AI Agent Development

AI Agents That Work for Your Business

AI systems that don't just chat, but read documents, make decisions, and trigger actions.

AI Agent Services

From chatbot to multi-agent systems: three key areas

Agentic chatbots and intelligent support

A chat that understands context, qualifies leads, answers questions, and can schedule appointments or record information in your systems. Not a glorified FAQ.

Agents with memory, tools via MCP (CRM, calendar, inventory), guardrails, human handoff, and quality metrics

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Process automation with agents

Agents that read PDFs, extract data, create invoices, update inventory, or trigger workflows without you having to review everything manually.

Multi-agent architectures with LangGraph, RAG for context, MCP integrations to ERP/CRM, validations, and traceability

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RAG and analytics on your own data

AI answers using your documents, policies, and real data, not what it 'thinks' from the internet. Ideal for support, legal, operations, or sales.

RAG with vector DB, Genkit/LangGraph, LLMs (OpenAI/DeepSeek/OSS), ingestion pipelines, re-ranking, and evaluations

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AI Tech Stack

Orchestration

  • Genkit
  • LangGraph
  • MCP (Model Context Protocol)
  • Custom Agents

Models & RAG

  • OpenAI / DeepSeek
  • Open Source LLMs
  • Vector Databases
  • Embeddings & Re-ranking

Infrastructure

  • Self-hosted / Cloud
  • AWS / GCP / Azure / Runpod
  • Logging & Tracing
  • Evaluations & Metrics

Why AI Agents?

Less Manual Work

More time for strategic tasks while agents handle the repetitive stuff.

Better Data Use

Faster, clearer decisions based on your own data and documents.

From PoC to Production

Serious systems with metrics, control, and traceability, not just demos.

Ready to automate with AI?

Let's start with a short call to see if it makes sense to collaborate.

Schedule your call