Razroo | Synthetic Data & AI Simulations

New product reveal next week. Iykyk

New product reveal next week. Iykyk

Using millions of synthetic datapoints and AI simulations this is one of the TOP 100 MOST PROFITABLE SAAS IDEAS. (links in comments)

New AI Assistant feature. Can press cmd + L to pop out the AI assistant chat, so it appears wherever your cursor is. The long-term goal is that AI Assistant can be a walkthrough as well, and follow user/guide them along the user journey.

Millions of synthetic data points, generated by AI, will make your AI smarter using RAG. Seems counter-intuitive but it works, and this video proves why.

We are evolving our mission statement to be a Synthetic Data and AI Simulation Company. Our goal as we currently do, is to offer respective products and APIs for each category.

Community datasets are now public and anyone can view: https://lnkd.in/eVFuMyXm "Just felt right" - whoever worked on this

The first set of analytics from millions of datapoints and thousands of AI simulations. Our research shows we have results simply not available elsewhere. Top 100 Most Profitable Idea. Average potential $50 million ARR in 5 years. https://lnkd.in/ecy67rMb

Razroo | Unified Intelligence Network synthetic data update: - Costs successfully driven down. This wasn't easy, as 15 APIs had to be re-written w/ various performance and cost optimization algorithms. There is a mix and match of various open source AIs helping in this regard(as well as one of our own trained open source AI) - Proprietary analytics with this synthetic data are proving to be successful and novel. So we are on the right track. Now the goal: - Make sure 100% uptime, right now some bugs + improvements that can be made. - The current output is 1000 datasets per day. We are going to need to uptick this to 10k datasets per day(if there's a will there's a way), to make sure analytics truly novel. - Allow the community to contribute synthetic data

Right now at ~1700 datasets. The goal is to achieve 100,000 datasets(and 20,000,000 tickets) before we turn the system on. We will reach 100,000 datasets(and 20,000,000 tickets) by the end of the month. (We've made cost improvements of 60x this past week. Our goal is to achieve 250x.)