Defense & Sovereign Technology · Controlled Access · DEF-013

Space & Satellite Operations Assurance

Commercial reference
DEF-013

When contacting BivectorAI, quote DEF-013 — Space & Satellite Operations Assurance.

Who this is for

Satellite operations leads and platform-health engineers who need a repeatable evidence record before approving a recovery or mission change.

The problem you already have

A maneuver can look survivable while it silently borrows margin from another subsystem

Approving a recovery or station-keeping maneuver because one subsystem looks healthy doesn't confirm the maneuver is safe if it also depends on thermal, attitude, or propulsion margin that wasn't checked together with it. A healthy subsystem can mask a failing one when they're reviewed separately.

Safe mode isn't safe just because it's labeled that way

A spacecraft entering safe mode needs power-positive state, thermal bounds, attitude control, and ground-commandability to actually hold, not just the safe-mode flag being set. Verifying the label matches the reality is exactly the reconciliation that's easy to skip under operational pressure.

This works from telemetry you already log, not live command access

Never requested, and structurally rejected if submitted: live satellite command access, classified orbital-operation parameters, or telemetry outside the evidence contract.

Real-World Operational Scenario: The Safe Mode That Wasn't

Scenario: A spacecraft enters safe mode after an anomaly.

Power reports POWER_POSITIVE. Attitude control reports NOMINAL. Ground schedules a recovery maneuver.

WITHOUT this check: Ground control sees "safe mode: ACTIVE, subsystems: NOMINAL" and proceeds with the planned recovery, assuming safe mode will hold through the maneuver window.

WITH this check: Power, thermal, attitude, and ground-commandability are checked together — thermal margin is degrading faster than modeled. The report reads SAFE_MODE_MARGIN_INSUFFICIENT — RECOVERY_HOLD instead of a blanket ACTIVE status.

Real-World Operational Scenario: The Reconnected Satellite That Wasn't Actually Back

Scenario: A satellite loses ground contact during a communications outage. Hours later, contact is reestablished.

Telemetry starts flowing again, commands can be sent and acknowledged.

WITHOUT this check: Ground control sees "contact restored" and resumes normal operations tempo, including a previously-queued maneuver command that was approved before the outage began.

WITH this check: Recovered contact alone doesn't restore full authority — the system checks whether the spacecraft health and orbital evidence behind the queued command are still current. The command was approved against a generation that's now hours stale; if anything material changed during the blackout, it requires revalidation before executing, rather than running on stale authorization just because the link came back.

What BivectorAI Provides

One Healthy Subsystem Can't Vouch for Another

Approving a maneuver because one subsystem looks healthy doesn't confirm safety if it depends on margin from a subsystem reviewed separately.

Reconnection Restores the Link, Not the Authority

A command approved before an outage is revalidated against current health and orbital evidence before executing — reconnecting proves the link works, not that the old approval still holds.

Safe Mode Is a Combination, Not a Flag

Power-positive state, thermal bounds, attitude control, and ground-commandability must hold together, not just the safe-mode bit being set.

Evidence, Not a Command

Output is a readiness or hold state for review — it never issues live satellite commands, and never requires classified orbital-operation parameters.

Prove the Gate Before Broader Integration (Zero-Risk Evaluation)

Do not buy the claim. Test the gate.

Feed synthetic telemetry where each subsystem individually reports nominal but combined margin is insufficient for the planned maneuver window, alongside a queued command approved before a simulated outage. It succeeds only if it flags the margin shortfall and holds the stale command for revalidation.

This initial trial measures margin-sufficiency detection and stale-authority prevention after reconnection. Commercial scale-up occurs only after measured results prove value in your own lab environment.

What you provide

Redacted platform-health, orbital-operation, and recovery-state telemetry already logged by your operations center.

What BivectorAI actually hands you

Evidence package

  • platform-health classification
  • recovery-readiness evidence
  • operational-state contradiction records
  • reviewable operations certificates

Integration package

Customer-safe input/output contract, local/private integration boundary, validation fixtures and reviewable evidence artifacts.

Deployment model

Qualified local, private or on-premise integration. No public Defense API and no uncontrolled public execution surface.

Technical disclosure

Customer-visible behavior and evidence are disclosed. Confidential implementation details, protected core methods and internal technical data are not published.

What we will never ask you for

Never requested, and structurally rejected if submitted: live satellite command access, classified orbital-operation parameters, or telemetry outside the evidence contract, or your system's core design data. Every submission is checked against this rejection list before any evidence logic runs — a malformed or over-broad submission is blocked and reported back to you, not silently processed.

How it actually runs

01
You export the redacted platform-health and recovery-state telemetry already logged by your operations center.
02
The evidence engine runs inside your boundary. Local CLI, on-prem container, or air-gapped VM — nothing leaves your network.
03
You receive a hash-sealed evidence certificate. Classification, confidence, and contradiction records included, ready for program review.
04
You decide. The engine does not take control action or issue commands — it hands your reviewers structured evidence for the decision that remains yours.

Engagement path & current acquisition terms

DEF-013 · Tier C — Strategic Sensing / Infrastructure

Negotiated diligence option
On request

Secures a defined diligence and exclusive-negotiation period. Any option credit is agreed in writing as part of the signed commercial terms.

Private integration / NRE
On request

Starting integration engineering, customer-safe adaptation, local/private deployment work, validation and acceptance evidence for the agreed environment.

Exclusive field-of-use license
On request

Scope-dependent consideration for negotiated exclusivity in a defined field, program, platform class, territory and rights scope.

Annual technology & sustainment
On request

Engineering support, update access, security maintenance, evidence infrastructure and agreed sustainment services.

Program revenue participation
Negotiated

Applied to attributable net program revenue under the definitive agreement, subject to negotiated exclusions and accounting rules.

Commercial boundary. These are indicative starting terms, not a binding offer. Final price depends on exclusivity scope, field of use, territory, sublicensing, technical-data rights, integration obligations, export-control review, support requirements and definitive agreement.

IP boundary. Exclusive FOU does not automatically transfer ownership of BivectorAI Background IP. Worldwide/all-defense rights, sublicensing, source-level technical-data rights or assignment require separate negotiated consideration.

Controlled acquisition

Scope the DEF-013 diligence and integration boundary

Request DEF-013 Acquisition Discussion →

Email fallback: contact@bivectorai.com

Defense technology is integrated through qualified local/private engagement. No public Defense API and no automated Defense checkout are provided.