AIP Podcast

AIP Podcast EP 79 - Accelerating MVP Development with AI-Augmented Engineering by Codalio

This episode’s guest, Ehsan Mirdamadi, Co-Founder and CEO of Codalio [https://www.codalio.com/], joins host Anne to explore the realities behind the rise of agentic AI and “vibe coding.” Ehsan shares his journey from early cloud computing pioneer to startup advisor, and how those experiences led him to build Codalio—an AI-augmented platform designed to help founders move from idea to enterprise-ready product faster and more efficiently. He dives into the challenges non-engineers face when building software without strong architectural foundations, and why systems thinking, product clarity, and structured development still matter in an AI-driven world. Ehsan also discusses how Codalio helps startups reduce MVP development costs, accelerate time-to-market, and shift focus toward commercialization and customer validation. Tune in to learn how Codalio is bridging the gap between innovation and execution, empowering startups to build smarter, scale faster, and succeed in today’s rapidly evolving AI landscape. Follow AIP Affiliate, Codalio Website: https://www.codalio.com/ [https://www.codalio.com/] LinkedIn: https://www.linkedin.com/company/codalio/ [https://www.linkedin.com/company/codalio/] Follow AI Partnerships Corp. Website: https://www.aipartnershipscorp.com/ [https://www.aipartnershipscorp.com/] LinkedIn: https://www.linkedin.com/company/aipartnershipscorp/ [https://www.linkedin.com/company/aipartnershipscorp/] X: https://twitter.com/AIPartnerships [https://twitter.com/AIPartnerships] The AIP Podcast is hosted by Anne Cheng, on behalf of the AI Partnerships Corporation, a Railtown company

AIP Podcast EP 78 - AI-Powered Manufacturing Quality with Acerta’s Real-Time Root Cause Detection

This episode’s guest, Greta Cutulenco, Co-Founder and CEO of Acerta [https://acerta.ai/], joins host Anne to explore how AI is transforming quality and decision-making in manufacturing. Greta shares her journey from automotive engineer to AI founder, and how firsthand experience with slow, manual quality processes inspired her to build Acerta’s LinePulse platform. She explains how combining machine learning with production, process, and quality data creates a “digital fingerprint” for every part, enabling manufacturers to detect issues in real time, reduce rework, and prevent costly defects. Greta also dives into real-world results, including major improvements in scrap, throughput, and root cause analysis for global manufacturers. Plus, she offers a practical perspective on the future of AI in manufacturing—why human expertise remains essential, and how AI is augmenting, not replacing, the workforce. Tune in to learn how Acerta is helping manufacturers unlock faster insights, better quality, and smarter operations at scale. Find out more here: https://acerta.ai/case-study/solving-multi-plant-quality-issues-at-dana/ [https://acerta.ai/case-study/solving-multi-plant-quality-issues-at-dana/] Follow AIP Affiliate, Acerta Website: https://acerta.ai/ [https://acerta.ai/] LinkedIn: https://www.linkedin.com/company/acerta-systems-analytics/ [https://www.linkedin.com/company/acerta-systems-analytics/] Follow AI Partnerships Corp. Website: https://www.aipartnershipscorp.com/ [https://www.aipartnershipscorp.com/] LinkedIn: https://www.linkedin.com/company/aipartnershipscorp/ [https://www.linkedin.com/company/aipartnershipscorp/] X: https://twitter.com/AIPartnerships [https://twitter.com/AIPartnerships] The AIP Podcast is hosted by Anne Cheng, on behalf of the AI Partnerships Corporation, a Railtown company

