The season 2 finale of AI Unveiled features our guest host Lak Ananth, Global Managing Partner at Next47, and Igor Marinelli, Co-Founder and CEO of Next47-backed Tractian. They chat about how Tractian is leveraging AI to transform industrial maintenance, the nuances of a co-founder relationship, and how founders must evolve as their companies scale. Igor shares his unconventional entrepreneurial journey—from cold emailing factories at 13 to building Tractian, a leading maintenance intelligence platform. He dives into how AI enables predictive maintenance, using machine learning and signal processing to detect equipment failures before they happen. The discussion covers the challenges of bringing AI into legacy industries, where downtime can mean millions in lost revenue. And how Tractian’s technology turns raw machine data into actionable insights, helping manufacturers optimize uptime, reduce costs, and improve reliability. Their discussion then veers into the challenges facing founders today. From how to identify a scalable problem, being customer-first, why the co-founder relationship is similar to a marriage, and how to create a company of speed and accountability. We hope you enjoy this episode! Timestamps:  * 01:07 - Why building a company around a pain point close to your heart yields success * 15:57 - Using AI to predict, and fix industrial maintenance issues * 25:40 - How to build a co-founder relationship that lasts * 29:02 - Strategies for managing managers in your growth-stage company * 32:44 - Do co-founders need to be friends? * 38:57 - Your customer support is your product At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode, I speak with Swapnil Jain, Founder & CEO of Observe.AI, an AI-powered platform focused on automating customer service and contact centers. Observe.AI helps enterprises enhance efficiency by leveraging AI-powered automation to evaluate customer interactions, support agents and sellers in real time, and boost customer satisfaction. The episode explores the evolution of AI in customer support and how enterprises are adapting to an AI-first world. Swapnil dives into the future of contact centers, predicting that within five years, over 50% of support calls will be fully automated by AI. He discusses the challenges traditional BPOs face, why many will struggle to survive without an AI-first strategy, and how businesses can leverage AI to shift customer service from a cost center to a revenue-generating function. We discuss the convergence of voice, chat, and AI agents in customer support and why agentic AI is a game-changer for real-time automation. Swapnil shares his own leadership evolution, reflecting on the intensity required to build a category-defining company in AI. He also offers insights into the shifting landscape of enterprise AI adoption, the role of small vs. large language models, and how AI is reshaping human-computer interactions. Enjoy! Timestamps:  * 2:40 - Starting an AI company pre-LLM * 9:06 - AI’s impact on human heavy services and industries * 17:38 - Agentic AI breakdown * 31:48 - How to measure the accuracy of your AI agents * 37:40 - Leadership lessons for managing an international workforce At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode of AI Unveiled, I speak with Dimitris Nikolaou, Co-Founder and CEO of Wondercraft, an AI-powered platform enabling creators to effortlessly produce podcasts, audiobooks, ads, and more using synthetic voices. The episode explores the founding journey of Wondercraft, from Dimitris’s experience at Palantir to the decision to build a company before having a specific idea in mind. Dimitris shares how Wondercraft started as a simple experiment and grew into a leading platform empowering creators with user-friendly tools and hyper-realistic voice technology. Dimitris explains how Wondercraft leverages foundational models like OpenAI, Google, and ElevenLabs while developing proprietary tech to offer advanced customization for voice content. With features like emotion adjustments, accent changes, and "director mode," Wondercraft has unlocked new possibilities for creators to deliver impactful and engaging audio content. The conversation dives into AI’s transformative role in creative media, covering topics like how AI simplifies podcast production, enabling niche creators to engage their audiences through audio. We also cover the growing demand for personalized audio ads and Wondercraft’s ability to produce hundreds of tailored variations efficiently. He also dives into some innovative use cases, like AI-powered meditations and revision podcasts for students, as well as how they capitalized on the momentum of  NotebookLM voice overview by offering additional controls.  