We hear the same concerns repeatedly:

• “We’ll lose control.”
  You dictate the roadmap, priorities, and standards. We work in your tools and repos. You can stop or scale at any time.
• “We’ll expose our secret sauce.”
  Everything is under your NDA, hosted in your environment, with access controls you define. We document and hand over continuously.
• “We don’t want external IP entanglements.”
  You own 100% of the IP—code, schematics, data models, test rigs, deployment scripts. We’re paid for time and outcomes, not ownership.
• “Onboarding takes too long.”
  We’ve spent almost 20 years in energy. From protocols to market dynamics, we arrive already fluent.

1) Embedded Engineers (staff-plus, without the headaches)

We place one or more engineers directly into your team so they operate like your own employees.

• Roles we embed: hardware & electronics, firmware/embedded, data modeling & analytics, backend, frontend, DevOps/IoT, QA/validation.
• How it works: you manage day-to-day priorities; we follow your ceremonies (standups, sprint planning, reviews).
• Scale: add or remove capacity quickly. If you want to expand, we handle the recruitment lift for you.
• Own the stack: code is committed to your repos; builds, CI/CD, and artifacts live in your cloud.
• Great for: accelerating an in-flight roadmap, filling specialist skill gaps, and building internal capability without long hiring cycles.

2) Pilot or Project Delivery (we drive; you steer)

Give us a clearly defined outcome and we’ll deliver it end-to-end.

• Examples: proof-of-value systems, new device prototypes, data pipelines, control algorithms, market participation tooling, edge-to-cloud MVPs.
• How it works: we agree on scope, milestones, and success criteria; we run execution and report continuously.
• Handover: production-grade documentation, tests, and runbooks. You keep everything and can run it independently.

• Hardware & devices: board design, sensor/actuator selection, power and comms, EMC considerations, enclosure and environmental constraints.
• Firmware & edge compute: real-time control, telemetry, OTA updates, security hardening.
• Data & software: domain-fit data models, pipelines, APIs, UIs, forecasting & optimization, market & asset orchestration.
• Protocols & standards: e.g., Modbus, OPC UA, IEC series, MQTT/IoT, utility/market integrations.
• Deployment: lab to field, test rigs, calibration, commissioning, CI/CD for edge and cloud.

We don’t need to be trained on how energy actually works—we already live there.

• Your control: roadmaps, branches, environments, and approvals live under your accounts.
• Your IP: assignment baked into the contract. All deliverables are yours—no strings attached.
• Your security: we prefer to work in your cloud tenancy and VCS; least-privilege access; auditable processes.
• Your visibility: weekly demos, clear burn-up/burn-down, and open backlogs.

• Time-to-impact: we start contributing immediately while you continue hiring on your timeline.
• Specialist coverage: our bench spans hardware through data science—no single hire can cover that breadth.
• Lower risk: scale up or down without long commitments; swap skills as needs change.
• No training tax: we track what’s actually working in energy tech and bring those patterns on day one.

If you do want to hire, we’ll help you define roles, interview, and onboard—so your internal team grows with the right DNA.

• Engineers who speak both grid & code.
• A bias for field-ready solutions (testable, supportable, deployable).
• Working software/hardware, not slideware.
• Documentation that survives handover: architecture, BOMs, test plans, ops runbooks.
• Measured progress: short feedback loops and visible, shippable increments.

• Embedded boost: add an edge/firmware engineer to unblock device integration, or a data engineer to harden pipelines feeding forecasting/dispatch.
• Focused pilot: stand up a production-like slice (device → gateway → cloud → UI) to prove value with real assets and real data.
• Modernization: replace brittle spreadsheets/cron with maintainable services and observability.
• Scale-up: take a working prototype to manufacturable hardware and secure cloud operations.

• Planning: agree on outcomes, constraints, and “done” definitions.
• Tooling: use your Jira/Azure DevOps/GitHub/GitLab; your CI/CD and cloud accounts.
• Quality: test strategy from the start—unit, HIL, integration, and field validation.
• Documentation: living docs committed alongside code; nothing trapped in private drives.
• Handover: structured knowledge transfer so your team can run independently.

We’ve applied this approach across asset operators, OEMs, and market participants—taking concepts into the real world, safely and fast. The common thread: clear ownership, tight feedback loops, and real-world constraints from day one.

1. Start small. Pick a contained pilot or insert one engineer for a defined period.
2. Keep everything in your house. Your repos, your cloud, your SLAs.
3. Inspect weekly. Demos, metrics, and operating docs—no black boxes.
4. Scale only if it’s working. If not, you’ve learned fast with minimal risk.

Energy is where we live—hardware to cloud, models to markets. If you want a partner who’s as comfortable on a bench with an oscilloscope as in a code review, who treats your IP like it’s sacred, and who measures success by what’s running in the field, we should talk.

Drop us a note with the outcome you want. We’ll suggest an embedded augmentation or a focused pilot that gets you there—on your terms, with your control, and your IP.