Industry · Energy & Utilities
For field operations, grid and asset management, and regulatory reporting.
We build the operational software and applied AI that energy and utility businesses run on — field-service and work-management tools, asset and grid-management applications, outage and telemetry analytics, and regulatory-reporting pipelines that have to be right every time.
Built in your own cloud, integrated with your systems of record, assigned to you in full.
On top of the operational systems you run
The problem
Why energy and utility software is hard to get right.
The work is unforgiving in ways generic enterprise software isn't. A scheduling bug strands a crew; a telemetry pipeline that drops messages hides a developing fault; a reporting error in front of a regulator is a finding, not a ticket. The operational systems carry safety, reliability, and compliance weight at once — and they have to keep running while the grid does.
On top of that, the data is messy and physical. SCADA, AMI/smart-meter streams, GIS, historian, and work-management systems each speak their own format and rarely line up cleanly; field conditions are intermittent; assets outlive three generations of the software meant to track them.
Most teams aren't short on data — they're short on the engineering that turns it into something operators, planners, and compliance staff can act on, reliably enough to trust when it matters.
fewer customers affected by outages where utilities deployed self-healing FLISR automation — the reliability stake the software carries.
of grid investment could be deferred to 2050 by digital grid technologies — the prize behind getting this right.
U.S. DOE SGIG · IEA, 2023 ↗
What we build
What we build for energy and utilities — and what each one delivers.
The specific applications we engineer for the sector. For each: what it does, the benefit, and a one-line illustration — illustrative of the technology's effect, not Silicon Prime client results.
Field operations & work management
Schedules and routes crews against live work orders and asset locations, with an offline-capable mobile view that syncs on reconnect.
Benefit — more jobs per crew, less windshield time, accurate field records.
Example: an inspection and a nearby emergency repair share one trip — and the closeout is captured on-site, not re-keyed that night.
Asset & grid management
Tracks transformers, feeders, meters, and generation assets across their lifecycle, turning sensor and inspection data into a prioritized maintenance plan.
Benefit — fewer unplanned failures, capital spent where it reduces risk.
Example: a transformer trending toward failure is serviced on a planned window, not failing on a peak afternoon — outage, overtime, and emergency replacement all avoided.
Outage & telemetry analytics
Ingests SCADA, smart-meter, and sensor telemetry to detect and locate outages, feeding the operators and systems that coordinate restoration.
Benefit — faster fault location and shorter restoration, moving the indices regulators watch (SAIDI/SAIFI/CAIDI).
Example: a fault is located to a line segment from meter "last-gasp" signals in seconds, not after customer calls — the crew is sent to the right span first time.
Regulatory & compliance reporting
Assembles the recurring filings the business owes — reliability metrics, emissions, rate-case and commission reporting — from source systems, with validation and a full audit trail behind every number.
Benefit — accurate, repeatable, and defensible, with far less manual assembly.
Example: a monthly reliability report is generated from validated source data, every figure traceable to its origin, not stitched together in spreadsheets the week it's due.
Customer & account operations
Powers billing-adjacent workflows, usage and rate-plan questions, and outage communications — including assistants grounded in the customer's own account and outage data.
Benefit — lower contact volume on routine questions, clearer communication during events.
Example: a customer asking "why is my bill higher this month?" gets a grounded, usage-specific answer instead of a call queue — and storm updates go out from the same outage data operators see.
"We build the operational software and applied AI — integrated with your systems of record, not the field hardware or metering devices themselves."
See the full scope →The measured impact
What this software does to energy operations.
Independent, third-party findings — cited as industry evidence of the opportunity, not Silicon Prime client results.
Lower maintenance cost
from predictive maintenance — plus up to 50% less unplanned downtime. The case for condition-based asset management.
McKinsey ↗
Fewer customer-minutes lost
of interruption — up to 55% fewer customers affected — with self-healing FLISR automation.
U.S. DOE SGIG, 2022 ↗
Grid investment deferrable
to 2050 by digital grid technologies that improve maintenance and extend asset life.
IEA, 2023 ↗
Fewer human-serviced contacts
potential from generative AI across utilities — for billing, usage, and outage-communication workloads.
McKinsey, 2023 ↗
A bad release here has operational consequences. So we don't ship them.
Least-privilege access, segmentation, and auditable controls by default; staged rollouts — shadow, then pilot, then wide — with production monitoring. The same evals-before-release, monitor-after discipline that held a 200+ location operation at twice-a-week releases with zero critical defects across four years.
The scope
What energy and utilities software development covers.
Where the safety, reliability, and compliance weight actually lives — and why generic delivery doesn't survive contact with this sector.
Data integration across operational systems
We connect SCADA, AMI, GIS, historian, ERP, and work-management systems into pipelines that decode each format, validate it, and keep it flowing — the energy-specific application of our telemetry and data-engineering practice.
