AI & ML models
Custom models trained on your data: forecasting, classification, ranking, computer vision and speech. Built to a measurable target, not a demo.
- Training & fine-tuning
- Evaluation harnesses
- Inference at scale
ANDRIL LABS
We design, train and ship machine-intelligence systems: AI agents, generative models, ML platforms, data and automation tools, and the products built on top of them.
Fig. 01 · Applied-intelligence laboratory · General arrangement
Fig. 02 · General notes
An AI lab that ships
Andril Labs is an applied lab. The research matters only insofar as it reaches production, so we take responsibility for the whole path from problem statement to a system your team runs every day.
- What we build
- Systems that make a decision, generate something, or take the step themselves: AI agents that do the work rather than dashboards that describe it.
- Who we build for
- Teams with a real workload and real data: operators, product teams, and founders who need the thing to work in production, not in a notebook.
- How we engage
- Our own products, custom builds for a single business, or a short feasibility study when the right first step is finding out whether it is worth doing at all.
Fig. 03 · Schedule of works
What we build
Five disciplines, run by one team. Most engagements draw on more than one. A model is only useful once the data around it is reliable and someone can actually use it.
AI agents
Systems that do the work rather than answer questions about it: agents that act on your tools, draft and chase, flag exceptions, and reason over your own documents and data.
- Tool-using agents
- RAG pipelines
- Guardrails & evals
SaaS platforms
End-to-end products around the model: auth, billing, dashboards, admin. Shipped as a platform your customers log into, not a script your team babysits.
- Full-stack build
- Multi-tenant architecture
- Analytics & billing
Data & automation
The unglamorous half that decides whether any of it works: pipelines, scrapers, enrichment, warehousing, and the workflow automation that removes manual steps.
- ETL & warehousing
- Workflow automation
- Monitoring & alerting
R&D & consulting
Feasibility studies, architecture reviews and prototypes for teams deciding what to build, and whether AI is the right instrument at all.
- Feasibility studies
- Architecture review
- Prototypes
Not sure which of these you need?
That is a normal place to start. Describe the workload and we will tell you what is feasible, what it costs, and what we would not build.
Send a briefFig. 04 · Product record
A solution of our own
The same practice, turned on a problem we picked ourselves. Tolam is our product, where the agents, pipelines and interfaces above already run a business end to end.
BUSINESS INTELLIGENCE FOR SMEs
AI-powered business intelligence for SMEs: one system that connects sales, inventory, finance and approvals, then turns the data into decisions you can act on. An AI scan reads the last thirty days across all six and surfaces what siloed tools miss: dispatches never invoiced, hours never captured, approvals past their deadline.
- Insights
- Sales
- Inventory
- Finance
- HR
- Procurement
Fig. 05 · Method of works
How we work
Four stages, in sequence, with a decision point at the end of each. You can stop after any of them and still hold something useful.
- 01
Brief & feasibility
We start from the outcome you need and work backwards. If the problem does not need a model, we say so before anyone writes code.
- 02
Prototype
A narrow working slice against your real data, with the evaluation criteria agreed up front. Fast enough to change our minds cheaply.
- 03
Build & train
The full system (models, pipelines, interfaces and infrastructure) built to production standards with tests, evals and observability.
- 04
Deploy & operate
Shipped, monitored and maintained. Models drift and data changes, and agents act on live systems, so evals, guardrails and observability continue after launch, not just before it.
Fig. 06 · Signatories
Who signs the work
Three co-founders, three disciplines: product and technology, design and experience, business and growth. Between them, more than forty years of practice across India, Germany and Singapore.
Arun Kumar
Co-founder & CTO
Technology and product leader with over 15 years of experience spanning software, gaming and emerging technologies, including more than five years in Germany. Arun leads product architecture, engineering and applied AI, turning complex requirements into reliable systems built for production.
Janarthanan
Co-founder & CEO
Designer, creative leader and entrepreneur with over 18 years of experience, including more than five years in Singapore. Jana leads product experience, creative direction and strategic relationships, making complex systems intuitive while connecting ideas with the people and partnerships required to move them forward.
Veerakeswaran
Co-founder & COO
Entrepreneur and business builder with more than a decade of experience across digital services, technology ventures and international markets. Vee leads strategy, commercialisation and partnerships, ensuring Andril Labs' technology addresses real business problems and has a viable path from product to market.
Fig. 07 · The lab
Built in Coimbatore
Andril Labs is a small, deliberately senior team. The people who scope your project are the people who build it. There is no layer of account management between you and the engineering.
We work the way a drawing office works: state the problem precisely, agree the tolerances, then build to them. Every engagement carries an explicit definition of done and an evaluation you can check yourself, because “the AI seems better” is not a specification.
We are based in Coimbatore and work with teams across India and abroad, remotely and on site.
Andril Labs Private Limited- Founded
- 2026
- Location
- Coimbatore · Tamil Nadu · IN
- Focus
- Applied machine intelligence
- Engagements
- Fixed-scope · Retained · Advisory
Fig. 08 · Enquiries
Start a project
Tell us what you are trying to build. If it is outside what we do, we will say so and point you somewhere better.
- [email protected]
- Location
- Coimbatore, Tamil Nadu, India