Your organization, simulated.
See how a decision echoes throughout the organization
Traditional insights and analytics describe what happened, not what will happen.
of executives say their company can't make high quality decisions quickly
of organizational change initiatives fail to achieve their goals
of M&A initiatives fail to deliver intended value
Hundreds of agents simulating employees.
Each employee becomes an agentic twin designed around their contextual environment and intrapersonal predictive characteristics such as their personality and values, expertise, and career history.
Real-time variables feed the simulation: stock price, P&L, headcount changes, market shifts, geopolitics. Your digital team operates inside a faithful replica of its actual industry context, and using caretaker agents, is updated continuously.
Agent-based LLM simulations run thousands of scenario branches simultaneously. Each branch evolves through daily agent interactions, producing life-like emergent outcomes that build on previous interactions.
Before a single critical decision is made, see it play out across a thousand simulated futures, and prepare for the most likely outcomes.
Fast forward six weeks or six months.
Experience six months of team behavior in six minutes of simulation.
- 01
Executive search & assessment
Simulate a finalist inside the team they would actually join. See how a candidate's drivers and values interact with the incumbent leadership across the first six months, before an offer is made.
- 02
Senior team effectiveness
Stress-test a leadership team against the decisions ahead of it. Surface friction, coalition risk, and decision bottlenecks that emerge from how the team actually interacts, not from how the org chart says it should.
- 03
Leadership coaching
Give coaches a probabilistic view of how a leader's behavior ripples through their team. Target interventions on the relationships and contexts most likely to shape outcomes, with every recommendation traceable to an input.
See how it will work.
The signals that move behavior, modeled together as one system.
Events emerge from how people interact with each other. Ekho simulates the most probabilistic outcomes.
Psychometrically grounded
Every twin is built from a validated psychometric layer using Core Drivers and Values profiles.
Probabilistic prediction
Every scenario can be run thousands of times, providing a range of the most likely outcomes.
Defensible by design
Emergent events are based on micro interactions that are query-able. Every output traces back to an input.
Building on robust research.
Ekho stands on decades of peer-reviewed work on simulated organizational research and generative agents that replicate human behavior. This memo covers the propositions, peer-reviewed supporting research, and the validation plan.
“You can't survey a future that hasn't happened yet. But you can simulate it and test it before committing to any one version of it.”
Simulate your organization
before you run it.
We're partnering with forward-thinking organizations to co-develop and stress-test this technology on smaller teams. We'd love to build with you.