ENERGY & UTILITIES // ENTERPRISE SOLUTIONS

Predict grid asset failure and optimize generation dispatch economics with physics-informed AI.

Navigate renewable volatility, volatile spot electricity markets, and aging grid infrastructure. Model transformer degradation, forecast wind/solar output, and automate wholesale trading decisions.

+14%
TRADING GROSS MARGIN
Algorithmic generation dispatch timing
-45%
UNPLANNED OUTAGES
Physics-informed transformer telemetry
98.2%
DAY-AHEAD ACCURACY
Renewable solar & wind output forecasting
100%
NERC CIP COMPLIANT
Air-gapped on-premise inference options
SECTOR DIAGNOSTIC

Schedule a 30-Min Briefing

Speak directly with our Energy & Utilities power systems engineering and algorithmic trading leads.

Confidential operational assessment • NDA protected
SUPPORTED PLATFORM ARCHITECTURE & NATIVE INTEGRATIONS
GE Vernova Grid
Siemens Energy
Schneider Electric
Snowflake Utility Analytics
Databricks Energy AI
Apache Kafka SCADA
ClickHouse Time-Series
THE BOTTLENECK

The Operational Reality in Modern Power Utilities

OPERATIONAL ROOT CAUSE:
Grid operators face an unprecedented influx of intermittent renewable sources alongside aging sub-station assets. Manual asset inspection cycles cannot predict thermal breakdown in high-voltage transformers before catastrophic failure causes multi-county blackouts.

The Seven Billion Solution: We build physics-informed neural networks that model thermodynamics and dissolved gas analysis (DGA) in transformers while optimizing battery storage dispatch against day-ahead and real-time wholesale LMP pricing.

OPERATIONAL METRICLEGACY STATESEVEN BILLION IMPACT
Renewable Generation ForecastHourly standard regression5-min hyper-local physics AI
Transformer Health InspectionAnnual manual oil samplingContinuous online DGA sensing
Battery Storage Dispatch OptimizationRule-based time-of-useReal-time stochastic solver
CORE PROPRIETARY ACCELERATOR • FLAGSHIP PRODUCT OFFERING

Power Asset Risk & Insurance Underwriting Accelerator

""How do energy operators price extreme weather risk and protect massive infrastructure from catastrophic failure?""

Underwriting massive energy infrastructure—like offshore wind farms and gas turbines—takes traditional teams months of manual engineering inspections and backward-looking actuarial tables that fail in extreme climate events. This accelerator combines real-time physical sensor data with 10,000 Monte Carlo storm simulations. It calculates 100-year Probable Maximum Loss in milliseconds, allowing underwriters and risk officers to price risk and bind terms with total statistical confidence.

What is a Seven Billion Accelerator?
80% PRE-ENGINEERED • ZERO SCRATCH BUILDS

Instead of a 12-to-18-month custom software build, an Accelerator is an 80% pre-engineered, production-ready software engine. It connects directly into your existing enterprise software (SAP, Oracle, Epic, Rockwell) without rip-and-replace, automating high-stakes operational choices in under 30 days.

1
Plugs Into Your ERP
Secure API connectors ingest live orders, sensors & records.
2
Solves in Seconds
Mathematical algorithms calculate the highest-ROI decision.
3
Executes Immediate Action
Outputs locked schedules, approved filings, or recovered cash.
Energy Risk Underwriting Accelerator UI Preview
Tap to zoom architecture
10,000-path Monte Carlo hurricane & grid outage simulation for technical bound rate pricing
DEPLOYABLE IN < 30 DAYS
Ready to deploy the Power Asset Risk & Insurance Underwriting Accelerator?
Request technical specifications, schema requirements, and qualify for our 30-day production pilot.
Physics-Informed Asset Health
Combine thermodynamic equations with sensor streams to predict remaining useful life of high-voltage assets.
Wholesale LMP Spot Arbitrage
Automate battery energy storage charge and discharge cycles against 5-minute locational marginal pricing.
Grid Congestion Forecasting
Simulate transmission line thermal limits and curtailment risk across regional interconnect nodes.
COMPLEMENTARY DECISION ENGINES FOR ENERGY & UTILITIES
Additional production-tested solvers configured for this vertical
Complex Claims Triage Engine
INSURANCE WORKBENCH
"Which catastrophic asset damage claims require immediate engineer dispatch vs automated clearing?"
Financial Close Reconciliation
ENERGY ACCELERATOR
"How do we reconcile energy market settlements across RTOs and ISOs without variance?"
ZERO RIP-AND-REPLACE

Compatible with your existing systems of record

We connect non-invasively via secure APIs and feature stores, leaving your core transactional systems undisturbed.

ENTERPRISE CORE
SAP S/4HANA
CLOUD INFRASTRUCTURE
AWS / Azure Cloud
ANALYTICS & LAKEHOUSE
Snowflake / Databricks
DATA STREAMING
Apache Kafka
TECHNICAL ARCHITECTURE & PROTOCOLS

Frequently Asked Questions About Our Accelerators

Everything you need to know about security, ERP connectivity, algorithms, and our 30-day pilot deployment.

SPEC 01How does this accelerator connect to our existing enterprise systems without rip-and-replace?
−
Seven Billion accelerators deploy non-invasively through bi-directional REST, GraphQL, and event-driven Kafka pipelines. We connect directly into your transactional layers (SAP S/4HANA, Siemens Opcenter, Oracle, Epic, Rockwell) without altering core database schemas or interrupting ongoing shifts.
SPEC 02What is the structured 30-day pilot deployment timeline?
+
SPEC 03Who owns the algorithmic IP, custom models, and trained mathematical weights?
+
SPEC 04Can this accelerator run inside our own single-tenant VPC or sovereign cloud?
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VERIFIED CLIENT IMPACT // National Power & Utility Group
"Seven Billion's physics-informed asset models predicted a critical substation transformer failure three weeks before our standard testing would have caught it, saving over $8M in outage damages."
— Director of Grid Modernization, National Power & Utility Group
$14.2M saved in avoided blackout penalties and asset replacement costs
EXECUTIVE RESEARCH BENCHMARK

2026 Industry Trends in AI & Advanced Analytics

Download our comprehensive 42-page cross-vertical research report examining 140+ enterprise deployments, ROI benchmarks, and technology architectures across Energy & Utilities.

• 42 Pages (PDF)• Financial Payback Models• 100% Free Access
30-DAY OPERATIONAL DIAGNOSTIC

Prove the financial ROI in your ENERGY & UTILITIES operations

We model your actual data and constraints in a focused 4-week engagement before any enterprise roll-out.

Explore Client Case Studies

The lowest-risk way to find out if AI is right for your business.

Phase 0 is a two-week discovery that tells you exactly which problems AI can solve, what it will take to build, and what it will cost. No obligation beyond it.

ABOUT Seven Billion

Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production. Founded in 2020. Offices in Boston, USA and Bengaluru, India.

OFFICE

Boston, USA
Bengaluru, India