Credal.ai

Our customers are analyzing thousands of sales call transcripts in minutes where it previously took weeks. Bulk Analysis is the fastest, most thorough way to get detail-oriented insights out of a collection of documents. Conducting a Bulk Analysis means choosing a collection of documents and defining a set of questions, and then getting an answer to every question for every document with the click of a button. It empowers non-technical users to get more out of generative AI than what can be accomplished with a single LLM call. Read more on our blog! (link in the comments)

Check out analyst coverage from Intellyx on how Credal enables enterprises to build AI applications. Give every employee the ability to create the perfect AI Assistant for their work.

🚀 Exciting news! Credal.ai and MongoDB are empowering enterprises to build, deploy, and scale AI-enriched applications with the launch of the MongoDB AI Applications Program, MAAP #MAAPLaunch Credal helps enterprises across industries build AI tools that understand your MongoDB data, as well as tools like Slack, Google, Microsoft 365, Confluence, Jira, Zendesk and Salesforce. Credal empowers developers and entirely non-technical subject matter experts to bring AI to Mongo - security and compliance built in. https://lnkd.in/ev8U_SMj

Ok but seriously... The incident response use case is really exciting: slash the time it takes to do the tedious parts of a post-mortem, and focus on the things that actually matter. Companies that have committed to adopting AI have already started to pull away from their peers, and the gap is only going to widen!

Boss say make number go up. Good Credal bot make number go up very very very very fast

We're on the hunt for incredible talent atm (if that might be you, hit me up!), and that's been returning me to a lot of thinking about our mission, and our culture. I've always believed, that an early stage startup is, at its core, a story. Unlike most stories, it is not written by any one person, but by the many people who will find themselves shaping who we are and what we do. It’s a story of a small number of people, trying to do an incredibly unlikely thing, in open defiance of the objective probability of success. The arc of the story is the arc of the startup, but the real content of the story is as much the relationships and heroics of the people involved. I recorded a really fun pod with Brett Stapper the other day, who managed to bring out some of my spicier stories. One of the things we chatted about was the dichotomy between what's prestigious in a given culture, and what's actually good for that culture. When graduating from the University of Oxford, the most prestigious thing I could do - the thing that would get most social approval from my peers, was join McKinsey or Goldman Sachs. Their noteworthy accomplishments now include helping rural America "eat them [opioids] up like Cheetos", or promoting to Managing Director literal criminals charged with Money Laundering and bribery of foreign governments.[1] Many awesome people work at these places of course, and such crimes are exceptions, not the rule. But in your career, you do have to choose if you want your story to be about prestige at big orgs, or impact. At Credal, we're obsessed with making our story about applying AI to the problems that matter most to human welfare: climate, healthcare, education, housing, financial services. As a result, the most mission-driven businesses are the ones most drawn to work with us. Many folks connected to me on Linkedin are in tech, and so may not have heard of orgs like the IFRS Foundation. One of the biggest challenges accountants face today is accounting for a business' climate impact. The IFRS is the global leader -a household name outside of tech- creating these standards, with Credal as the AI partner powering their work to make our world more sustainable. Although not all of our customers are mission driven household they also include global leaders in software that helps the government/enterprises find and crack down on slavery in their supply chain like Altana Technologies, folks making housing more habitable like Latchel, companies making packaging more sustainable like Sourceful, Wise letting immigrants like me move money to their families without extortionate fees, healthcare companies, education companies, industrial robotics businesses like Gecko Robotics, and many more besides. If you're interested in being at the forefront of defining the way the most exciting new technology of our time helps solve the most impactful problems across all time, reach out: we're in the first innings of making history. founders@credal.ai

Learn how Credal's Fintech customers use LLMs to gain an advantage over money launderers, and handle the emergent challenges in making AI useful with their real world data

Looking forward to hosting the FirstMark Data-Driven New York December Edition at our Moody's Corporation offices at 7 World Trade Center, New York on Monday December 4th. Speakers will include: Scott Belsky, Chief Strategy Officer Adobe; Gustavo Sapoznik, Founder of ASAPP; Ravin Thambapillai from Credal.ai. Along with a Moody's session where our AI leaders will share how we are integrating GenAI into our solutions and leveraging it to manage risk and identify opportunity. Sign up here 👇 https://lnkd.in/eUjBQjYs

It starts with A and ends with I...

Credal.ai (YC W23) has raised $4.8 million in a seed round to build the safest way to use AI at the enterprise. Companies today understand the massive productivity gains available through AI applications, but huge concerns exist over adopting these tools at the enterprise: what’s happening to our data once we hand it over to AI providers? As the usage of these tools explode, businesses risk losing control over what data has been shared with whom, when, and what technical and contractual safeguards are in place to protect that data from inadvertently ending up in the hands of competitors via an AI model’s training dataset. Founded by Jack Fischer and Ravin Thambapillai — who previously worked at Palantir and bonded over a mutual interest in security and compliance— Credal protects your sensitive data across all AI apps. The platform gives enterprises a way to connect their internal data to text-generating, cloud-hosted AI models, while automatically redacting, anonymizing, and warning when sensitive data is about to be sent off-network. Using Credal, teams can still get all the benefits of AI tools like ChatGPT, without risking business secrets or protected data like PII making it into AI training. Since launching in April, Credal has handled over a quarter of a million LLM calls and ~100,000 corporate documents across 11 customers currently today. Congrats to the team on the round!