in real-time.
Cloud cover blocks optical video	Optical cameras see nothing through thick cloud.	SAR radar (ICEYE/Umbra) provides all-weather backup. Fuse both into AI pipeline.
VLEO orbital decay	At 320km (Albedo), atmospheric drag degrades orbit faster. Satellites need periodic re-boost.	Ion propulsion system on satellite. Adds cost but enables far better resolution than standard 500km orbit.

Satellite	Type	Qty	Role	Cost (own)
Albedo Clarity-class	VLEO 10cm EO + thermal video	5–8	Precision stare over highest-priority targets. 10cm resolution + thermal. Unprecedented detail.	$400M–$960M
SkySat-class	0.5m EO video (30fps, 90s)	10–15	Broad area video tasking. 30fps clips. Palantir-equivalent imagery quality.	$150M–$375M
BlackSky Gen-3-class	0.35m EO, rapid revisit	8–10	Sub-hourly revisit. Fills coverage gaps between video passes. Near-military resolution.	$280M–$600M
ICEYE / Umbra SAR class	0.25m–0.5m SAR + video	10–12	All-weather backup. Night operations. SAR video for moving target tracking.	$150M–$360M
Satellogic-class + edge AI	1m EO + onboard inference	10–15	High-volume coverage with AI detections transmitted in orbit. Lowest latency alerts.	$100M–$300M
Total recommended mix	43–60 satellites	43–60	Persistent coverage, real-time video, all-weather, 10cm precision strikes capability	$1.08B–$2.59B

Core Business Model — Government Defence Contracts

One model. Maximum leverage. Each government signs a dedicated long-term contract. The same satellite constellation and AI platform serves all contracts simultaneously — marginal cost per new government client is near zero once the constellation is built. This creates extraordinary margin expansion as the client base grows.

🛡️

National Defence ISR Contract

5–10 Year Agreement · Core Revenue

Full-spectrum persistent surveillance: missile early warning, drone detection, border monitoring, threat tracking. Delivered as a managed service — government receives AI-processed threat intelligence, not raw data. Turnkey — includes platform, analysts, and system integration.

$300M–$2B per contract

Depending on nation size and coverage scope

🌐

Allied Theatre Coverage

10–15 Year Agreement · Strategic Tier

Multi-nation theatre-level contracts covering entire regions — e.g. NATO Eastern Flank, GCC Peninsula, Indo-Pacific Arc. Governments co-sign a shared theatre agreement, reducing per-nation cost while expanding coverage. Structured as a consortium contract, billed per nation annually.

$1B–$5B per theatre bloc

5–8 nation blocs across 3 theatres

🔄

Contract Renewal & Upgrade Cycle

Built-In Recurring Revenue

Every contract includes a mandatory technology refresh clause — at Year 5 or Year 7, the platform upgrades to the next generation AI models, sensors, and satellite tier at an additional fee. Clients cannot easily switch: data history, integration depth, and cleared personnel create near-permanent lock-in.

+25–40% on renewal

Automatic upsell at every contract renewal

📡

Sovereign Data Hosting

Add-On · High Margin

Governments requiring in-country data residency pay a premium for a dedicated ground station and sovereign data node installed on their territory. All intelligence data processed and stored within national borders. Particularly attractive to non-Five Eyes nations with strict data sovereignty laws.

$50M–$200M add-on

Per sovereign ground station deployment

🚀

Dedicated Satellite Capacity

Premium Tier · 15-Year Lock-In

Tier 1 clients (major defence spenders: US allies, large NATO nations, GCC states) can contract dedicated satellite tasking priority — effectively reserving orbital capacity over their theatre 24/7. These are the largest contracts, structured as 10–15 year agreements with annual payments and no exit clause.

$2B–$8B per contract

Tier 1 nations only — 5–8 globally

🎓

Embedded Operations & Training

Services Layer · All Contracts

Every contract includes embedded Project MAX personnel operating alongside government analysts. Train local operators, maintain the platform, and provide 24/7 NOC/SOC support. Billed as an annual managed services fee on top of the base contract. Deepens dependency and relationship with each government client.

$30M–$150M/yr add-on

Per government, every year of contract

🤖

UNIT-X — Autonomous AI Robot Army

Platform Multiplier · Maximum Value Booster

+$300B–$500B

Additional valuation contribution

Project MAX's satellite AI layer sees everything from space. UNIT-X closes the loop on the ground. An autonomous robotic combat and logistics fleet — air, land, and sea drones — commanded in real-time by the same AI platform that processes the satellite feed. When the satellite detects a threat, UNIT-X responds. No human latency. Full-spectrum autonomous response from detection to neutralisation.

🤖

Project MAX — Ground Layer

UNIT-X Autonomous AI Robot Army

Satellite sees it. UNIT-X kills it.

