Inaccuracies (bias, hallucination, non-determinism, etc.) from AI models, stemming from flawed data, imperfect prompts, or misinterpretations, can cause significant harm and erode trust across many industries. The impact ranges from just not quite correct and inconvenience in less critical applications to serious financial losses, safety risks, legal liability, and discrimination in high-stakes fields like healthcare, finance, and autonomous vehicles. In an enterprise, a minor error/deviation at each step in a multi-step agentic workflow can lead to a huge drift from the expected final outcome. 

We are an early-stage AI startup assembling a world-class team to shape the future of robust AI. We are researching, experimenting, and developing practical solutions to make AI applications robust. Currently, we are a small team of experienced engineers and researchers passionate about making AI usable in mission critical applications. If the problem resonates with you, and you want to be part of the team, check our Careers page.


GreenSand AI

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GreenSand AI

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