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The Machine Learning Company

Enterprise AI, engineered for global scale.

TMLC designs, builds, and runs AI systems for the world's most demanding industries. Deployed in your environment. Governed by your policies. Trusted with your data.

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Abstract illustration of a galaxy
0+global enterprises
0countries served
0+GenAI systems in production
4–6weeks to first value
Clients & partners

Trusted by teams across banking & financial services, insurance, logistics, healthcare, retail, and manufacturing.

Saurabh Shahane, Founder of TMLC
Saurabh Shahane
Founder, TMLC
Leadership

Led by a Kaggle Grandmaster.

TMLC is led by Saurabh Shahane, Kaggle Grandmaster — a rank held by a few hundred practitioners worldwide — with engineers and MLOps practitioners who ship inside regulated enterprises. The people who scope your system are the people who build it.

Kaggle Grandmaster
The highest rank in competitive machine learning
Stanford Seed
Seed Spark program, South Asia region
15+ systems in production
Across banking, insurance, and logistics
About TMLC →
What we do

From strategy to production. One team.

All services →
What we build

Products proven in production.

Every product here runs today inside a client's environment. We productized what worked.

All products →
01
Custom & Domain LLMs
Language models tuned to your domain and trained on your corpus — deployed inside your infrastructure.
Explore →
02
AI Agents
Multi-step agents that run scheduling, support, and operations end-to-end — escalating only what needs a human.
Explore →
03
Computer Vision Systems
Inspection, detection, and automation systems built for industrial environments.
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04
AI & ML Platforms
Analytics and document-intelligence platforms that turn unstructured data into decisions.
Explore →

Who we work with.

Sector expertise
Banking & Financial Services
Compliance automation and document intelligence, deployed on-premise — one bank cut risk-assessment turnaround by 60%.
Compliance & risk intelligence →
Logistics & Supply Chain
AI agents for scheduling and customer operations, escalating only what needs a human.
Autonomous operations agents →
Retail & Consumer
GenAI analytics that turn unstructured customer feedback into merchandising decisions.
Customer & merchandising analytics →
Insurance
Policy and claims document intelligence with human-in-the-loop validation.
Claims document intelligence →
Healthcare
AI for clinical operations and resource allocation — with patient data kept in-house.
Clinical & operational AI →
Manufacturing
Vision-based inspection and automation across industrial environments.
Vision inspection & automation →
Global footprint

One team, eight countries.

20+global enterprises served
8countries with systems in production
3delivery hubs — India · UAE · UK
How we work

From first meeting to first value in 4–6 weeks.

The delivery playbook →
01
Discover

Map the business problem, data landscape, and success metrics with your team.

02
Prototype

A thin end-to-end slice on your real data path that proves the metric can move.

03
Build

Production engineering with a quality gate at every step.

04
Deploy

On-premise or in your cloud — your data never leaves your control.

05
Scale

Monitoring, retraining, and expansion across teams and use cases.

Built with

Perspectives.

All insights →
Case study
Compliance, automated: a custom LLM for a financial services firm
Case study · 6 min read
Engineering
MLOps for on-premise GenAI: pipelines you can run without a public cloud
Engineering · 6 min read
Strategy
Why most enterprise AI pilots never reach production
Strategy · 9 min read
Careers

Build the AI systems enterprises actually run.

Engineering roles, remote-first from India — your code reaches live enterprise workflows, not a sandbox.

View open roles →

Tell us your hardest problem.

The first meeting is a working session — we'll show you what we've shipped.

Schedule a meeting

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