Product: QAINET® MEPs

Mission Execution Packages (MEPs)

Mission Execution Packages — certified autonomy, edge-deployed.

A MEP is what QAINET® delivers from natural-language mission intent.

It's the unit of work, the unit of delivery, and the unit of certification.

What a MEP gives you that nothing else does..

1. Structural safety guarantees. Every emission gated by satisfiability against a cryptographically sealed safety kernel. The kernel is structurally unmodifiable — not policy-protected. There is no override path, no operator bypass, no learned exception.

2. Cryptographic provenance. End-to-end signing chain: mission text → SPECTRE encoding → 3SAT compilation → FCCM-93 bytecode — sealed with ephemeral cryptographic keys destroyed after signing. Tampering is structurally detectable.

3. Bit-identical execution across runtimes. The same MEP runs bit-identically across CPU, GPU, Python, Rust, FPGA, and silicon. No "works on my machine" failure mode. No deployment-vs-development drift. Verified through multi-backend parity gates.

4. Full edge autonomy. No cloud. No phone-home. No continuous-learning loop. The MEP carries everything it needs. Operates through degraded, denied, or contested environments.

5. Self-organized federation. Multiple MEPs running on multiple agents coordinate deterministically without a central controller. Loss of any agent triggers automatic reconfiguration with no operator intervention. In the Hanscom 100-drone demonstration, neutralizing one drone triggered instant 100-drone reconfiguration, no operator intervention.

6. Quantum-promoted where it counts. Two pipeline stages automatically escalate to quantum hardware when problem complexity warrants: 3SAT solving at compilation, QSA behavior arbitration at runtime. Across cloud QPU backends, including photonic. Classical paths run by default; promotion is budget-gated.

How an MEP is built:

Natural-language mission intent

↓

SPECTRE encoding

↓

3SAT compilation (with quantum-promotion gate)

↓

FCCM-93 bytecode (CPU · GPU · Python · Rust · FPGA · silicon)

↓

Multi-backend parity verification

↓

Adapter layer (PX4 / ROS 2 / NOS3 + cFS / custom)

↓

Edge-autonomous deployed agent (DELIVERABLE)

18-stage interactive compilation pipeline. Bit-identical parity across three independent backends. 82 million cryptographically sealed 3SAT constraint clauses, growing 15 million per month.

Validation pedigree — the Simulator Triad

The same adapter that bridges QAINET® to each simulator bridges it to the corresponding hardware. There is no separate "simulator mode."

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If the swarm flies the sim, it flies the drones.

What you can do with a MEP

  • Certify it. Hand the evidence package to your safety reviewer. The deterministic, signed, replayable execution trail is the foundation safety certification requires.

  • Deploy it offline. Edge-only. No cloud. No continuous learning.

  • Replay it. Audit any past mission, bit-for-bit, across any supported backend.

  • Federate with it. Multiple MEPs coordinate as a self-organized swarm without central control.

  • Update it. Push new constraints mid-mission; the substrate recompiles in milliseconds.

What you don't have to do

  • Curate training data

  • Hand-tune a reward function

  • Run continuous learning in production

  • Maintain a cloud control plane

  • Write platform-specific autonomy code for each domain