AI & Machine Learning Deployments for Industry
AI-ML Engineering for Industry

Applied AI and machine learning for industrial operations

SERRAO Analytics provides AI & Machine Learning implementations across private and public sector organisations. We build and deploy production-grade systems across power and electricity, industrial safety, and other organisations.

Deployed, not theoreticalProduction systems running in live operations
Engineering heritageA CPC Analytics company since 2014
On-premise where it mattersData stays inside your perimeter
Who we are

The AI-ML division of a data-science and policy firm

CPC Analytics is a German-Indian data-science and policy firm, established in 2014, with offices in Pune and Berlin. SERRAO Analytics is its engineering division for applied artificial intelligence.

We take machine learning out of the notebook and into operations — computer vision on live camera feeds, anomaly detection on utility data, and bespoke models built around a client's own systems and constraints.

About SERRAO Analytics & CPC Analytics
Data analytics operations
Practice areas

Three areas of deployment

One engineering team, applying the same rigour across very different operating environments.

01 · Computer Vision

Safety Monitoring

Industrial computer vision on existing CCTV — PPE compliance, fire and smoke, vehicle safety and restricted-area monitoring, in real time.

Explore Safety Monitoring
02 · Utility Analytics

Power & Electricity

AI-ML for electricity distribution — energy-theft and revenue protection, tariff intelligence, smart-metering analytics and utility data pipelines.

Explore Power & Electricity
03 · Bespoke ML

Custom Deployments

Bespoke AI-ML for problems outside standard products — workflow automation, text analytics and data engineering.

Explore Custom Deployments
How we work

From problem to deployed system

Step 01

Scope

We map the operational problem, the available data and cameras, and the constraints that matter — on-premise, latency, governance.

Step 02

Build

Models and pipelines are engineered for your environment, not configured from a generic template.

Step 03

Deploy

Systems run where the work happens — on-premise, at the edge, or in a governed cloud account.

Step 04

Measure

Every deployment is judged on provable outcomes, with logging, dashboards and audit-ready reporting.

2014
Engineering heritage as a CPC Analytics company
3
Practice areas — safety, power, custom
~98%
Helmet-detection accuracy in a safety pilot
On-prem
Deployment where data cannot leave the perimeter
Case study

Deployed on real operations

Real-time PPE compliance monitoring
Steel & Metals · Safety Monitoring

Real-time PPE compliance from existing CCTV

Problem
Manual PPE checks could not cover the full floor across shifts; violations went unrecorded.
Solution
Computer-vision models on existing camera feeds flagged violations in real time, with a snapshot to supervisors.
~98%Helmet-detection accuracy
~87%Violations caught in pilot
View all case studies
Our clientele

Organisations we work with

Selected clients across private industry, utilities, government and multilateral institutions.

Grasim
Tata BlueScope Steel
Tamil Nadu Power Generation Corporation
Climate Collective Foundation
Goa Electronics Limited
World Health Organization

Discuss an AI-ML deployment

Tell us about your operation and we'll scope what machine learning can deliver — in safety, in the power sector, or as a custom build.