Dimitris also offers insights into Wondercraft’s growth strategy, from leveraging SEO to building a thriving user community. He discusses the company’s 2025 roadmap, which includes groundbreaking features like video creation, collaborative tools inspired by Canva and Notion, and celebrity voice integrations. Finally, Dimitris shares his perspective on building a mission-driven company, highlighting the importance of empowering human creativity while leveraging AI’s potential. I hope you enjoy this episode! Timestamps:  *04:40 - The founders journey from Palantir to Wondercraft *09:20 - AI’s influence on traditional media and entertainment *15:35 - Shifting podcasts from human hosts to AI ones *19:17 - Personalization in AI audio *37:27 - Scaling to over 200,000 users At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode of AI Unveiled, I sit down with Jean-Louis Quéguiner, Founder and CEO of Gladia, a cutting-edge audio infrastructure platform powering voice-first applications. Gladia’s mission? To make voice the ultimate interface for human and machine interactions, starting with state-of-the-art transcription. Jean-Louis shares his journey from leading AI and big data infrastructure at OVHcloud to launching Gladia, and how the company pivoted from offering 500 APIs to focusing exclusively on voice solutions. He dives into the challenges of building and maintaining real-time voice infrastructure and tackling hallucinations in speech-to-text. Gladia doesn’t do pre-training and instead fine-tunes foundational models. We discuss risk of commoditization as multimodal models mature and how Gladia is able to differentiate by ingesting and modeling their customer’s specific business context and data. The conversation explores AI's impact on industries like healthcare, education, and law, as well as the future of real-time transcription and multimodal AI. Jean-Louis also provides insights into the importance of customer intimacy, how Gladia competes with hyperscalers, and why a long-term focus on real-world business problems is more important than chasing hype. Tune in to learn how Gladia is redefining voice as the interface of the future and what it takes to build a high-impact AI infrastructure company. Enjoy! ------ Timestamps:  *5:03 - What should come first: product or customer development? *9:37 - Industries that will be most impacted by voice AI *14:08 - Tackling hallucination  * 39:36 - The impact of multimodal AI * 44:30- How AI founders can stay ahead of trends ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode, I sit down with Alex Levin, Co-Founder and CEO of Regal, a platform that is disrupting the contact center industry with AI-powered agents.  Our conversation unpacks the transformative potential of AI agents in reshaping how businesses interact with their customers. Alex explains why traditional models of minimizing customer interactions are failing and how Regal enables companies to drive growth by offering scalable, high-touch experiences. He shares his bold prediction that 90% of customer interactions will be handled by AI agents in the near future, so we discuss implications for the global workforce and why he doesn't think there'll be destruction of jobs overall. He talks about the growing importance of the evolving role of "prompt engineers" and the new skill sets necessary for a world increasingly powered by generative AI. I asked Alex how Regal ensures that the customer experience that AI agents provide is good enough. Of course, AI agents are non-deterministic and make errors, but so do human agents. So whether it is reviewing calls, training agents, or determining logic to handoff to level-2 support, many techniques for managing the quality of AI Agents are similar to managing the quality of support by human agents.   Finally, we examine why mid-market companies are adopting AI agents more rapidly than enterprises and how Regal is positioned to address their unique needs. Alex shares his perspective on how businesses can navigate this transition successfully, emphasizing the importance of embracing AI to remain competitive in an evolving landscape. I hope you enjoy this episode! --- Timestamps:  *07:00 - In the near future, 90% of contact center calls will be with AI  *15:10 - The importance of omnichannel  * 19:55 - How to stand out in the competitive AI agent industry * 33:40 - How to assess the quality of your AI agents --- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode, guest host Kate Reznykova, Partner at Next47, speaks with Ulrik Hansen, Co-Founder of Encord, a data development platform that helps companies manage, curate, and label multimodal data such as image, video, audio, document, text, and DICOM files.  