Astris AI for Government: A Full-Stack AI Platform for High-Assurance Missions
Lockheed Martin's subsidiary, Astris AI, has launched Astris AI for Government-an integrated AI platform built to meet high-assurance mission needs across federal, state and local agencies. The offering brings the core pieces agencies ask for: secure infrastructure, proven AI software, and an operational pipeline that can move models into the field.
At its core is a simple idea: remove the friction that slows AI deployments, without forcing vendor lock-in or custom one-off integrations.
What Astris AI for Government Includes
The platform unifies four layers into a single environment:
- Oracle Cloud Infrastructure's U.S. network for both unclassified and classified regions (learn more).
- Meta's open-source AI models.
- NVIDIA AI Enterprise software for training, tuning and inference.
- Astris AI's AI Factory for MLOps and generative AI workflows.
"By integrating the best of American technology, the Astris AI for Government full-stack solution eliminates fragmentation and procurement barriers that slow adoption for secure, mission-ready AI-without vendor lock-in or complex integration challenges," said Sarah Hiza, senior vice president of technology and strategic innovation at Lockheed Martin.
Astris AI was formed in December 2024 to provide MLOps to the U.S. defense industrial sector, and this release extends that mission to a broader set of agencies.
Why This Matters for Agencies
- One place to run AI across unclassified and classified environments with consistent tooling.
- Open-model flexibility so teams can select, fine-tune and govern models based on mission needs.
- Production-grade MLOps to move from prototype to fielded capability with repeatable pipelines.
- Procurement simplicity-fewer moving parts, fewer integration risks.
Early Mission Uses
Astris AI for Government is built to continuously ingest and process data at the edge, then push timely insights to operators and analysts. Two noted applications highlight the range of missions:
- Genesis Mission: accelerate AI use for scientific discovery through scalable model training and evaluation.
- Department of the Interior: support faster, better-informed decisions during wildfires to reduce property loss and save lives.
What Comes Next for Astris AI
The company is expanding its partner network and advancing PEARL-Persistent Environment for AI, Readiness and Learning. PEARL is a large-scale AI and simulation environment intended to drive operations analysis, domain-specific model development, AI test and evaluation, and simulation-to-real integration.
How Government Teams Can Act Now
- Map mission data flows: identify edge, tactical, and enterprise sources you need to process continuously.
- Select model strategies: choose open-source baselines vs. fine-tuned models based on risk, cost, and control.
- Stand up repeatable pipelines: standardize data prep, tuning, evaluation and deployment across enclaves.
- Plan for test and evaluation: define performance, reliability and safety gates before field deployment.
- Coordinate with security early: align ATO, data classification, and audit requirements with the platform's controls.
For agencies building workforce capability in parallel, explore practical AI upskilling paths by job function at Complete AI Training.
Context and Timeline
The launch arrives as agencies prepare for increased AI adoption and governance in 2026. Leaders across government and industry are scheduled to discuss priorities and lessons learned at the 2026 Artificial Intelligence Summit hosted by the Potomac Officers Club on March 19.
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