In today’s fast-paced world, time is of the essence. This is especially true in research and academia, where data extraction can be a time-consuming and tedious process. That’s where Reliant comes in. This innovative startup specializes in using artificial intelligence (AI) to automate data extraction work, making the process faster and more efficient.
Reliant’s core product, Tabular, is based on an LLM and other proprietary techniques. What sets Tabular apart from other models is its ability to extract data with zero errors. This is a game-changer for researchers and academics who rely on accurate data to make informed decisions.
The potential applications of AI in this way are vast. By automating data extraction, researchers can spend more time analyzing and interpreting data, leading to faster breakthroughs and discoveries. This could accelerate science across highly technical domains, from medicine to engineering.
Investors have taken note of Reliant’s potential, funding an impressive $11.3 million seed round. This is a testament to the value of AI in research and academia, and the potential for startups like Reliant to revolutionize the industry.
In conclusion, Reliant is a startup that is changing the game in research and academia. Their use of AI to automate data extraction work is a game-changer, and their core product, Tabular, is considerably more effective than other models in extracting data with zero errors. With the potential to accelerate science across highly technical domains, it’s no wonder that investors are taking notice. Reliant is a company to watch in the coming years as they continue to innovate and push the boundaries of what’s possible in research and academia.
