ML/GenAI Consulting
From strategy to production—build AI systems that actually work.
What We Do
GenAI strategy and use-case prioritization
RAG system design and implementation
LLM fine-tuning and prompt engineering
Evaluation frameworks and benchmarking
Safety guardrails and content filtering
Production hardening and optimization
Cost analysis and reduction strategies
Monitoring and observability setup
Model selection and architecture guidance
Typical Engagements
01
GenAI Readiness Assessment
Evaluate your organization's AI maturity, identify high-impact use cases, and create a prioritized roadmap for GenAI adoption.
02
RAG System Build
Design and implement a retrieval-augmented generation system with proper chunking, embeddings, and evaluation pipelines.
03
Production Hardening
Take an existing prototype to production with safety guardrails, monitoring, cost optimization, and reliability improvements.
What You Get
- Technical architecture documentation
- Working prototype or production system
- Evaluation framework and baseline metrics
- Runbooks and operational documentation
- Cost analysis and optimization report
- Knowledge transfer and team training
✓ Best For
- Teams with a specific GenAI use case in mind
- Organizations moving from prototype to production
- Companies needing evaluation and reliability frameworks
- Teams lacking in-house ML/AI expertise
How We Work
1
Discovery
Understand goals and assess landscape
2
Prototype
Build and validate proof-of-concept
3
Production
Harden for security and scale
4
Iterate
Measure and continuously improve