🚁

Aerial Drone Swarms

Air Domain

Autonomous UAV swarms (50–500 units per deployment) for ISR, electronic warfare, and precision strike. AI-coordinated swarming behaviour. Satellite-cued targeting — satellite detects missile launch, UAV swarm intercepts within minutes. Loitering munitions + reusable ISR variants.

$2B–$5B per government

Fleet contract + annual resupply

🤖

Ground Combat Robots

Land Domain

Autonomous ground units — wheeled and tracked — for border patrol, base defence, perimeter security, and direct combat support. Equipped with EO/IR sensors feeding back to the Project MAX AI layer. Satellite provides overwatch; ground robots execute. Zero soldier casualties on routine patrol.

$1B–$3B per government

Fleet + maintenance contract

🚢

Naval Autonomous Vessels

Sea Domain

Unmanned surface and subsurface vessels for maritime surveillance, anti-submarine patrol, and coastal defence. SAR satellites track vessel movements; autonomous naval units respond. Particularly high demand from Indo-Pacific and GCC clients managing contested maritime zones.

$1.5B–$4B per government

Fleet + operations contract

🧠

Battlefield AI Command Brain

Command Layer

The central AI that connects satellite feeds to robot units. Real-time threat classification → autonomous mission assignment → robot fleet deployment — all in under 90 seconds. Runs on the same Project MAX AI engine. Government operators set rules of engagement; AI handles execution. Fully auditable decision log.

$500M–$1.5B per government

Command software license + integration

⚡

Counter-Drone & Missile Defence

Active Defence

Dedicated autonomous intercept layer. IR satellites detect missile/drone launch in 2–5 seconds. AI calculates intercept trajectory. Autonomous kinetic or directed-energy interceptors deploy within 60 seconds. Closes the entire kill chain — detect, classify, intercept — without human-in-the-loop delay. The most time-critical use case for AI autonomy.

$3B–$8B per government

Highest-value contract component

🔄

Autonomous Resupply & Logistics

Support Layer

AI-coordinated autonomous logistics — unmanned cargo aircraft, ground resupply vehicles, and forward base management robots. Satellite imagery feeds real-time situational awareness into logistics routing. Reduces human supply chain exposure in contested zones. Annual resupply contracts create a recurring revenue tail on every robot fleet sold.

$200M–$800M/yr recurring

Annual consumables + software updates

UNIT-X Revenue Contribution — Path to $1T

Aerial Drone Swarms

Per Gov: $2B–$5B 20 Govs: $40B–$100B

+$80B–$200B valuation

Ground Combat Robots

Per Gov: $1B–$3B 20 Govs: $20B–$60B

+$40B–$120B valuation

Naval Autonomous Vessels

Per Gov: $1.5B–$4B 20 Govs: $30B–$80B

+$60B–$160B valuation

Counter-Drone / Missile Defence

Per Gov: $3B–$8B 20 Govs: $60B–$160B

+$120B–$320B valuation

Command AI + Logistics

Per Gov: $700M–$2.3B/yr 20 Govs: $14B–$46B/yr

+$140B–$460B valuation

UNIT-X Total — 20 Governments

$8B–$22B per government

$160B–$446B

+$300B–$500B valuation

Combined Valuation: Satellite AI-ISR platform ($500B–$700B) + UNIT-X Robot Army ($300B–$500B) = $800B–$1.2 Trillion. UNIT-X is not a separate company — it runs on the same AI brain, the same satellite feed, the same government contracts. It is the weapon system that makes Project MAX's intelligence layer indispensable and impossible to replace.

Two-Phase Contract Growth Plan

Phase 1
Yrs 1–5

Establish Founding Contract Portfolio — $10B–$20B Total Contract Value

Sign 5–8 government contracts at 5–10 year terms. Target: home nation + 2 NATO allies + 2 GCC states + 1 Indo-Pacific partner. Average contract value $1.5B–$3B each. Contracts fund the full constellation build and deliver positive cash flow from Year 2. Establish the track record and operational proof required for Phase 2.

$10B–$20B TCV

Transition
Yrs 4–6

Constellation Fully Operational — Begin Scaling Government Pipeline

Full 43–60 satellite constellation live. AI platform battle-tested. Phase 1 governments renewing at +30% uplift. Begin active sales to 15–20 new nations across Africa, Southeast Asia, Eastern Europe, Latin America. Theatre bloc contracts introduced. First 10–15 year agreements signed.

$40B–$80B new TCV

Phase 2
Yrs 6–15

Global Government Portfolio — $500B+ Total Contract Value

20–30 active government contracts across all major theatres. Mix of 5, 10, and 15-year agreements. Tier 1 dedicated satellite contracts with 5–8 largest defence spenders. Theatre bloc agreements across NATO Eastern Flank, GCC, Indo-Pacific. Renewals compounding at 25–40% each cycle. Platform becomes the non-US global standard for sovereign AI-ISR. Contracted revenue base crosses $500B — the threshold required to support a $1 Trillion valuation at 2× revenue multiple.

