Building an AI-native order-to-cash network with Nuvo I Enginears Podcast

Welcome back to another Enginears podcast, this week I’m joined by Valliappa Lakshmanan, Co-founder and CTO of Obin AI. Obin AI provides an end-to-end platform to reimagine, build, and manage production-grade AI agents inside your own environment, scaling the capacity and judgment of your best people firm-wide, specifically in the Finance space.- Intro into Valliappa and his background.- Intro into Obin AI and the problem spaceo “Finance requires repeatability. Obin AI looked at why agentic AI is working in coding and used it as inspiration to build themselveso “Customers Outcomes” and what production looks like at scaleWhat Obin AI are building forWho Obin AI are building foro Walk us through the relationship between Finance <> AgentsChallengesBuilding primitivesRemoving manual workflowsAccuracy / Resiliencyo Walking us through some of the engineering challengeso Walking us through “the future of finance <> AI/Agents” in your eyesObin AI's hiring and growthIf you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/valliappalakshmanan/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

This week we are joined by Jon Sheller (Head of Engineering) and Brian Jadot (Staff Engineer) at Nuvo. Nuvo are building an AI-native and agentic trade operation underpinning onboarding, accounts recievable, credit and risk management and much more packed into this network.Intro into Brian and Jon's background.Intro into Nuvo and the problem space / mission.Key engineering challenges that underpin the network (Payments, AI, Product, Network)The incumbernt and what's being disruptedThe network and why/how it's being builtThe agentic layer and some of the value unlocks and challengesHardest challenges they're solvingEngineering culture and business strengthHiring in SF/NYC.If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/bryan-jadot-00063426/ + https://www.linkedin.com/in/jon-sheller/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

This week I'm joined by Arnav Mishra, who is co-founder and CTO of DOSS. We are exploring the world where AI meets ERP and how DOSS are transforming the ERP landscape and the challenges that come with.Introduction into the problem space of ERP and the problems you’re solving.Historical ERP costs, consultancies and fragmentation and why the problem space is ripe for innovation.The way in which DOSS are re-building ERP from the ground up; There's a great SDLC analogy they stand by.Arnav helps us understand what “great” looks like for DOSS.Understanding some of the engineering challenges, particularly around data, the right data and scale at DOSS.How do engineers think in the abstract ways to build ANY business application.Building blocks, pattern matching, distribured systems, folder builders, UI/UX, agents, Distributed systems etcArnav helps us understand what/if any challenges you’ve walked into with the rise of: AIDeploying custom built software / module based, low-code software- From a technology/customer standpoint – where are you placing bets on the next 6-12 months?- Hiring and growth at DOSS and why you should join?If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/arnav-mishra/DOSS Blog: https://www.doss.com/eng-blogPowered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

This week I’m introducing Benny Chan, Co-founder and CTO at Fireworks AI. Building with Fireworks provides a platform for partners and developers to optimise for speed and scale, whatever their use case, whatever the model.- Who are Fireworks and what are they building?- The Fireworks platform, their use cases (agentic systems, conversational), pricing, partners and we walked through what they are building and why.- OSS + AI Models; Why Fireworks are so passionate about model quality, it’s improvements and customer centricity.- Where’s model speed, quality etc moving towards in the next 6 months?- What are your bets for “AI” for the next 3-6 months? (Feel free to choose the path we can this down)If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/benny-yufei-chen-2238575a/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

Another Enginears podcast welcoming Austin Shepphard, Head of Engineering at Hypha, to talk about building AI-powered financial infrastructure, scaling modern data systems, and rethinking how companies operate with AI-native tooling. We’ll dig into engineering tradeoffs, product decisions, and what it takes to build reliable systems in an AI-first world.Intro into Hypha and the problem space they are tackling.Hypha is an AI-native asset intelligence platform designed for the modern investor that transforms fragmented investment workflows into structured, actionable insights across the asset lifecycle,Core use cases and the evolvement of the space coupled with AI (discussing pivots and ICP's)Key engineering challenges in AI-native financial infrastructureBalancing speed vs reliabilityAgents + ToolingEngineering CultureHiringIf you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/austin-sheppard/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

