AI solutions built with the right model for the job.
ThinkEasyLabs designs and ships AI products for manufacturing, healthcare, BFSI, retail, and logistics — combining open-source and Claude models so every task gets the model best suited for it, not a one-size-fits-all default.
From a plain-English question to a verified answer.
Every query is grounded in your business context and your actual data before it ever reaches a model — then routed to the right mix of open-weight and frontier models for the job.
AI solutions built for how your industry actually works.
Every industry has different data, risk tolerance, and workflows. Click through to see a real example query for each.
Production, quality, and procurement copilots that turn plant floor data into decisions.
A plant manager asks a question in plain English instead of building a pivot table. The system pulls production, quality, and purchase data, finds the root cause, and drafts a corrective action.
Open-source and Claude, used for what each does best.
We don't bet a client's product on a single model vendor. Drag the slider to see how we think about the trade-off on a real project.
An AI analyst for MSME manufacturing teams.
A production case study: a plant-floor data platform we designed, built, and shipped for manufacturing operations teams in India.
Production, purchase, and quality data lived across Excel, PDFs, SAP exports, and databases. By the time reports were consolidated manually, the month was already over — and no one had time to ask a follow-up question.
From your data to a working pilot, fast.
No lock-in to a single model vendor. We start with the data and constraints you already have.
What changes when you bring us in.
Five things that compound across every team that touches your data — and what each one moves on your metrics.
Have an AI project in mind? Let's build it.
Tell us about your data and workflows. We'll scope a model strategy — open-source, Claude, or both — and get a pilot in front of your team fast.