AI/ML & Generative AI
Building custom machine learning models, fine-tuning LLMs, and integrating Retrieval-Augmented Generation (RAG).
Our AI/ML capabilities.
How we deliver this service.
- 1. Data Audit & Feasibility
Evaluating data quality, privacy constraints, and AI model candidate suitability.
- 2. Architecture & RAG Pipeline
Building ingestion pipelines, chunking strategies, embeddings, and vector indexing.
- 3. Model Tuning & Guardrails
Implementing evaluation frameworks, prompt safety, and output validation.
- 4. API Deployment & MLOps
Deploying inference microservices with latency monitoring and cost management.
What this looks like in practice.
Real examples of the type of systems we architect and deliver.
Internal Knowledge Base RAG
Built a retrieval-augmented generation system over 10,000+ internal documents, giving enterprise teams instant cited answers from proprietary documentation.
AI-Assisted Customer Support
Deployed an LLM-powered support assistant that routes queries, drafts responses, and escalates edge cases to human agents — reducing resolution time by 55%.
Have a system to build?
Tell us what you're building, what you're trying to solve, and where you are today. We'll help shape the right technical approach.