Ben joined us as CTO and Co-founder of Peregrine Technologies. Ben and Nick, fellow Co-founder spent years building data infrastructure for refugee populations and deploying technology in some of the world's most complex security environments. Peregrine was founded to build mission-critical data infrastructure for law enforcement, health, and human services — and we’re going to be exploring what happens when AI enters that world and why that's so critical now for public service organizations.Intro into Ben and his backgroundSetting the scene for Peregrine, the problem space and the missionIntroduction into an example technology use case and solutionThe enormity of the real-time data + hard to access challenge for public servicesIn-step of Peregrine and the product they have builtThe impact of AI on public service organizations.The role a Forward Deployed / Deployment Strategiest plays and has always played.If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/brudolph/Careers: https://job-boards.greenhouse.io/peregrinetechnologiesPowered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

This week I'm joined by John Larkin, Head of Engineering at Rebar. Rebar are driving AI and Computer Vision into Construction Software to help innovate and build faster with tighter collaboration. We unpacked the impact they are having in the construction industry, the enormity of the engineering challenge and some of how they are building.Intro into John and his background.Intro into the problem space of constructionIntroducing AI and CV into ConstructionTechnical challenges they face at Rebar and whyTypes of problems they're solving and the people they are looking for to help them solve them.If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/johnlarkin1/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

We welcomed Dan Schiebler, CTO and Co-Founder Artemis Security. Today we'll be talking about the unique technical problems and scale at Artemis, what it means to build with an "AI-native approach," and how they've built a team with an extremely high bar for talent to tackle these complex challenges.Intro into Artemis Security and the problem spaceDan's background at Twitter (X), Abnormal AI and founding Artemis.Understanding the technical landscape of "noisy data" and enormous scaleHow to build a high bar technical team and why in today's AI-native landscapeIf you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/dan-shiebler-10219b42/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

The workforce management and customer support world has been widely spoken about as one of the areas to change in the age of AI. This week we are welcoming John Wang from Assembled to talk to us about the journey of building Assembled (workforce management platform), key engineering/design choices to reducing AI spend. We’ve got a great breakdown in the show of what it’s like to go from processing tens of billions of tokens daily to achieving "LLM frugality," the key engineering challenges faced, and the future of using AI to improve infrastructure.Intro into John's background and Assembled's missionCustomer Operations has been widely reported as an area to change in the AI; what's his frontline view of this and what is actually happening?How they built the Assembled platform?Spotting an opportunity to keep performance high but reduce AI spend without impacting customer experience and why these decisions were madeWe broke down the engineering challenges of replacing modelsFuture bets on agents, infrastructure in AI and where Assembled are heading.If you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/johnjianwang/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.

This week I’m joined by Matt Lynch, CTO and Co-founder of Sage. Sage are bringing technology modernisation and Applied AI to the healthcare // care home industries. Matt is an ex-Palantir alumni, raised a $35M in Q1 2025, we’re going to be getting under the hood of some of the challenges in the technology <> healthcare intersection.We broke down the problem space of healthcare technology and how it needed a refresh.o   Hardware <> Software Interoperability in healthcareApplying AI to thatLegacy Systems + Integration with cloud native + AI solutions/tools.o   Engineering culture + challenges inside of Sage (product/platform challenges; mindset; FDE approach etc)o   Velocity of people able to build with 2 people ino   Anticipated technical/problem spaces to come in the healthcare spaceFuture of Healthcare and what experts think the outlook might look like from a technology standpoint.Future plans for growth for Sageo   Hiring Goals in NYCo   Geographic ExpansionIf you're keen to share your story, please reach out to us!Guest: https://www.linkedin.com/in/lynchmattj/Powered by Artifeks!https://www.linkedin.com/company/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginearsHosted on Ausha. See ausha.co/privacy-policy for more information.