The financing round was led by Plural with participation from existing investors and prominent angel backers.
"I’m ecstatic to team up with Plural as we continue to reimagine the recruiting ontology from first principles. By placing conversations at the nucleus of our platform, we’re leveraging state-of-the-art AI to operationalise the latent context within these interactions. This enables us to build AI agents that augment and automate hiring workflows in ways previously unimaginable."
The seed round was led by Lightspeed Faction and Tagus Capital to support the continuous development of the company machine learning infrastructure.
"With FLock, now anyone can contribute to AI development by offering compute, data, or training scripts; the barrier to participation is much lower. This results in community-owned models built by the many, not just the few, with data contributors being fairly rewarded."
The pre-seed round was led by data and AI specialist fund J12 with backing from angels and Twin Path Ventures.
"Blue chip lawyers’ time is extremely valuable, and yet too much of it is taken up by manual tasks such as WIP list analysis, scope tracking and budget monitoring, and the associated routine client comms. We believe that in 2024, machines are perfectly equipped to handle those tasks whilst keeping the lawyer firmly in the loop; they also benefit from the insights gleaned from law firms’ vast historic time and billing datasets that are ordinarily not discernible to humans."
The seed round was co-led by UCL Technology Fund, Clean Growth Fund, XTX Ventures, and Dorilton
"AI computational needs are increasing by 10 times every 18 months. This leads to distributed training and inference across large numbers of xPUs. Collective data movement across the servers in the data centre becomes a bottleneck which in turn limits the training and inference completion time. This requires a fundamental shift in the co-design of next generation networked systems."