The episode explores the origin story of Encord and the challenges Ulrik and his co-founder Eric faced in building scalable data infrastructure for AI. Ulrik explains how their platform simplifies data creation, annotation, and model evaluation, enabling companies to unlock the potential of their data for applications like diagnosing medical conditions or improving autonomous vehicles. By focusing on the critical steps of streamlining and cleaning data, Encord has positioned itself as a key player in helping organizations build more accurate and effective AI models. Ulrik also shares insights into scaling a mission-driven startup, from early days coding prototypes at Eric’s dining room table to fundraising and growing a team of nearly 80 people. He discusses the transition from founder-led sales and product development to building a scalable business model and hiring specialized teams. He attributes much of Encord’s success to staying adaptable, learning quickly, and iterating based on customer needs. The discussion dives into the future of AI, including the rise of multimodal systems, advancements in reasoning, and the potential of AI agents. Ulrik highlights how these are reshaping industries and shares how Encord is preparing for this future. Enjoy! ----- Timestamps:  * 05:05 - The technical hurdles of building a scalable platform for massive datasets  * 15:20 - The evolution from hands-on founder to leader, sharing insights into hiring, scaling sales, and transitioning responsibilities * 27:25 - What it takes to grow from Series A to Series B * 36:00 - What trends are shaping AI’s next phase, including multimodal systems, advanced reasoning, and intelligent agents ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode, I speak with EJ Cho, Co-Founder and CEO of Tofu, an innovative AI platform revolutionizing B2B marketing by enabling teams to personalize and scale their content creation efforts. We start our chat diving into EJ’s journey from engineering leadership roles at Google and Meta to founding Tofu. EJ explains how Tofu empowers teams to fully automate top-of-funnel campaigns, repurpose content across channels, and deliver hyper-personalized experiences at scale. He shares insights into the challenges of creating high-quality, on-brand content with AI and how Tofu bridges the gap between automation and human touch. EJ also highlights the shifting dynamics of marketing teams in an AI-driven world, discussing how roles and structures are evolving to focus on efficiency, relevance, and strategic creativity. We discuss the future of personalization in B2B marketing, from tailoring every element of a landing page to predicting the perfect timing for outreach, and how companies are navigating the balance between automation and control. Tune in to learn how AI is reshaping the marketing landscape, enabling teams to do more with less, and creating new opportunities for innovation and growth. I hope you enjoy this episode! ----- Timestamps:  * 03:12 - Using AI to make personalized marketing content * 08:40 - The future of AI in B2B marketing * 16:54 - Can AI content compare to human content? * 26:37 - How to approach pricing your AI product ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

In this episode, I speak with Gabriel Hubert, Co-Founder and CEO of Dust, a cutting-edge platform that enables companies to design, deploy, and maintain AI assistants tailored to their internal workflows. We dive into Gabriel’s journey building Dust, the transformative potential of AI in knowledge work, and the principles behind creating tools that teams truly adopt and rely on. Our conversation centers around the adoption and impact of AI assistants in the workplace. Gabriel shares how Dust is helping companies embed AI into day-to-day workflows, from drafting personalized communication and summarizing internal data to automating candidate feedback and streamlining decision-making processes. We also chat about the challenges of balancing ubiquity, intelligence, and agency to create AI tools that are both powerful and intuitive. Gabriel discusses how Dust approaches user adoption, focusing on empowering teams to create their own assistants while maintaining centralized oversight for key workflows. He emphasizes the importance of trust, accessibility, and showing tangible value to drive widespread usage of AI tools. Tune in to learn how AI is transforming the way we work, the practicalities of scaling AI adoption, and how to build tools that teams love. Enjoy! ----- Timestamps:  * 09:53 - AI’s impact on knowledge work * 13:15 - Software as we know it is being challenged * 22:37 - How AI Assistants will impact hiring * 37:06 - Dust’s approach to customer feedback and accuracy ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Next47 Partner Vivian Cheng guest hosts this episode of AI Unveiled and speaks with Erez Druk, the Co-Founder and CEO of Freed, a rocket ship AI startup dedicated to transforming the lives of healthcare professionals. Freed has grown at breakneck speed, reaching $10 million in ARR in its first year. Its mission is to free clinicians from the burden of manually managing electronic health records (EHR), allowing them to focus on patient care rather than paperwork. Erez was inspired to found Freed after watching his wife, a clinician, struggle with seemingly endless hours needed to keep up with administrative tasks. Burnout is rampant in the healthcare industry, so Erez saw Freed as the way to give physicians their time (and lives) back. Erez is a second-time founder and learned quickly that having a deep connection to the pain point he’s working to resolve has made all the difference in building a company.  