AIP Podcast EP 77 - Reverse RAG and Deterministic AI Infrastructure by Formic AI

This episode’s guest, Daniel Escott, CEO of Formic AI [https://www.formic.ai/], joins host Anne to tackle one of the most urgent challenges in artificial intelligence: hallucinations and the trust gap in enterprise AI. Daniel shares his unexpected journey from federal court law clerk to CEO of an AI Company, where drafting AI guidelines for Canada’s Federal Court sparked a deeper mission to solve the reliability crisis facing generative AI across law, finance, government, and other high-stakes industries. Daniel explains how Formic AI’s groundbreaking deterministic and observable architecture flips traditional retrieval-augmented generation (RAG) on its head. By identifying and validating source material before passing information to a language model, Formic’s reverse RAG framework eliminates fabricated citations, increases explainability, and delivers verifiable, trustworthy outputs that professionals can rely on. The conversation also explores Formic’s innovative Explainable Language Model (XLM) architecture — a neurosymbolic, graph-based system that dramatically reduces GPU dependence and cuts energy consumption by orders of magnitude. Daniel makes the case that the future of AI must not only be safe and reliable, but also clean, ethical, and energy-efficient. Follow AIP Affiliate, Formic AI Website: https://www.formic.ai/ [https://www.formic.ai/] LinkedIn: https://www.linkedin.com/company/formic-ai/ [https://www.linkedin.com/company/formic-ai/] Follow AI Partnerships Corp. Website: https://www.aipartnershipscorp.com/ [https://www.aipartnershipscorp.com/] LinkedIn: https://www.linkedin.com/company/aipartnershipscorp/ [https://www.linkedin.com/company/aipartnershipscorp/] X: https://twitter.com/AIPartnerships [https://twitter.com/AIPartnerships] The AIP Podcast is hosted by Anne Cheng, on behalf of the AI Partnerships Corporation, a Railtown company

AIP Podcast EP 76 – Deploying Agentic AI Applications Across Any Cloud with Defang

This episode’s guest, Prakash Sundaresan, Co-Founder and CEO of Defang [https://defang.io/], joins host Anne to unpack the growing complexity of cloud deployment in the era of agentic AI. Drawing on nearly three decades of experience across Microsoft, AWS, and multiple startups, Prakash shares what inspired him to build Defang and tackle one of the most overlooked challenges in modern AI adoption: deploying applications securely and efficiently inside customer cloud environments. He explains why agentic applications fundamentally change traditional SaaS deployment models, how data sovereignty and compliance are reshaping cloud strategies worldwide, and how Defang enables developers to deploy agentic apps across clouds using a simple, standardized approach. Tune in to learn how Defang is helping startups and enterprises deploy faster, scale globally, and focus on building great AI applications—without getting lost in cloud complexity. Follow AIP Affiliate, Defang Website: https://defang.io/ [https://defang.io/] LinkedIn: https://www.linkedin.com/company/defanglabs/ [https://www.linkedin.com/company/defanglabs/] Follow AI Partnerships Corp. Website: https://www.aipartnershipscorp.com/ [https://www.aipartnershipscorp.com/] LinkedIn: https://www.linkedin.com/company/aipartnershipscorp/ [https://www.linkedin.com/company/aipartnershipscorp/] X: https://twitter.com/AIPartnerships [https://twitter.com/AIPartnerships] The AIP Podcast is hosted by Anne Cheng, on behalf of the AI Partnerships Corporation, a Railtown company

AIP Podcast EP 75 - Smarter Faster More Collaborative RFPs that Win with Trampoline

This episode’s guest, Edouard Reinach, Founder and CEO of Trampoline [https://www.trampoline.ai/], joins host Anne to explore one of the most overlooked yet mission-critical challenges in enterprise operations, which is the chaos of RFP responses. Edouard shares his unexpected journey from teenage coder and global communicator to AI founder, shaped by curiosity, diverse international experiences, and a drive to solve real operational bottlenecks. He breaks down why RFPs are the ultimate stress test for AI and explains how Trampoline transforms a messy high high-stakes, and highly collaborative process into a streamlined workspace powered by advanced AI that reads complex RFPs, extracts requirements, engages subject matter experts, and drafts high-accuracy responses so teams can focus on strategy instead of manual effort. Edouard also addresses common concerns about generative AI by explaining how Trampoline eliminates inaccuracies through expert validation, continual knowledge capture, and a workflow that augments teams rather than replacing them while also creating structured data that can reveal capability gaps and market opportunities.  Follow AIP Affiliate, Trampoline Website: https://www.trampoline.ai/ [https://www.trampoline.ai/] LinkedIn: https://www.linkedin.com/company/trampolineai/ [https://www.linkedin.com/company/trampolineai/] Follow AI Partnerships Corp. Website: https://www.aipartnershipscorp.com/ [https://www.aipartnershipscorp.com/] LinkedIn: https://www.linkedin.com/company/aipartnershipscorp/ [https://www.linkedin.com/company/aipartnershipscorp/] X: https://twitter.com/AIPartnerships [https://twitter.com/AIPartnerships] The AIP Podcast is hosted by Anne Cheng, on behalf of the AI Partnerships Corporation, a Railtown company