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AI That Ships Inside Your Product

Assistants, intelligent agents, retrieval pipelines, and automation — designed, built, and integrated into your platform by engineers who treat AI as software, not magic.

Our work ships under strict NDAs. We show what we know, not who we built it for.

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What We Build

Every AI feature we deliver is engineered like the rest of your stack — versioned, tested, observable, and owned by you.

AI Assistants

Conversational assistants for customer support and internal tools — grounded in your data, aware of your business rules.

Intelligent Agents

Agents that plan, call your APIs, and complete multi-step work — with human approval gates where the stakes demand them.

Knowledge & Retrieval

Embeddings, vector search, and retrieval pipelines that turn documents, tickets, and wikis into answerable knowledge.

Voice AI Agents

Voice agents that hold real conversations — inbound support, outbound follow-ups, and call summarization.

Workflow Orchestration

AI wired into business logic: triggers, queues, retries, and integrations that make automation dependable.

Guardrails & Evaluation

Structured outputs, safety rails, and evaluation suites — so quality is measured, not assumed.

Wireframe documents dissolving into glowing vector particles flowing into a lattice index

Your Data, Made Answerable

Models are only as useful as what they know about your business. We build the retrieval layer — ingestion, chunking, embeddings, vector search, and permission-aware access — that lets AI answer from your documents instead of guessing.

  • Retrieval-augmented generation with cited sources
  • Per-user permissions carried into every answer
  • Continuous sync as your content changes

Clean APIs Between AI and Your App

AI capability lands in your product as well-defined endpoints your team can call, test, and version — chat, agents, embeddings, and workflows behind interfaces that outlive any single model.

POST /v1/ai/chat
POST /v1/ai/agent
POST /v1/ai/embeddings
POST /v1/ai/workflow

How We Build AI Features

1

Map the workflow

We find where AI genuinely earns its place in your product — and where plain code is the better answer.

2

Ground it in your data

Retrieval pipelines, embeddings, and permissions bring your knowledge to the model without leaking it anywhere else.

3

Build and integrate

Assistants, agents, and automations are engineered into your stack — your APIs, your auth, your UI.

4

Evaluate and harden

Eval suites, monitoring, and cost controls keep quality and spend under control after launch.

Directed graph of agent nodes passing glowing task tokens along branching paths

Agents That Do Real Work

Beyond chat: agents that read a request, plan the steps, call your systems, and finish the job — booking, triaging, reconciling, reporting. Built with the retries, timeouts, and human checkpoints that production demands.

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Where AI Pays Off

Customer Support

Assistants that resolve routine tickets and hand the rest to humans with full context.

Knowledge Bases

Ask-your-docs search across manuals, policies, and internal wikis with cited answers.

Back-Office Automation

Document intake, classification, extraction, and routing — handled end to end.

In-Product Copilots

AI features inside your own product: drafting, summarizing, recommending, explaining.

Tools We Integrate With

Connect AI workflows to the automation and collaboration tools your team already uses.

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