Our ambition is a persistent startup intelligence: a system that remembers the context of a decision, helps examine it and makes the next proposal more useful when evidence changes.
A useful system should understand more than the latest question. It should retain the objective, available resources, evidence, rejected alternatives and previous outcomes that give the question its meaning.
WONTED’s direction is a connected company record in which a changed input can be traced to the decisions and materials it affects. A new supplier quote should prompt a review of the relevant financial assumption without erasing an earlier customer observation.
The existing product provides foundations. The longer-term capabilities below are a direction to develop and evaluate, rather than a promise that every feature is live.
Guided company context, reviewed inputs, original business tools, versioned proposals, Decision Contracts, linked experiments and reported outcomes. Optional model review depends on actual readiness and capacity.
Improve assisted questions, dependency comparisons and the preparation of useful tests. Measure whether a Council corrects consequential errors compared with one strong model using the same evidence.
Explore relevant change monitoring and recoverable workflows only where connections, approval scopes and resource limits are established. Greater autonomy should follow demonstrated reliability and remain reversible.
For one company, learning means using recorded observations to reconsider the next step while preserving the original prediction. For the system, improvement means evaluating candidate prompts, models or routing changes against appropriate baselines, then releasing supported changes with versioning and rollback.
A record of business outcomes can become useful only when its context and limits remain visible. Incomplete observations, abandoned tests and self-selection affect what can be concluded. Cross-company work requires explicit participation choices; the current optional aggregate mechanism does not establish a causal business benchmark.
The founder should see the current question, the important uncertainty, the resources at stake and the next useful action. Deeper evidence, model findings, tools and history should help explain that action, without turning the first visit into an infrastructure dashboard.