Root Signals Secures $2.8M to Scale LLM-based GenAI Platform for Safe Business Use

A GenAI startup based in Helsinki and Palo Alto called Root Signals got $2.8M to improve its LLM-based platform. This will let businesses safely test and scale generative AI apps for real-world use.

A startup called Root Signals, which is based in both Helsinki and Palo Alto, has raised $2.8 million to help businesses use generative AI (GenAI). Business Finland helped lead the funding round, which was led by Angular Ventures.

Root Signals is an expert in LLM-as-a-judge techniques and offers an AI control tool that helps companies precisely measure, control, and watch over GenAI applications. The company wants to use the money to improve the growth of its platform, do more marketing and sales, and make its model even better.

Root Signals wants to help businesses get past the problems that come with using GenAI in real life by making sure that AI outputs are reliable, auditable, and scalable.

GenAI is getting a lot of attention around the world, but most businesses haven’t been able to move their designs from testing to production yet. So that GenAI outputs can be measured and trusted, Root Signals has made an AI control platform built on LLM judges. Companies can get the most out of their GenAI applications and agents in the long run if they are built on a stable base from the start.

How the LLM-as-a-Judge Platform Works

GenAI-powered business apps are now being sent to production safely thanks to guardrails that stop unwanted behaviours. This method keeps risks under control but doesn’t give you many ways to maximize worth. Instead, many people are realizing they need to carefully look over the AI results using a long list of data and automated tools that act like a human reviewer.

In the end, this kind of complicated work can only be done by other AI models. This method is often called LLM-as-a-judge. It lets you measure things like the severity of dreams, the usefulness of answers, or compliance with regulations. But the AI systems we have now don’t do enough to deal with the problems of complexity, cost, and unreliability.

EvalOps is a long-term, scalable way to do this. Root Signals makes it simple to create and run these complicated tests. This means that GenAI apps used in production can be tracked, trusted, checked, and used again.

Independent software companies that offer GenAI-powered vertical bots for their specific areas of expertise, AI teams of fast-moving incumbent industry players looking to gain a competitive edge, and LLM software consultants have been the most eager to use Root Signals.

Root Signals lets businesses quickly create specific metrics that make it easy to compare one model to another. This opens up a moral way to switch from big models like GPTs to smaller, faster on-premise models, which is very important for businesses in controlled fields.