APPLIED RESEARCH AT INDRIYA
What does AI need to work in your world?
You need an answer that fits the context, a workflow that handles exceptions, and guidance you can put to use. What gets in the way?
Our applied research spans knowledge-grounded AI, reliable workflows, learning and human guidance, and perception-aware assistance. We investigate what it takes to make these capabilities useful in your context.
FOUR CONNECTED AREAS
Find the questions
that matter to your work.
What must a system understand, make visible and adapt for someone to use it well? Each area explores a different part of that question.
KNOWLEDGE & REASONING IN CONTEXT
Which answer should
you put your trust in?
Explore how sources, conflicting information and uncertainty shape a decision. Relevant to team knowledge, professional analysis and learning.
Explore knowledge research
RELIABLE AI WORKFLOWS
What happens when
the usual process breaks?
Explore exceptions, oversight and recovery in AI-assisted work. Relevant to business operations, enterprise teams and product builders.
Explore workflow research
LEARNING & HUMAN GUIDANCE
Can you use what
you just understood?
Explore guidance that helps people explain, practise and apply an idea. Relevant to grades 6–12 education, professional learning and training.
Explore learning research
PERCEPTION & ASSISTIVE SYSTEMS
The world changes.
Can the assistance adapt?
Explore the relationship between signals, surroundings and individual needs. Relevant to hearing, wearables and assistive technology.
Explore perception researchRESEARCH AND YOUR WORK
What would you like
to make possible?
Start with your situation. The relevant research may sit across more than one area.
FOR BUSINESS OWNERS
Make the know-how
less dependent on who is in the room.
Perhaps a client handover means chasing three people, or the same report has to be checked from scratch every week. Knowledge and workflow research can help frame what to capture, what to automate and where your judgment still matters.
A useful starting point is one recurring task, the material it needs and the time your team spends correcting it. Explore an example first, then discuss whether a focused investigation fits.
FOR ENTERPRISE TEAMS
Move from a convincing pilot
to an informed deployment decision.
The question is not only whether AI completes a task. It is whether it uses permitted information, recognizes an exception, preserves approval boundaries and gives your team enough evidence to act.
Explore a bounded research question around source-grounded work, human oversight or evaluation. Integration, security requirements, ownership and operational support would be scoped together.
FOR EDUCATORS
Keep the objective.
Make the support fit the learner.
A lesson needs to fit the class, not just the curriculum topic. Explore how the time available and support for reasoning change a Grade 7 lesson, then examine what a teacher still needs to check.
Teacher Copilot is available as a downloadable toolkit for grades 6–12. Our wider research asks how source checking, recall and feedback can help people understand and use what they learn.
FOR RESEARCHERS
Bring a question
we can test together.
How do we distinguish a helpful explanation from one that merely feels convincing? What does a correction reveal? Which measures capture useful assistance outside a controlled setting?
Each research page sets out specific questions and possible evaluation approaches, with related reading and clear evidence boundaries. We welcome domain expertise and collaboration on tasks, methods and interpretation.
FOR AI INVESTORS
Examine what the research
could make repeatable.
Our thesis is that useful AI products need more than a capable model: they need domain context, evidence people can inspect and feedback that changes the work. We explore these needs across products and applied research.
Assess the available toolkit, learning prototype and earlier explorations separately. The company overview and brief identify their current stages; a briefing is the place to discuss the business, technical progress and what evidence still needs to be built.
HOW THE WORK CONNECTS
See what connects.
Examine what is different.
A teacher checking an explanation and a founder interpreting an interview both need to separate evidence from assumption. An assistive system must also consider signals, individual needs and changing surroundings.
We look for methods that can carry across settings—source checking, explicit uncertainty, useful correction—while evaluating each application on its own terms. A result in one setting is not proof that another will work.
Explore our approach ↗EXAMINE THE WORK
Start with something
you can explore.
Worked examples and prototypes make the questions concrete. They are starting points for investigation, not reports of completed studies.
Adapt one lesson to your class.
See what changes, what stays fixed, and what the teacher checks.
↗KNOWLEDGE · PROTOTYPECheck an explanation against its evidence.
Inspect a recorded response using selected sample sources.
↗FOUNDER DECISIONS · EXERCISEWhat would change your mind?
Prepare a conversation that distinguishes interest from buying evidence.
↗WORK WITH INDRIYA
Bring the task.
Let’s examine the hard part.
A first conversation should establish the problem, what existing tools already solve and where further investigation could help. If there is a fit, we can scope the task, permitted materials and evidence needed to decide what comes next.
Discuss your research question