Service

LangChain Integrations

Orchestrated LLM workflows and intelligent AI agents using LangChain, LangGraph, and LangSmith.

Agentic systems that plan, call tools, and recover from failure. We build observable, evaluable workflows with LangSmith tracing and CI evaluators so every change is provable.
Our Process

Discovery → Design → Build → Test → Deploy / Support

A disciplined cadence that keeps stakeholders aligned and shipping predictable.

  1. Step 1
    Discovery

    Tasks, tools, success criteria.

  2. Step 2
    Design

    Graph topology, memory, guardrails.

  3. Step 3
    Build

    Tools, agents, evaluators.

  4. Step 4
    Test

    Trajectory + outcome evals.

  5. Step 5
    Deploy / Support

    LangSmith, alerts, agent tuning.

Key Capabilities

Tooling we ship with

Battle-tested frameworks, models, and platforms — chosen for outcomes, not fashion.

LangChain
LangGraph
LangSmith
OpenAI Functions
Pydantic
Temporal
Redis
Outcomes

What you'll get out of an engagement

Predictable delivery, measurable outcomes, and a system your team can own.

Production-grade architecture from day one

Senior engineering leadership embedded in your team

Evaluation harnesses and observability baked in

Knowledge transfer, runbooks, enablement

FAQ

Common questions

Ready to ship something users love?

Tell us what you’re building. We’ll bring a senior team to the kickoff call.