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The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Industry · 08

Energy & Utilities

Forecasting under volatility. Asset health across the grid. Outage response that pre-positions before the call.

Load forecastAsset healthOutage AITrading desks

Energy operations run on forecasting and asset health — both increasingly hard under renewables and volatility. We build the models that forecast load and generation, watch the grid's assets, and pre-position for outages.

Engineered for the data volumes and reliability the sector demands, deployed where operations require.

SectorUtilities, power, oil & gas, renewables
ScaleGrid- and asset-scale data
DeploysOn-prem / cloud / edge
Entry6-week pilot
01 — What we deploy

Forecasting and asset health under volatility.

/ 01

Load & generation forecasting

Forecasts under renewable volatility and demand swings.

/ 02

Asset health

Condition monitoring and failure prediction across the grid.

/ 03

Outage response

Pre-positioning and response intelligence before the call.

/ 04

Trading support

Analytics for energy desks under fast-moving markets.

/ 05

Field operations

Resilient tools for crews in the field.

/ 06

Anomaly detection

Stream analytics on grid and plant telemetry.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We target forecasting or asset health where the operational payoff is clearest.

STEP 02

Pilot

Built on your telemetry and history, validated against actuals.

STEP 03

Production

Integrated with your operational systems, deployed where reliability demands.

STEP 04

Operate

Monitoring and retraining as conditions and assets change.

03 — Where it pays

Use cases.

Load forecastAsset healthOutage AITrading desksField ops
04 — Engineering

Stack & standards.

Data
SCADA / telemetry
Time-series store
Weather / market feeds
AI
Forecasting
Asset-health models
Anomaly detection
Ops
Dashboards
Edge resilience
Retraining loop
05 — Outcomes

What good looks like.

Sharper
Forecasts
Under volatility, not just averages.
Healthier
Assets
Failures predicted across the grid.
Faster
Outage response
Pre-positioned before the call.
06 — Questions

Answers, before you ask.

Can you handle renewable volatility?
Yes — our forecasting models are built for the volatility renewables introduce, blending telemetry, weather, and market signals.
Where does it run?
Where reliability demands — on-prem, cloud, or edge, with resilience to connectivity loss in the field.
Best starting point?
Load/generation forecasting or asset-health monitoring usually deliver the clearest operational payoff first.
Ready when you are

Let's talk about Energy & Utilities.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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