The fault is on feeder 12. The person who knew feeder 12 retired in March.
A crew is standing in the rain at a substation built in 1987, flipping through a binder while 4,200 customers sit dark.
The answer exists in diagrams, switching procedures, and old field notes. It is just not findable at 3 AM. This page is about making forty years of field knowledge answer in nine seconds.
21 years · 300+ clients in 28 countries · NPS 75 · AWS Premier Partner · Anthropic Partner
Demand is climbing. Assets are aging. And the knowledge is walking out the door.
Energy is squeezed from three directions: electrification and data centers driving load growth, aging grid and generation assets, and a workforce cliff.
The gap between what your organization knows and what your people can find is the Context Tax. In energy, it is paid in outage minutes, deferred maintenance, and compliance risk.
Of the utility workforce projected to retire within the decade, taking decades of undocumented field knowledge with them.
Source: US DOE / industry workforce studies
Typical time for a field technician to hunt down a single procedure across manuals, drives, and calls.
Source: Sphere production deployment data
Annual savings Sphere's automation delivers for one oil and gas back-office operation.
Source: PetroLedger engagement
The turn isn't a pilot. It's putting institutional knowledge on the grid.
Most energy companies have run an AI pilot by now. Most pilots died in the demo.
The difference between a demo and a system crews trust at 3 AM is the data engineering, retrieval architecture, and governance underneath.
Ten solutions. Rated for production load.
For investor-owned and municipal utilities, solar and wind operators, and oil and gas, each ships as a working system on your data, in your stack, governed from day one.
Know Everything
Field Technician Knowledge Assistant (KnowledgeAI)
Equipment manuals, one-line diagrams, switching procedures, O&M records, and field fixes answered in seconds with sources cited.
Fix It First
Predictive Maintenance & Asset Health
Models on sensor, inspection, and work-order history flag failing transformers, inverters, and rotating equipment before they fail you.
See the Load
Load & Generation Forecasting
Demand, solar, and wind forecasting that accounts for weather, behind-the-meter shifts, and the data-center load curve historical models didn't see coming.
Restore Faster
Outage & Storm-Response Intelligence
AI fuses outage data, crew locations, asset records, and procedures so restoration decisions happen in minutes.
Stay Compliant
Regulatory & Compliance Document Intelligence
NERC, FERC, state commission, and interconnection paperwork extracted and drafted with citations traceable.
Run the Books
Agentic AI for Energy Back Office
Agents reconcile billing, process revenue accounting, chase document exceptions, and close the books faster while humans approve.
Optimize O&M
Solar & Wind O&M Optimization
Underperformance detection, truck-roll reduction, warranty claim automation, and fleet-tuned knowledge systems.
Trade Smarter
Energy Market & Trading Analytics
Price, congestion, and demand signal analysis that turns market data into positions your risk team can defend.
Serve Ratepayers
Customer Service & Billing AI
Support that resolves billing questions, outage status, and program enrollment with human-grade understanding.
Build the Base
Energy Data Platform Engineering
Pipelines unifying SCADA, GIS, CIS, ERP, and document stores into one decision-grade data layer.
Every Sphere service, rated for energy.
Strategy, engineering, and governance under one roof, applied to the systems that keep the lights on.
Sphere AI Foundry
Flagship · End-to-end
From use case to production in staged sprints. Foundry is how the first production AI use case ships in 8-12 weeks, gated on measured ROI.
ExploreKnowledgeAI & RAG
AI & Data
Retrieval-augmented AI over operating documents, policies, procedures, and source systems. Institutional memory that answers with citations.
ExploreAgentic AI
AI & Data
Autonomous workflows for back-office exceptions, document-heavy tasks, reconciliation, and operational handoffs, with human approval gates where they matter.
ExploreData Intelligence
AI & Data
Pipelines and models that turn SCADA, GIS, CIS, and ERP exhaust into one decision-grade layer, the prerequisite every failed pilot skipped.
