AI platform · Web + mobile
Prescribe Life
Health, Care and Wellbeing
- P01Read a person's resilience from a phone, a watch and a sixty-second selfie.
- P02Build an AI coach that knows the whole person, and knows its limits.
What Asymmetri does
We solve consequential problems across intelligence,01IntelligenceSystems that think, decide and act. Models, knowledge, memory and agents engineered into one accountable layer. process,02ProcessOperations redesigned around intelligence, so work is planned, coordinated and completed with people in control. experience03ExperienceProducts people transact with, depend on and trust, on screens and in the physical world. and scale.04ScaleInfrastructure, governance and unit economics that hold up from pilot to production.
A hard problems technology company for what's next.
AI becomes valuable when it leaves the chat window and enters the operation.
- From interface to interaction, judgment and approval.
- From information to contextual, retrievable knowledge.
- From automation to agents that plan, coordinate and act.
- From experiment to governed, observable operating capability.
We do not add AI around the edges. We redesign the system around intelligence.
Intelligence is not a feature. It is a new operating layer.
02Domains
We bring this intelligence to Systems people transact with, depend on and use in the physical world.
Commerce and Finance
Marketplaces, bookings, payments, fintech, and the trust and verification layer around every transaction.
Digital Experience, Media and Growth
Brand experiences, content and media platforms, streaming and publishing, community, engagement, and the growth systems that acquire and keep users.
Health, Care and Wellbeing
Care access, monitoring, coaching, fitness and wellbeing: systems people rely on for their health.
Operations, Industry and Logistics
Manufacturing, inventory, supply chains, fleets and field operations: the software that runs physical output.
Physical and Connected Environments
Property and the built environment, mobility, IoT and wearables, and safety and emergency response.
Bring us the hard problem. Ambitious AI, tangled operations, global scale.
We frame it, engineer it and put it into production. Strategy, design and engineering in one accountable team.
Discuss a problem↗Four practices, one team01 / 04
Systems that think, decide and act on your data.
- Agent runtimes
- Multi-agent orchestration
- RAG and knowledge graphs
04Clients
Trusted with the problems others walk away from.
More than 50 founders, fast-growing teams and global brands have brought us their hard problem. A few of them, with the work to show for it.
- Reform AI
- Campus Gal
- DD Group
- Zimkey
- F+S Designs
- JM Plastics
- Kisan Saathi
- MetaShot
- Your hard
problem next ↗
05Case Studies
Hard
problems,shipped.
Each one built around the hard problems it solved: framed, designed, engineered, proved and run in production.
AI platform · Commercial planning
Komerz OS
Commerce and Finance
- P01Make an AI build a P&L without inventing a single number.
- P02Let an agent think for twenty minutes on compute that quits at fifteen.
Health platform · WhatsApp + web + doctor app
Quicli
Health, Care and Wellbeing
- P01Take a doctor's history from someone who will never download an app.
- P02Get a real doctor to answer in ten minutes, for ₹99.
Internal platform · Web app + AI agents
FinishLine
Operations, Industry and Logistics
- P01Make an app that checks every permission on every row feel instant.
- P02Let AI agents do real work, as exactly the person who sent them.
Research · Multi-agent AI
Project Protocol
AI and ML systems
- P01Make machine knowledge compound outside the model's weights.
- P02Build an experiment that can't fool its own builders.
06How we operate
Hard problems don't need a playbook. They need a system.
Invent the approach.
Every hard problem gets a first-principles answer, not a template from the last project.
Shorten the learning loop.
Prototype, measure and adjust fast, so the right answer arrives before the deadline does.
Repeat the system.
The team adapts to the domain without becoming dependent on one stack, one industry or one playbook.
From the founder, Nandagopal P
07Story
In the beginning there was balance.
And then asymmetry: Asymmetri.
In the first moments of the universe, matter and antimatter were made in almost perfect balance. For roughly every billion particles of one, there were a billion and one of the other. The rest cancelled out. That single extra particle is why there are stars, oceans and people.
A note from the founder
We named thecompany afterthat one particle.
Asymmetri was founded to answer the questions beneath the obvious ones. We take hard problems apart until what is true shows through, because a thing can be built beautifully and still fail if it ignores the truth.
Most of what the world builds is symmetrical: the familiar template, applied once more. What endures comes from one small, true insight that everyone else stepped past. Finding it takes less cleverness than attention.
That is our work. We find the asymmetric answer and engineer it into the world: intelligence that thinks, decides and acts inside the operations people depend on. One particle was enough to make a universe. One true insight, placed well, can reshape what comes next.
Nandagopal P
Founder and CEO, Asymmetri
08Vision
Intelligencethat endures,for a world that’s only beginning
Intelligence is becoming the layer the world runs on. We intend to build it awake: clear about intention, honest about consequence, and made for the whole of life it touches.
Our mission
See clearly.Build boldly.Scale wisely.
01 · The work
Engineer what lasts.
We design the AI systems, agents and products through which organisations think, decide and act, and we build them to survive contact with reality.
02 · The awareness
Build with ambition. Hold it lightly.
Every system directs human attention somewhere, so technology is never neutral. We build with clear intention, honest about consequence, and never consumed by what we make.
What we return to
- 01
Technology is the craft. Clarity is the deeper pursuit.
- 02
Every system is built twice: first in attention, then in the world.
- 03
Intelligence will soon be everywhere. Wisdom about where to point it will stay rare.
- 04
Build for the whole: the people who use it, the people who make it and the world it lands in.
- 05
The builder and the built are not separate. What we make, in time, makes us.
Asymmetri is a hard problems technology company. It engineers AI systems, agents and digital products for global brands, across four areas: intelligence, process, experience and scale. Asymmetri works through four practices: AI agentic systems and data, application development, technology consulting, and innovation and R&D.
A hard problems technology company takes on consequential problems that off-the-shelf tools cannot solve: workflows where AI has to decide and act, products people depend on every day, and systems that must work in the physical world. Asymmetri invents the approach, proves it, then makes it repeatable.
Asymmetri engineers the full AI stack as ten connected layers: AI product and interaction design, data and knowledge architecture (RAG, vector search, knowledge graphs), model and inference engineering, context and memory, agent runtimes, multi-agent orchestration, tool integrations including MCP, evaluation and observability, security and governance, and AI infrastructure economics.
Asymmetri does not add AI around the edges or stop at demos. Strategy, design and engineering stay in one accountable loop, from framing the opportunity to operating the system in production, with evaluation, governance and unit economics built in from the start.
Asymmetri is domain agnostic. The team starts from the hard problem, not the industry, and brings the same approach to any sector. Recent work spans commerce and finance; digital experience, media and growth; health, care and wellbeing; operations, industry and logistics; and physical and connected environments such as property, mobility, IoT and wearables.
Asymmetri is model-agnostic and lets the use case decide the architecture. Teams choose between OpenAI, Anthropic Claude, Google Gemini and open models served with vLLM, and build with tools such as LangGraph, the OpenAI Agents SDK, Model Context Protocol, Langfuse and Kubernetes. These are representative technologies, not a fixed stack.
Every engagement follows one loop: Frame, Design, Engineer, Prove and Operate. Asymmetri finds the valuable decision or workflow, shapes the interaction and control model, builds the intelligence and tool chain, evaluates performance, safety and cost, then deploys and improves it in the real workflow, moving from prototype to pilot to production.
Send a short note about the problem through the contact page or email hey@asymmetri.in. The first step is a framing conversation to find where AI or new technology creates real operating leverage, followed by a proposal for a prototype or pilot.