PromptQL

Thrilled to be named one of the Top AI Startups to Watch in 2026 by @BusinessInsider 🚀 What they spotlighted as our killer feature: “AI accuracy at scale – without requiring messy data to be prepped or moved elsewhere.” Since day one, we’ve been obsessed with one thing: AI accuracy on data as it is today. Your AI should learn your business language – and keep learning as your business and data evolve. That’s the only way to scale accuracy – not by waiting for “perfect” data. We’ve always believed this was the real game-changer. Amazing to see the world take note. 👉  Full feature in the comments. #EnterpriseAI #BusinessInsider #AccurateAI #TopAIStartups

At Data Science Connect last month, @_RobDominguez asked a simple question: “Is your AI initiative driving impact or drifting toward obsolescence?” Most enterprise AI fails to deliver because of missing context. The real context is scattered and tribal. The definitions, the edge cases, and the why behind the metric. When that tribal knowledge never makes it into the system, AI stalls. PromptQL is built to change that. Its superpower is an operating model designed to capture this knowledge as teams use it. Easily. Continuously. At scale. Every conversation teaches it and makes it better for your business. If you’re curious what that actually looks like, join tomorrow’s Data Science Connect webinar. We’ll show a 10-minute live demo. Registration link in the comments below ⬇️

Our CEO @tanmaigo sat down with @FortuneMagazine to discuss what’s actually happening with AI and work. It’s not the doomsday narrative dominating headlines. The real story: → AI has reached “baby AGI” for software engineering → But most knowledge work is protected by something AI lacks: business context → That context is scattered, in people’s heads, and is constantly evolving Build the operating model that enables you to continuously teach AI your business context, and you unlock massive leverage across knowledge work. Knowledge roles aren’t going away. They’re being redesigned. The organizations that adapt will thrive by using AI to amplify human judgment, accelerate execution, and expand human potential. Full article in the comment below ⬇️ #PromptQL #EnterpriseAI #SharedContext #EnterpriseWiki #AccurateAI

@FortuneMagazine Hot take from @tanmaigo. Excellent read!

Tanmai Gopal, co-founder and CEO of PromptQL, says dire predictions of AI wiping out jobs are a classic case of Silicon Valley self-projection, even narcissism. bit.ly/3MTeIuc

Enterprise AI's biggest bottleneck isn't data or models. It's the missing system for creating and evolving shared context. Things like: • "Active Customer" was redefined in Q2, but only mentioned in a RevOps sync • Churned customers get reactivated after 90 days, not immediately • EMEA revenue is reported differently due to a legacy contract That knowledge lives in people's heads, Slack threads, and long email chains. There was never a natural moment or place to capture it. To improve AI, we need a scalable way to capture this context as it's created, before it disappears. @Benzinga covered how we're tackling this at @PromptQL. Link in the comments. #EnterpriseAI #AccurateAI #DataAnalytics #AIAnalysts #KnowledgeSilos

Are dashboards dead? Are semantic layers obsolete? Do we still need a central data warehouse? AI is forcing data and analytics leaders to rethink the entire architecture. The modern data stack was built to support decision-making. It did so by solving data access, while leaving understanding to humans. But in an era of AI-driven analytics, this architecture is actually slowing decisions down. As AI becomes the primary analyst, leaders need to rethink a few fundamentals: • Treat centralization as optional, not mandatory • Shift semantics from static definitions to living context • Move dashboards from the starting point to the output Full @Forbes article link in the comments

From “confidently wrong” to continuously learning Today at 2 PM PT, Tanmai Gopal (CEO & Co-Founder) takes the stage at AWS re:Invent to tackle the problem that’s quietly killing enterprise AI adoption. “Fixing AI’s Confidently Wrong Problem in the Enterprise” The demo works. The pilot shows promise. Then production hits, and your AI starts hallucinating with unwavering certainty. Trust evaporates, adoption stalls, and your team is back to square one. In 20 minutes, you’ll see: → Why today’s semantic layers keep falling short → How continual learning compounds accuracy over time → What effective human-in-the-loop actually looks like (beyond the buzzword) 📍Venetian Las Vegas, Partner Experience Pavilion 🗓️ Dec 3 | 2:00 PM | Level 2, Hall B, Expo, Theatre 4 Can’t make it? Stop by Booth #1733 all day, because AI that can’t learn from your business will never understand your business. #reinvent2025 #PromptQL

🌟 𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐞 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭! 🌟 We’re shining a light on an employee who is a true example of growth and adaptability: Business Systems Support Specialist, Arpit Kushwaha. Over the years, he has worn many hats, embraced every challenge, and made a lasting impact across multiple teams. Read Arpit’s story and see what makes him the Ultimate Team Player! promptql.io/blog/employee-…

