We engineer imagination into production.
AI solutions, web applications, database modernisation and cloud architecture — delivered end to end by senior engineers, for the number we quoted, on the date we committed to.
- Projects delivered
- 180+
- Running in production
- 100%
- Delivered on time
- 96%
Projects delivered
Running in production
Delivered on time
- AWS
- Azure
- Kubernetes
- Terraform
- React
- Next.js
- TypeScript
- Node.js
- Go
- Python
- .NET
- PostgreSQL
- Snowflake
- Databricks
- Kafka
- dbt
- Claude
- LangGraph
- GraphQL
- Datadog
Numbers we are happy to be held to.
Every engagement we have shipped is live, supported, and still in production today. These are the figures we report to our own board.
- 0+
- Projects delivered
- 0%
- Production success rate
- 0%
- On-time delivery
- 0%
- Average cost reduction
Across AI, product, data and cloud engagements since 2017.
Every engagement we have shipped is live and supported today.
Measured against the original committed milestone date.
Typical run-rate saving after a platform modernisation.
i2 — imagination, squared into implementation
Meaningful innovation starts with imagination. We imagine better ways to solve problems, then combine technology, expertise and execution to make them real.
- 01
We imagine what could be better.
- 02
We engineer how it can be done.
- 03
We implement it in the real world.
After AI, implementation alone is not a differentiator
Anyone can build quickly now. What separates a system that matters from one that merely ships is the thinking upstream of it — the better idea, the sharper problem definition, the decision not to build something. We put innovation inside the delivery, not in a workshop beside it.
Four practices. One delivery standard.
Most problems worth solving cross more than one discipline. Our practices are staffed to work as a single team, not four vendors on one call.
Senior engineers. Honest dates. Systems that last.
We are deliberately not the largest firm you could hire. We are built to be the one that finishes.
- 0+
- Engineers
- 0
- Countries served
- 0 yrs
- Average tenure
- 0/7
- Support coverage
Median 9 years' experience.
Delivery across 4 time zones.
Of our principal engineers.
Follow-the-sun on-call.
- 01
Senior by default
No pyramid staffing. The engineers in your architecture review are the ones writing the code, with a median of nine years behind them.
- 02
Timelines we actually hold
96% of our milestones land on the originally committed date. When a date is at risk you hear it in the next stand-up, not the next steering committee.
- 03
Cost-effective by design
Right-sized architecture and honest FinOps. We have never proposed a platform larger than the problem it solves.
- 04
Production is the finish line
A project is not delivered when it is demoed. Every engagement we have shipped is running in production and supported today.
Outcomes, not slideware.
A selection of engagements where the result was measurable and the system is still running today.
A method that makes the date believable.
Four stages, each with an explicit exit criterion. You always know which one you are in and what has to be true to leave it.
- 01
Imagine
We start with the problem, never the technology. A short, intense discovery that asks what would actually be better — and tells you plainly if the idea needs reshaping before anyone writes code.
- 02
Innovate
We work out how it can be done, then whether it should be done that way. The right architecture, the right model, the right amount of system — and a fixed commercial envelope before you commit.
- 03
Implement
Two-week increments, deployed to a real environment from week two. Progress is something you can click on, not a percentage in a status report.
- 04
Impact
Runbooks, observability and measured outcomes until the system is yours outright. A project is not delivered when it is demoed — it is delivered when it is changing the number it was built to change.
Domains where the constraints are the hard part.
Regulation, legacy estates and uptime obligations change how a system has to be built. These are the sectors where we already know what breaks.
Financial Services
Core banking, payments, risk and regulatory reporting.
Healthcare & Life Sciences
Clinical workflow, interoperability and patient data.
Retail & Consumer
Commerce platforms, supply chain and personalisation.
Manufacturing
Industrial IoT, plant analytics and predictive maintenance.
Technology & SaaS
Platform engineering, developer tooling and scale-up support.
Transport & Logistics
Fleet, routing, visibility and warehouse systems.
Energy & Utilities
Grid data, asset management and sustainability reporting.
Public Sector
Citizen services, legacy modernisation and data governance.
What clients say when the programme ends.
They told us in week one which part of our plan would not work. That honesty cost them scope and bought them a five-year relationship.
Group CTOInternational logistics group The cutover took four minutes. After eleven weeks of rehearsal it was the least dramatic night of the entire programme, which is exactly what we paid for.
Director of Core PlatformsTier-1 retail bank Most vendors demo AI. iSquare Labs handed us an evaluation suite and let us grade it ourselves. That changed the conversation entirely.
VP EngineeringGlobal software organisation
What we have learned the hard way.
Field notes from engineers who are currently on an engagement, not think-pieces from people who left delivery a decade ago.
- AI Engineering
Your evaluation suite is the product, not the prompt
Teams obsess over prompt wording and ignore the thing that actually determines whether an AI system can be trusted in production.
iSquare Labs Engineering · 14 Aug 20267 min - Data
The zero-downtime migration playbook
How to move billions of rows off a legacy database without a maintenance window — and why rehearsal matters more than tooling.
iSquare Labs Engineering · 2 Jul 202611 min - Cloud
Cloud cost is an architecture decision, not a finance one
By the time the invoice arrives, the decision that caused it was made six months earlier. Here is how to move the feedback loop upstream.
iSquare Labs Engineering · 18 Jun 20269 min
What should we build together?
Tell us the outcome you need and the date it has to land. We will tell you honestly whether we can hit it — and exactly what it will take.
Typical response within one business day · No-obligation architecture review