Stop losing time to work that should already run itself.
When enquiries, documents, approvals and follow-ups still depend on manual effort, your business moves slower and costs more to operate. We build accountable AI systems that make the work faster, clearer and measurable.
Most businesses do not need more AI. They need better systems.
The technology is rarely the constraint. The process around it is.
Work is tracked in the wrong place
Decisions live in inboxes, WhatsApp threads and spreadsheets, so nobody can say where a process actually stands.
Automation is added before the process is clear
Automating an unclear process only makes it faster to reach the wrong outcome.
Nobody agreed what improvement looks like
Without a baseline there is no way to prove a system earned its cost.
A working system, not a description of one.
This is the same qualification engine we build for clients. Ask it about a property the way a buyer would. Watch what it captures, what it is unsure about, and what it hands to a person.
Niyametric enquiry desk
Recorded run · sample project, sample rulesAgreement across three fields. Not a probability that the recommendation is right.
It captures.
Budget, timeline, locality and intent, pulled from plain conversation.
It shows its work.
Every field carries where it came from and how much the sources agree.
It knows when to stop.
Below the threshold you set, the record is held for a person rather than guessed.
Want to see this run on your own enquiries?
Run this on your processThe same conversation can carry over to WhatsApp without the buyer repeating anything.
Three capabilities, combined around one outcome.
Not three services to choose between. We use whatever proportion the problem needs.
Intelligent automation
We take the waiting, the retyping and the chasing out of work that already has rules.
Software people use
Web and mobile products built around how the work is actually done, not the org chart.
AI that shows its work
Where judgment is needed, every answer carries its sources, its confidence and a named reviewer.
Define the outcome. Then build the system.
Define
Agree the outcome, the baseline and the measurement before anything is built.
Instrument
Make the current process visible and measurable exactly as it runs today.
Automate
Automate what is clear. Route what needs judgment to a named person.
Measure
Report the change against the baseline, in your own numbers.
We do not start a build until we agree what success looks like in a number you already track.
Intelligence should remain accountable.
Every recommendation our systems make shows its sources, its reasoning, its uncertainty and the person accountable for it. Automation proposes. A named person decides.
Confidence on 3 of 42 records is below the threshold you set. Those records are held, not rejected.
A small senior team. You talk to the people building it.
Niyametric is based in Navi Mumbai. We design and build the systems ourselves. There is no account layer between you and the work.
Fahad
Six years designing enterprise and AI products, including GenAI tools for a global financial analytics firm and a design system used across an AI research organisation.
Javed
Fourteen years as a telecom engineer at multinational companies, specialising in automation. At Niyametric he owns automation delivery and business development.
We are a new firm. Our proof is the system on this page and the first pilot we run with you.
Start with the outcome, not the technology.
Tell us the process that costs you the most time. We will tell you what is worth automating, what is not, and how we would measure the difference. One call, forty minutes.