$500B+ TCV

Exit
Yr 12–15

$1 Trillion Valuation — IPO or Strategic Sale

With $500B+ in locked contracted revenue, 78% software margins, and 20–30 sovereign government clients on 15-year agreements, Project MAX reaches a $1T valuation — joining Apple, Nvidia, and Microsoft in the trillion-dollar club. Justification: $50B+ annual recurring revenue at 20× forward multiple = $1T. Alternatively, sovereign wealth fund or consortium acquisition at full valuation. Project MAX becomes the most valuable defence technology company ever built outside the United States.

$1 TRILLION

Target Government Clients by Region

Region	Target Nations	Contract Type	Est. Contract Value	Term
NATO Core	UK, Germany, France, Poland, Netherlands	National ISR + Theatre Bloc	$1.5B–$4B each	10 yrs
NATO Flank	Romania, Bulgaria, Baltic States, Norway	Theatre Bloc (shared)	$500M–$1.2B each	10 yrs
GCC / Middle East	UAE, Saudi Arabia, Qatar, Israel, Jordan	National ISR + Dedicated Sat	$2B–$8B each	10–15 yrs
Indo-Pacific	Japan, South Korea, Australia, India, Singapore	National ISR + Theatre Bloc	$1B–$3B each	10 yrs
Southeast Asia	Philippines, Vietnam, Indonesia, Thailand	National ISR (standard)	$300M–$800M each	5–7 yrs
Africa / Americas	Nigeria, Kenya, Brazil, Colombia, Morocco	National ISR (entry tier)	$150M–$500M each	5 yrs
Total Portfolio	20–30 governments	Mixed	$500B TCV	Avg 10 yrs

10-Year Revenue Ramp

Year	Active Contracts	Annual Revenue	Cumulative TCV Locked	EBITDA Margin	Key Milestone
Year 1	1–2 gov	$500M–$1B	$3B–$6B	20%	First founding contract signed, platform MVP live
Year 2	3–4 gov	$1.5B–$2.5B	$8B–$14B	45%	Constellation Phase 1 live, 3 active ISR operations
Year 3	5–8 gov	$3B–$4.5B	$15B–$22B	60%	Phase 1 portfolio complete ($10B–$20B TCV)
Year 5	10–14 gov	$6B–$9B	$50B–$80B	68%	Full constellation live, Phase 1 renewals begin
Year 7	18–22 gov	$14B–$20B	$150B–$250B	74%	Theatre blocs active, Tier 1 dedicated sat contracts
Year 10	25–30 gov	$28B–$40B	$400B–$500B	78%	Phase 2 complete — $500B portfolio, exit event

Competitive Moat

Advantage	Why It's Hard to Copy
Sovereign satellite constellation	Capital-intensive. 4–6 year build time. Regulatory approvals per orbit. First-mover owns the orbital slots and government relationships.
15-year contract lock-in	Once integrated into a government's defence infrastructure, switching cost is enormous — data history, cleared personnel, SOC integration, and political relationships all bind the client.
Non-US sovereign positioning	20+ nations refuse or are restricted from using US platforms (Palantir, Maxar, NGA). Project MAX is the only credible non-US alternative at this capability level.
Classified AI training data	Models trained on real-world missile, drone, and CBRN signature data from live operations are not reproducible — every year of operation makes the AI advantage wider.
Network effect between contracts	Intelligence from 25 governments feeding the same AI layer means threat models trained on global data. Each new client makes the platform smarter for all clients.

$1 Trillion Valuation Path: $500B+ contracted revenue × 2× revenue multiple = $1T. Or: $50B+ annual recurring revenue at Year 12–15 × 20× forward earnings multiple = $1T. Both routes are achievable with 20–30 government clients on 15-year contracts at 78% gross margins. Project MAX would be the most valuable defence technology company ever built outside the United States — surpassing Lockheed Martin, Raytheon, and BAE Systems combined.

ProjectMAX

The 8 Satellite Partners Palantir Uses

Palantir's AI Software Stack

Palantir Contract Values (Government)

Build vs License Decision

The 4 Layers — Independent Build Specification

Satellite Data Licensing — Direct Cost (No Palantir)

AIP Capability Replication Map

GPU Infrastructure Required

Edge AI on Satellites (replicating Satellogic partnership)

Build Phases

Satellite Tier Options for Phase 3 — What $300M Actually Buys

Total Cost Summary

Annual Operating Cost (from Year 3)

Palantir vs Independent — Head-to-Head

Satellite Data (license directly — same as Palantir)

AI / ML Stack

Infrastructure Stack

Key Hires — First 30 Days

Commercial Real-Time Video Options

Classified / Government Real-Time Video Systems

Real-Time Video — Technical Constraints Explained

Recommended Video Satellite Mix for Independent System

Core Business Model — Government Defence Contracts

Two-Phase Contract Growth Plan

Target Government Clients by Region

10-Year Revenue Ramp

Competitive Moat

Project
MAX