Clean technology engineering

Software and systems for solar, wind, storage, water and smart grid

Sequoia teams help clean tech companies design and build embedded software, IoT connectivity, cloud platforms and AI supported analytics for renewable energy, water and infrastructure systems that must work every day in the field.

Clean tech engineering illustration with connected renewable assets

Clean tech systems run on software as much as hardware

Solar plants, wind farms, storage units, water networks and smart grid equipment depend on many layers that must work together.Wind farms, solar arrays, battery storage, water systems and grid infrastructure all run on software, firmware and connectivity working in concert.From rooftop solar to grid-scale storage, clean tech assets share a common need: multiple software layers, all of them reliable at once. Boards and firmware in the field, device to cloud communication in difficult locations, data stores that hold years of sensor history and simple tools for operators and service teams. Sequoia focuses on these layers so that clean tech teams can ship and keep shipping.

Areas where we help clean tech teams

Solar systems

Plant, string and inverter monitoring, field data collection and dashboards for rooftop and utility scale assets.

Wind and utility assets

Turbine and substation telemetry, fault logs and simple views for operations and maintenance teams.

Storage and hybrid sites

Battery data pipelines, remote checks on packs and charge discharge analytics that support safe operation.

Water and environment

Flow, pressure, leakage and quality sensing systems with cloud reporting and alerts for operators.

Engineering capabilities that cross solar, wind, storage and water

Embedded and device software

Board bring up for common controller families, device drivers and control logic, power aware firmware for outdoor and remote locations, and clear state handling for safety related events.

We are used to working with field hardware that runs in heat, dust and noise, and we design with recovery paths in mind.Field deployments are not lab conditions. Our engineers design for the temperatures, interference and connectivity gaps that real sites actually produce.Hardware in the field ages, gets hot and sometimes loses its connection. We factor that in from the start rather than treating it as an edge case.

IoT connectivity and data pipelines

Secure device to cloud communication, protocol handling for industrial and energy related interfaces, buffering and retry logic for poor networks and simple tools for remote updates and diagnostics.

Our teams focus on making sure that the data you see in the cloud matches what really happens at the edge as closely as possible.

Cloud platforms and operator tools

Asset registries, device management views, real time and historical dashboards, alert rules, worklists and reporting functions that support daily decisions by operations, service and management teams.

We build with long term maintenance in mind so that features can grow as your fleet grows.Code written with maintainability in mind ages better. That becomes obvious when a fleet doubles or a new device type joins the mix.When a fleet scales, platforms written for the long run are far less painful to extend than those that were built just to meet the first launch.

AI supported insights

Practical analytics that work with actual field data. Examples include anomaly detection for sensors and equipment, basic forecasting for production or consumption and simple models that help maintenance teams focus on higher risk assets first.

We are careful to keep human operators in control and use AI where it improves existing decisions.

Renewable energy focus across solar and wind

Solar plants and rooftop sites

Support for ingestion of inverter and string data through common protocols and vendor specific registers, storage of granular production data and clear visualisation of plant health for owners and operators.

We help teams build tools that highlight drops in generation, possible sensor drift and consistent differences between strings or inverters.

Wind turbines and utility assets

Collection of turbine sensor values such as wind speed, rotor speed, nacelle orientation and temperature, as well as event and fault logs that matter to operations.

We work on software and data layers that can support simple predictive maintenance views and give field teams better context before they visit a site.

Grid connected infrastructure

Data handling and software for assets such as transformers, feeders and connected loads, along with interfaces for system operators and integrators who already have established control systems.

Our focus is to integrate cleanly into your existing control or SCADA approach and extend it with modern cloud tooling where it is useful.

Storage and hybrid systems that stay observable

Battery and storage visibility

Building data paths for pack and system level values such as voltage, current, state of charge, state of health and temperature, along with event logs and alarms that matter for safe operation.

We help teams see long term patterns in charge and discharge that affect lifetime and warranty and we surface simple checks that show if limits are respected.

Hybrid plant operation

Software support for sites that combine solar, wind and storage and that need a clear picture of power flow and asset status in one place.

We do not replace your control strategy. Instead we focus on reliable data layers, cloud tools and field applications that make that strategy easier to operate and support.

Water and environmental systems

Network and plant monitoring

Integration of sensors for flow, pressure, level, leakage and quality with device software and cloud services that can run in real deployments, not just lab trials.

We help operators see clear maps and trend views of their networks and plants so that they can take action faster when something drifts from normal.

Reporting and compliance support

Data models and exports that give municipalities, industries and service providers records they can actually use for reporting and internal review.

Our role is to make it simpler to answer basic questions about performance and incidents with evidence from your systems.

How Sequoia works with clean tech product teams

Product mindset and long term view

We usually engage as a small, stable team that stays with a product for a long time.Rather than cycling engineers through a project, we keep a consistent small team across the product's life.Our teams tend to stay with a product well past the first release, which means they carry context that does not need to be rebuilt each time. Our engineers are used to iterating with product and field feedback instead of one time delivery.

This helps when your roadmap includes new devices, new protocols and new markets and you want a partner who grows with that roadmap.

Stabilising and extending existing platforms

Many teams come to us with platforms that already exist but need better reliability, observability and a path to new features.

We focus first on making the current system stable and clear to operate and then move feature development onto that stronger base.

If you need a partner who understands embedded software, IoT and cloud, you can also look at our work in IoT, Embedded, AI and ML and Digital Transformation.

Talk to our clean tech engineering team

Share a short note about your solar, wind, storage, water or infrastructure project. We can walk through where software and data are blocking progress and plan a practical first step.

Book a working session