Custom Product Engineering

Agentic & LLM Integration

We build and integrate custom AI agents and Large Language Models into your existing software ecosystem to automate complex, multi-step tasks.

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Overview

What This Covers

Integrating an LLM into a product is easy. Making it reliable, observable, and genuinely useful is the hard part. We design and build agentic AI integrations that automate complex, multi-step tasks inside your existing software ecosystem — with the evaluation, guardrails, and observability that production deployments require.

Included in scope

  • LLM selection and integration (Anthropic Claude, OpenAI, open-source)
  • Agentic workflow design (LangGraph, custom orchestration)
  • RAG architecture and implementation
  • Tool use and function calling
  • Prompt engineering and evaluation
  • Streaming UI and real-time agent output
  • Agent observability and cost monitoring

When to Engage

Situations We're Built For

"We want AI that takes actions, not just answers questions."

We build agents that read your data, make decisions, call your APIs, and take actions — with clear escalation paths when human judgment is needed.

"Our current chatbot gives wrong answers."

Bad chatbots are usually a retrieval, prompt, or evaluation problem. We diagnose the real issue and fix it at the right layer.

"We need to add AI to an existing product without rebuilding it."

We integrate AI via your existing API surface — new capabilities without architectural disruption.

How We Work

Our Approach

1

Capability design

What should the AI do, not do, and escalate? Defined precisely before implementation.

2

Evaluation suite

A test suite that measures AI quality before you show it to users.

3

Integration build

LLM integration connected to your real data, systems, and user interface.

4

Safety and guardrails

Rate limiting, content filtering, output validation, and escalation handling.

5

Observability

Logging, cost tracking, quality monitoring, and alerting for when things drift.

Technologies

Anthropic ClaudeOpenAILangChainLangGraphVercel AI SDKPineconeTypeScriptPython

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