Credal.ai

🚀 What's the real impact of AI in the workplace? 🤔 Hear directly from over 220 professionals and our accelerator companies—Personal AI, Crossing Minds, and Credal.ai about the opportunities and challenges of integrating AI into your daily workflows. #AI #Innovation #FutureOfWork

The MongoDB AI Applications Program (MAAP) just got even bigger! This morning, we announced that Capgemini, Confluent, IBM, McKinsey & Company and unstructured.io have joined the MAAP ecosystem. 22 MongoDB parters now comprise the MAAP partner network including Accenture, Anthropic, Anyscale, Arcee AI, Amazon Web Services (AWS), Cohere, Credal.ai, Fireworks AI, Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic AI, PeerIslands, Pureinsights Technology and Together AI. This ecosystem provides cutting edge AI integrations and solutions to customers—and more ways to set them on the path to AI success. Since we launched MAAP this summer, over 150+ customers have come to us for help getting up and running with gen AI faster. One of those customers is CentralReach, a leading autism and intellectual and developmental disability software provider that’s using MAAP to optimize its AI-powered care platform. We want MAAP customers like CentralReach—and anyone who works with MongoDB’s partner ecosystem at large—to feel empowered to own their application development, and to transform challenges into opportunities. With our newest members, they have even more ways to do so. Let’s build the next big thing together! Take a look at my blog post to learn more, and if you’re at Amazon Web Services (AWS) #reInvent this week, stop by booth #824 to say hi to the MongoDB team 👋 https://lnkd.in/ecAYm6Mr 

Dear AI Code Reviewer - team thought you were a great cultural fit, but don't meet our technical bar... My guess why these tools suck so bad: We defined this rule for our AI code reviewer: "When checking for `undefined`, use `!=` instead of `!==` to also match `null` values.". Pretty straightforward rule, but the screenshot shows the reviewer screwing it up pretty bad. Seems pretty clear that this is using a cheap model (something like gpt-4o-mini or haiku), presumably because it's too expensive to feed the entire PR into a more expensive model. Would be super interested to see how far you could get by having a cheap model look at the entire PR and flag sections that might need a closer look, then having a more expensive model do the actual review + comment. Or could the company just give us the ability to se a bigger model and pay the AI bill ourselves? Have you gotten any funny code reviews from one of these AI tools?

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. [email protected]

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