For teams & enterprises

Build a
Digital
Double
Organization

Replicate your key people and train them to work
as productive human-AI tandem.
Pressure-test collaboration and alignment in
end-to-end workflow simulations—
from daily stakeholder interactions to board-level strategy.

31
YouThe person & their judgment
Your Digital DoubleTheir calibrated AI twin
One high-performing duoBetter Together

The Shift

From Tool Users to Calibrated Units

Pair each employee with a digital counterpart that preserves judgment, memory, and working style.

The Pair

A Replica That Thinks Like You

Turn artifacts, workflows, and scenarios into a working model of how each person thinks and acts.

The Platform

Rehearse Decisions Before Execution

Simulate moves, compare pathways, and align teams inside one continuous operating environment.

The Outcome

Intelligence That Compounds

Replace one-off assistance with a human-plus-replica system that gets better over time.

Our Approach

Why Digital
Doubles?

Generic tools assist with tasks. Digital Doubles preserve memory, context, and operating identity.
Teams rehearse decisions with a replica that behaves more like the real teammate over time.

Memory

Memory is personal. It is what the AI has lived: experiences, interactions, and events with temporal and episodic structure. It accumulates.

Context

Context is universal. It is what the AI has been told: documents, knowledge bases, uploads, and static content that remains constant over time.

Identity

Identity emerges from memory over time. It cannot be configured, only grown. It represents the organic evolution of the AI.

The Product

Working inside high-fidelity simulation

Digital Double Simulation Studio and Workflow Gym provide the arena where units practice complex workflows, generate and score artifacts, run meetings, and simulate high-stakes decisions with measurable feedback.

How the Double works

From inception to an
evolving cognitive replica.

A Digital Double is not a chatbot with memory; it is a layered, person-specific intelligence model.
It is formed, retrieved, controlled, calibrated, and versioned through evidence and scenario tests.

Inception architecture

evidence bundleparallel artifactsmemory core
source evidence parallel artifacts persistent substrate Life-history values · narrative Decision incidents cues · choices Psychometrics scores · bands Behavioral tasks preferences tagged evidence Reflections expert behavioral claims Control model personal + professional Pattern tables processing style Memory Core persistent cognitive substrate provenance · audit
Parallel artifacts

Reflections, control models, and pattern tables are produced from the same evidence rather than stacked as one flat layer.

Governed memory

The control scaffold constrains and validates how behavioral claims are deployed.

Auditability

Each artifact preserves source links, confidence markers, and construction metadata.

Research-backed foundations
Cognitive fidelity

Structured elicitation, psychometrics, retrieval, and validation work together.

Behavioral simulation
Behavioral replication

Novel responses are grounded in structured evidence about past decisions, values, and tendencies.

Park et al.
Generative agents

Persistent memory, retrieval, and reflection support coherent behavior over time.

Simulacra paper
Retrieval systems

Answers are grounded by retrieving relevant memory before generation.

RAG paper
Decision analysis

Expert judgment is captured through incidents, cues, goals, actions, and tradeoffs.

CDM reference

Runtime decision architecture

routingretrievalcontrol
runtime pipeline request in · governed answer out Incoming query intent · stakes Answer scope what’s needed Retrieve memory by relevance memory lanes Two-lens draft substance + style kept separate Governed answer control + policy audit trace
Burden first

The system identifies the answer requirements before retrieving content.

Semantic retrieval

Reflections surface by meaning, metadata, and scenario fit — not keyword memory alone.

Controlled output

The final answer is constrained by matrices, governance rules, and auditability.

Research-backed foundations
Cognitive fidelity

Structured elicitation, psychometrics, retrieval, and validation work together.

Behavioral simulation
Behavioral replication

Novel responses are grounded in structured evidence about past decisions, values, and tendencies.

Park et al.
Generative agents

Persistent memory, retrieval, and reflection support coherent behavior over time.

Simulacra paper
Retrieval systems

Answers are grounded by retrieving relevant memory before generation.

RAG paper
Decision analysis

Expert judgment is captured through incidents, cues, goals, actions, and tradeoffs.

CDM reference

Calibration architecture

early validationevidence confidencescenario battery
validate before trust commit gate Initial Double provisional Test prompts novel situations mismatch Candidate fix pending evaluation Scenario battery pass / fail New baseline trusted version pass Hold keep prior fail
Profile humility

The first Double begins as a high-quality estimate, then earns trust through evidence.

Correction gates

Observed mismatch does not automatically rewrite the profile.

Battery testing

Candidate changes must preserve coherent behavior across controlled scenarios.

Research-backed foundations
Cognitive fidelity

Structured elicitation, psychometrics, retrieval, and validation work together.

Behavioral simulation
Behavioral replication

Novel responses are grounded in structured evidence about past decisions, values, and tendencies.

Park et al.
Generative agents

Persistent memory, retrieval, and reflection support coherent behavior over time.

Simulacra paper
Retrieval systems

Answers are grounded by retrieving relevant memory before generation.

RAG paper
Decision analysis

Expert judgment is captured through incidents, cues, goals, actions, and tradeoffs.

