Vinfotech launches AI tools to automate prediction market creation and settlement

Vinfotech has launched AI Market Creator and AI Market Resolver to automate prediction market operations from question generation to settlement. The tools are designed to help operators scale faster, keep markets original and settle outcomes with an evidence trail.

Why it matters: - Prediction market operators need a way to scale market creation without relying on small editorial teams or copying competitors. - Vinfotech is pitching automation that covers both sides of the workflow: generating questions and resolving outcomes. - The company says the products can help operators build a more distinctive catalogue and reduce manual settlement work.

What happened: - Vinfotech launched AI Market Creator and AI Market Resolver on Sept. 7, 2026. - AI Market Creator turns one operator brief into thousands of original, resolvable markets a month. - AI Market Resolver settles markets using trusted sources, a confidence gate, source cross-checking and an audit trail. - Both products are available as a managed subscription or a full source code licence. - Both products integrate with prediction market platforms built on other technology.

The details: - Operators give AI Market Creator a category, language and editorial instructions. - The system uses AI and crawlers to turn live signals into drafted market questions around the clock. - Full autopilot is the default, with discovery, drafting, quality checks and publishing running without human intervention. - Operators in regulated or sensitive categories can route candidates to a review queue before publication. - The generation pipeline can produce titles, options, deadlines and resolution rules in the target language rather than translating them afterward. - Operators can set market structure rules for binary yes-or-no markets, multi-option markets or both. - Operators can also set outcome logic, resolution date limits, category, language and editorial scope. - AI Market Resolver registers each open market and plans which sources will decide it and when to check them. - The Resolver collects evidence from official pages, data feeds and trusted news, then stores timestamps and extracted snippets before proposing an outcome. - Clear cases settle automatically, while ambiguous cases wait for a one-click operator decision. - Every market shows a visible operational state across nine lifecycle stages. - The Resolver applies a strict confidence gate and cross-checks independent sources before settling. - The system can abstain, hold, escalate or void instead of forcing a call when evidence is weak. - Operators can review, correct and re-settle any outcome. - Every settlement includes an audit trail with the evidence behind the decision. - Vinfotech says both products keep improving over time through a training layer and operator feedback. - The tools are part of Vinfotech's white label prediction market platform and can also plug into third-party stacks.

Between the lines: - The launch targets a basic problem in prediction markets: the question itself often determines whether users see a platform as useful, timely and trustworthy. - Vinfotech is framing automation as a third path between hand-built editorial desks and copied market catalogs. - The company is also arguing that automation should learn from operator feedback instead of drifting away from it. - The focus on audit trails and human override suggests the products are aimed at operators that need governance and dispute handling, not just speed.

What's next: - Vinfotech says the products are on an active development path, with training, algorithms, settlement structures and operator controls continuing to expand. - Subscription customers will receive updates as they ship. - Operators can deploy the products through Vinfotech or take the source code and host the system themselves. - The company also offers the products as part of its white label prediction market platform for teams starting from scratch.

The bottom line: - Vinfotech is betting that prediction market operators want more than faster production — they want automation that can generate original questions, resolve them with evidence and improve with use.