Before
- Decision waits for the calendar.
- A few experts become the queue.
- Context is reconstructed from documents, threads, and memory.
- Governance arrives after the work.
- The question goes stale while the room assembles.
THE BEFORE -> AFTER
Regulated enterprises are stuck at meeting speed. WisdomTwin is building the path to governed AI-native speed.
Regulated enterprises still lose time waiting for trusted judgment. WisdomTwin is being built to shorten that decision loop while preserving governance and human authority.
From meeting speed -> governed AI-native speed.
Raising USD $1 million pre-seed via a post-money SAFE. Capital raised to date: USD $0. No outside capital.
These are intended operating changes.
The operating system changes.
Intended operating state
- Relevant judgment is available while the question is live.
- Evidence and limits travel with the decision.
- Escalation is built into the workflow.
- A named human keeps authority.
- Scarce experts focus on exceptions instead of repeating the same determinations.
These are intended operating changes.
Five shifts define the value.
Decision access
BeforeWaits for expert availability.
AfterRelevant role judgment available in the live workflow.
Context
BeforeReconstructed every time.
AfterEvidence and decision context travel together.
Governance
BeforeReview is a separate step.
AfterPermissions, review, and escalation sit in the decision path.
Expert time
BeforeExperts repeat routine determinations.
AfterExperts can focus on exceptions and high-judgment cases.
Operating speed
BeforeCalendar-bound.
AfterDesigned to move toward governed AI-native speed.
After states are design intent, not measured deployed results.
Investment thesis
Decision latency is the hidden operating tax.
- Work queues behind availability rather than evidence.
- Revenue, approvals, bids, reviews, and exceptions can stall while context is reconstructed.
- Scarce senior judgment is repeatedly consumed by the same classes of questions.
- Governance becomes a delay when it is bolted on after the decision.
- A governed decision loop can change throughput without removing human accountability.
This is the investment thesis, not a measured customer result. WisdomTwin publishes no ROI, no time savings and no customer outcomes.
Why now
AI made answers fast. Enterprises still decide slowly.
- Model capability has improved enough that role-scoped decision support is worth evaluating when constrained by authorized evidence.
- Regulated deployments require careful attention to provenance, access boundaries, retention, and human review.
- Private cloud, on-premises, and air-gapped patterns can be evaluated during pilot scoping.
- Our product thesis is that the next bottleneck is governed decision speed, not generation.
The next bottleneck is not generation. It is governed decision speed.
THE MECHANISM
WisdomTwin is how the organization reaches the after state.
WisdomTwin is being built so an authorized decision can carry the relevant role judgment, its evidence, its limits and its escalation path in one governed workflow, with a named human still deciding.
- Authorized evidence
- Role-specific governed judgment
- Live governed decision workflow
- Human decision or escalation
One-Press Huddle · Role-specific Wisdom Twins · Trust Layer · Ingest -> Twin -> Operate
A Wisdom Twin is role-specific governed judgment, not a replica of an individual and not autonomy.
Where to start
Start where waiting is expensive. Expand where judgment repeats.
Entry is one high-consequence role in a regulated enterprise whose determinations recur and keep queueing behind the same scarce judgment.
- One critical role
- Recurring decisions
- Governed decision loop
- Adjacent roles
- Broader enterprise operating layer
No traction, customer count, pipeline or market size is claimed on this page.
WHAT COMPOUNDS
The decision system is designed to get richer as the organization captures how it actually decides.
Decision history
Structured precedent accumulates instead of dispersing into threads and memory.
Role context
Thresholds, exceptions and escalation patterns become explicit.
Governance context
Policy, permissions and authority travel with the decision.
Institutional embedding
More recurring decisions can use the same governed operating layer.
Our thesis is that the durable value is the governed institutional judgment system around the model.
This is a design thesis. No network effects, retention or compounding results are claimed.
Current stage
Where WisdomTwin is now.
WisdomTwin is pre-revenue, with a working founder-built product across five synthetic industry scenarios and controlled pilots launching in September 2026.
Demos, pipeline, applications, projections and other activity are not customer deployments, traction, or revenue. Synthetic product demonstration. No production customer data.
The next milestone is controlled pilot validation.
Planned business model
How the transformed operating state is monetized.
- Planned enterprise software contracts, likely combining annual software subscriptions with implementation and private-deployment services. Pricing and packaging will be validated through pilots and are not yet final.
- The intended path is controlled pilot validation on one recurring decision loop, then expansion across roles and decision types inside the same organization.
- Nothing on this page is a price, quote, packaging commitment or paid-pilot economic term.
Use of funds
The pre-seed funds the path from synthetic demonstrations to controlled pilots.
- Engineering of the governed decision workflow: One-Press Huddle, role-specific Wisdom Twins and the Trust Layer.
- Controlled pilot validation with early design partners, including security and governance review.
- No specific allocation percentages are stated on this page.
Team
Founder-led company.
Founder-market fit is operating systems and governance: turning how an organization actually decides into a system that keeps evidence, permissions and human authority in place.
Roman Bodnarchuk
Founder and CEO
Roman Bodnarchuk built WisdomTwin's current synthetic demonstrations end to end and leads product, governance design and enterprise conversations.
The raise
Raising USD $1 million pre-seed via a post-money SAFE.
- Capital raised to date: USD $0. No outside capital.
- No valuation cap, discount, MFN, pro rata term or closing date is stated on this page.
- No commitments, investors or partnerships are claimed.
Invest in the move from meeting speed to governed AI-native speed.
The product is the mechanism. The transformation is the value: decisions that no longer have to wait for the room before trusted judgment can enter the workflow.