Six things we build. One way we work.
Every service below starts with a free feasibility note and a fixed-price two-week pilot on your real data, and ends with a system you own: the code, the weights and the documentation. Pick the problem; we will tell you if it is the right tool.
Chapter 1 · Synthesize
Synthetic data generation
Privacy-safe tabular, text and image data that keeps the statistics of your real data and none of the identities.
Chapter 2 · Ground
Private-data AI agents
Assistants that answer from your documents, databases and tickets — on your infrastructure or in your cloud, with sources shown.
Chapter 3 · Build
Custom AI/ML solutions
From a two-week feasibility study to a production model with monitoring, for problems off-the-shelf tools do not solve.
Chapter 4 · Tune
LLM fine-tuning and evaluation
Smaller models tuned to your domain, with an evaluation set that tells you when they are right and when they are not.
Chapter 5 · Predict
Computer vision and forecasting
Demand forecasts, document extraction and visual quality checks — classic ML where it beats a language model.
Chapter 6 · Operate
AI marketing automation
Content, SEO/GEO and analytics agents that run a growth programme — the system behind seoclock.in and 021 Digital.
Not sure which one?
Most first conversations start with "we have this data and this problem". That is enough. The feasibility note maps it to one of the six, or tells you none of them is the right tool yet and what to collect first.
Where we work
Bengaluru, with clients across India and remote elsewhere. Work runs in your cloud account (Indian regions when residency matters), on your servers, or on an isolated machine in our lab for pilots.
Tell us the problem, not the model.
A 30-minute call and a one-page feasibility note, free. If a two-week pilot makes sense, we scope it with a fixed price. If it does not, we say so.