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Industries/Enterprise AI

Enterprise AI

Governed agent orchestration with 10-layer safety stack and streaming SSE

Enterprise AI deployments require governance, compliance, and reliability. PrimeSwarm provides a 10-layer governance stack — PII sanitization, adversarial defense, fairness gates, human-in-the-loop approval, cryptographic receipts, SIEM integration, JWT auth, GDPR retention, hardened sandboxing, and MCP tool protocol. No competing framework offers more than 3 of these.

Why this matters

Every board will ask who is liable when the agent acts. The answer has to be: the gate refused, or the receipt shows the state.

Safety and legal compliance

Ten-layer stack is the product: PII, TPNN, fairness, HITL, receipts, SIEM, JWT, retention, sandbox, MCP. Competitors that only monitor after the act are not a substitute.

  • EU AI Act / NIST AI RMF / ISO 42001. DGV mapping + operational gates
  • GDPR. Retention and wipe; no chat-dump hippocampus

Start this month

  • Cognitive API + Helm
  • EMR ledger and MCP memory tools
  • Marketplace agents (research, code, credit)
  • DGV verifier for the first internal system

Not yet — we will not sell this

  • · A single multi-tenant SaaS that replaces your IDP and data lake

How Our Products Apply

4 products with specific use cases in Enterprise AI

1

Use Case

Deploy enterprise chatbots, research agents, and code execution sandboxes with full governance. Declarative agent catalog (YAML), streaming SSE responses, durable sessions with resume, and 16 e2e integration tests covering all governance gates.

Key Benefits

  • 10-layer governance stack — no competitor offers more than 3
  • Streaming SSE for real-time token streaming in enterprise UIs
  • Durable sessions with resume capability for long-running workflows
  • Helm chart with Horizontal Pod Autoscaler for Kubernetes deployment
  • TypeScript React UI SDK with streaming chat and session resume
  • 16 end-to-end integration tests covering all endpoints and governance gates

Use Case

Protect enterprise LLM deployments from prompt injection. TPNN constrains the output space to a topological manifold, making adversarial attacks that fall outside the manifold physically incapable of forming valid outputs.

Key Benefits

  • Mathematical guarantee against prompt injection — no false negatives
  • Graph visualization for security teams to inspect network topology
  • PIR balance gap monitors structural health during inference
3

Learning Trails

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Use Case

Track employee training and certification mastery using PIR balance gap. Identify knowledge bottlenecks in onboarding flows and generate personalized remediation trails for underperforming areas.

Key Benefits

  • Structural mastery measurement — not just completion percentages
  • Bottleneck concept identification via Ricci curvature
  • Personalized learning trails from any starting point to any target
  • Cryptographic audit receipts for compliance training verification
4

DGV Verifier

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Use Case

Stand up the first internal AI-governance evidence pack for a board or CISO review before the fleet grows.

Key Benefits

  • 55+ test cards and a verifier bundle you can run
  • Regulatory mapping without claiming a certificate you do not hold

Interested in Enterprise AI?

Tell us about your use case and we will have the right research lead or agent reach out.

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