Build a Digital
Double Organization
Coordinated decisions with speed and confidence.
Coordination
AI systems are fast. The handoffs between people aren’t.
The coordination tax
The manager’s day
Microsoft Work Trend Index 2023: the average employee spends 57% of their time communicating (meetings, email, chat) and 43% creating — measured across Microsoft 365 users in all industries. Manager time: Gallup 2025. Interruptions: Microsoft Work Trend Index 2025.
The gap
Every kind of workflow gets an AI tool,
but the decision-making coordination stays human.
What firms get today
ServiceNow AI Agent Orchestrator, Salesforce Agentforce.
Still on you
- only you understand the context
- only you know who and how to ask
- only you make decisions to act
Gartner, August 2025: 40% of enterprise apps will include task-specific AI agents by the end of 2026, up from under 5% in 2025.
The problem
The pressure is building — AI overloaded decision‑makers.
The overload
The cost
Manager time: McKinsey, “Decision making in the age of urgency,” 2019 (n = 1,228). Asking: Atlassian, State of Teams 2025. AI workload: Upwork Research Institute & Workplace Intelligence, “From Burnout to Balance,” 2024 (n = 2,500; U.S., U.K., Australia, Canada).
The solution
Each person trains a Double. Together they collaborate to prepare and make decisions on your behalf.
At 20 decision-makers: 190 possible conversations — or 20 connections to one DD Core.
Category
Everyone copies your face or your knowledge. We copy your judgment.
The trust gap
Acting isn’t the hard part.
Being trusted to decide is.
Cisco, March 2026 (enterprise customer survey) · Gartner, June 2025 (agentic AI project forecast).
The judgment
The judgment isn’t the task or ubiquitous AI knowledge —
it’s the why and how of the decision-making.
goes to making decisions.
McKinsey, “Decision making in the age of urgency,” 2019 (n = 1,228)
What to approve, when to push back, who to escalate to. That is judgment — and it lives in one head.
Product
A Digital Double is a persistent and evolving model of a specific real manager’s judgment behavior.
Positioning stack
Cognitive AI
Cognitive AI is AI that models how specific people reason and decide — why its host makes the call, how they weigh it, and how the room will react. It sits above copilots and agents, which generate content or take actions.
It brings four categories into one layer:
- Enterprise AI assistants & agents
- Human digital twins
- Behavioral simulation
- Governed delegation
Digital Double
A new approach to superintelligence: a persistent, governed model of one person’s working judgment that collaborates with other Doubles. It is built on three commitments:
- 1Models a real personThe unit is named human judgment, not a job title.
- 2Proves itself in rehearsalEvery workflow earns confidence before deployment.
- 3Acts with governanceApprovals, limits, escalation and audit are product features.
Our approach
We train and test your Double to make your exact judgment calls.
Calibrate
Dual-sided modelA ~25-minute behavioral and professional interview builds your Double.
Rehearse
Workflow GymYour Double runs your real workflows again and again — while you correct its calls.
Test
Simulation StudioEdge cases, pressure and hostile counterparts — every run is scored against your own call.
Release
Governed actionOnce it clears your bar, it acts — with permissions, limits, escalation and a full audit trail.
Each Double learns from its host, rehearses real scenarios, and proves reliability before it earns authority.
Simulation Studio
Rehearse every call before you release it — from one workflow to strategic war games and company-wide simulation.
Simulation output
The simulator doesn’t make AI feel safer. It generates the evidence needed to release it safely.
From the Digital Double Studio room library. Any room can be recomposed. Simulation output is illustrative.
Earned trust
It earns trust the way a new hire does.
It watches real cases, then suggests. It acts only on the decisions it has proven it calls the way you do.
Why now
Why now.
Park, J.S. et al., “Generative Agent Simulations of 1,000 People,” Stanford / arXiv, 2024 · Gartner IT spending forecast, July 2026 (software).
Efficiency
Your Double works with the DD Core and across your tools
testing possible scenarios to bring you one call to make.
Add $4M to XYZ? It would cross the 5% single-name limit by 0.4%.
You chose B in 7 of 9 similar cases
Governance
Your delegation-of-authority matrix, made executable.
Every limit is set by the leader it belongs to, mirrors the authority matrix your investment and risk committees already approve, and every action is logged.
Landscape & competition
Not another copilot or agent platform,
but a coordinated and vetted decision-making AI core.
youConsults expertsSimulates workflowsGoverned writesOne interface
Assessment based on each product’s public capabilities, October 2026.
Product
Your Double has 3 jobs.
Personal operating layer
Ask job-specific questions, draft work, compare options, prepare decisions and reflect — without learning a new interface every time the AI stack changes.
Company expertise network
Your Double can ask the authorized Doubles of top managers and specialists for context, precedent and judgment — and be borrowed by others to participate in simulation trainings.
Vetted digital operator
Once your rules are tested, the Double sends, decides and represents you within explicit limits — escalating the rest and working with other Doubles through the DD Core.
01Personal operating layer
Your Double learns every and any other tool for you, so you don’t have to. The last AI interface you’ll ever need.
02Consults for you
Your Double doesn’t have to know everything. It knows who does.
03Acts for you
Governed by design.
Coordination
A central decision core for the enterprise.
The application is designed to handle the heavy loads and strict security for large-scale operations.
The moat
The moat is the company’s decision graph.
Privacy & data sovereignty
Personal memory stays protected. Runs inside your boundary.