𝗤𝗖𝗼𝗻 𝗦𝗙: 𝗪𝗵𝗲𝗿𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗴𝗲𝘁𝘀 𝗿𝗲𝗮𝗹. PromptQL is at Booth #36, tackling the problem that’s killing AI adoption: systems that are confidently wrong. If you’re building AI for production, not just demos, come see how accuracy-first architecture changes everything. → Continual learning that scales accuracy → AI that knows its limits and flags gaps → Real solutions for the “confidently wrong” problem 📍Booth #36 | 📅 Nov 17-19 | 🌉 Hyatt Regency, SF Stop by – let’s talk about shipping AI your business will actually trust. #QconSF

@BusinessInsider businessinsider.com/5-ai-powered-c…

Thrilled to be named one of the Top AI Startups to Watch in 2026 by @BusinessInsider 🚀 What they spotlighted as our killer feature: “AI accuracy at scale – without requiring messy data to be prepped or moved elsewhere.” Since day one, we’ve been obsessed with one thing: AI accuracy on data as it is today. Your AI should learn your business language – and keep learning as your business and data evolve. That’s the only way to scale accuracy – not by waiting for “perfect” data. We’ve always believed this was the real game-changer. Amazing to see the world take note. 👉  Full feature in the comments. #EnterpriseAI #BusinessInsider #AccurateAI #TopAIStartups

𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗵𝗮𝘂𝗻𝘁𝗶𝗻𝗴 𝗶𝗻 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗶𝘀 𝗔𝗜 𝘁𝗵𝗮𝘁'𝘀 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗹𝘆 𝘄𝗿𝗼𝗻𝗴. 👻 When your AI hallucinates with unwavering certainty, you get eroded trust, broken workflows, and teams second-guessing every result. This "confident inaccuracy" is the ghost quietly haunting AI adoption at scale. Tanmai Gopal, Co-Founder & CEO of PromptQL, tackles this head-on at the AI Accelerator Institute's Chief AI Officer Summit in Boston on October 30. The session covers: → Why confident inaccuracy blocks reliable AI systems → What we've built at PromptQL to fix it, not just patch it → How to turn this into a continuous learning loop across your organization If you’re navigating the eerie reality of deploying AI you can truly trust, this is the conversation you don’t want to miss. Learn more ➡️ world.aiacceleratorinstitute.com/location/caiob… #accurateai #accurateaiishere #aianalyst #customai #enterpriseai #promptql #caio #chiefaiofficersummit

𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗮𝗻 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆-𝗳𝗶𝗿𝘀𝘁 𝗔𝗜 𝗺𝗶𝗻𝗱𝘀𝗲𝘁. ► Join PromptQL’s @sukukrishnaraj (President & COO) and @dsandip (Director of Forward Deployed Engineering) at CDAO Fall on October 22 in Boston as they share how data leaders can build AI systems that scale with trust, adoption, and measurable impact. They'll unpack: → The real meaning of accuracy in enterprise decision-making → How leaders can connect data, people, and institutional knowledge → Building the modern CDAO toolkit for an AI-first future Grab a seat and be part of the conversation ➡️ link.promptql.io/3KDZ3NZ Corinium Global Intelligence #CDAOFall #AccurateAI #DataLeadership #EnterpriseAI #PromptQL

Yeah, we’ve all been there. Answering those “quick” questions is never actually quick. Pulling data. Joining tables. Clarifying what someone really meant. Pinging folks for help and confirmation. It’s your classic morning fire drill. But what if you had an AI-powered analyst that did all of that — and more — for you? ► Connects the dots across your data ► Flags uncertainty so you can resolve it fast ► Learns from your corrections to get smarter every time Now that “quick question” really is quick — answered fast, accurately, and without the scramble. See PromptQL in action ➡️ promptql.io/playground #AIAnalyst #AccurateAI #CustomAI

We’re heading to CDAO Fall in Boston from Oct 22–23, joining 400+ senior data & AI leaders shaping the future of enterprise AI. On Oct 22, don’t miss PromptQL’s @sukukrishnaraj (President & COO) and @dsandip (Director of Forward Deployed Engineering) leading a discussion on 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆-𝗳𝗶𝗿𝘀𝘁 𝗔𝗜 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗼𝗿 𝘁𝗿𝘂𝘀𝘁, 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲. We’ll dig into: ► Accuracy and the many data-driven truths of an enterprise ► Bridging the gap between data, people, and tribal expertise ► Building the CDAO toolkit for an evolving AI landscape Join us ➡️ link.promptql.io/3KDZ3NZ @CoriniumGlobal #CDAOFall #AccurateAI #DataLeadership #EnterpriseAI #PromptQL