AI agents and LLM systemsbuilt to run in production.

We design, build and ship single and multi-agent systems, LLM-powered applications, RAG pipelines and the AI infrastructure behind them — with senior engineers working in US time zones.

  • 50+ projects delivered
  • 98% client retention

What we buildand what keeps it honest in production.

  • AI agents & automation

    Single and multi-agent systems that reason, plan and execute, built with CrewAI, AutoGen, LangGraph and custom frameworks.
  • LLM-powered applications

    Conversational AI and document intelligence on GPT, Claude, Gemini and open-source models, with prompt engineering and guardrails.
  • RAG & AI infrastructure

    RAG pipelines, vector databases, embedding strategies, fine-tuning workflows and evaluation frameworks.
  • Evals & monitoring

    Evaluation frameworks, guardrails and tests run against real scenarios, and monitoring once it is live — so every model or prompt change is measured instead of guessed.

Tools we build withchosen per project.

  • LangChain
  • CrewAI
  • AutoGen
  • Anthropic
  • OpenAI
  • Pinecone
  • pgvector
  • FastAPI
  • Node.js
  • Next.js
  • AWS
  • GCP

How a build runs,from brief to production.

  1. 01

    Brief

    We work with you to understand the business goal, the people who will use it and the technical constraints. Then we pick the right approach and define what success looks like.

  2. 02

    Architecture

    Our team designs the architecture: models, frameworks, data flow and infrastructure. You get a technical spec and a development roadmap before the first sprint.

  3. 03

    Build

    We build in sprints with continuous demos, using agentic development practices for fast iteration while keeping production-grade code quality.

  4. 04

    Evals

    Evaluation frameworks, guardrails and tests run against real scenarios, so every model or prompt change is measured instead of guessed.

  5. 05

    Ship

    From CI/CD pipelines to observability dashboards, we make sure the product runs reliably once real users arrive, and keep improving it after launch.

  6. 06

    Scale

    The network that staffs our projects can also extend your team or help you hire: dedicated engineers who work your hours, or candidates for your own payroll.

Beyond the buildthe same partner.

  • Need the product around it?

    Web platforms, APIs and integrations, with the AI layer inside.
  • Already have a team?

    Senior engineers embedded in your team. We hire, you lead.

Tell us which workflowyou want an agent to run.

Share the product or workflow, your stack and your timeline. If you need engineers instead, tell us the roles.

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