02 / SERVICES

AI integrations that survive contact with production.

Focused engineering for teams turning LLMs, computer vision, and machine learning into dependable product workflows, not isolated demos.

01 / SPECIALIST SERVICE

LLM integration & AI agents

RAG, tool use, structured workflows, evaluation, observability, and secure product integration.

Explore LLM integration consulting ↗
02 / SPECIALIST SERVICE

Computer vision engineering

Detection, tracking, datasets, video analytics, GPU optimization, and edge deployment.

Explore computer vision consulting ↗
01

AI integrations

Connect useful AI capabilities to your product, internal tools, data, and existing business workflows with secure, maintainable interfaces.

02

LLM workflows & agents

Design tool-using workflows with retrieval, structured outputs, approvals, retries, evaluation, tracing, and clear operational boundaries.

03

LLM product integration

Model selection, provider abstraction, prompt systems, streaming UX, cost controls, guardrails, and production observability.

04

Computer vision systems

Object detection, segmentation, tracking, OCR, video understanding, data workflows, quality evaluation, and edge inference.

05

Production AI pipelines

Training infrastructure, model serving, APIs, queues, monitoring, versioning, and repeatable deployment workflows.

06

AI product prototyping

Turn a promising use case into a focused prototype, benchmark, architecture, and realistic production roadmap.

LLM SYSTEMS

Make the model one reliable part of the system.

Strong LLM products combine flexible reasoning with deterministic permissions, validation, observability, and recovery paths. I help teams design that full loop.

OpenAI & Anthropic APIsLocal and open modelsRAG & vector searchMCP and tool callingStructured outputsHuman approval flowsEvaluation suitesTracing & cost monitoring

HOW I WORK

Diagnose. Prove. Build. Transfer.

  1. DiagnoseClarify the operating constraints, data, security boundaries, success metric, and deployment environment.
  2. ProveBenchmark the riskiest assumptions early with representative tasks and a focused prototype.
  3. BuildEngineer the workflow, interfaces, evaluation, observability, and operational safeguards.
  4. TransferDocument decisions and make sure your team can own, measure, and improve what ships.

AVAILABLE FOR SELECT PROJECTS

Have an AI system that needs to leave the lab?

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