Starmind: Human Verification & StarGPT for Reliable Generative AI

Instant Human Verification for Large Language Models

The increasingly clear limitations of large language models (LLMs) in company internal knowledge retrieval underscore the importance of human verification. A recent AI Insight report from McKinsey affirms this, revealing that 56% of early adopters consider inaccuracy the major risk of using Generative AI in a business context. This makes it absolutely critical to quickly and reliably find the right experts to verify, correct, or build upon AI-generated solutions. To meet the pace set by LLMs, human verification must happen rapidly, reliably, and at scale. Starmind addresses this need by offering a unique human verification layer compatible with any LLM.

StarGPT: Quality-Assured LLM with Human Verification

Introducing StarGPT, Starmind's unique take on large language models. StarGPT goes beyond generative capabilities by incorporating an integrated human verification layer, setting it apart from other LLMs. This internal solution operates on quality-assured, company-specific data, ensuring greater reliability and security. Transparency is key: StarGPT is open about the resources used in generating solutions and allows for easy expert verification at the touch of a button. With StarGPT, organizations can trust that their data remains secure while benefiting from both the speed of AI and the reliability of human expertise.

Verification Layer for LLMs

Instant Human Verification for Large Language Models

StarGPT: Quality-Assured LLM with Human Verification

Seeking to Minimize Inaccuracy Risks in Your Generative AI Solution?

Talk to an expert

Case studies

How Hitachi Energy is connecting global teams to knowledge

Crowdsourcing Knowledge Is Achievable With Starmind

Swisscom uses Starmind to create a collaborative, open-book workplace