AI that reaches production. Software that stays there.
We have been shipping systems for healthcare, fintech and B2B SaaS since 2013. We build the unglamorous parts that make AI work — and we stay on after launch.
The problem
Most AI projects never leave the pilot.
The models are a commodity now. What separates a demo from a system your team actually uses is the unglamorous part: the data plumbing, the retrieval that returns the right document, the evaluations that catch a regression before a customer does, the deployment that holds up under concurrent load.
We have been shipping production software since 2013 — healthcare under HIPAA, platforms moving real money, government ERP. We apply the same discipline to AI.
How we work
Assess, build, operate.
Assess
We start with your workflow, your data and your constraints — not with a model choice. Two to four weeks. You leave with an architecture, a scope, a cost and latency envelope, and an honest answer on whether the thing is worth building at all.
Build
A small senior team works inside your process, not alongside it. Environments, CI/CD, evaluations and security are set up in the first week rather than bolted on before launch.
Operate
We stay on after go-live — scaling, new features, model and dependency updates, incident response. Most of our engagements are measured in years.
Selected work
Thirteen years of systems that carry real consequences.
Customer Onboarding and Prioritization Platform
MVP to production platform for enterprise SaaS onboarding: cross-functional collaboration, use-case management, RAG status reporting and JIRA integration.
Instant Virtual Primary Care
A virtual primary care station combining WebRTC consultations with remotely connected medical devices, on a full CI/CD pipeline.
Serving a 72B Open-Source Model Under Concurrent Load
Deploying Qwen 2.5 72B in-house with concurrent API request handling, serving architecture and performance stability under load.
What we do
Four things, done properly.
AI Engineering
LLM applications, retrieval-augmented generation, open-source model deployment and serving, computer vision, and retrofitting AI into products that already have users.
02B2B SaaS Product Engineering
Multi-tenant architecture, onboarding, billing and admin — the parts founders under-scope. From MVP through to scale, with the same team.
03Web Application Development
Complex web systems where the domain is genuinely hard: real-time video and voice, connected hardware, compliance-bound builds.
04Business & Technology Consulting
AI readiness assessment, architecture review, modernisation roadmaps, and build-buy-integrate decisions.
In their words
Clients who came back.
“I've had the pleasure of knowing IRA Softwares for 9 months, during the development of custom modules for E-CIDADE, an ERP software for Government. Above all, I was impressed with Nittile's ability to manage the core team of developers. Nittile would be a true asset for any position requiring team management, and comes with my heartfelt recommendation.”Project Leadere-cidade
“This was a very difficult C++ and C# project of taking multiple SDK projects and remotely viewing the data. IRA Softwares’ team did exceptional work with this and will be hired for many more projects to come. This was a new type of programming for the team. They did exceptionally well and overcame a huge hurdle.”Chief Technology OfficerOnMed, MD-PLUS Inc
“It was a pleasure working with IRA Softwares on some projects where we had to complete the projects efficiently with good quality. Over the years, Nittile has built a team of very professional and talented developers serving international clients — strongly recommended!”Founder & CEOCogniSaaS
Insights
Notes from the field.
Serving a 72B open-source model under concurrent load
Batching raises throughput and costs you latency. Choosing between them is most of the job.
What an AI readiness assessment actually covers
Four weeks, six questions, and one honest answer about whether to build at all.
Adding an AI feature to a product that already has users
The constraint is never the model. It is everything the model has to fit into.
Recognition
Business of the YearGoing Global Awards 2019, Chicago, USA
50 Most Promising BrandsMumbai, India
Ready to talk about what you are building?
Tell us the problem rather than the solution. We reply within one working day, and it is an engineer who answers.