We build agents that see, listen and learn — helping people and organizations understand what is unfolding, and find their next move.
A conversation is more than its transcript. A team is more than its decisions. We develop agents that connect words, sound, movement and context — opening new ways to learn and act together.
Specialized agent families, shaped by real practice, explicit methods and human expertise.
A second perspective on the helping conversation. Revisit sessions, explore choices and bring sharper questions to a human supervisor.
See the process inside the meeting. Explore competing goals, recurring patterns and new frames for moving forward together.
Keep learning between sessions with a teacher. Support peer practice, explore moments of difficulty and connect exercises to experience.
Help digital employees reflect on their own work. Examine interactions, recognize uncertainty and turn reviewed feedback into tested improvements.
03 / A CHANGE IN PERSPECTIVE
Review a fictional meeting after it ended. Compare three sources to see what the team decided and what they missed.
The exact wording records what the participant agreed to and the decision that followed.
Reading the exchange on its own, the team might take the decision for the end of the discussion.
From the recording of a meeting about a launch.
“Are we ready to move forward?”
“Yes, let’s move forward.”
“Then we’ll go ahead with the launch.”
Every agent belongs to a learning environment: a method, a curator, human mentors and a history of evidence. The agent and its environment evolve together.
Preserve the source. Notice what is available — and what is missing.
Apply an explicit frame. Keep observations and hypotheses distinct.
A curator examines uncertainty and prepares useful questions.
Human feedback becomes a proposed change, with its origin intact.
Test on a new case. Release improvements that earn their place.
THE NEXT ENCOUNTER BEGINS WITH A BETTER QUESTION
↰We collaborate with practitioners and representatives of different schools of psychology, coaching and training. These relationships connect our lab with human expertise, methods and real-world practice data — the foundation for developing and teaching our agents.
Together with practitioners, we turn experience into research material and test agents in meaningful contexts. Data use is agreed with participants; experts help interpret the results.
Every interpretation should lead back to what was actually observed. Unknowns remain visible.
The chosen worldview, its concepts and its limits are explicit. Different perspectives can coexist.
Participants agree on the agent's role, use of their data and when it may intervene.
More conversations do not automatically mean better agents. Improvements require review and evaluation.
Named for the Egyptian goddess Neit, our identity brings an ancient name into a new field of inquiry. Interwoven lines become our visual language for perception, relationship and possibility.
A focused pilot starts with one setting, one meaningful question and a way to tell whether the agent helped.
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