Energy

Fleet, EV charging, grid ops, climate tech

Building in energy?

How engagements start here

Scale, real time, often under regulatory oversight. Fleet electrification, charging, and grid ops, where failure has physical consequences and operational data has to move safely.

Common challenges

Real-time data from distributed assets

Utility, grid, and charging hardware integration

Scale across geographies and regulators

Reliability for critical infrastructure

Security when analytics and automation touch operational data

Outcomes

Real-time visibility without polling lag or silent failures

Data infrastructure that scales with the fleet

A telemetry data path your security team and partners can defend

Compliance built into the architecture, not bolted on for audit

Capability areas

EV charging and OCPP integrations

Fleet and asset platforms

Real-time ingestion and processing

Monitoring, alerting, operational dashboards

Edge processing when data has to stay on-site or on-network

SOC 2 and ISO 27001 architecture

Engagements

AI Workflow Optimization

AI is already in production. Costs are climbing, performance is uneven, or one frontier model is doing every job. I audit the workflow, run evals task by task, and hand back a system that costs less and holds up better. You keep the eval suite.

AI & Automation Readiness

You want to automate, but data is scattered, systems don't talk, or AI shipped with no harness. You need clean accessible data, addressable systems, guardrails around anything stochastic, and a data path security can stand behind.

Operational Automation

An expensive process in back office, ops, or analyst work that people keep saying should be automated. I map it with the people who run it, measure what it costs today, and decide what should be fully automated, what needs a human in the loop, and what shouldn't be built at all. When we do build, it's with guardrails, and with a data path that can run at the edge when records can't leave your environment.