Blokotech has launched BlokoPredict, a white-label prediction markets platform designed to help betting operators, media companies and fintech businesses enter the sector without building their own trading and settlement infrastructure.

The solution brings pricing, trading, settlement and compliance tools together within a single module. It can be deployed as a white-label product or integrated into an existing platform through an iframe.

BlokoPredict uses an LMSR-based automated market maker (AMM) to provide continuous live pricing, allowing users to trade without waiting for a counterparty.

Operators can build their own markets or import markets automatically from supported feed providers. Additional markets can also be introduced through custom webhooks.

Before a market goes live, BlokoPredict subjects it to a moderation process covering the market title, possible outcomes and criteria used to determine the result.

Settlement can be handled automatically or manually, while deposits, trades, fees and payouts are tracked through a double-entry ledger. Role-based permissions and exportable audit logs are also included to support operational and compliance requirements.

The platform offers customisation at tenant level, allowing operators to configure branding, logos, currencies and fee structures. A live dashboard provides visibility over trading volumes, open positions, feed health and settlement status.

A central operations queue gives teams control over market publication, locking, resolution and settlement, while BlokoPredict can operate as a standalone product or alongside Blokotech’s existing technology.

Salvatore Messina, co-founder and CEO of Blokotech, said:

“Prediction markets continue to gain momentum, and operators increasingly want to offer the vertical without having to build the complex trading and settlement infrastructure themselves,” Messina said.

“BlokoPredict packages that infrastructure into a ready-to-deploy white-label solution, enabling operators to launch prediction markets quickly and introduce a new revenue stream without disrupting their existing technology stack.”




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