Product

Unibright posted a recap of the Baseline-as-a-Service Demo Day we hosted on December 10, 2020. Check out the full article and interactive landing page.

Provide is hosting the first Baseline-as-a-Service Demo Day on December 10th.

After a productive year of work on the Baseline Protocol and growing customer demand, Provide and Unibright are consolidating their enterprise technology stacks under a single entity. The unified offering will create a low-code, end-to-end integration suite and enable a new age of interorganizational business process automation using public blockchain as the backbone.

Provide and Chainlink to make Chainlink oracles even easier for enterprises and enable a new class of use-cases by way of the Baseline Protocol.

Baseline community leaders Provide and Nethermind have collaborated to bring state-of-the-art key management for privacy and messaging use-cases to the Nethermind .NET Ethereum client.

Blockchain innovators Provide and Unibright team up outside the Baseline Protocol Initiative to produce integrated no-code, low-touch devops toolset for blockchain based on emerging standards.

Several times now, systems for micropayments tried and failed to capture the market because of steep fees or impractical digital currencies. However, with the advent of blockchain and improved digital payments architecture, micropayments in real currencies are now possible. This post explains how modern payment rails enable micropayments that work in today’s world.

Provide is packaging several of our tools to form our new message bus service. The Provide message bus is a low-code distributed systems architecture for publishing arbitrary data messages to a distributed filesystem and seamlessly anchoring the proof-of-existence for each message on a configured public or permissioned blockchain. Provide’s message bus service will be available soon.

The Provide Payments engineering team just added two new services for Payment Hubs and KYC to the Provide Platform.

Provide has rolled out an alpha version of its highly-configurable Machine Learning (ML) Transaction Filtering product that perform real-time stream processing with sub-5ms overhead during transaction ingestion.