Energy

Fleet management, EV charging, grid operations, climate tech

Building in energy?

Energy and climate-tech companies run systems that have to work at scale, in real time, often under regulatory oversight. Fleet electrification, EV charging infrastructure, grid operations. The technical bar is high and the consequences of failure are physical.

Common challenges

Real-time data from distributed physical assets

Integration with utilities, grid operators, and charging hardware

Scaling across geographies and regulatory environments

Operational reliability for critical infrastructure

Outcomes

Real-time visibility across distributed assets without polling lag or silent failures

Data infrastructure that scales as the fleet does, without a re-architecture project every 18 months

Regulatory compliance built into the architecture, not layered on before an audit

What we've done

EV charging management and OCPP integrations

Fleet and asset management platforms

Real-time data ingestion and processing

Monitoring, alerting, and operational dashboards

Compliance architecture for SOC 2 and ISO 27001 requirements

Services

Engineering Leadership

Senior technical leadership embedded with your team to align product, architecture, and delivery.

AI Integration

Most teams find the real problems after the pilot: token costs that outrun the value, context that degrades output quality as sessions grow, model choices that made sense in a demo but not at volume, and data privacy constraints that limit what can go to which provider. We build the infrastructure that makes AI reliable, cost-controlled, and compliant before those problems surface in production.

Workflow Automation

Map the manual overhead in your operations and build systems that reduce it. Whether that is a customer-facing product, an internal workflow tool, or a backend process that currently requires too much human intervention, we build it with reliability, security, and compliance as first-class concerns.

Data Infrastructure

Reliable data ingestion, transformations, and interfaces that power operations and decision-making, including LLM-based enrichment and cleaning with evaluation sets to verify accuracy.