About YUNIK

Human expertise.
AI-powered execution.

We bring people and AI agents together to build enterprise intelligence grounded in your data, knowledge and processes, inside your perimeter.

Your Intelligence. Uniquely Yours.

Humans bring judgment, expertise and ownership; AI agents research, build, validate and scale the work.

Recognitions

NVIDIA Inception Program badge Member of the NVIDIA Inception program
DPIIT Recognised Startup
Startup India, Government of India · No. DIPP282999

Research-informed. Enterprise-built.

Darshit Kasliwal, Founder and CEO of YUNIK AI Labs
Every enterprise deserves its own Sovereign AI Lab.
Co-created with you, grounded in your data and governed by your rules.
Darshit KasliwalFounder & CEO | YUNIK AI LabsHarvard Business School Alum · Stanford Seed Transformation ProgramConnect on LinkedIn

Over 25 years spanning enterprise technology, business strategy and innovation. Now pioneering sovereign AI labs that combine deep domain expertise with advanced AI engineering to make enterprise intelligence accessible, governed, cost-efficient and sustainable.

Strategic Advisors & Mentors

Professor V.G. Narayanan

Professor V.G. Narayanan

Thomas D. Casserly, Jr. Professor of Business AdministrationHarvard Business School
YUNIK AI Labs is bringing a thoughtful business perspective to enterprise AI, combining its focus on Agentnomics with governance and enterprise control. It is helping frame AI adoption around costs, benefits and operational implications, with an emphasis on measurable business value.
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Professor Dennis Campbell

Professor Dennis Campbell

Dwight P. Robinson, Jr. Professor of Business AdministrationHarvard Business School
YUNIK AI Labs is bringing specialized domain models and a sovereign approach to enterprise AI, keeping data, knowledge and controls inside the enterprise. Through Agentnomics, it is tying every AI investment to its cost, its return and the people who stay accountable for it.
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Team

Ann Boothello

Ann Boothello

Chief Strategy OfficerYUNIK AI LabsSingularity University ยท MIT Sloan: Artificial Intelligence, Implications for Business Strategy

Ann advises business leaders on business strategy, AI adoption, and organisational transformation, helping enterprises translate emerging technologies into strategic opportunities and measurable business value. Drawing on her experience across business development, emerging technologies, and entrepreneurial ecosystems, she works with executives to shape forward-looking strategies, identify new avenues for growth, and develop roadmaps that align technological innovation with business priorities.

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Nilay Khemka

Nilay Khemka

AI, ML and GenAI EngineerYUNIK AI LabsIIT Kharagpur

Nilay works on AI, machine learning and generative AI engineering at YUNIK AI Labs.

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Academic foundations

Grounded in management and control research.

YUNIK's approach draws on management-control, strategy and operating-model research developed through academia and faculty interaction.

Accounting & Management

Management-control-systems research that grounds how we measure and govern enterprise AI ROI.

Strategy

Research on agent-autonomy classification that shapes how our agents are designed and bounded.

Further advisory

Additional advisory across Accounting and Technology & Operations Management. Named faculty profiles to follow.

How we work together

People lead. Agents accelerate.

Enterprise experience guides the work and AI agents support execution. People stay accountable for decisions and outcomes.

Understand

People define business goals, domain context and constraints. Agents help organize information and surface questions.

Build and validate

People guide architecture and integration. Agents assist with implementation and checks, under human review.

Govern and improve

People keep ownership and approval. Agents operate within defined permissions and support ongoing improvement.

Why YUNIK exists

Enterprise intelligence should belong to the enterprise.

The most valuable AI systems will not be generic assistants sitting outside the organization. They will be built around your own data, knowledge, processes and operating context.

Owned

Your data, your models and your rules, always inside your walls.

Sovereign

Runs inside your own perimeter, in your region, under your controls.

Differentiated

Intelligence shaped to your business, so you compete on your own ground.

Compounding

The more it runs on your data and business flows, the more valuable it becomes.

Build intelligence that is uniquely yours.

Book a demo of a sovereign, domain-specialized AI system for your enterprise.