Vinfotech has officially launched AI Market Creator and AI Market Resolver. Consequently, these two products now automate prediction market operations, right from question generation to final settlement. Furthermore, AI Market Creator converts a single operator brief into thousands of original markets every month. Meanwhile, AI Market Resolver settles these markets accurately. It relies on trusted sources, confidence checks, and source cross-verification. Additionally, it maintains a complete audit trail for every decision made.
Both products are available through a managed subscription. Alternatively, operators can choose a full source code license. Moreover, both tools integrate smoothly with prediction market platforms built on other technologies.
What Truly Determines Prediction Market Success
Trading technology often gets the spotlight. However, the real deciding factor is the quality of questions users see. Therefore, timely and accurately settled questions keep users engaged.
Previously, operators relied on two approaches. Both, however, had clear limitations. The first involved editorial teams writing markets manually. This method produced excellent content but failed to scale. As a result, breaking news often went unnoticed overnight. Additionally, costs increased with every new market added.
The second approach involved copying larger platforms. Although faster, this strategy offered no real differentiation. Consequently, users had little reason to choose one platform over another.
Vinfotech, therefore, created a third solution. AI Market Creator generates original markets continuously and in multiple languages. Meanwhile, AI Market Resolver ensures accurate, evidence-based settlements. Together, these tools help operators build a distinctive, original catalogue.
“A prediction market platform is its questions,” said Akshay Jain, CEO of Vinfotech. “You can hire a brilliant editorial team and cap yourself at what they can write in a day, or you can copy the big platforms and give users no reason to pick you. We wanted a third answer, where the catalogue is original, the volume is unlimited and the operator still decides exactly what gets made.”
AI Market Creator: One Brief, Unlimited Markets
Operators first configure the engine with a category and language. Then, editorial instructions guide the process. Subsequently, an AI pipeline orchestrator runs multiple generation engines simultaneously. As a result, live signals convert into resolvable market questions continuously.
By default, full autopilot handles everything. This includes discovery, drafting, quality checks, and publishing. However, sensitive categories can enable a review queue instead. This allows human approval before markets go live.
Notably, generation happens natively in any language. Therefore, titles, options, and resolution rules appear directly in the target language.
Operator-Defined Rules Ensure Control
Vinfotech designed automation with strict boundaries. Every generation cycle follows operator-defined rules.
Market structure is different first. Engines can create binary YES/NO markets or multi-option markets. Secondly, outcome logic is different. Some markets with more than one option can have one or more winners. Thirdly, limits on resolution date allow catalogs to be associated with specific timeframes. Finally, the category and language settings are compliant with the needs of each operator.
AI Market Solution: Evidence-Based Settlement
After a market opens, the Resolver designs its verification strategy. At first checks are few and far between. But they increase in frequency as settlement time approaches. When an event happens, the Resolver collects data from authoritative sources. Then, it timestamps and saves each piece of evidence. Only afterward does it propose an outcome with proof attached.
Clear cases settle automatically. Meanwhile, ambiguous situations require operator review. Every market displays its status across nine lifecycle stages. Thus, transparency remains consistent throughout the process.
Accuracy Comes First, Always
Every safeguard follows one principle: act only with overwhelming evidence.
A strict confidence threshold governs settlements. Consequently, borderline cases route to human review instead of automatic payout. Additionally, independent sources must agree before settlement occurs. Any conflict pauses the process for human verification.
Importantly, the system can acknowledge uncertainty. Rather than forcing a decision, it holds, escalates, or voids the market. Operators, meanwhile, retain full override authority. Every outcome remains reviewable and correctable.
Consistency matters equally. An automated resolver never tires or rushes. Therefore, market ten thousand receives the same scrutiny as market one. This reliability doesn’t exist in manual settlement processes at scale.
Continuous Improvement With Every Cycle
Individually, each product solves a specific problem. Together, however, they transform daily operations. Operators brief the engines once. Overnight, markets appear across all configured categories. Then, events occur, and the Resolver gathers evidence automatically. Clear cases settle instantly. Ambiguous cases arrive pre-analyzed for quick review.
Consequently, the team’s role shifts significantly. Instead of writing markets manually, they now steer the system. They adjust briefs, flag issues, and approve edge cases.
Moreover, this steering compounds over time. Every reviewer flag becomes part of the system’s editorial memory. Therefore, each new cycle improves accuracy and relevance. Three months later, review queues shrink significantly. This happens not because standards lowered, but because the engines learned operator preferences.
“The interesting part is not what the engines do on day one,” said Jain. “It is what they do on day three hundred, after they have absorbed a year of your team’s judgment. By then you are not running a copy of somebody else’s catalogue. You are running something nobody can reproduce, because it was trained on decisions only your team made.”
Flexible Deployment and Ongoing Development
Both products support flexible deployment models. Operators can choose managed subscriptions or full source code licenses. Additionally, both tools integrate with existing prediction market platforms. New operators can also access these features through Vinfotech’s white-label platform.
Furthermore, active development continues across both products. Training layers, algorithms, and operator controls keep expanding. Subscription-based operators automatically receive these updates.
“This is not a category where anyone gets to declare the problem solved,” said Jain. “Market structures get more complicated, sources change, edge cases arrive that nobody modelled. We would rather tell an operator that this is an ongoing journey and that they can either travel it with us on a subscription or take the code and travel it themselves.”
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News Source: EINPresswire.com
