Autonomous Systems
Augur
Multi-agent simulation and prediction.
Formal verification applied to emergent multi-agent behavior. Augur simulates swarm dynamics under adversarial conditions, identifies reachable failure states in agent coordination, and produces proof artifacts showing where collective behavior diverges from intended outcomes. Built for systems where no single agent controls the outcome.
N→∞
Agent Scale
SMT
Solver Core
2026
v1.0 Target
§ SPECIFICATION
Input
- Agent behavioral specifications (FSM or temporal logic)
- Communication topology graph
- Adversarial agent count + capability model
Constraints Verified
- Byzantine fault tolerance bounds
- Consensus reachability under partition
- Agent incentive alignment invariants
- Emergent behavior divergence from policy
Output
- Reachable failure state proof
- Minimal adversarial coalition size
- Coordination failure witness trace
- Formal certificate of convergence (if UNSAT)
§ SAMPLE PROOF ARTIFACT
ARTIFACT // AUGUR-COORD-01FAILURE DETECTED
// SAMPLE PROOF — AUGUR ENGINE
AI agent swarm — coordination deadlock under 33% adversarial
TargetGeneric multi-agent consensus protocol
Condition
f > n/3 adversarial agents → liveness violation provableVerdictSAT
SummaryDeadlock reachable with 34% Byzantine agents. BFT threshold violated by protocol design.
StatusReview-ready
Run Augur on your system.
Formal engagement starts with a technical intake. We scope, configure, and deliver a proof artifact within the agreed SLA.