Nine services, mapped to the energy value chain.

The client problem

Smart-meter, SCADA and plant data is arriving faster than anyone can use it, and AI pilots multiply across circles, plants and fields without reaching production. There is no shared view of which use cases pay back, or who owns them.

Outcomes

• A maturity baseline across 12 capability layers and five stages, scored on evidence rather than opinion
• A prioritised roadmap from loss reduction to integrity and emissions, with a business case for each
• An AI operating model that works across circles, plants, fields and contractors

What we do

• Data & AI maturity assessment
• AI strategy & use-case prioritisation
• Loss-reduction and value-creation business cases
• AI operating model & centre of excellence design

Typical engagements

• AssessmentMaturity assessment and roadmap
• Pilot · 30-45 daysProve the top-ranked use case on your data
• BuildRoadmap delivered through our Build and Transform services
• Managed runValue tracking and roadmap refresh

Delivered with

The client problem

Tariff petitions, true-ups, reform-scheme milestones and ESG disclosures ask for numbers that reconcile to the meter and the plant. Consumer data now falls under the DPDP Act, and AI adds a new layer to govern.

Outcomes

• A governed data marketplace where teams discover, request and subscribe to data products, with approvals
• Critical data elements with owners, lineage and data-quality controls for regulatory filings
• Consumer-data consent and protection aligned to the DPDP Act
• AI and agent governance: policy, approvals, evaluation and a kill switch

What we do

• Data marketplace: catalog, glossary, subscriptions & approvals
• Data contracts, ownership & access policy for every data product
• Regulatory-filing data lineage (CERC / SERC)
• Consumer-data privacy (DPDP Act) & ESG / BRSR Core lineage
• AI & agent governance

Typical engagements

• AssessmentGovernance and lineage gap review against filings
• Pilot · 30-45 daysCatalogue, lineage and DQ for one filing or disclosure
• BuildCDO function, metadata repository and controls
• Managed runOngoing DQ monitoring and stewardship

Delivered with

The client problem

Power is bought and sold in fifteen-minute blocks across DAM, RTM, TAM, green segments, RECs, bilateral contracts and now derivatives, while market coupling and deviation-settlement reform change the rules. Desks bid off spreadsheets and forecasts they don’t fully trust, find DSM exposure after the fact and reconcile settlements by hand.

Outcomes

• Load, price and RE forecasts published as data products the desk trusts by gate closure
• DAM / RTM bids and portfolio positions drafted with the evidence; a trader submits every one
• DSM exposure watched through the day, and settlements reconciled daily with every break explained

What we do

• Price & load forecasting for DAM and RTM
• Bid preparation, optimisation & portfolio balancing
• DSM exposure minimisation & imbalance watch
• Green DAM, REC & VPPA strategy; derivatives hedging analytics
• Market-coupling readiness
• Settlement & reconciliation

Typical engagements

• AssessmentTrading-desk data and decision diagnostic
• Pilot · 30-45 daysForecasts, bid drafts and DSM watch for one portfolio
• BuildTrading data products, desk cockpit and agents
• Managed runForecast and settlement squads under SLA

Delivered with

The client problem

AT&C losses, estimated bills, theft and slow collections decide whether a discom is viable. Smart prepaid metering under RDSS creates the data to fix it, but feeder, meter, billing and payment systems don't yet speak to each other.

Outcomes

• Energy accounting from feeder and distribution transformer to consumer
• Theft and tamper cases prioritised for vigilance teams with the evidence attached
• Billing, collection and subsidy reconciled daily, with disputes triaged

What we do

• Feeder- and DT-level energy accounting
• Theft, tamper and meter-health analytics
• Smart prepaid metering (RDSS): data validation, balance alerts & estimated-bill reduction
• Collection efficiency, arrears & payment / subsidy reconciliation
• Consumer complaint & dispute triage

Typical engagements

• AssessmentAT&C loss and revenue-protection diagnostic
• Pilot · 30-45 daysEnergy accounting and theft scoring for one circle or division
• BuildRevenue-protection platform rolled out across circles
• Managed runLoss analytics and vigilance squads under SLA

Delivered with

The client problem

Solar and wind make every fifteen-minute block harder to forecast and schedule; forecast errors become deviation charges, and grid events, loading and asset condition sit in separate systems.

Outcomes

• Plant-level generation forecasts the scheduling desk can trace
• Scheduling options that reduce deviation exposure
• Grid events, loading and asset health on one timeline

What we do

• Solar and wind forecasting by plant, pooling station and block
• Scheduling to SLDC / RLDC and deviation analytics
• Plant performance: availability, PLF and curtailment
• Thermal heat-rate and auxiliary-consumption analytics
• Congestion and outage root-cause analysis
• Green open-access and REC tracking

Typical engagements

• AssessmentForecasting, scheduling and grid-data review
• Pilot · 30-45 daysForecasts for a set of plants against actual schedules
• BuildForecasting and grid analytics platform
• Managed runModel operations and retraining under SLA

Delivered with

The client problem

Pipelines, plants, gas networks and heavy-industry assets carry safety-critical risk, yet surveys are captured on paper, designs checked by hand, and asset knowledge locked in maintenance systems and documents.

Outcomes

• Field integrity data clean at source, with anomalies flagged at capture
• Maintenance and engineering knowledge answerable by voice, in more than one language
• Plants, kilns and emissions on one view, from the furnace to the board

What we do

• Asset intelligence over maintenance systems & documents
• Offline pipeline-integrity survey capture
• AI review of piping isometric drawings
• Predictive and risk-based maintenance
• Heavy-industry plant and emissions analytics

Typical engagements

• AssessmentIntegrity, maintenance and plant-data diagnostic
• Pilot · 30-45 daysAsset assistant or field collector on one asset group
• BuildIntegrity and plant platforms across sites
• Managed runModel and app operations under SLA

Delivered with