Digimasq AI
Digimasq AI

Thinkers. Builders. Explorers.

We imagine systems, build technology, and explore what AI can become inside complex worlds.

Digimasq AI, Inc.

Digimasq AI develops proprietary artificial-intelligence technologies for persistent world modeling, behavioral intelligence, simulation, multi-agent systems, and decision support. Our work is focused on AI systems that can operate within evolving environments where people, rules, relationships, events, and consequences change over time.

The company combines broad software-development experience with hands-on AI model training, deployment, infrastructure, data, and systems engineering. We build complete technology platforms rather than isolated AI features, with applications spanning enterprise, government, training, analysis, simulation, research, and other complex operational environments.

Engineering-Led by Design

A unique approach to persistent AI.

The market is increasingly validating persistent world AI as an important new category. While many companies are pursuing this through learned world models, Digimasq AI takes a different architectural approach.

We make persistence explicit. State, memory, rules, relationships, events, and consequences are represented and maintained outside the generative model, allowing AI to reason within an environment whose history and current condition can be observed, tested, and traced.

This creates a more reliable source of truth for long-running AI systems. Rather than reconstructing the world from prompt context each time it acts, the model operates within a persistent world runtime that continuously updates as the modeled environment evolves.

Leadership

Meet the leadership team.

Ben Joshua with his dog

Ben Joshua

President & Chief Executive Officer

Jason Becht

Jason Becht

Executive Vice President & Chief Technology Officer

Technical Breadth

Broad experience gives us more ways to solve difficult problems.

We are not committed to forcing every problem into one programming language, framework, model provider, infrastructure platform, or architectural pattern. Our engineering background spans enough of the software landscape to choose technologies based on the system being built.