Cog Cloud

Data science & AI consulting

Your data already knows.
We build the thing that acts on it.

Cog Cloud Consulting takes messy business data and turns it into models, dashboards and AI assistants that run every day — not slide decks that sit in a folder.

Python · SQL · AWS · Azure Remote across India Fixed-scope pilots

What we build

Six things we get asked for most

Most work starts with one of these and grows. You can hire us for a single piece or the whole chain.

Foundations

Data pipelines and warehousing

Pull data out of the tools you already use, clean it, and land it somewhere a person or a model can actually query.

Visibility

Analytics and dashboards

The numbers your team argues about, in one place, refreshed on schedule, with definitions everyone agrees on.

Prediction

Machine learning models

Churn, demand, credit risk, lead scoring, maintenance windows. Trained on your history, scored against a baseline.

Generative AI

Assistants and document AI

Chat over your own documents, contract and invoice extraction, drafting tools — with retrieval, guardrails and evaluation.

Vision

Image and video models

Quality inspection, counting, OCR on scans and forms. Useful when the data arrives as pictures rather than rows.

Operations

MLOps and deployment

Getting a notebook into production: APIs, scheduling, monitoring, retraining, and an alert when accuracy drifts.

How we work

Small, sequenced, and reversible

Every engagement runs in the same order, so you can stop after any stage and still keep something that works.

01

Scope

We look at your data and the decision you want to improve, then write down what success would measure.

1–2 weeks
02

Prototype

A working version on real data, benchmarked against how you do it today. If it does not beat the baseline, we say so.

2–4 weeks
03

Productionise

Pipelines, deployment, access control and documentation, in your cloud account under your ownership.

4–8 weeks
04

Operate

Monitoring, retraining and changes as your data shifts — or a handover so your own team runs it.

Ongoing

Engagements

Three ways to start

Data audit

Fixed scope · 2 weeks

  • Review of your data sources and quality
  • Shortlist of use cases ranked by effort and payoff
  • Architecture recommendation
  • Written report and walkthrough
Ask about an audit

Pilot project

Fixed price · 4–8 weeks

  • One use case, taken from data to working model
  • Measured against your current process
  • Deployed in your cloud account
  • Code and documentation handed over
Scope a pilot

Embedded team

Monthly retainer

  • Data and ML engineering capacity on call
  • Model monitoring and retraining
  • Roadmap and reviews with your team
  • Training for your in-house engineers
Discuss a retainer

Tools we work in

PythonSQLPyTorch scikit-learnSparkdbt AirflowAWSAzure SnowflakePower BIDocker LangChainVector databases

Start here

Tell us the decision you want to get better at

Send a short note about your data and what you are trying to predict, automate or understand. We will reply with whether we can help, and what the first step would cost.

Based in
Hyderabad, India — working remotely with clients anywhere
Response
Within one working day

Or write to hello@cogcloudconsulting.com