Security & encryption
- AES-256 at rest, TLS 1.3 in transit
- Third-party penetration testing
- Built toward SOC 2, HIPAA and GDPR
Private deployment
- Your AWS, Azure or GCP tenancy
- Full data isolation per customer
- Customer-managed encryption keys
Identity & personal memory
- SAML SSO and SCIM provisioning
- Memory: you and authorized people only
- Every access traced, instant revocation
Zero public training. Personal memory, decision models and graphs stay your IP — in your own cloud tenancy.
Hot
Wherever one expert’s call is the product — and the bottleneck.
- Hedge funds and asset managers
- RIAs and family offices
- Investment committees
- Strategy and operations boutiques
- IT and implementation consulting
- HR and change advisory
- Mid-size law firms
- In-house legal teams
- Regulatory and compliance practices
- PE-backed CPA platforms
- Tax and audit review
- Advisory and transaction services
- Commercial underwriting
- MGAs and specialty carriers
- Claims and reinsurance
- Founder-led companies
- CEO and chief of staff office
- PE portfolio leadership
US headcounts: BLS Occupational Outlook Handbook, 2025 employment (management analysts; accountants and auditors; personal financial advisors + financial analysts; insurance underwriters; chief executives) · ABA Profile of the Legal Profession 2025.
Market size
Market, sized bottom-up from senior experts.
BLS Occupational Outlook Handbook 2025: management analysts 1,077,100 · accountants and auditors 1,595,200 · personal financial advisors 299,400 · financial analysts 443,100 · insurance underwriters 125,600 · chief executives 291,600. ABA Profile of the Legal Profession 2025: 1,374,720 lawyers. US only.
GTM
Consulting-led Pilot and further SaaS Platform Expansion.
Design partner
- map one high-value workflow
- build the first Doubles
- set trust + governance rules
Services revenue
Pilot team
- per-Double seats
- workflow simulator
- internal expert Double graph
Software + services
Firm-wide layer
- firm-wide Double teams
- released workflows
- client- and counterparty-facing action
Platform ARR
services-ledrecurring platform revenue →
Unit economics & returns
70% gross margin, 4.9× return for the buyer.
Vendor economics · one Double, one year, at scale
Buyer return on investment
4.9× return on the $25k license
Year 1 runs near 55% margin while calibration is hands-on; 70% is the target once rehearsal is automated.
Plan assumptions. Benchmarks: AI product gross margin, projected 52% average in 2026 (ICONIQ) · enterprise CAC payback, 18–24 months (OpenView 2023) · Radford Global Comp Database (2025) · McKinsey managerial time analysis.
Team
The team behind Digital Double.
Leadership & engineering
Alex Stolyarik
CEO · Managing Partner
- 25 years in Gen & Physical AI, XR and Digital Twins
- Leads Digital Double at Stanford’s AIRE and LYTICS labs
- Two exits · CEO of a $7.4B multinational at its LSE IPO
- Advises Stanford SAL · NSF SBIR grant · GSV Elite 200
- Degrees from MIT, Stanford and Harvard Business School
Engineering & Biz Dev
Ivan Manzhetov
Chief AI Engineer
Richard Popov
Lead Front-End Engineer
Alexey Dyakov
Senior Back-End & Voice AI Engineer
Lana Kara
Account & Business Development
Advisors & Business Associates
Sudeep Badjatia
CEO & Chief AI Architect, Valutics
- Advises Fortune 100 on AI
- Cloud patent holder · VC advisor
- Cornell MBA
Chinat Yu
Founder, Quest2Learn
- ex-Microsoft Research, gen AI
- Stanford LDT · MLH Top 50
- CS, Johns Hopkins
Li Jiang
Director, Stanford AIRE Program
- Teaches robotics & AI at Stanford
- CES Best of Innovations winner
- PhD, McGill
Dr. Paul Kim
CTO & Associate Dean, Stanford GSE
- Designs learning technologies
- National ed-tech advisor
- Saudi Arabia · Rwanda · Uruguay
John Mitchell
Professor of CS, Stanford · HAI
- ex-Vice Provost · ex-CS Chair
- 250+ papers · 30k+ citations
- PhD, MIT
Next step
The pilot, in three numbers. Measured four ways.
What we measure
Decision latency
days → hours on delegated decision types
PM and analyst hours returned
time back for research and positioning, per desk
Meetings removed
decision meetings that never need to happen
% decisions delegated
share released to act with sign-off or on its own
The ask
The ask: $1.5M pre-seed, 18 months.
Appendix · Architecture
Architecture.
Appendix · Methodology
Research-backed foundations.
Critical Decision Method
Developed by Gary Klein for high-stakes fields — firefighting, critical care, aviation. Captures the cues, trade-offs and risk thresholds behind real critical incidents, not hypothetical questionnaires.
CoALA cognitive architecture
Grounds the Double in structured working memory, long-term episodic recall and policy-bound action — so authority can’t drift (Sumers et al., 2023).
Generative agents
Persistent memory, retrieval and reflection keep a simulated person coherent over time — the basis for Doubles that remember what their host has seen (Park et al., 2023).
Cognitive Task Analysis
Structured interviews and observation that surface the tacit knowledge experts can’t easily put into words — the mental models, cues and strategies behind their calls (Crandall, Klein & Hoffman, 2006).
The bottom line
Human judgment,
turned into software.
Digital Double captures how a real person decides, proves that model in simulation, then works in coordination with other people’s Doubles.