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Enterprise AI for $20 a Month

An episode of the AI for Founders with Ryan Estes podcast, hosted by aiforfounders.co, titled "Enterprise AI for $20 a Month" was published on March 31, 2026 and runs 61 minutes.

March 31, 2026 ·61m · AI for Founders with Ryan Estes

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The dream of AI that actually knows your business has been haunted by two enemies since day one: hallucinations and speed. Everyone building on top of large language models has accepted these as the cost of doing business. Ankit Dheendsa, CTO of Morphos.ai, decided not to.Ankit came on to build something that most of the industry had already written off as impossible: a vectorization engine that doesn't just compress data, it fundamentally rethinks how a vector is constructed. The result is Green Vectors, Morphos's patent-pending core technology that reduces vector database size by up to 99.5%, speeds up queries by 4x, and pushes search accuracy to the 99th percentile. That's not an incremental gain. That's a category redefinition.What makes this sticky for founders is the affordability story. Enterprise RAG used to cost $50,000 and up, delivered mediocre accuracy, and still left your team second-guessing every output. Morphos.ai now delivers that same infrastructure layer for $20 a month, the same price as ChatGPT Pro, with dramatically better performance across the board.https://www.morphos.aihttps://www.linkedin.com/in/ankit-dheendsa/⁠⁠https://www.linkedin.com/in/estesryan/⁠⁠⁠⁠https://aiforfounders.co⁠⁠⁠⁠⁠https://kitcaster.com/application ⁠⁠⁠⁠⁠⁠https://ryanestes.info⁠⁠⁠

The dream of AI that actually knows your business has been haunted by two enemies since day one: hallucinations and speed. Everyone building on top of large language models has accepted these as the cost of doing business. Ankit Dheendsa, CTO of Morphos.ai, decided not to.

Ankit came on to build something that most of the industry had already written off as impossible: a vectorization engine that doesn't just compress data, it fundamentally rethinks how a vector is constructed. The result is Green Vectors, Morphos's patent-pending core technology that reduces vector database size by up to 99.5%, speeds up queries by 4x, and pushes search accuracy to the 99th percentile. That's not an incremental gain. That's a category redefinition.

What makes this sticky for founders is the affordability story. Enterprise RAG used to cost $50,000 and up, delivered mediocre accuracy, and still left your team second-guessing every output. Morphos.ai now delivers that same infrastructure layer for $20 a month, the same price as ChatGPT Pro, with dramatically better performance across the board.

https://www.morphos.ai

https://www.linkedin.com/in/ankit-dheendsa/

⁠⁠https://www.linkedin.com/in/estesryan/⁠⁠

⁠⁠https://aiforfounders.co⁠⁠

⁠⁠⁠https://kitcaster.com/application ⁠⁠⁠

⁠⁠⁠https://ryanestes.info⁠⁠⁠



Edge Explorers: Founders in the Fast Lane Serge Kuznetsov A series of podcasts for Founders and with Founders about Entrepreneurship, Edge Technologies, and the Future.Covering topics of AI, Robotics, New Tech to boost productivity, Leadership, Scaling of the businesses, and how to avoid burning out and keep motivation Prodity: Product by Design Kyle Evans Fascinating conversations with founders, leaders, and experts about product management, artificial intelligence (AI), user experience design, technology, and how we can create the best product experiences for users and our businesses. We Live to Build Sean Weisbrot We Live to Build is the interview series for founders who are serious about building something that lasts.Hosted by serial entrepreneur and angel investor Sean Weisbrot, the show features 300+ raw conversations with 7-9 figure founders and investors, the people who've actually done it and are willing to talk about what it really took.Every episode goes deep on networking, AI, fundraising, and the harsh realities of scaling a company.Subscribe to upgrade how you build. Hosted on Acast. See acast.com/privacy for more information. Thinking Machines: AI & Philosophy Daniel Reid Cahn “Thinking Machines,” hosted by Daniel Reid Cahn, bridges the worlds of artificial intelligence and philosophy - aimed at technical audiences. Episodes explore how AI challenges our understanding of topics like consciousness, free will, and morality, featuring interviews with leading thinkers, AI leaders, founders, machine learning engineers, and philosophers. Daniel guides listeners through the complex landscape of artificial intelligence, questioning its impact on human knowledge, ethics, and the future.We talk through the big questions that are bubbling through the AI community, covering topics like "Can AI be Creative?" and "Is the Turing Test outdated?", introduce new concepts to our vocabulary like "human washing," and only occasionally agree with each other.Daniel is a machine learning engineer who misses his time as a philosopher at King's College London. Daniel is the cofounder and CEO of Slingshot AI, building the foundation model for psychology.
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