About us
We plan, build and support the systems organizations run on
AI Software Corporation is a technology delivery company for growing organizations. We modernize applications, build software and cloud platforms, apply AI and automation where they help, and support what we deliver. Our aim is to be useful, not impressive.
Our purpose
The hard part starts after the prototype
Our mission is to help organizations run software, cloud platforms and automation they can depend on, and understand well enough to own.
Plenty of organizations have a core system that nobody wants to touch, a cloud migration that stalled halfway and an AI pilot that never reached production. What holds them back is rarely the framework, the platform or the model. It is the engineering around them: integration with existing systems, trustworthy data, tests, monitoring and clear ownership once the project team moves on.
AI Software Corporation exists to do that engineering well. We keep software engineering, cloud, AI and consulting in one company, so the people who recommend an approach also think about how it will be built, tested, released and operated. Less context gets lost between advice, build and operations.
We focus on systems that are part of how an organization operates: the claims platform, the order pipeline, the internal tools other teams build on. Those systems reward careful engineering and expose shortcuts quickly. That is where we want to be judged, including on whether your team can run and extend what we built after we step back.
What we do
Four practices that work as one team
Start with the practice closest to your problem. The others join as the work needs them, without a handover to another firm.
Software engineering
Applications, APIs and integrations, built new or modernized in steps, then tested and supported for the long run.
Cloud platforms
Moves to the cloud in planned stages, and platforms that stay secure, reliable and affordable to run.
AI, data and automation
Automation and AI put to work where they save real effort, on data you can trust, with people checking what matters.
Consulting
Architecture, modernization, cloud and AI decisions, with the reasoning written down and a plan to deliver.
What we believe
The principles we rely on when trade-offs get hard
Every project forces choices between speed, cost, scope and risk. These beliefs guide those calls, so you can predict how we will make them.
Simple outlasts clever
Systems should be easy to understand, change and run for whoever inherits them. We choose proven technology first and add complexity only when the problem requires it.
Judged under real conditions
We judge every system, AI or otherwise, by how it copes with production data, actual users and peak load, because a scripted walkthrough hides most of what can go wrong.
AI has to earn its place
A model is worth its cost only when it removes real work or improves a real decision. When a rule, a clearer form or a simple report fits better, we recommend that.
Software is never finished
A system spends far longer in production than in development. We make choices with its future maintainers, operators and users in mind, not only the next release.
Candor protects delivery
Clear estimates, visible risks and early bad news save more projects than optimism does. We would rather lose a deal than win it with a promise we cannot keep.
Engineers close to the problem
People build better software when they understand the business around it. Our engineers talk with the people who use and run the system, not only with a ticket queue.
How we differ
Where we choose differently from typical outsourcing
The typical model suits plenty of work. These are the points where we deliberately take another route, because they matter most for systems you have to run.
| Area | Typical approach | Our approach |
|---|---|---|
| Advice and delivery | Strategy and delivery are often bought from different firms, with a handoff in between. | The engineers who assess your systems can build what they recommend, or brief your team to do it. |
| Testing and quality | Testing is commonly a separate phase near the end of delivery. | Automated tests, code review and security checks are part of every change from the start. |
| Applied AI | AI is often scoped as a standalone pilot, apart from core systems. | AI features go into the systems people already use, and ship with test sets, review queues and production monitoring. |
| After launch | The project ends at launch, and a separate team picks up support. | Running the system is planned during the build: alerting, runbooks and support arrangements are agreed before launch. |
| Ownership and handover | Key knowledge can stay with the delivery team, which makes a change of provider slow. | You own what you pay us to build, documented well enough for your own team to take over. |
Advice and delivery
- Typical approach
- Strategy and delivery are often bought from different firms, with a handoff in between.
- Our approach
- The engineers who assess your systems can build what they recommend, or brief your team to do it.
Testing and quality
- Typical approach
- Testing is commonly a separate phase near the end of delivery.
- Our approach
- Automated tests, code review and security checks are part of every change from the start.
Applied AI
- Typical approach
- AI is often scoped as a standalone pilot, apart from core systems.
- Our approach
- AI features go into the systems people already use, and ship with test sets, review queues and production monitoring.
After launch
- Typical approach
- The project ends at launch, and a separate team picks up support.
- Our approach
- Running the system is planned during the build: alerting, runbooks and support arrangements are agreed before launch.
Ownership and handover
- Typical approach
- Key knowledge can stay with the delivery team, which makes a change of provider slow.
- Our approach
- You own what you pay us to build, documented well enough for your own team to take over.
Working here
Join engineers who care what happens after launch
Read how we work together, the disciplines we hire for and what to expect from our hiring process.
Explore careers
Next step
Which system do you need to get right?
A core system that is risky to change, a cloud migration to plan, a process that still runs on spreadsheets: start with whichever one worries you most.
Or call +1 302-464-5943 · Eastern Time (ET)