By 2027, 70% of NLP use cases will be powered by foundation models. That’s not just adoption. That’s a shift in how work gets done. At the same time: • Algorithmic progress is expected to accelerate by 50% • Data science cycles are shrinking from weeks to hours • AI agents are moving from analysis → execution The impact isn’t incremental. It’s compressing timelines for innovation and execution across the enterprise. The organizations pulling ahead aren’t just using AI. They’re building systems that combine agents, context, and human expertise to act faster. Read more: Link in comments Real AI transformation, accelerated. #AIStats #AgenticAI #EnterpriseAI #RapidCanvas #RealAITransformation
RapidCanvas
Software Development
Austin, Texas 36,624 followers
Real AI transformation, accelerated.
About us
Our Hybrid Approach™ to enterprise AI changes everything. We pair elite human experts with a purpose-built agentic platform to create custom solutions that are human-led, agent-executed, and deliver outcomes from day one. We don’t just consult. We collaborate as your partner, from first engagement to lasting transformation. While others get stuck in pilot purgatory, we take businesses from concept to production to scale by solving key problems of context and execution. It’s not capability that today’s AI lacks, but understanding. Without deep, structured knowledge of your business, your workflows, and what your data actually means, pilots look promising but break when stretched. We solve this on day one. Every engagement starts with your own Enterprise Context Engine™: a living intelligence at the heart of your business. It unifies your data, maps your workflows, and learns from every use case. The more you build, the smarter it gets. Every iteration feeds the engine, and the intelligence compounds. That makes the second problem, execution, no longer a roadblock. When your AI architecture understands your business, problems, and workflows, it works with you, making iterative improvements easy and execution at an enterprise scale possible. We work with industry leaders in manufacturing, retail and consumer goods, financial services, supply chain, and infrastructure. Future-proofed by design. Outcome-led by default. Recognized as a top 5 Data Science and Machine Learning platform by G2 for customer satisfaction.
- Website
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https://rapidcanvas.ai/
External link for RapidCanvas
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Austin, Texas
- Type
- Privately Held
- Founded
- 2021
- Specialties
- Artificial Intelligence, Machine Learning, Data Science, Visualization, Augmented Analytics, AutoML, Full-lifecycle AI Platform, Enterprise AI, Visual AI, Scalable AI, and Turnkey AI Solutions
Products
Locations
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Austin, Texas, US
Employees at RapidCanvas
Updates
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Our customers don't want to learn AI. They want their business to grow, and that's exactly what we build for. Thank you, Steve Schmidt, for putting it so perfectly. The iPhone didn't teach anyone about radio waves. We don't ask our customers to become data scientists either. Outcomes first. Always.
The more I listen to #conversations, the more I sense most people have over-indexed on learning all the technical nuances of #AI and under-indexed on applying it in #production. For me, #iPhone was the greatest example of applying technology in easily in production. #Apple didn’t try educating billions of people how a voice packet travels from a handset to a MIMO antenna after it was segmented, scheduled, and modulated into a radio wave which then travelled to the gNodeB base station and then over a fiber optic cable to the core #5GC network blah blah blah. They distilled the complexity of calling, filming, and listening to music into the elegance of a single button. As we move from AI curiosity to deployment, I’m starting to see customers adopt this same attitude on mass with the help of the RapidCanvas platform. While folks can still explore the photonic detail, they rarely do. They want #business outcomes. They want to transform their business safely and security with explainable AI, not get a second degree in linear algebra, GPU optimization, memory coalescing, or model quantization techniques. While these things are important, they’re enablers and shouldn’t be time sucking black holes. Customers want to see, believe, and deliver AI outcomes, and then let their imagination run wild about more potential use case at scale. This is exactly what customers are experiencing with the RapidCanvas #platform. Below is a small extract of their customer feedback. Notice how customers shout about the business impact experience not the prowess of agents, LLM's or other technical matters – though they are thought leaders in those domains, those are inputs, not goals to be achieved. 90% reduction in reconciliation time 75% reduction in analyst's workload 5X+ ROI in 2-3 months reduced processing time from days to minutes 95% automated data flow 50% reduction in operating costs for that use case 80% reduction in manual spreadsheet work 90% increase in scheduling accuracy 532% increase in “add to cart” 20% increase in factory output $1M in cost saving 30% reduction in operations planning time 30% improvement in data science productivity 20x increase in scale 10% increase in revenue 50% drop in data preparation 85% improvement in data accuracy 50% reduction in engineering evaluation time $800k reduction in fraud 96% reduction in analysis time per investigation 40% reduction in data scientist workload We are entering a new era of AI #achievement based on real business outcomes (not model release capability or performance benchmarks). The most powerful technology providers will always be the ones to radically consolidate complex systems into elegant consumption. Over the next 12 months, I suspect hundreds of billions will exchange hands on this very principle. The winners deliver against the use case: the losers will end up in the Betamax museum. I love #investing in #extraordinary #founders! https://lnkd.in/gK5d3y85
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At InnoTech Austin 2026, Rahul Pangam, CEO & Co-Founder and Jim Wells, VP & GM of Enterprise AI Solutions from RapidCanvas are sharing hard-won lessons and real world examples from 100+ enterprise AI initiatives. 🎤 Session: "The Principles of AI Success - Lessons learned from implementing over 100 enterprise AI initiatives" ⏰ 10:10 AM | May 12 📍 Classroom 3, Second Floor Three principles that separate real impact from stalled pilots: 1. Start with the P&L 2. Treat AI as a role, not a tool 3. Design solutions that adapt to the business, not the other way around If you're serious about turning AI into measurable results, this one's for you. See you there. Come say hi at our booth #500. ☕ #InnoTechAustin #RapidCanvas #EnterpriseAI #AILeadership #AIStrategy #AustinTech #RealAITransformation
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Excited to reshare this! Rahul Pangam, Co-Founder & CEO and Jim Wells, VP & GM Enterprise AI Solutions from RapidCanvas are taking the stage at InnoTech Austin to unpack the real principles behind successful AI transformation. Session: The Principles of AI Success - Lessons learned from implementing over 100 Enterprise AI initiatives 🗓️ May 12, 2026 ⏰ 10:10 AM 📍 Classroom 3, Second Floor If you're at InnoTech Austin, don't miss this one! 🙌 #InnoTechAustin #AI #EnterpriseAI #RapidCanvas #ArtificialIntelligence
Slow drip of speakers and topics continues. InnoTech Austin, presented by The HT Group is two weeks away including 25 educationally focused IT & security topics. Yes, AI is a focus. Thanks to RapidCanvas for sponsoring and speaking.
