AI Engineering

AI Adoption & Agentic Systems

Production-grade AI agents embedded directly into your workflows — automating decisions, routing tasks, and integrating with ERP, CRM systems.

AI Agents GenAI Integration Automation
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Prod
Agents built for production, not demos
30 days
Typical time to first live automation
−70%
Reduction in manual handling time
Zero
Hallucination-driven production failures

What we deliver

AI Engineering stack — 4 core domains

AI Agents & Automation

  • Multi-agent orchestration (LangGraph, CrewAI)
  • Tool-calling & API integration
  • Human-in-the-loop workflows
  • ERP & CRM integration
  • Document processing agents
  • Decision-routing automation

GenAI Integration

  • LLM selection & fine-tuning
  • Prompt engineering & evaluation
  • RAG pipeline design
  • Vector database management
  • Structured output enforcement
  • Hallucination reduction frameworks

ML & NLP

  • Custom model training & evaluation
  • Text classification & extraction
  • Entity recognition & linking
  • Semantic search systems
  • Multimodal pipelines
  • Model deployment & serving

Production AI Ops

  • Observability for AI systems
  • Latency & cost optimization
  • A/B testing for AI responses
  • Automated retraining pipelines
  • Compliance & audit trails
  • Safety guardrails & filtering
DISCOVER →
Use Case & Data Audit
BUILD →
Agent & Pipeline Design
EVALUATE →
Test & Benchmark
DEPLOY →
Production & Monitor

AI Engineering use cases

Text to codes: LLM-powered medical coding automation for an orthopedic center
Higher accuracy than human coders
NLPLLMRAGAWS
Read case →

New case study in progress

New case study in progress

Technologies we work with

AI Engineering stack

OpenAI GPT-4oClaudeLangChain LangGraphCrewAILlamaIndex PineconeWeaviatepgvector Hugging FaceMLflowWeights & Biases AWS BedrockAzure OpenAIVertex AI PythonFastAPI

Ready to put AI to work in your business — not just in demos?

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