Bridge the trust gap to deploy production-grade genAI applications.
THE CHALLENGE
Only 10% of enterprises have Gen AI in production, and more than 30% of Gen AI projects are abandoned after POC. The number one reason why companies stall is a lack of trust stemming from:
Models hallucinate, exhibit unsafe behavior, or pose security risks.
Use cases are not adopted and targeted workflows remain unchanged.
Unmonitored usage leads to extensive cloud or vendor bills.
THE SOLUTION
The path to deploying with confidence in production is to systematically evaluate, improve and monitor GenAI systems for performance, safety, and reliability.
With SlymeLab, enterprises can move faster and safer
Use the trusted evaluation and benchmarking system for enterprise-grade GenAI.
Avoid bias, hallucinations, poor accuracy, harmful responses, and malicious behavior.
Keep track of latency and cost and get alerted for any issues or regressions.
HOW IT WORKS
Trust in AI is earned through better data. SlymeLab combines automated evaluations with an expert workforce for human evaluations to build a "Trust Feedback Loop" of evaluation, improvement and monitoring.
Automatically test your GenAI system against auto-generated evaluation datasets as well as against SlymeLab's industry leading proprietary benchmark datasets.
An internal chatbot assisting financial services professionals make better decisions and collaborate more efficiently.
You are outranking 60% of all financial companies in the financial industry
This is how your score has been built
Best performing
Augment our industry best practice rubrics and datasets with custom metrics and datasets tailored for your domain and use case.
Ensure quality control of auto-evaluation with industry-leading, efficient HiTL evaluation for the highest complexity test cases.
Was the source document language identified correctly?
Does the English translation accurately reflect the content?
Does the translation correctly convey the main points?
Does the translation provide clear instructions?
Programmatically turn your evaluations into actions that improve your GenAI systems through RAG optimization and fine-tuning, then see your scores improve over time.
Monitor production traffic to surface quality metrics, issues and alerts. Detect anomalies (e.g. prompts that are not covered by your evaluation datasets) to add them to your test suite.
RISKS
Our platform can identify vulnerabilities in multiple categories.
LLMs producing false, misleading, or inaccurate information.
Advice on sensitive topics (i.e. medical, legal, financial) that may result in material harm to the user.
Responses that reinforce and perpetuate stereotypes that harm specific groups.
Disclosing personally identifiable information (PII) or leaking private data.
A malicious actor using a language model to conduct or accelerate a cyberattack.
Assisting bad actors in acquiring or creating dangerous substances or items.
EXPERTS
SlymeLab has a diverse network of experts to perform the LLM evaluation and red teaming to identify risks.
TECHNIQUES
Stylized input in prompt
Fictionalization & role-play
Encoded input in prompt
Dialog injection
HARMS
Cybersecurity & hacking
Promotion of violence
Dangerous substances & items
Misrepresentation
1000s of red teamers trained on advanced tactics and in-house prompt engineers enable state of the art red teaming at scale.
Extensive libraries and taxonomies of tactics and harms ensure broad coverage of vulnerability areas.
Proprietary adversarial prompt sets are used to conduct systematic model vulnerability scans.
Continuous monitoring of AI-safety developments ensures evaluation methodology remains current.
Active tracking of emerging AI regulations to keep evaluation frameworks aligned with compliance requirements.
"The work SlymeLab is doing to evaluate the performance, reliability, and safety of AI models is crucial. Government agencies and the general public alike need an independent, third party like SlymeLab to have confidence that AI systems are trustworthy and to accelerate responsible AI development."
Dr. Sarah Mitchell
Former Chief Digital and AI Officer, Department of Defense
RESOURCES