ExploreAI Strategy & Roadmap
Advisory
A prioritized, ROI-sequenced AI roadmap in weeks: which use case first, what it needs, what it returns, and what will block it.
ExploreAI Governance & FinOps
Governance
Cost control, accuracy monitoring, access policy, and audit trails for every model in production.
ExploreSystems Integration & NetSuite
Sphere specialty
NetSuite implementations and integrations, operational workflows, and the ERP connectivity that makes AI usable in the real business.
ExplorePlatform Reboot & AI Product Engineering
Software & Modernization
Legacy platforms modernized without stopping the business; new customer- and crew-facing products built AI-native from day one.
ExploreProof, not pilots.
Oil & gas back office
The $1.2 million that stopped leaking
PetroLedger was drowning in document-heavy processes, reconciliation, and exception chasing. Sphere engineered automation across core workflows.
$1.2M saved per year · recurring annual savings
Read the storyField knowledge, answered
The 45-minute question that now takes 9 seconds
The AI Technician Knowledge Assistant pattern, proven across 35,000+ technical documents, now deploys for utility field crews, solar and wind O&M, and plant operations.
60x faster resolution · cited answers in seconds
See KnowledgeAIDocument-heavy operations
Six hours of paperwork, done in seven minutes
A document workflow that consumed six hours per case became a seven-minute process. The same pattern maps to interconnection agreements, regulatory filings, warranty claims, and land records.
6 hours to 7 minutes · 50x reduction
Read the storyAI a utility can put in front of a commission.
In this industry, a wrong answer is not an inconvenience. It is a safety event, a compliance finding, or a rate-case problem.
Every Sphere energy deployment runs on SphereIQ: answers grounded in approved documents with sources cited, role-based access down to the crew level, audit trails, and FinOps controls.
Pick your entry point. Each one ends in a shipped system.
Step 01 · Free
AI Readiness Scorecard
15 questions, 10 minutes. A scored view of data, systems, knowledge risk, and use-case fit.
$0 · 10 minutes
StartStep 02 · Fixed scope
AI Spend Diagnostic
A fixed-fee teardown of where AI will save or make you money, with a prioritized roadmap.
$8,500 · 2 weeks
Book diagnosticStep 03 · Build
Sphere AI Foundry
Your first production energy AI use case, shipped in 8-12 weeks. Staged, measured, governed.
First win · 8-12 weeks
Explore FoundryStraight answers.
What AI solutions does Sphere build for energy and utility companies?+-
Field-technician knowledge assistants, predictive maintenance, load and generation forecasting, outage intelligence, regulatory document automation, agentic back-office AI, solar and wind O&M optimization, and the data platforms underneath. Our automation program for PetroLedger, an oil and gas accounting provider, saves approximately $1.2M per year.
How does this help with our retirement / knowledge-loss problem?+-
We capture institutional knowledge: manuals, procedures, diagrams, and the tribal fixes veterans carry in their heads, into a governed, source-citing system any technician can query in plain language. In production, a question that took 45 minutes of searching is answered in about 9 seconds.
How long until we have something in production?+-
8-12 weeks for a first use case through Sphere AI Foundry, for example a knowledge assistant over one region's O&M documentation or a predictive maintenance pilot on one asset class. Rollouts run in staged quarters, gated on measured ROI.
Do you work with solar and wind operators, or just traditional utilities?+-
Both, plus oil and gas. For renewable operators, EPC and O&M, we build generation forecasting, cross-site underperformance detection, warranty claim automation, and field knowledge systems for distributed fleets.
How do you keep the AI from giving a crew a dangerous answer?+-
Every deployment runs on SphereIQ: answers are grounded strictly in your approved documents with sources cited, access is role-based, every interaction is auditable, and if the answer isn't in your data, the system says so instead of guessing.
Book an Energy AI Consult
Bring one field, grid, or back-office workflow. We will map the use case, data, controls, and first production milestone.
Tell us the question your field team, back office, or control room can't answer fast enough. We'll show you — on your documents and your data — how it gets answered in nine seconds.