A key theme of this conversation is how to scale a mission-driven company quickly and effectively. In just a year, this startup reached $10 million in ARR and serves over 10,000 clinicians. We discuss the importance of obsessing over user needs, building a simple and effective product, how to hire the right people, and timing your entry into the market.  ----- Timestamps:  * 8:19 - Finding product-market-fit * 11:13 - How Freed’s AI scribe stands out in a highly competitive space * 17:27 - Who you hire can make or break your company  * 21:12 - Lessons learned as a second-time founder ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Welcome to Season 2 of AI Unveiled! I’m excited for you to hear from some exceptional founders and dive into business building, advice for founders, and, of course, AI.  In this episode, I speak with Deepanshu Arora, Co-Founder and CEO of Toddle, an AI-powered teaching and learning platform for progressive K-12 schools. We cover Deepanshu’s journey of building a global SaaS platform from India, his impact on education, and how AI is transforming the way teachers and students interact in the classroom. Before founding Toddle, Deepanshu worked as a consultant at McKinsey and ran preschools in India. His personal experience managing a K-12 school led him to start Toddle. What began as a passion project aimed at improving workflow for his own teachers soon scaled into a global SaaS platform. Today, Toddle supports over 150,000 teachers and more than 1.5 million students worldwide.  The main focus of this conversation is AI’s role in education and how it can ease the workload of teachers so they can focus more on what truly matters—engaging with their students and inspiring curiosity. Deepanshu also discusses how AI is helping us get closer to 1:1 personalization, which is considered to be this holy grail in education where you are able to meet each child where they are in terms of their interest, passions, and learning abilities.  We also cover the challenges of running a global SaaS platform from India and how Toddle scaled to over 100 countries, with 70% of their users based outside of India. Toddle’s global appeal is grounded in a deep understanding of teacher workflows, which are remarkably similar across the world. By maintaining a “teachers-first” culture—where every non-engineering and design role, from customer success to marketing, is filled by former educators—Toddle has built an empathetic and highly specialized team that truly understands the needs of its users. I hope you enjoy this episode! ------ Timestamps:  * 3:08 - How to build a niche, global community * 11:45 - Can AI solve the biggest challenges teachers face? * 19:48 - Toddle’s approach to personalization * 35:26 - Building a global SaaS company from India ------ At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 8: We end our first season chatting with Santi Suarez-Ordoñez and Ashley Wilson, who along with their third co-founder, Moiz Virani, founded Momentum.io, an AI sales platform. They initially crossed paths at their previous startup, Sauce Labs. We start the conversation by talking about their background, the Momentum founding story, and most notably, the dynamics of being married to their work and each other!  Sales call summaries are core to their platform. This is an evolving space, so we discuss how it’s changed over the past few years and how Momentum was positioned for success once the AI boom began—leveraging their established expertise as new companies emerge every day. Santi touches on Momentum’s transition from AI assistance to make sales reps more efficient to AI-driven automation. This was made possible once they had enough usage to train their custom models. Ashley goes into the impacts automation has had on revenue organizations and processes, and her predictions on the future of the sales tech stack. One big trend she sees is the increased importance of qualitative data, such as call summaries and notes, in driving forecasting, training, and key business decisions.  