Core Service

AI Engineering LLM pipelines and ML systems built for production

We design and ship production-grade AI systems — LLM pipelines, RAG architectures, custom ML models, and AI agents — that run reliably at scale, not just in demos.

LLM Solutions Generative AI NLP AI & ML
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>95%
Accuracy on structured extraction tasks
8 wks
Typical time from scoping to production
Zero
Hallucination-driven production failures

What we deliver

AI Engineering stack — 4 core domains

LLM Pipelines

  • RAG architecture design & implementation
  • Prompt engineering & evaluation
  • Fine-tuning & model customization
  • Structured output enforcement
  • Context management strategies
  • Hallucination reduction frameworks

ML Model Engineering

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

Vector & Knowledge Systems

  • Vector database selection & setup
  • Embedding pipeline design
  • Knowledge graph integration
  • Hybrid search (dense + sparse)
  • Document chunking strategies
  • Retrieval evaluation frameworks

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
SCOPE →
Use Case & Data Audit
BUILD →
Pipeline & Model 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 LangGraphLlamaIndexPinecone WeaviatepgvectorHugging Face MLflowWeights & BiasesAWS Bedrock Azure OpenAIVertex AIPython FastAPI

Ready to move AI from proof-of-concept to production?
Let's talk.

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