Arbiter
Many Models. One Verdict.
Multi-model AI verification and governance platform. Query up to 8 AI providers in parallel, detect consensus algorithmically, and deliver confidence-scored verdicts with cryptographic audit trails.
100% hallucination detection. 94.9% F1 score. Zero false negatives across cross-architecture council verification.
100%
Hallucination Detection
Zero false negatives
94.9%
F1 Score
5-model cross-architecture
94.2%
Accuracy
52-claim ground truth dataset
8
Model Providers
Claude, GPT, Gemini, Grok, Mistral, Cohere, Llama, Phi
THE PROBLEM
The Trust Gap in AI
Every AI system is a single point of failure. One model, one opinion, no verification. When that model hallucinates, misinterprets a constraint, or takes an unauthorized action, there is no warning and no audit trail.
This applies everywhere: defense analysts relying on AI-fused intelligence, consumers trusting AI-generated contract summaries, and organizations deploying autonomous agents that make decisions on their behalf.
Arbiter closes the trust gap with multi-model verification, policy-based governance, and cryptographic accountability.
CORE CAPABILITIES
Built for Verification
Council Mode
Orchestrate 3-7 AI models simultaneously. Synthesize outputs, identify consensus and dissent, and surface disagreements with calibrated confidence scores.
Agent Arbitration
Non-invasive governance for autonomous AI agents. Intercept actions via HTTP proxy, webhook, or MCP gateway. Evaluate against policy engines. Build trust over time.
Confidence Engine
Six-stage claim extraction with NLI entailment scoring, semantic embeddings, and cross-model agreement analysis. Calibrated confidence with binned ECE.
Constraint Validation
Upload ROE, SPINS, ACM, or regulatory documents. Multiple models interpret constraints independently. Conflicting interpretations are surfaced before execution.
Content Provenance
Cryptographic hash chains, fingerprinting, chain-of-custody tracking, and revocation support. Every verification decision is auditable and tamper-evident.
Behavioral Learning
Build behavioral profiles for supervised agents. Detect anomalies, score risk, track trust evolution from probation through graduation.
THREE MARKETS
One Platform, Three Missions
DEFENSE & INTELLIGENCE
Verified Decision Support
Multi-source fusion verification, constraint validation against ROE/SPINS/ACM, and edge deployment for DDIL environments. Graceful degradation from full cloud to single local model with transparent confidence adjustment.
- Cross-architecture verification across 8 AI providers
- Constraint document ingestion with multi-model interpretation
- Edge deployment for classified or air-gapped environments
- Complete audit trails for accountability and after-action review
CONSUMER VERIFICATION
Paste-and-Verify
Submit any claim, contract, or document. Arbiter verifies it across multiple AI architectures and returns a confidence-scored verdict with supporting evidence and dissenting views.
- Vertical processors for financial, health, education, and contract claims
- Tiered access from free single-query to enterprise batch verification
- Plain-language explanations at summary, detail, and audit depth
- Batch verification for document review workflows
AGENTIC SUPERVISOR
Governance Without Invasion
Monitor and govern autonomous AI agents without modifying their code. Intercept actions, evaluate against policy engines, and build trust profiles that evolve based on observed behavior.
- Four interception modes: HTTP proxy, webhook, MCP gateway, inline
- Six-gate policy engine: action, threshold, resource, data, network, escalation
- Trust evolution from probation through full autonomy
- Connectors for LangChain, CrewAI, and custom agent frameworks
WHY ARBITER
Decision Advantage
- No vendor lock-in — model-agnostic across 8 providers
- Consensus scoring shows exactly when models agree or diverge
- Complements existing AI investments (Maven, Lattice, custom LLMs)
- 184+ API endpoints with MCP server for tool integration
- Complete cryptographic audit trails for accountability
- Edge deployment for classified or DDIL environments
Latency Architecture
Operators control the speed/trust trade-off. More models mean higher confidence but longer response times.
ARCHITECTURE
Production-Ready Infrastructure
8 AI Providers
Claude, GPT, Gemini, Grok, Mistral, Cohere, plus AWS Bedrock (Llama) and SageMaker (Phi, Gemma). Cross-architecture diversity maximizes verification confidence.
Enterprise Security
JWT + OAuth SSO (Google, Microsoft, GitHub, Okta). Role-based access control, prompt injection defense, WAF-class input validation, and cryptographic audit chains.
184+ API Endpoints
Full REST API across council queries, verification, agent supervision, policy management, and analytics. MCP server with 5 tools for direct AI tool integration.
PRICING
Start Free. Scale With Confidence.
Five tiers from individual verification to air-gapped defense deployment. Every tier includes cryptographic audit trails.
| Tier | Queries | Models | Features |
|---|---|---|---|
| Free | 10 / day | 1 model | Single-query verification |
| Starter | 100 / day | 3 models | Standard mode, basic analytics |
| Professional | 1,000 / day | 5 models | Council mode, batch, API access |
| Enterprise | Unlimited | 7+ models | Deep analysis, SSO, SLA, dedicated support |
| Defense | Custom | All + edge | Air-gapped deployment, constraint validation, agent supervision |
Trust Through Verification
Request a demo to see multi-model verification, agent governance, and constraint validation in action. Or start with the free tier and verify your first claim in minutes.