I hope you enjoy this episode! ----- Links: * Momentum ----- Timestamps:  * 4:50 - Timing your disruption * 10:18 - The future of revenue * 26:14 - Importance of qualitative insights * 33:49 - Implementing AI into your org structure ------- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 7: In this episode of AI Unveiled, I speak with Jorn Vanysacker and Julien Steel at Henchman, a legal contract drafting and negotiating platform powered by AI.  Jorn learned some valuable lessons from his first startup. The product was too broad, needed customization, and they didn’t invest in mining insights from data. This time around, he and his co-founders wanted to build something that was truly plug-and-play and solve a narrow problem for end users. With this lens, they decided to build Henchman.  None of the founders had any legal experience and Jorn believes this beginner’s mindset has been a significant advantage in an industry ripe for disruption. It was a forcing function to obsess over speaking to and learning from customers.  Their product is a Word plug-in—a purposefully narrow UX for the end user. As lawyers draft complex contracts, Henchman provides edits and suggestions based on precedents—what someone in the firm has written in the past. With over 150 customers already, it’s working, and their focus is to make this narrow product better—more integrations with backend document management systems and better AI and insights.  Julien then speaks about the specific features and their federated approach to AI. One big change he sees in building AI-first products is the amount of time his team spends monitoring the output, customer feedback, and impact. It’s around 50% compared to 20% in his prior roles. I hope you enjoy this episode. ----- Timestamps: * 8:55 - What the law firm of tomorrow looks like * 12:50 - The value prop of a niche knowledge base * 17:32 - The AI powering legal tech  * 24:29 - Your beginner’s mindset is the key to customer obsession ------ Links: * Henchman ------ At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 6: In this episode of AI Unveiled, I speak with Dominik Kovacs, founder and CEO of Colossyan, an AI video platform for workplace learning that generates life-like avatars.  Before starting Colossyan, Dominik was working at the intersection of AI and video, as the Co-Founder of Defudger, a visual content authentication platform for the insurance industry. So we start this episode by discussing his background and why he then chose to build technology to create synthetic videos.  Their customers use Colossyan for formal learning, sales enablement, onboarding, and other internal communications. He discusses two direct benefits: lower costs than studio-produced video and higher engagement than text and screen-recorded videos. This enables more localization and personalization and manages content chaos. Synthetic videos can be edited programmatically at a later time, so instead of creating duplicates, outdated videos are updated.  I asked Dominik about the end user’s perception, how close we are to passing the Turing test, and what the implications may be. I also asked Dominik to compare what Colossyan does to general text-to-video services like Runway and PikaLabs.  We then get into the nitty-gritty of the models that power life-like avatars and how one can create a personalized avatar. They just released the ability to do this over a webcam that is available to everyone.  This was a fun episode discussing an impressive technology, with many powerful use cases, but also many questions about deepfakes and ethics.  I hope you enjoy this episode. ----- Timestamps:  * 2:36 - The journey to generating personalized avatars * 6:59 - The future of workplace training * 12:55 - Evaluating a human’s perception of avatars * 19:05 - How to build a lifelike avatar * 23:09 - Measuring accuracy in the uncanny valley * 27:19 - Innovating AI with Product and Engineering ----- Links: * Colossyan ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 5: In this episode of AI Unveiled, I speak with Satej Sirur, founder and CEO of Rocketium, an AI-driven CreativeOps platform sold to enterprises such as Amazon, Home Depot, and Jumia.  We start by defining what exactly creative ops means and why Satej believes a unified solution like Rocketium can save creative teams—especially in large companies—over half their time.  Rocketium started as a gaming content startup in 2015 and pivoted multiple times before finding PMF from gaming to consumer, to Indian enterprise to a US focus. However, the common thread was content production and each subsequent pivot felt smaller and provided confidence they were on the right track. Their largest customer now has almost $500K ACV.  