DATA INTELLIGENCE

Your data knows more than
your dashboards show.

From raw operational data to decision-ready intelligence. ML models, predictive analytics, and BI systems that surface what matters — before you know to ask.

Start your POC → See case studies
vSense · forecast
cluster A · 412
cluster B · 287
cluster C · 193
Q4 projection · +18.4%
p90 interval

The Problem

Data rich.
Insight poor.

Most enterprises sit on years of operational data — production logs, transaction records, sensor readings, maintenance histories. Dashboards show what happened. Nobody's sure why, or what's about to happen next.

Generic BI tools show the past. Off-the-shelf ML platforms require data science teams you don't have. The gap between data and decision keeps widening.

Reactive decisions
You find out about problems when they've already become costs. Predictive intelligence closes the gap.
Siloed data
ERP, CRM, IoT sensors, spreadsheets — each in a different system, none talking. Intelligence requires integration.
No internal ML capability
Building a data science team takes years. We bring the capability without the headcount.

What We Build

Six capabilities.
Your data, unified.

CAPABILITY 01
BI Dashboards
Custom dashboards on your data sources. Real-time, interactive, role-based access.
CAPABILITY 02
Predictive Analytics
ML models on your historical data — forecast demand, predict failures, flag anomalies.
CAPABILITY 03
ML Enablement
We build, train, deploy on your infrastructure — classification, regression, clustering, time-series.
CAPABILITY 04
Data Warehouse & Lakes
Design and build the infrastructure — unified, clean, queryable data at scale.
CAPABILITY 05
Anomaly Detection
Continuous monitoring of operational metrics. Deviations trigger alerts before incidents.
CAPABILITY 06
Natural Language Analytics
Ask questions of your data in plain language. No SQL required.

Under the Hood

From audit
to monitoring.

STEP 01
Audit & Integrate
We map your data sources — databases, APIs, files, sensors. Quality issues identified before a single model is written.
STEP 02
Engineer
Data pipelines built to clean, transform, unify. Foundational work that makes everything else reliable.
STEP 03
Model
Models trained on your data. Algorithm selection based on specific task — not what is currently fashionable.
STEP 04
Deploy & Monitor
Models run on your infrastructure. Drift monitored continuously. Retraining triggers automated.

Use Cases

Deployed across sectors.
Delivering daily.

Manufacturing & Energy
Predictive Maintenance
Sensor telemetry at 1M+ events/hour. Anomaly detection spots degradation patterns weeks before failure.
Zero unplanned downtimeOutcome
Financial Services
Portfolio & Risk Intelligence
Multi-source market, transaction, customer data unified into a single intelligence layer.
3× faster reviewOutcome
Government & PSU
Procurement Spend Analytics
Tender and purchase data aggregated across departments. Spending patterns, vendor risk surfaced.
Complete visibilityOutcome
1M+
Events ingested per hour in production
3×
Faster decision-making with prediction
Zero
Unplanned downtime on ML-monitored systems

Turn your data into
your sharpest competitive edge.

POC in 7 days on your actual data sources.

Book a Data Intelligence POC →