Software engineering since 2016
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.
Ten years. 240 projects. Six countries.
- 4.4 / 5
- Clutch rating
- 240
- Projects delivered
- 100+
- People on the team
- 6
- Countries served
The stack we build on
32 technologies across 6 disciplines
- Languages
TypeScript
JavaScript
Python
Go
Java
C#
.NET
- Frameworks
React
Next.js
Node.js
Angular
Flutter
Tailwind CSS
GraphQL
- AI
Claude
OpenAI
LangChain
- Automation
n8n
Zapier
Make
- Cloud & Infrastructure
AWS
Azure
Docker
Kubernetes
Terraform
Vercel
GitHub Actions
- Data
PostgreSQL
Supabase
Redis
MongoDB
Stripe
Most software fails quietly. It works in the demo, then buckles the first time real volume hits it.
We build the other kind — systems that run for years, under load, in production. We have been doing it since 2016, and we are still running most of what we shipped.
What we do
Four things, done properly.
Applied AI
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
Selected work
Software we built and still run.
- 240
- Projects delivered
- 100+
- People on the team
- 10
- Years in operation
- 6
- Countries served
How we work
Four stages, no surprises.
- 01
Scope
We map the process the software has to support and agree what the first release must do. We also write down what it deliberately will not do, because that is the part most projects skip and later argue about.
- 02
Architect
Data model, service boundaries and the decisions that are expensive to reverse. You see these before anyone writes application code, in language you can actually evaluate.
- 03
Build
Two-week iterations against a working staging environment. You review running software rather than progress reports, and change direction while changing direction is still cheap.
- 04
Operate
Monitoring, alerting and a tested restore before launch rather than after the first incident. Most of our client relationships continue for years past the first release.
Verified reviews
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 ClutchWhere we work
Six countries, thirty cities.
10 cities
United States
Eastern through Pacific. Our own office is in St. Petersburg, Florida.
6 cities
United Kingdom
Full UK working-day coverage on GMT, with handover before London closes.
5 cities
Canada
Eastern through Pacific, aligned to North American hours.
3 cities
United Arab Emirates
Gulf business hours covered directly, Monday to Friday.
3 cities
Saudi Arabia
Sunday to Thursday working week, staffed to match rather than worked around.
3 cities
New Zealand
A day ahead, so work lands overnight and is reviewed at the start of yours.
Founders
Ten years, the same two people.
Bazil Rana
Chief Executive Officer
Bazil leads Devinity's commercial direction and is in the room for scoping on every engagement. If you are deciding whether to build something, he is the one who will tell you when the answer is no.
Commercial and delivery
Bazil on LinkedIn
Haider Ali
Chief Technology Officer
Haider owns technical architecture and engineering standards across client work and our own products. Decisions that are expensive to reverse get made by him, in writing, before anyone writes application code.
Architecture and engineering standards
Haider on LinkedInInsights
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