Amsterdam-based Tidalflow, an AI startup, announced the launch of the company and its first funding round, which has raised $1.7M (approximately €1.6M).
The investment is co-led by Gradient Ventures (Google’s AI-focused venture fund) and Dig Ventures (operated by MuleSoft founder Ross Mason), with additional backing from Antler.
The Dutch company will use the capital to accelerate the development of its platform, designed to seamlessly integrate third-party software within Large Language Model (LLM) ecosystems via plugins.
This integration enables AI to utilise software to its full potential by transforming knowledge into action.
What does Tidalflow solve?
As AI becomes increasingly proficient at utilizing software, businesses require a unified approach to adapt without compromising on reliability.
Here’s where Tidalflow’s platform provides the necessary tools for this adaptation, allowing businesses not only to keep up with technological advancements but also to monetise them.
“‘Software is eating the world’ as Marc Andreessen proclaimed in 2011. While this still holds true, AI could use software more efficiently than humans,” says Coen Stevens, CTO and co-founder of Tidalflow.
“Tidalflow ensures that AI lives up to that potential and offers businesses reliable infrastructure to capitalize on this shift and not be left behind,” adds Stevens.
Tidalflow: Bridging the gap between Software and LLMs
Founded by Coen Stevens, Sebastian Jorna and Henry Wynaendts, Tidalflow’s plugin lifecycle management platform allows software businesses to develop, test, monitor and monetise their product instances for compatibility with LLMs, opening new distribution channels and revenue streams.
“Much like the iPhone ushered in a new era for mobile-friendly software in 2007, we’re now at a similar inflection point, namely for software to become LLM-compatible,” says Sebastian Jorna, CEO and Co-founder of Tidalflow.
“Tidalflow serves as a catalyst to this new supercycle by providing an end-to-end platform for businesses to create, test and manage that LLM-instance of their product,” he adds.
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