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Tune in today (4/30) at 12 PM EDT / 6 PM CET to learn how to turn AI into real business impact.
Most companies don't struggle with AI because of the technology. They struggle because they never connect it to how the business makes money. In this upcoming Dscoop.com session 👇 hosted by Roy Eitan, leaders Ray Hsu and Burton White from RapidCanvas share lessons from more than 100 enterprise AI initiatives. They'll walk you through three principles that separate real impact from stalled pilots: - Start with the P&L, not with tools, platforms, or pilots. - Every AI initiative should trace directly to throughput, cost or margin, or it shouldn't start at all. - Treat AI as a role, not a feature. Printers who are seeing real AI results aren't bolting new tools onto existing software. They're embedding it into daily workflows, giving principals, managers and entire teams a second brain. Ray and Burt will talk about why AI adoption fails when people have to adapt to rigid systems. Instead, it should flex to how your business actually works. If you're serious about turning AI into measurable results, this session shows you how. 🎞️ Save your seat for Thursday, 4/30 at 12 pm EDT / 6 pm CET: https://lnkd.in/eFhX7KxW
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Why do 95% of AI projects fail to deliver? It's not the model. It's what you feed it. In the latest from our "Every Business Deserves Real AI Transformation" series, Rahul Pangam, CEO & Co-founder, RapidCanvas, breaks down the real issue: the context deficit. Raw, fragmented data fed into AI doesn't produce intelligence. It produces noise. And agents trained on noise make low-accuracy decisions. The answer isn't a better model. It's fixing the infrastructure layer underneath, converting messy enterprise data into structured, agent-ready context we call "Curated Truth." 👉 Link in the comments #EnterpriseAI #RealAITransformation #RapidCanvas #EBDRAIT #EveryBusinessDeservesRealAITransformation
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Big news! RapidCanvas is heading to #InnoTech Austin. We're proud to be a sponsor at one of Texas's premier IT & Security conferences, and we're bringing a crew. Representing RapidCanvas on the ground: 1. Rahul Pangam, CEO & Co-Founder 2. Jim Wells, VP & GM, Enterprise AI Solutions 3. Ryan Cohen, Director of AI Growth 4. Bill Rohrer, AI Growth Consultant 📅 May 12, 2026 📍 Palmer Event Center, Austin, TX If you're attending, come meet us at booth #500. We'd love to talk about how AI can actually move the needle for your business. 👋 Want to connect? Grab some time with our team before the day gets busy. 👇 Booking links in the comments #InnoTechAustin #RapidCanvas #EnterpriseAI #ArtificialIntelligence #AIStrategy #AustinTech #RealAITransformation
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This month’s Rapid AI Insights from RapidCanvas is out! In this edition, we explore why AI is not failing, but execution is. As enterprises move beyond pilots, the real advantage comes from scaling AI across workflows and turning it into real business impact. 👇 Read the full edition #RapidAIInsights #RealAITransformation #AgenticAI #RapidCanvas #AIFuture #BusinessLeaders #ArtificialIntelligence #Newsletter
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Most AI initiatives fail because they’re never connected to how the business actually operates. That’s the gap. Join RapidCanvas × Dscoop for a webinar session: The Principles of AI Success - Lessons learned from implementing over 100 Enterprise AI initiatives What we'll cover: 1. Why most AI initiatives stall before they scale 2. How to identify the highest-value AI opportunity inside your business 3. Why AI is a role, not a software license 4. How AI's adaptive nature drives faster adoption Speakers: 🎙 Ray Hsu, VP & GM, RapidCanvas 🎙 Burton White White, Strategic Advisor, Supply Chain & Logistics, RapidCanvas Host: 🎙 Roy Eitan, CEO advisor, Former Dscoop board member 📅 April 30, 2026 ⏰ 12:00 - 1:00 PM EDT 👇 Registration link in the comments #EnterpriseAI #AIWebinar #RapidCanvas #RealAITransformation #Dscoop
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Big News! RapidCanvas is proud to announce a strategic partnership with Virtas Partners 🤝 Together, we’re embedding AI directly into core financial workflows, helping CFO teams move beyond manual data work to faster reporting, smarter forecasting, and more confident decision-making. This is about turning insights into continuous, real-time execution. Details in the comments 👇 Real AI transformation, accelerated. #AI #FinanceTransformation #CFO #Automation #Partnership
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