Trinetrakrti — Brain Behind AI
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What we build

Data Science

Most businesses sit on more data than they use. We turn yours into clear answers — dashboards that surface what matters, and models that predict, classify and recommend so decisions stop being guesswork.

A reporting dashboard with charts open on a laptopEvidence, not guesswork
insights.yourbusiness.com
12.4k0.94
What's included

Everything you need, end to end.

Data pipelines, cleaning and warehousing
Dashboards and reporting that update themselves
Predictive and classification models
Forecasting, segmentation and recommendation engines
How it comes together

Most businesses sit on more data than they use. We turn yours into answers someone can act on this week.

Photography here illustrates the settings this work runs in. The interfaces shown are representative — yours is designed around your brand and your data.

Three-dimensional charts and analytics elements
Nightly
Refresh
0
Manual exports
Reporting

Dashboards that answer questions

Self-updating reporting that surfaces trends, cohorts and outliers — so the Monday meeting starts from the same numbers instead of four different spreadsheets.

Hands typing beneath a screen of time-series charts
Forecast accuracy0.91
Drift monitoringDaily
Models

Models in production, not notebooks

Forecasting, churn scoring, segmentation and recommendations deployed behind real pipelines and monitored for drift — because a model nobody can call is just a slide.

A researcher running samples in a laboratory
pipelines/etl.py
ingest(source, schema)
validate(nulls, ranges)
dedupe(on=entity_id)
load(warehouse)
Foundations

Clean inputs before clever maths

Pipelines, validation and warehousing first. Most failed data projects fail here — we fix the plumbing so everything built on top of it can be trusted.

Not sure data science is what you need?

Tell us the problem in plain language. If something simpler solves it, we'll say so — that call is free either way.

Our work

Shipped, live, and yours to inspect.

Real systems we built in this space. Every one of them is online right now — open them.

Typical engagements

What people come to us for.

Demand forecasting

A model predicting weekly demand so a retailer could stock smarter and cut both stockouts and waste.

Churn prediction

Scored accounts by churn risk and fed the list to the success team before customers slipped away.

One conversation away

Tell us the problem. We'll tell you what to build.

Thirty minutes, no deck needed. You'll leave knowing the fix and roughly what it takes — whether or not you build it with us.

Chat with us