The engineering between the AI demo and production.
Six capabilities we combine into every agent system. Each one is designed to hold up under a security review, an audit and real traffic.
01
Autonomous Enterprise Agents
We go beyond chatbots. Our supervisor-and-specialist architectures break a business request into steps, route each one to the right specialist, and run it across your existing systems. Every external action passes a human checkpoint.
- Supervisor / specialist routing
- Runtime-enforced approval gates
- Isolated, least-privilege specialists
02
Model Context Protocol (MCP) Integration
We build MCP servers and tool layers that give models scoped, auditable access to your databases, CRMs and internal APIs. Your data stays in your environment. Access runs through your identity provider and is logged.
- Data stays in your environment
- Role-based access control
- Secrets in a managed vault
03
Enterprise RAG Pipelines
Unstructured data is messy. We engineer ingestion pipelines that parse, chunk, embed and index your content, then measure retrieval quality against a golden set so accuracy is tracked, not assumed.
- Automated ingestion & indexing
- Hybrid semantic + keyword search
- Retrieval evals with golden sets
04
GraphRAG & Knowledge Mapping
When the answer depends on how things relate (subsidiaries, contracts, counterparties, dependencies), we model those relationships explicitly in a knowledge graph and combine graph traversal with vector retrieval.
- Entity resolution & linking
- Multi-hop reasoning
- Hybrid vector + graph retrieval
05
Deterministic Extraction Engines
We build schema-aware text-to-SQL and extraction layers where the model writes or selects a query, and a database computes the result. Queries are validated, versioned and hashed, so every number traces back to the exact logic that produced it.
- Validated, parameterized queries
- Schema-aware extraction
- Version hash on every result
06
LLMOps & Observability
We ship with tracing, token accounting, budget alerts and CI checks that enforce your security properties on every change. That way the system you approved is still the system that's running six months later.
- End-to-end OpenTelemetry tracing
- Token caps & budget alerts
- Security invariants enforced in CI
Our engineering stack
Ready to put an agent into production?
Tell us about the workflow. We'll tell you honestly whether an agent is the right answer, and what it would take to make it safe.