Engineering software for the AI era.
We modernize established applications, build new products, and solve complex AI engineering challenges—from agentic workflows to intelligent automation.
Discuss your project →Modernize what already works
Transform established applications into AI-first products without losing the business logic, workflows, and domain knowledge that make them valuable. Modernize architecture, user experience, and integrations while introducing intelligent workflows and AI agents that handle meaningful work.
Application Modernization →Build what’s next
Take a product idea from concept to a working MVP and beyond, including AI-native products with conversational interfaces and agentic capabilities where they add value. Since 2008, we’ve incubated more than twenty products. That experience helps us decide what to build, what to leave out, and how to build for growth.
MVP in a Box →Have a difficult AI problem to solve?
We tackle difficult AI engineering challenges, from custom machine learning and computer vision to multi-agent orchestration, model adaptation, and intelligent systems engineering.
Engineering AI into real applications.
Our AI work spans machine learning, computer vision, language models and agentic systems. We develop the intelligence behind applications and engineer the systems around it—from model integration and application architecture to the controls that make AI dependable in real-world use.
Machine Learning & Model Engineering
Custom machine learning, computer vision, language models, model adaptation and optimization for problems that need more than an off-the-shelf AI service.
Intelligent Applications & Agentic Systems
Conversational interfaces, generative UI and agents that interpret requests, plan work and coordinate actions through existing application capabilities.
Production AI Engineering
The architecture, integrations, deployment infrastructure, validation and monitoring needed to make AI dependable in real products and business environments.
An agentic layer on a finance operations platform.
The AI interprets a request and builds a structured plan. The application applies authorization and validation, previews consequential changes for confirmation, and executes through its own services.
Read the case study →Medpanel reports at least a fourfold reduction in manual document follow-up and related coordination through the integrated platform and automated workflows.
Applied AI engineeringIncludes conversational UI generation, advanced agent orchestration for no-code application development, and AI-assisted automation of nonstandard legacy systems.
Behind it is our AI Lab: US patents, peer-reviewed research, and systems running in production today.
The AI Lab →We build things that last.
Not every application should be rebuilt. Not every workflow needs an AI agent. Not every idea should become a product.
We’ll tell you what’s worth building—and what’s not.
Start with a clear plan.
Let’s talk →Whether you’re modernizing an established application or building a new product, the right first step is knowing where to invest.
AI Modernization Assessment →For an existing product: a prioritized modernization and AI roadmap.
Founding Sprint →For a new product: a focused MVP plan covering scope, architecture, and delivery approach.
Start with a focused two-week engagement.