Field & work-management applications
Crew scheduling, routing, mobile work execution, and asset-data capture built to work in the field — offline-tolerant, fast, and accurate when connectivity is intermittent.
Asset, grid & outage intelligence
Condition monitoring, risk and maintenance prioritization, and outage detection and location — applied machine learning on your own operational data, every model output explainable to the operator who acts on it.
Regulatory & compliance reporting
Reporting pipelines that assemble required filings from validated source data, with the audit trail, lineage, and repeatability that hold up in front of a commission or auditor.
Security & reliability engineering
Energy systems are critical infrastructure. We build to least-privilege access, segmentation, and auditable controls by default, and ship behind staged rollouts with monitoring — a bad release here has operational consequences.
Custom operational software
Where off-the-shelf doesn't fit the regulatory or operational reality, we build the custom software that does — in your stack, owned by you.
What you get — all assigned to you under full work-for-hire IP transfer
How it runs
One accountable lead, fixed scope, no handoffs.
The same delivery model behind all our work, tuned for a regulated, operations-critical environment. Most engagements reach production in 4–8 weeks, full IP assignment signed at kickoff.
Discover
Scope the operational problem, the systems of record, the field and compliance constraints, and the metric we'll be judged on.
Output: a ranked plan & the success measures we own
Design
Design the data integration, the validation and audit approach, and (where models are involved) the evaluation set built from your real operational data.
Output: an architecture & the test plan it has to pass
Build
Develop in your own cloud tenant, wired to your systems through governed access, with validation, auditability, and security built in rather than bolted on.
Output: a working system behind your access controls
Deploy & enable
Staged rollout — shadow, then pilot, then wide — the target metric measured against baseline, your team trained to operate it.
Output: a production system & a team that owns it
The track record
Honest about the fit — and accountable for the work.
We'll be direct: energy and utilities is not where Silicon Prime has its deepest public case studies, and we won't pretend otherwise or attach someone else's logo to imply experience we don't have.
What we bring is a 15-year engineering record, a delivery discipline built for software-critical operations, and a founder personally accountable for the engagement — judged on the engineering and the accountability, not a borrowed logo.
The closest analog in our work is adjacent, and we label it as exactly that: we run software-critical operations for BJ's Restaurants, a 200+ location business, at twice-a-week releases with zero critical defects across four years — a reliability analog, not an energy result.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran. We scope honestly and decline work that isn't a fit.
BJ's Restaurants
A 200+ location operation held at twice-a-week releases with zero critical defects across four years — an adjacent reliability analog, labeled as exactly that. The discipline a critical-infrastructure system demands.
Sensor-data engineering
Twelve-plus years building pipelines that ingest, validate, and act on streaming sensor and telemetry data on a live platform, never offline — the same engineering SCADA/AMI integration demands.
Why build it with us.
Integration is the job, and it's our core strength. Most of an energy build is decoding SCADA, AMI, GIS, and historian feeds and keeping them flowing reliably — the energy-specific application of our telemetry and data-engineering practice.
Critical-infrastructure discipline by default. Least-privilege access, audit lineage, staged rollouts, and production monitoring — because a bad release here strands a crew or hides a fault, not just files a ticket.
Honest about the fit, founder-accountable. We don't have a public energy logo and we won't borrow one — we scope honestly, decline work that isn't a fit, and the person who scopes your project answers for it.
Built to transfer. Code, pipelines, models, and reporting logic are assigned to you under full work-for-hire IP assignment, and your team is trained to run and extend the system.
Where this connects
Energy software rarely stands alone.
It rests on the same engineering we bring to neighboring work.
IoT & telemetry development
The edge-to-cloud pipelines that decode SCADA, AMI, and sensor feeds and keep them flowing reliably.
IoT development →Data & analytics engineering
The validated foundation outage, asset, and reporting analytics run on — so decisions rest on data you trust.
Data engineering →Cybersecurity services
The least-privilege access, segmentation, and auditable controls critical infrastructure demands by default.
Cybersecurity →Questions buyers ask before they build.
Do you have direct experience in energy and utilities?+
What kinds of energy and utility software do you build?+
Can you integrate with our SCADA, smart-meter, GIS, and historian systems?+
How do you handle the security and compliance weight of critical infrastructure?+
How do you make sure an outage or asset model can be trusted by operators?+
Who owns the software when you're done?+
What does it cost and how long does it take?+
Thirty minutes · No pitch deck
Ready to build energy software that holds up in the field?
Bring the operational problem — field work, asset and grid management, outage analytics, or regulatory reporting — and we'll tell you honestly what it takes to build, where the integration work really is, and what it costs to run.