We build AI products and intelligent systems—from strategy through production—for startups and enterprises turning ideas into working products.
The challenge with AI in production has less to do with the technology and more with integrating it into real operations.
We've spent two decades building systems that integrate with messy realities: legacy infrastructure, compliance requirements, workflows that can't break. Handcrafting software systems long before the AI era built us a deep understanding of how people, processes, and infrastructure actually fit together. That's exactly what positions us to build AI that works inside your operations and delivers real value.
We love to tell the story of our journey in impact than in years—in the partnerships we've built and the problems we've solved together. Our failures have made the journey as interesting as our wins—and everything we learned from both is built into how we work today. However, for a quick introduction, here are the milestones:
The team came together around VOIP and next-generation network solutions—system integration, communication platforms, and early software customizations. Small projects, but they set the tone: build close to the client, solve the real problem.
We partnered with government, semi-government, and private institutions to design and deploy large-scale custom software. Every project sharpened our engineering practices, UI/UX thinking, and delivery processes. More importantly, it taught us to operate as partners, not vendors.
International clients brought new demands—cross-timezone delivery, public and private cloud infrastructure, and the discipline of global project management. This decade also deepened our healthcare technology work, building systems for an industry where uptime and accuracy are non-negotiable.
Today we're an AI innovation company—not just building AI for clients, but embedding it into how we operate internally. Healthcare technology remains a core focus, now powered by AI capabilities. Every era on this timeline taught us something different. This one lets us put it all to work.
Whether you're a founder developing a product from the ground up or an organization that needs a system built to fit a process no off-the-shelf tool handles well, we work with you from the first conversation through to deployment and beyond.
Good decisions need good data. We build the infrastructure to collect it, the pipelines to organize it, and the dashboards to make it readable – so your teams spend less time pulling reports and more time acting on them.
We help organizations identify where AI creates real value, then build and integrate the solutions that deliver it – whether that's automating a manual process, adding intelligence to an existing system, or assessing how ready your organization is to adopt AI at scale.
Replacing a legacy system without breaking what works is harder than it sounds. We help organizations modernize – moving from outdated infrastructure and manual processes to systems that are faster, more reliable, and easier to maintain – without losing the institutional logic baked into what already exists.
We work with leadership teams on technology strategy, architecture decisions, and roadmap planning – giving organizations the outside perspective and technical depth to make better calls before they commit.
Real systems, shipped into real operations.
We built IrisNote — an intelligent medical scribe that understands the full context of a doctor-patient conversation and generates structured SOAP notes without templates, configuration, or setup. Clinicians don't define what to capture or how to format it. IrisNote figures that out from the encounter itself, and delivers notes ready to paste into any EMR.
We built RecHUB to replace the spreadsheets and manual data-wrangling that slow finance teams down and leave them exposed to errors and audit risk. It automates end-to-end reconciliation — from data ingestion to exception resolution — and gives finance teams real-time visibility into every step of the process.
Whether you're a startup building your first AI product or an enterprise bringing intelligence to existing systems—we should talk.