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ABOUT TEAMS LAB

Domain experts who build.
Not consultants who delegate.

OUR STORY

Built on a single conviction

Teams Lab was founded on a single conviction: technology without domain depth is noise.

We saw too many supply chain transformation projects fail not because the technology was wrong, but because the team deploying it had never spent time understanding the specific operations it was meant to improve.

"The best algorithm in the world cannot fix a problem it does not understand."

We are based in Hyderabad — not by accident. India's pharmaceutical and chemical export industry, concentrated here, is facing the most consequential trade policy shift in a generation. We intend to be the firm that helps the most capable mid-market exporters navigate it.

Our team combines backgrounds in operations management, trade compliance, machine learning engineering, and product development. We do not split consulting from technology — they are the same practice, done by the same people.

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OUR BELIEFS

Three things we believe

01

Domain first

Technology is a tool, not a strategy. We spend weeks understanding your specific operations, constraints, and competitive context before we write a single line of code or a single recommendation.

02

Research before deployment

Every engagement is grounded in our ongoing research programme. We maintain a living knowledge base of what works — and what does not — in AI-assisted supply chain and trade compliance.

03

Outcomes, not deliverables

We measure our work by the results it produces in your business. Not slide count, not framework adherence, not tool deployment. Results. We write that into every engagement agreement.

RESEARCH LAB

We do not just practice. We research.

Our research function exists to keep our practice grounded in evidence. Every engagement produces data. That data feeds back into research. Research informs the next engagement. It is the loop that keeps our domain knowledge current.

AI Reliability in Industrial Domains

Active

When does AI forecasting outperform traditional methods in manufacturing contexts — and when does it fail? What are the domain-specific failure modes?

FTA Utilisation Barriers for Indian SMEs

Active

Primary research into why India's FTA utilisation rates lag regional peers, and what structural interventions move the needle.

Supply Chain Resilience Metrics

Ongoing

Developing a rigorous, operationalisable definition of supply chain resilience for mid-market manufacturers — beyond the buzzword.

LLM Accuracy on Domain-Specific Tasks

Active

Benchmarking LLM performance on supply chain and trade compliance tasks. Which models are reliable for which task types at what context lengths?

Ready to start?

Begin with a free 30-minute diagnostic call.

No slides. No pitch. Just an honest conversation about your challenge and whether we can help. We will tell you if we cannot.