⚡ Now in Production

From Prompts to Purpose

The missing infrastructure that transforms AI agents into actionable enterprise employees. Intent-driven decision making with persistent contextual intelligence.

94%
Context Retention
3.2x
Agent Efficiency
<50ms
Intent Resolution

The IntentLayer Architecture

Click each layer to explore the technical stack

🎯
Intent Detection & Classification
Natural language → structured intent vectors
+
Every interaction is parsed through multi-modal signal processing to extract not just what the user said, but what they actually want to achieve.
Multi-modal parsing
Real-time intent resolution
Confidence scoring
Sub-intent decomposition
Transformer NER BERT-large Vector embeddings FastAPI
🧠
Context Synthesis Engine
Memory retrieval & state reconstruction
+
Retrieves relevant context from vector stores, reconstructs temporal state windows, and synthesizes cross-session knowledge.
Hybrid vector search
Temporal context windows
State snapshot reconstruction
Knowledge graph traversal
PostgreSQL + pgvector Pinecone Neo4j SentenceTransformers
⚡
Decision Orchestration Layer
Policy enforcement & multi-agent coordination
+
Validates decisions against enterprise policies, orchestrates multi-agent workflows, and maintains complete audit trails.
Policy-as-code enforcement
Multi-agent consensus
Action validation
Complete decision lineage
Open Policy Agent Temporal.io Celery Raft consensus
🔌
Enterprise Integration Mesh
API connectors, identity & compliance
+
Integrates with your existing enterprise stack. Handles identity, access control, data residency, and regulatory compliance.
SSO/SAML/OIDC
Event streaming
Data residency
SOC 2 / GDPR / HIPAA
Kong API Gateway Auth0/Keycloak Apache Kafka HashiCorp Vault

Enterprise-Grade Capabilities

🔄

Persistent Intent State

Agent memory that survives restarts, crashes, and session boundaries. Full state reconstruction in under 100ms.

🔗

Multi-Agent Orchestration

Coordinate autonomous agents across teams. Intent routing, conflict resolution, and shared context spaces.

📊

Decision Audit Trails

Complete lineage of agent decisions. Explainable AI outputs with regulatory compliance built-in.

🔐

Zero-Trust Security

End-to-end encryption, SOC 2 Type II certified, data residency controls, and enterprise SSO.

How It Works

From conversation to action in three steps

1

Capture Intent

User interacts with AI agent. IntentLayer parses natural language into structured intent vectors with confidence scoring.

intent: {
  action: "deploy_service",
  confidence: 0.97,
  context_required: ["env", "version"]
}
2

Synthesize Context

System retrieves relevant history, reconstructs previous decisions, and pulls organizational knowledge from vector stores.

context: {
  previous_deploys: 12,
  last_version: "2.4.1",
  policy_check: "passed"
}
3

Execute & Learn

Agent takes validated action, outcome is recorded, and the system updates its knowledge graph for future interactions.

outcome: {
  status: "deployed",
  duration: "4m 32s",
  logged: true
}

The Old Way vs IntentLayer

What separates experimental AI from production agents

Capability ❌ Traditional AI ✅ IntentLayer
Memory Session-only, lost on restart Persistent across sessions, devices, and teams
Context Limited to current prompt window Full organizational context + historical decisions
Decision Making Reactive, no validation Proactive with policy enforcement & approval chains
Auditability Black box, no lineage Complete decision trails, explainable outputs
Multi-Agent Isolated, conflicting actions Coordinated with shared context & consensus
Integration Custom code for each tool Native enterprise connectors (SSO, ERP, CI/CD)
Security Basic API keys Zero-trust, E2E encryption, compliance certified
Governance Manual oversight required Automated policy enforcement & guardrails

Frequently Asked Questions

Everything you need to know about IntentLayer

How is IntentLayer different from a vector database?

⌄
While vector databases store embeddings, IntentLayer is a complete intent orchestration platform. We combine vector search with temporal context reconstruction, decision policy enforcement, multi-agent coordination, and enterprise integration. Think of us as the operating system for autonomous agents, not just the storage layer.

What AI models and platforms do you support?

⌄
IntentLayer is model-agnostic. We integrate with OpenAI GPT-4, Anthropic Claude, Google Gemini, as well as self-hosted models (Llama, Mistral). Our platform sits between your applications and any LLM, adding the persistence, context, and governance layer that's missing from raw API calls.

How does pricing work for enterprise deployments?

⌄
We offer tiered pricing based on intent resolution volume and feature requirements. Starter tier ($499/mo) supports up to 5 agents and 10K resolutions. Scale tier ($2,499/mo) offers unlimited agents with 100K resolutions. Enterprise pricing is custom based on your specific requirements, SLAs, and deployment needs.

Is my data secure? Where is it stored?

⌄
Security is foundational to IntentLayer. We offer end-to-end encryption, SOC 2 Type II certification, and GDPR/HIPAA compliance. Data residency controls let you specify geographic regions for storage. Enterprise plans include dedicated infrastructure options and on-premise deployment for air-gapped environments.

How long does implementation take?

⌄
Most teams are up and running with IntentLayer in under 2 weeks. Our SDKs support Python, TypeScript, Go, and Rust. The typical integration involves: (1) connecting your identity provider, (2) configuring intent policies, (3) integrating our SDK into your agents, and (4) migrating historical context. Our solutions team provides white-glove onboarding for Enterprise customers.

Can I try IntentLayer before committing?

⌄
Absolutely. We offer a 14-day proof-of-concept for qualified enterprise teams. This includes full platform access, dedicated solutions engineering support, and a customized implementation plan. Contact our sales team to schedule your PoC and see IntentLayer in action with your actual use cases.

Ready to Deploy?

Schedule a technical architecture review with our solutions team.

Book Architecture Review →