AI application development for renewable energy
We build practical AI applications and provide secure, managed IT for renewable-energy teams—from sales and proposals to site analysis and daily operations.
Built around your workflow · Human oversight · Secure integration and ongoing support
Our core product
AI applications and the systems behind them
Renewable-energy teams need AI that does real work. We build applications around the jobs the business needs done, then connect the data, systems, security, and human decisions behind them. The result is a working application—not another AI subscription.
Purpose-built applications
The software follows your workflow, users, data, and commercial goal.
From sale to operation
Applications can sell, quote, analyse, calculate, and coordinate work.
Human control
Important decisions remain visible, owned, and reviewable.
Managed after launch
We support, secure, measure, and improve the live application.
What we do
AI application development is our primary product. Managed IT, cybersecurity, and resilience provide the dependable foundation required to run those applications in daily renewable-energy operations.
Purpose-built applications that help renewable-energy teams sell, create offers, analyse data, calculate scenarios, and automate operations.
02Microsoft 365, Google Workspace, users, devices, onboarding, licensing, backups, and day-to-day help with one clear owner.
03Protect accounts, email, devices, and data with practical baselines, staff awareness, vulnerability reviews, and an incident plan people can follow.
04Turn policies, backups, suppliers, and responsibilities into tested recovery steps and evidence your team can show when it matters.
Where we build — AI applications
We do more than give teams access to AI tools. We design and build applications around the jobs a renewable-energy business needs done—from the first enquiry to the final offer and ongoing analysis.
Where we protect — cybersecurity
Protect the applications, accounts, devices, email, and data your team uses every day, with clear priorities and fixes people can actually maintain.
Case studies
One format, six complete examples. See the starting point, the work delivered, the practical change, and the evidence or limits before deciding what to test next.
Case study · Solar operations
A practical workflow for turning location, roof, and opportunity information into a clearer proposal starting point for a human sales conversation.
Remova Tech delivery example
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Case study · Lead operations
A lead-qualification workflow built around clear questions, useful handoffs, and human judgement at the right point in the solar sales process.
Remova Tech delivery example
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Case study · Solar proposal automation
Solaris Renewables connected design, proposal, financing, and contract work in one platform. Aurora Solar reports faster proposals, higher close rates, and doubled project throughput.
Independent, source-backed solar case study
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Case study · AI solar design & site analysis
Michigan Solar Solutions used AI-assisted modelling and automated simulations in its solar design and sales process. Aurora Solar reports faster design, high proposal accuracy, and stronger storage sales.
Independent, source-backed solar case study
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Case study · AI customer support
Deye built a multilingual AI customer-service system for renewable-energy equipment deployed across more than 110 countries and regions. AWS reports 24/7 service, automated resolution, and higher agent efficiency.
Independent, source-backed renewable-energy case study
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Case study · Solar-grid operations
i GRID LAB built a cloud platform that predicts surplus solar generation and creates control scenarios for batteries, electric vehicles, and other distributed energy resources.
Independent, source-backed renewable-energy case study
Read case studyStart here
A strong first engagement does not need a large programme name. It needs a clear owner, a real workflow, and a result that the team can recognise. You might begin with a managed IT review because new starters wait for access. You might begin with a security baseline because nobody is certain which accounts, devices, or backups are protected. You might begin with an AI opportunity review because a sales or operations team is repeating the same preparation every day.
We connect those choices when that is useful. A workflow automation pilot needs dependable identity, permissions, data, and support. A resilience exercise may reveal a manual handoff that an application could improve. A managed support conversation may uncover a safe, measurable AI use case. The homepage is therefore a starting point, not a list of disconnected products.
Bring the situation in your own words. Tell us who is affected, what the current path looks like, what has already been attempted, and what would make the next month easier. We will help you decide whether the next step is a short review, a defined delivery scope, or simply a better internal decision about what not to automate yet.
Create clear ownership for users, devices, workspaces, and the recurring questions that interrupt delivery.
Reduce repetitive preparation, route exceptions, and give people a more reliable view of what needs attention.
Test a narrow use case with data boundaries, human review, and a decision about whether expansion is justified.
Talk to us
Tell us what is slow, risky, repetitive, or difficult to support. We will help you choose a sensible first step.
01 A short reply from a person, not an automated sales sequence.
02 No need to know which service or platform you need.
03 We will tell you if the first move is smaller than a project.
Knowledge Hub
Managed IT
Managed IT should make work calmer and clearer. Here is what to expect around ownership, onboarding, recurring issues, and improvement.
Read article
Cybersecurity
A sensible first review of accounts, devices, data, backups, staff habits, and incident response—without making security harder to manage.
Read article
AI solar applications
See how one purpose-built application can analyse a roof, calculate system and pricing scenarios, and prepare the customer offer while the team stays in control.
See the applicationA straightforward first conversation
No hard sell and no need to choose a service first. Tell us where work is slow, risky, repetitive, or difficult to support.
PB
Your enquiry reaches the people responsible for delivery—not a sales queue.