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Finally, a way to measure Your LLM Responses

Root Signals lets you create, optimize and embed automated evaluators into your code, so you can continuously monitor the behavior of LLM automations in production.

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Trust, Control, and Safety:
The Big GenAI App Challenges

Trust

LLMs are unpredictable & hard to trust

The unpredictable behavior of LLMs can create risks to your reputation and cause compliance issues.

Control

Shipping to production is risky and costly

Unclear LLM performance can lead to delays in launching your product and drive up development costs.

Safety

Challenges to control LLM behaviour & quality

Managing how your model behaves and measuring its quality is tough, requiring specialized knowledge and significant time.

Let's face it. You don't really know if your LLM features are delivering quality results.

1

You're relying on experts to do "vibe checks,” but they are biased and slow.

2

You've tried open source evaluators, but they are too generic for your application.

3

You've embedded basic guardrails, but they're a partial solution at best.

GenAI Apps raise complex questions...

Can you trust your GenAI application?

Trusting your application can be challenging due to unpredictability of LLMs, potential reputational risks, and incompliance with current regulations.

Can you safely ship your App to production?

Shipping your GenAI application to production can cause a lot of delays and increase development costs due to unclarity of LLM performance.

Can you control LLM's behaviour & measure quality?

Evaluating how your models perform, tracking changes, and controlling how it behaves can be a difficult and time consuming task that requires hard data science knowledge.

Get visibility into the “black box” of LLM features — so you can build better products.

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Platform

Leverage evaluations to optimize LLMs, judges, and prompts for the best balance of quality, cost, and latency.

Ensure LLM workflows deliver quality outputs, prevent hallucinations, and maximize accuracy.

Continue to improve your AI-powered products in production.

Flexibility for any LLM and tech stack

LLM Agnostic

Adaptable to any stack

With Root Signals, we went from 65% to 83% accuracy
FinTech Company

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot function
Software Scaleup

How it works?

STEP 1

Build use case specific AI evaluators.

Build unique combinations of context-specific testing criteria that go beyond just the generic factors of accuracy, relevance, and helpfulness.
Build Custom Evaluators
STEP 2

Test your AI automations against multiple LLMs.

Score each individual AI automation against every potentially relevant LLM, so you can select the best LLM for your specific use case.
Test Automations
STEP 3

Embed evaluators into your code to monitor AI in production.

With a few lines of code, you can continuously evaluate AI performance and identify issues that impact product quality.
Get Started
STEP 2

Test your AI automations against multiple LLMs.

Score each individual AI automation against every LLM model, so you can select the best LLM for your specific product use case.
Test Automations
STEP 3

Embed evaluators into your code to monitor AI in production.

With a few lines of code, you can continuously evaluate AI performance, quickly identifying issues that impact product quality.
Get Started

For companies with AI at the centre of the roadmap

GenAI Companies

Build scalable GenAI applications your customers will love and trust.

Enterprises

Optimize LLM outputs to automate even the most critical business processes.

LLM Consultancies

Become a partner your customers can trust to take their LLM applications to production.

Loved by AI Teams Worldwide

First we considered to build evaluations ourselves, but after testing Root Signals, it no longer made any sense.
AI Scientist
GenAI Scale-up
Root Signals was the missing link between our LLM proof-of-concepts and production use at scale. Their evaluation engine was crucial for building the trust in our LLM applications.
CEO, Founder
Global SaaS Solution
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Eero Laaksonen
CEO at Valohai
With Root Signals calibration system, we improved our key evaluator metrics from 0.1 to 0.9 in just a couple of days.
CTO
GenAI Start-up
We could spend a lot of time building LLM (evaluation) infrastructure in-house, or buy Root Signals and focus on use cases and business value. You may guess what we decided to do.
Head of Digital
Large Enterprise
Our customers urged us to solve LLM "hallucination" issue one way or another. With Root Signals we get all stakeholders including business consultants, developers, data scientists and test engineers to solve this issue together.
AI Business Lead
Global IT Consultant Company
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Eero Laaksonen
CEO at Valohai
We went from 0.56 to 0.84 average human approval score after adopting Root Signals. We tested multiple approaches and technologies, but only this platform got us systematically to the level of quality the chatbot users expected.
Team Lead
Enterprise, Banking & Finance
With Root Signals calibration system, we improved our key evaluator metrics from 0.1 to 0.9 in just a couple of days.
CTO
GenAI Start-up

Loved by AI Engineers Globally

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot function
Software Scaleup
Chatbot Solution
We didn’t believe when we first saw the demo that we can utilize LLMs to evaluate our LLMs especially building custom evaluators for our unique use cases in agriculture.
Emre Tunali
Co-Founder   I   Agrovis.io
With Root Signals, we went from 65% to 83% accuracy
Financial Institution
ML Teams
About Root Signals

Root Signals makes it easy for tech companies and enterprises to evaluate and control GenAI-powered applications.

