AI-native work environments, adaptive simulations and measurement infrastructure that capture how people actually work with AI. Built with research partners.
AI-native environments, simulations and data infrastructure that capture real work, not self-reported surveys. Built with research partners.
Infrastructure
The question is whether people and organizations turn that spend into productivity. We build the tools to measure it.
Technology areas
Realistic digital workspaces where people solve real tasks with AI.
They show how people approach tasks, use AI and adapt when the work changes.
Applications
AI-assisted knowledge work
Collaborative problem-solving
New forms of human-AI work
Configurable scenarios that adapt to roles, industries and research questions.
Our first simulations showed they can be built quickly. Now they adapt to each study design.
Fast experimentation, while researchers set the methods and evidence requirements.
Responsible collection and analysis of evidence under clear data governance.
New questions about AI and productivity need new ways to collect and interpret evidence.
Always subject to
Agreed protocols
Participant consent
Applicable requirements
Appropriate governance
Validity and interpretation of findings stay with the research teams.
Built on working technology
Already in use, measuring how people perform with AI in realistic work scenarios.
Click through the live preview: the dashboard, a role's scenarios and a participant's capability profile.
Ordered by Composite Score, with a per-capability breakdown.
A short narrative of each participant's strengths and gaps.
Step through each participant's actual prompts and reasoning.
Every answer and prompt stored for review and analysis.
Work scenarios generated from a role and adapted to each participant
An AI assistant with every prompt and response recorded
A live coding environment with an AI coding agent
Available in English, Finnish and Swedish
The same foundation, adapted to new research questions and organizations.
Scientific questions lead.
Define the questions, methods and evidence requirements.
Technology enables.
Builds the environments, tools and infrastructure a study needs.
Collaboration creates impact.
Participating organizations
Bring real work, and get the findings back.
Let's talk about measuring it with our technology.