An initiative supported by the Government of Karnataka at IIIT-Bangalore

PILLAR 02 / AI LIVING LAB

Where ideas meet

the real world.

A collaborative pathway to develop, test and validate AI systems for Karnataka’s priority sectors.

RESEARCH → TEST → DEPLOY

Make AI work

where it matters.

The proposed Living Lab connects researchers, developers, industry and government around practical AI challenges. Resource access and collaborations are subject to review and approval.

01

SLM & LLM innovation

Explore compact, domain-specific and multilingual models, fine-tuning, model optimisation and inference.

02

Generative AI applications

Connect retrieval-augmented generation, conversational AI, agents and workflow automation to practical needs.

03

Evaluation & testbeds

Develop proofs of concept, evaluate model quality and plan validation in real-world environments.

04

Research collaboration

Shape joint R&D opportunities, faculty collaboration, publications, intellectual property and technology transfer.

Computing laboratory at IIIT-Bangalore
IIIT-Bangalore building signage

ON CAMPUS AT IIIT-BANGALORE

Research depth.

Real-world testbeds.

The Living Lab draws on IIIT-Bangalore’s research centres, laboratories and faculty to help teams move from a question to a tested result.

  • Domain-specific and multilingual model exploration
  • Evaluation protocols, benchmarks and risk checks
  • Pathways from proof of concept to pilot

RESPONSIBLE BY DESIGN

Useful AI.

Trusted foundations.

Responsible AI is a thread through research, experimentation and deployment.

01

Privacy & security

Work with authorised data, appropriate safeguards and defined access.

02

Evaluation & transparency

Assess quality, limitations, bias and explainability for the intended use.

03

Real-world validation

Define testing protocols, risk checks and success measures before a pilot.

SIX PRIORITY SECTORS

Real challenges.

Meaningful possibilities.

Explore where AI can make a difference. Six domains. A shared focus on practical, responsible applications.

Clinical knowledge. Better workflows.

Explore AI for healthcare documentation, knowledge assistance, medical imaging and administrative support.

Discuss a use case →

Learning that meets every learner.

Explore personalised learning support, multilingual content, AI tutors and assessment assistance.

Discuss a use case →

Intelligence for financial inclusion.

Explore financial literacy, fraud detection, operational productivity and responsible financial information services.

Discuss a use case →

Build better. Work smarter.

Explore developer copilots, software testing, enterprise AI agents and intelligent support workflows.

Discuss a use case →

Intelligence on the factory floor.

Explore predictive maintenance, visual inspection, operational knowledge and process optimisation.

Discuss a use case →

AI in service of public value.

Explore citizen services, multilingual public information, digital public infrastructure and safe digital systems.

Discuss a use case →

COLLABORATE WITH THE LAB

Bring a question.

Explore a solution.

Start with a clearly defined challenge and the impact you want to create.

Propose a research collaboration

Describe your research question, relevant sector, team expertise and intended outcomes. Include any evaluation or data-access needs in your enquiry.

Explore compute and tools

The plan includes compute, development environments, APIs and model experimentation. Availability, allocation, terms and access approvals must be confirmed with the Hub.

Submit an industry or public-sector use case

Outline the operational problem, intended users, available authorised data and the measures you would use to evaluate a successful pilot.

Explore datasets and evaluation

Discuss authorised domain datasets, benchmarks, model evaluation and testing protocols with the Hub team.

BECOME PART OF THE ECOSYSTEM

Turn a real challenge into an AI possibility.

Connect research expertise with domain knowledge and responsible experimentation.