Most of the time is spent discussing the role of AI in the future of creative production, and the opportunities for increased automation and intelligence. Satej sees multiple opportunities from better search and organization of visual content, generating intelligent variations as well as new creatives, to analytics that inform the ROI of advertising and creative campaigns.  Finally, we talk about how the creative process is repetitive loops of AI suggestions that are verified by humans. This provides both a natural feedback mechanism and a low negative impact if the model gets something wrong. This allows them to innovate rapidly.  This was a fun episode and I especially appreciated the entertaining analogies Satej made to Twinkies, cockroaches, and the five infinity stones. I hope you enjoy this episode. ----- Timestamps: * 1:38 - What is CreativeOps? * 10:59 - The cautionary tale of pivoting * 21:54 - The infinity stones of creative AI * 37:38 - How to build your AI pricing model ----- Links: * Rocketium ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 4: In this episode of AI Unveiled, Gaurav Kotak speaks with Tony Beltramelli, the Co-Founder and CEO of Uizard, a product design and ideation tool with over 2 million users. Tony believes great design is increasingly important to build successful products and that there aren’t enough designers to match that need. He wants to leverage AI so that product managers and non-designers can be an integral part of the UX and creative process.  Uizard got started in 2018, way before the gen AI frenzy. In this episode, we discuss why it took them a couple of years to launch the initial product and what gave them confidence they were on the right track. We then discuss the core capabilities of the product such as using computer vision to convert a screenshot into a fully editable design file, and how they constantly evolve their technology to take advantage of better foundational models. We also discuss how Uizard tackles ‘AI tourism’ where a large number of users sign up based on the appeal of a next-gen solution but may churn quickly. For example, at least 50% of their roadmap is on non-AI capabilities to ensure they tackle the workflow end-to-end.  Finally, we talk about the importance of investing early in distribution and constantly running multiple experiments. Early on, they invested in content and SEO for the original idea of using AI to turn ideation into design. Only years later, when OpenAI launched ChatGPT, did people search for these possibilities. Luckily, they already ranked highly and their traffic shot up.  Tony is extremely articulate both about his vision of AI-powered design and tangible advice in company-building for AI-first startups. Hope you enjoy this episode.  ----- Timestamps: * 4:51 - From alpha to beta: building your initial minimal viable AI * 9:26 - The future of product design * 17:30 - Uizard’s cutting-edge AI capabilities  * 25:56 - Ensuring you have a winning product before launch * 33:25 - Converting AI tourists ----- Links: * Uizard ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 3: In this episode of AI Unveiled, Gaurav Kotak speaks with Bram De Geyter , VP of Product and Jeroen Minnaert, Chief Software Architect from Showpad, a sales enablement platform with over 1,000 customers. Jeroen and Bram are Showpad veterans and are leading the charge of AI innovations at the company.  We first discuss how, in the longer term, they believe every organization will have a customized language model that describes their value proposition and all sales content and collateral will be created on the fly by prompting the model.  Creating content on the fly at zero marginal cost has multiple implications. The role of product marketers will shift from crafting pixel-perfect content to prompting the model and building audit and feedback mechanisms to evolve the model. Since it’s the first time that content is not curated or reviewed, it’s important to create guardrails including policies of what can be shared with customers and consistent design principles to clearly indicate this in the user interface. Bram also candidly discusses how incumbents like Showpad face some risk of being disrupted as content goes from static to dynamic. At the same, they have the opportunity to leverage their data and workflow to drive this shift.  We hope you enjoy this episode that covers both the big picture of where sales enablement is heading, as well as specific design and technology choices to build a scalable platform.  ----- Timestamps: * 4:40 - The future of sales enablement * 22:03 - Leveraging their AI-powered search index * 26:32 - The realities of non-curated AI-generated content * 37:22 - Personalizing LLMs * 41:24 - Measuring success in your AI capabilities  ----- Links: * Showpad ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 2: In this episode of AI Unveiled, Gaurav Kotak speaks with Lionel Barrow, Co-Head of Engineering, and Michelangelo D'Agostino, VP of Machine Learning at Tegus. Tegus is an investment research platform trusted by top hedge funds, PE, and VC firms. The platform includes over 60,000 expert transcripts, public company earnings calls, and presentations, as well as accurate financial models and KPIs.  