We build the software your business runs on.
Custom systems engineered for production — with AI applied where it does real work, not where it looks good in a deck.
Founded in 2016 by Bazil Rana and Haider Ali. Still run by both, still on every project.
- 100+
- on the team
- 240
- projects delivered
- 6
- countries
Four things, done properly.
Four systems already doing the work.
Most companies describe AI in the abstract. Here is what ours does, named, in software that runs every day.
Rate confirmation parsing
FleetChartReads freight rate confirmations from any broker and extracts rate, lane, dates and accessorial terms into structured fields. Broker formats vary, which is what defeats a rules-based parser.
Read the case studyProperty valuation modelling
NigraanAnalyzes historical transaction patterns to predict what a property should be priced at, putting senior dealers' reasoning in reach of every agent in a firm.
Read the case studyAutonomous vendor ordering
McGrocerTurns an incoming customer order into the corresponding stock order with UK vendors automatically, with inventory analysis behind it. The business ships to more than 120 countries.
Read the case studyResume tailoring
SeeweeRewrites a candidate's real experience against a specific job posting, so per-application tailoring becomes practical rather than aspirational.
Read the case study
Every system we ship is measured against a baseline before it goes live. How we evaluate AI
Software we built and still run.
What working with us actually looks like.
Every firm says it has a process. This is ours with the names attached, because you are hiring people, not a methodology.
- Bazil Rana
It starts with a conversation, not a quote
Bazil and one of our business analysts get on a call with you. What you are trying to fix, what is worth building, which AI capabilities would earn their place in your system — and which would not. If we think you should not build something, we say so on that call.
You leave with a scope worth pricing, in writing.
- Step 2 of 5
You join our workspace on day one
We invite you into our Google Workspace and open a chat space where you talk directly with the people building your system. No account manager relaying messages, no weekly status email standing in for access.
Most clients are chatting with their developers within the hour.
- Haider Ali
The groundwork is decided before the code
Once requirements settle, Haider and the solution architecture team make the decisions that are expensive to reverse — stack, data model, integrations, where the AI sits — and put them in writing before anyone builds on top of them.
Every decision has a written why attached.
- Step 4 of 5
You watch it get built
A demo call every week, showing working software rather than slides. What we got wrong is cheap to correct in week two and expensive in month three, so you see everything early and often.
Weekly demos, from the first week there is something to run.
- Bazil Rana
The relationship outlasts the build
Most first builds become a second. We keep operating what we ship, and the chat space stays open — the people who built your system remain the people who answer about it. Somewhere along the way, Bazil will invite you to a virtual coffee. He invites everyone. There is no agenda; you are just friends now.
Not ready for a call? Devin will tell you what is worth building first — no contact details needed to see the answer. Or write to [email protected].
Rated 4.4 out of 5 on Clutch.
Based on 4 verified reviews on Clutch. Clients cite responsiveness, value for cost, and a working relationship that holds up under pressure.
Read the reviews on ClutchThe stack we build on
32 technologies across 6 disciplines
- LanguagesChosen per system, not per fashion. Most of what we ship is TypeScript or Python end to end; .NET and Java where the client's estate already speaks them.
TypeScript
JavaScript
Python
Go
Java
C#
.NET
- FrameworksReact and Next.js for what people see. Node and .NET services behind it.
React
Next.js
Node.js
Angular
Flutter
Tailwind CSS
GraphQL
- AIClaude and OpenAI models in production, behind evaluation — nothing ships on a demo.
Claude
OpenAI
LangChain
- Automationn8n, Zapier or Make where they fit. Custom services where they stop fitting.
n8n
Zapier
Make
- Cloud & InfrastructureAWS and Azure, containerized, deployed from a pipeline on merge. Terraform for anything we would have to rebuild by hand.
AWS
Azure
Docker
Kubernetes
Terraform
Vercel
GitHub Actions
- DataPostgres by default, with Redis and Mongo where the shape of the problem asks for them.
PostgreSQL
Supabase
Redis
MongoDB
Stripe
Six countries, thirty cities.
- United Kingdom
- LondonManchesterBirminghamLeedsEdinburghBristol
- New Zealand
- AucklandWellingtonChristchurch
What we have learned building this.
Tell us what you are trying to build.
A thirty-minute call is usually enough to tell you whether we are the right firm for it. If we are not, we will say so and point you somewhere better.
Or reach us directly: [email protected] · +1 321 335 0265