Best-in-class Evaluation Engine

Add real-time measurability to your LLM apps with 3 lines of code. 50+ built-in evaluators help you to prevent hallucinations and maximize consistency, relevance, and quality.

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Build custom evaluators

Build your own evaluators optimized for your use cases and business targets. Use calibrator feature to ensure they stay up-to-date while the models keep updating.

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Current Openings

Software Engineer

We are seeking a skilled Software Engineer to develop and maintain our Fintech SaaS platform. The ideal candidate will have experience in full-stack development, a strong understanding of financial systems, and a passion for innovation.

Remote

Full-time

Financial Analyst

We are looking for a Financial Analyst to join our team. The successful candidate will analyze financial data, generate reports, and provide insights to support strategic decision-making.

Remote

Full-time

Customer Success Manager

We are seeking a Customer Success Manager to ensure our clients achieve maximum value from our platform. The ideal candidate will have excellent communication skills, a customer-centric approach, and experience in the Fintech industry.

Remote

Full-time

Software Engineer

We are seeking a skilled Software Engineer to develop and maintain our Fintech SaaS platform. The ideal candidate will have experience in full-stack development, a strong understanding of financial systems, and a passion for innovation.

Remote

Full-time

Financial Analyst

We are looking for a Financial Analyst to join our team. The successful candidate will analyze financial data, generate reports, and provide insights to support strategic decision-making.

Remote

Full-time

Customer Success Manager

We are seeking a Customer Success Manager to ensure our clients achieve maximum value from our platform. The ideal candidate will have excellent communication skills, a customer-centric approach, and experience in the Fintech industry.

Remote

Full-time

Root Signals Evaluators Whitepaper

Read Whitepaper
See All

Root Signals Blog

October 17, 2024

LLM as a Judge vs. Human Evaluation
The traditional reliance on human experts for quality assurance is being challenged by a compelling alternative: Large Language Models (LLMs) as judges.

September 4, 2024

Root Signals raises $2.8M to accelerate GenAI business adoption by having AI watch AI
Root Signals, a startup based in Helsinki and Palo Alto specializing in generative AI (GenAI) measurement with LLM-as-a-judge techniques, has raised $2.8M.

August 15, 2024

The Role of “LLM-As-A-Judge” in GenAI App Evaluation
Discover how 'LLM-As-A-Judge' scales AI evaluation, ensuring accurate and relevant responses without extensive manual oversight.

August 6, 2024

EvalOps 101 – Building the Bridge from LLM Prototypes to Production
EvalOps =def. the set of practices to automate the semantic alignment of a strong AI automation ("operator") with the norms, policies, and KPIs of specific human communities and organizations, by using another AI model ("judge").

Get Started with Root Signals

Root Signals makes it easy for tech companies and large enterprises to evaluate and control GenAI-powered applications.
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PL 167, 00121 Helsinki - Finland

Root Signals Inc
1111B S Governors Ave Ste 6574
Dover, DE 19904 - USA

470 Ramona Street,
Palo Alto, CA, 94301-1707 - USA

hello@rootsignals.ai
Copyright © Root Signals

With Root Signals, we went from 65% to 83% accuracy
FinTech Company

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot function
Software Scaleup

What makes us different?

Detailed Scoring
vs. Simple Blocking

While others focus on blocking unwanted outputs, we excel in scoring and evaluating LLM behavior, providing a more nuanced and insightful measure of performance.
Learn More

Readable Metrics

Unlike other tools that offer only technical outputs suited for ML experts, our platform provides clear and understandable evaluation metrics (e.g. truthfulness, safety, relevance, context recall, +30 others) making it easy for anyone to assess and improve LLM performance, not just experienced data scientists.
Learn More

Custom Evaluators

Root Signals allows you to easily build high-quality, LLM-based custom evaluators tailored to your specific niche use case that stay up-to-date as your models evolve and provide continuous feedback to consistently enhance your GenAI app’s performance.
Build Custom Evaluator