They believe AI will bring a profound change in how financial research is done. From sifting through data to now surfacing insights based on past data, and where they are in the research funnel.  Both Lionel and Michelangelo are excited about the gold mine of data. The proprietary interview data on the Tegus platform is particularly interesting. In the interview, they note how important it is to balance fine-tuning or customizing the model with building an architecture that can easily plug in and avail of the latest foundational models.  They’ve started with a focus on applying AI to summarize and extract topics from specific calls, and are now adding AI-powered insights across an entire sector as well as automating part of their financial models.   We discuss how the company has different approaches for opinions (e.g. summary of a call) vs. facts (answering what revenue a company has)—whether it’s which models to use, how to assess quality, and when to rely on human-in-the-loop.  This episode provides a glimpse into the future of financial research. Enjoy! ----- Timestamps:  * 6:35 - How customer engagement evolves with AI * 12:30 - Advice on tackling accuracy through product strategy and machine learning * 25:21 - Incorporating human preferences into your AI * 37:12 - Bringing AI into your org structure ----- Links: * Tegus ----- At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com

Episode 1: With the recent rise of Generative AI, many are contemplating its implications: whether it’ll disrupt jobs, daily routines, and humanity to its core. Though AI is sometimes seen as the antithesis of what it means to be human—in this episode, we learn how mimicking humans is what makes a successful AI.  Gaurav Kotak sits down with Founder and CEO of Qatalog, Tariq Rauf, in this inaugural episode of AI Unveiled. Tariq and his team have created a fascinating product using methods some might initially deem counterintuitive: vector databases. They incorporate these into the foundation of their core product: leveraging AI and LLMs to dive into unstructured data. In this episode, you’ll hear what the necessary tech stack is for any AI-first company, how to implement advanced search through vast amounts of data, and how building your AI to mimic human intelligence is the secret ingredient to success. ----- Timestamps: * 4:34 - Searching without indexing: using AI to mimic how humans search for information * 6:06 - The limitations of a chat interface and customizing the UI on the fly * 14:26 - How to approach accuracy * 16:52 - The decision to move from GPT-4 to Llama 2 * 20:04 - The shift away from vector databases * 24:31 - How usage-based pricing ensures computation costs don’t eat into your margin * 29:25 - Impacts from the broader shift from inorganic (deterministic) to organic (probabilistic) software ----- Links: * Qatalog ----- Artificial intelligence is leading every company to reinvent itself. With innovation at every turn, organizations and consumers alike are imagining what’s around the corner. Will AI-first startups be able to leapfrog the incumbents? Or will those incumbents leverage their scale to rapidly infuse AI into their offerings? These are just some of the questions answered in Next47's new podcast: AI Unveiled. Hosted by Gaurav Kotak, Partner at Next47, AI Unveiled brings you the founders and tech leaders using AI to shape their industries and products. We delve into every aspect of the future of AI in SaaS—from technology, safety, and ethics, to business models, funding, and regulations. If you are serious about the future of SaaS, AI Unveiled is for you. At Next47, we partner with founders boldly building products that power the world. Learn more at Next47.com.

Introducing AI Unveiled: Artificial intelligence is leading every company to reinvent itself. With innovation at every turn, organizations and consumers alike are imagining what’s around the corner. Will AI-first startups be able to leapfrog the incumbents? Or will those incumbents leverage their scale to rapidly infuse AI into their offerings? These are just some of the questions answered in Next47's new podcast: AI Unveiled. Hosted by Gaurav Kotak, Partner at Next47, AI Unveiled brings you the founders and tech leaders using AI to shape their industries and products. We delve into every aspect of the future of AI in SaaS—from technology, safety, and ethics, to business models, funding, and regulations. If you are serious about the future of SaaS, AI Unveiled is for you.