AI Research
Applied research into LLMs, AI agents, multimodal and healthcare AI. We experiment with emerging capabilities and turn the promising ones into working technology.
01 — What we do
Three ways we put AI to work.
Our own AI products
We design, build and run AI products end to end, from health intelligence to emotional wellbeing, and learn from real users every day.
AI for your business
We find where AI creates measurable value in your business, then design and build it: agents, assistants, knowledge systems and automation.
02 — How we work
A loop, not a pipeline.
What we learn from every deployment feeds straight back into our research and products. That's why we don't just advise on AI. We build it and run it.
- 01ResearchExplore emerging AI capabilities.
- 02ExperimentPrototype fast and measure honestly.
- 03BuildEngineer production-grade systems.
- 04DeployShip to real users and businesses.
- 05LearnFeed results back into research.
03 — Products
AI products we've built and run.
Arogya Story
LiveHealthcare AI
A patient-owned health record platform. Upload blood test reports and get AI-powered analysis in plain language. OCR and LLM pipelines turn unstructured medical documents into structured health data, insights and trends, with each family member's records kept separate.
Try it →TeddyBuddy
LiveEmotional wellbeing · GenAI
A safe, private space to process emotions, reflect on experiences and find clarity through thoughtful AI conversations. Built around LLM-driven conversational workflows with AI safety mechanisms, on web and mobile.
Try it →04 — For businesses
From idea to production AI.
We work directly with your team to find where AI creates measurable value, then design, build and deploy it on your systems.
- AI agents and assistants
- RAG and enterprise knowledge systems
- Business process and workflow automation
- LLM-powered applications and integrations
- AI search, recommendations and decision support
- Adding AI to your existing products
- DiscoverWe map your workflows and data and pick the opportunities with real ROI.
- PrototypeWe build a working proof of concept in weeks, not quarters.
- ProductionWe harden, evaluate and deploy it securely, with monitoring.
- ImproveWe measure the impact and keep improving the system.
05 — Research focus
Where we're exploring.
LLMs & Generative AIAI agents & autonomous systemsMultimodal AIHealthcare AIRAG & knowledge systemsAI safety & evaluationResponsible & trustworthy AIAI infrastructure
We care most about AI systems where accuracy, data integrity, safety and user trust matter, because that's where AI has to be right.
06 — Team
The people building it.
Anoop Ashok Goudar
CEO
Software engineer and AI product builder with 12+ years shipping production software at Atlassian, Sberbank and Walmart. Built and launched Arogya Story and TeddyBuddy end to end. Pursuing an MSc in AI Applications and Innovation at Imperial College London.
LinkedIn →Roopa B S
Founder
Data scientist who built production ML pipelines for classification and anomaly detection on large-scale security telemetry at Cisco and McAfee, plus a RAG system for semantic search over unstructured data. Data Science graduate student at Arizona State University.
LinkedIn →07 — Contact
Let's build something intelligent.
Tell us what you're working on, whether it's an AI idea, a workflow to automate or a product to make smarter. We reply within two business days.