We build custom machine learning systems, automation pipelines, and scalable infrastructure for organizations that need more than off‑the‑shelf solutions.
We build end-to-end solutions tailored to specific challenges
Custom ML models trained on your data. From computer vision to natural language processing, we build intelligent systems that learn and improve.
Robust data pipelines that transform raw information into actionable intelligence. We handle the complexity so you can focus on insights.
Eliminate manual processes and connect disparate systems. We build automation that scales with your business.
Navigate complex technical scenarios with confidence. We help you make sense of problems so that you come out successfully.
We are scientists and engineers. We navigate complexity by continuously advancing our understanding of the problems we solve.
Every solution starts as a hypothesis, validated through experimentation. Systems evolve as our body of knowledge grows, sometimes in unexpected directions. Automated testing verifies the function of emergent designs, while continuous refactoring maintains their clarity.
Stable solutions enable further discoveries and innovations.
Maintainability is paramount. We minimize cognitive load by building on widely understood technologies while embracing innovation where it matters.
Protection built-in from the start. We design systems that are secure without compromising accessibility or usability.
Infrastructure, configurations, and specifications: all version-controlled. This reduces the cost of change, the risk of failure, and time to recover.
We can improve only what we can measure. Monitoring the internal dynamics of our systems enables us to identify systemic bottlenecks, predict service degradations, and adapt to increase resiliency.
Assign work to computers where they excel — detailed but repetitive tasks. Automated tests scaffold our systems, ensuring confidence through change. We find defects before deployment, not after.
Everything we build serves humans. For automated systems, we ask: whom do they serve, why, and how might they fail? Outcomes for people are a better measure of success than business metrics.
The scientific method also applies to projects. Our plans are grounded in reality so that our creativity can unleash the unimagineable.
A distributed team of specialists, headquartered in Washington, DC
Chief Technology Officer
A software system architect and engineer specializing in machine learning and automation. Alexis brings hands-on research experience spanning organic chemistry to electrical engineering, and has led software teams across multiple industries.
Chief Executive Officer
An organizational change agent with a career of experience leading teams, coaching executives, and managing products. Andrew has helped startups, multinational corporations, and government organizations to accomplish more with less.
Vice President, Design
A design leader specializing in human/machine interaction design, UX research, and product strategy. Danny has a wealth of experience carrying ideas from inception to mass adoption. He is an expert at defining a vision that turns a product from an idea to a practical solution for real people.
Engineering Advisor
A software engineering leader with a career of achievements in application development, ranging from low-level software development to managing teams of highly skilled engineers working on large-scale government systems. Charles is an expert in building systems that scale.
Tell us about your challenge. We will respond within one business day.