CDM reference

Controlled learning architecture

control windowsdriftversioning
controlled learning loop New signals dimension-scoped Drift score threshold check Validate scenario battery Commit version v(n+1) baseline new version Prior baseline safe rollback fail → rollback
Signal discipline

New evidence is fragmented, scored, and attached to dimensions rather than absorbed wholesale.

Validation before change

A candidate profile must pass controlled scenarios before deployment.

Reversibility

Versioning allows failed changes to roll back without corrupting the Double.

Research-backed foundations
Cognitive fidelity

Structured elicitation, psychometrics, retrieval, and validation work together.

Behavioral simulation
Behavioral replication

Novel responses are grounded in structured evidence about past decisions, values, and tendencies.

Park et al.
Generative agents

Persistent memory, retrieval, and reflection support coherent behavior over time.

Simulacra paper
Retrieval systems

Answers are grounded by retrieving relevant memory before generation.

RAG paper
Decision analysis

Expert judgment is captured through incidents, cues, goals, actions, and tradeoffs.

CDM reference

Highest standards

Engineered for trust.
Built for private doubles.

Digital Doubles carry memory, judgment, files, and enterprise context.
Better Together keeps simulations, integrations, and artifacts inside controls your organization can audit.

Personal memory stays protected

Employee context, instructions, and working style are treated as sensitive assets, with access controls, auditability, and controlled data lifecycle patterns built into the operating model.

Scales from one duo to the organization

Teams can rehearse workflows, connect systems, and distribute approved artifacts while keeping governance visible across people, doubles, tools, and simulated scenarios.

Compliance & controls

SOC 2 & HIPAA Certified

Audited by leading third-party cybersecurity firms across security, availability, and privacy integrity.

GDPR Compliant

We uphold the highest European data-protection standards, keeping your replicas and records fully under your control.

Encryption Everywhere

Every simulation, artifact, and persona is protected with TLS 1.2+ in transit and AES-256 at rest.

Rigorous Penetration Testing

Annual graybox application and network tests performed by certified third-party firms.

Secure Integrations

Slack, Teams, Zoom, and Gmail connect via OAuth2 — we never store your third-party credentials.

Proactive Vulnerability Scanning

Real-time SAST, DAST, and dependency scanning to remediate risks before they emerge.

Better Together

What Digital Doubles and humans
can achieve together.

What a verified Double becomes for you — and six enterprise scenarios where a human-plus-Double pilot moves a number leadership already tracks.
Each scenario shows the metric it affects and how a pilot would measure it.

+20ha week to do more 10×on a KPI, no ceiling

Never learn another tool again

Talk to your Double the way you would a trusted colleague. It carries your judgment, so you stop juggling tools and just decide.

Story

It coaches you in private, keeps your confidence, and rides along as a co-pilot on live decisions.

Measure

Works with you as your trusted coach, confidant, and verified co-pilot — measured by hours and KPI.

2.4×Decision-cycle speed 2.7×Idea to approval

De-risk high-stakes approvals

A product lead rehearses a board review with finance, legal, engineering, and customer stakeholders before asking executives to approve.

Story

The Double surfaces likely objections, missing evidence, and decision gates while there is still time to revise the proposal.

Measure

Compare approval-cycle time and decision-reversal rates for proposals rehearsed in simulation first.

−41%Rework cycles 2.3×Successful launches

Catch launch risks before commit

A delivery team runs a release plan past simulated dependency owners, security, and operations before the go/no-go gate.

Story

The simulation exposes missing telemetry, unclear ownership, and late dependency gaps before they become expensive to fix.

Measure

Track reopened work, late blockers, and launch-gate pass rates before and after simulated release reviews.

3.1×ROI on strategic bets 71%Decision-quality consistency

Make defensible portfolio decisions

Leadership weighs strategic bets against customer impact, capacity, revenue timing, and risk before committing budget.

Story

Each scenario leaves a traceable rationale, so later reviews can see what was predicted, what changed, and why the call still holds.

Measure

Score decisions against agreed criteria, then review initiative ROI and rationale consistency across cycles.

−64%Key-person dependency 2.9×New-leader ramp time

Reduce key-person dependency

A senior operator is out during a critical planning cycle, yet the team keeps moving from prior decisions and review patterns.

Story

The Double carries stakeholder preferences, recurring risks, and the operator's usual checklist without claiming to replace the person.

Measure

Measure blocked decisions, escalation frequency, and time-to-context during planned-absence windows.

82%Cross-team decision quality −58%Low-value coordination time

Align stakeholders before the meeting

Product, sales, support, and operations rehearse a customer escalation before pulling everyone into a live meeting.

Story

The simulation clarifies ownership, missing evidence, and open commitments, and what should not be promised to the customer yet.

Measure

Compare meeting hours, decision reversals, and stakeholder agreement after simulated alignment prep.

3.4×Knowledge-transfer speed 89%Retention in pilot teams

Onboard new hires on real decisions

A new hire learns by replaying real decision paths instead of reading static documentation alone.

Story

They can see what was considered, rejected, negotiated, and changed before the final artifact was approved.

Measure

Test comprehension, retained context, and time-to-useful contribution against standard docs.