We build the AI that survives production.
Demos are easy. Systems are hard. QuantPi engineers the full distance — evals, infrastructure, guardrails, governance — for enterprises that need AI to hold up under real traffic, real auditors, and real unit economics.
Services
Nine disciplines, one standard: if it can't be measured, monitored, and handed over, it isn't done.
AI Product Development
Discovery to launch: eval harnesses, serving infrastructure, and the unglamorous 80% that makes AI dependable.
read the spec →LLM Integration & RAG
Retrieval systems with measured faithfulness — grounded answers that cite sources or decline to guess.
read the spec →ML Engineering & MLOps
Feature pipelines, deployment automation, and drift monitoring. The 95% of ML that isn't the model.
read the spec →AI Strategy Consulting
Roadmaps written by engineers — every recommendation carries an architecture, a cost model, and a kill criterion.
read the spec →Cloud Infrastructure for AI
GPU orchestration, landing zones, and hybrid stacks on Azure, AWS, GCP — or fully inside your network.
read the spec →Document Intelligence
OCR, layout-aware extraction, and semantic search that turn document piles into queryable, auditable data.
read the spec →Responsible AI & Governance
EU AI Act, GxP, model risk — compliance engineered into the stack, evidence generated by the system.
read the spec →GCC as a Service
AI-first capability centers in Hyderabad — advisory, build, or build-operate-transfer.
read the spec →Transformation Consulting
Operating models proven by delivery: we ship a lighthouse, then systematize what worked.
read the spec →Industries
Domain constraints aren't obstacles to the engineering — they are the engineering.
Financial Services
Models that pass second-line review — explainable, monitored, fair-lending tested.
explore →Manufacturing
Vision and predictive systems engineered for operator trust and edge networks.
explore →Retail & E-commerce
Search, pricing, and forecasting measured the way retail respects: on the P&L.
explore →Supply Chain & Logistics
Demand sensing and document automation that compress the cash cycle.
explore →Products
Patterns we shipped enough times to turn into platforms.
Document intelligence, deployable anywhere
OCR, classification, extraction, semantic search, and a RAG copilot over your documents — on-premises first, cloud-pluggable by design. Built for organizations whose documents can't leave the building.
see the platform →Trade intelligence for import/export
Compliance documentation, customs automation, shipment tracking, and quote generation for global trade operations — the paperwork layer of trade, automated.
see the platform →The operating principles
Engineers, end to end
No handoff between the people who sell, design, and build. The architect on the first call writes code on the project.
Evidence over opinion
Eval suites before features, baselines before models, measurement before claims. Every promise is testable.
Full IP transfer, zero lock-in
Code, infrastructure, evals, runbooks — all yours. We compete on the next project, not on captivity.
Regulated-grade discipline
GxP, financial MRM, EU AI Act — we build for the audit you'll face, in industries where 'move fast' is a finding.
From the engineering blog
RAG vs fine-tuning vs prompt engineering
A decision framework drawn from production systems — when each works, when each quietly fails.
read →How we cut ML inference costs 68%
Quantization, batching, and right-sizing — the engineering ledger of a real cost-reduction project.
read →Multi-agent systems in production
What survives contact with real users when you orchestrate LLM agents — and what doesn't.
read →