Ready-made solutions
When your problem matches one of these, we start from software we have already built and fit it to your data and process, so a working first version arrives sooner. They are starting points: everything else we build is under Services.
Condition scores for transformers and grid assets, with the reasons behind each score and a ranked worklist.
Daily routes that respect delivery windows, vehicle capacity and shift hours, replanned in minutes.
Generation against expected, shortfall reasons and field issues from WhatsApp.
Support, internal knowledge and lead qualification, with the source shown and a clean handover.
Setup, migration, cost reviews and serverless pipelines across the full range of AWS services.
Pipelines, data checks and dashboards that replace the weekly copy-and-paste report.
Account research and drafted emails that wait for a person to approve them, with replies tracked.
Thirty minutes with the people who would build it. We'll tell you honestly whether one of these fits, or whether something else would serve you better.
Compare in detail
The problem: oil tests, online monitoring and inspection notes for your transformers sit in different places, so it's hard to say which unit needs you next.
What it does: scores every transformer from 0 to 100 using rules your engineers can read and tune, shows exactly where the points were lost, and ranks a worklist of what to fix first.
The problem: routes are planned by hand or by habit, so trucks run half empty, drivers run over their hours, and a late order breaks the whole day.
What it does: builds daily routes that respect delivery windows, shift limits and vehicle capacity, and replans quickly when orders change.
The problem: daily generation reports are put together by hand from inverter exports and technicians' WhatsApp messages, and shortfalls go unexplained.
What it does: turns field messages and plant data into a daily report with generation against expected, the reasons for any gap, and transformer health.
The problem: the same questions reach your support team, sales team and senior staff every day, and the answers are buried in documents.
What it does: answers from your own policies, manuals and product data, shows where each answer came from, qualifies leads, and passes the conversation to a person when it should.
The problem: cloud bills keep growing, nobody is sure what each service costs, or the move to AWS keeps getting pushed back.
What it does: account and network setup, migration, cost reviews, and serverless data pipelines across AWS, using services such as Lambda, DynamoDB, S3, Step Functions and Bedrock, and more.
The problem: the numbers live in spreadsheets, exports and separate systems, and every report means a day of copying and checking.
What it does: pipelines that pull your data into one place on a schedule, checks that catch bad data early, and dashboards people trust.
The problem: researching accounts and writing good first emails takes hours, so outreach is either slow or generic.
What it does: keeps target accounts organised, drafts emails that wait in a review queue for a person to approve, sends through your own domain and tracks opens, replies and bounces. It's based on the outreach system we use ourselves.
Start with a conversation
A 30-minute call with the people who would build it. You leave knowing whether a pilot makes sense, and what it would cover.