Construction Technology Podcast

This episode covers Nomic's pivot to verticalized AI for construction, and the broader question of how to build useful AI products in AEC. The conversation works through two paths: training custom models, or harnessing foundational ones. We get into Rich Sutton's Bitter Lesson, why the harness around the model does most of the heavy lifting in construction use cases, how to benchmark the full harness, the change management work that determines whether a rollout sticks, and why outcome-based billing becomes more plausible as these systems embed deeper into preconstruction workflows.TakeawaysDomain-specific harnesses drive most of the performance gains in verticalized AIBenchmarks should measure the full harness, including retrieval, prompting, and tool useChange management is typically the binding constraint on AI adoption in constructionOutcome-based pricing becomes viable once AI owns the deliverable end to endThe biggest win for estimators and PMs is reduced mental load on repetitive review workChapters00:00 Introduction and pivot to AEC04:58 Debate on LLMs in construction10:50 Building custom models15:57 Harnessing foundational models21:01 Rich Sutton's Bitter Lesson26:01 Scaling compute and harnesses31:56 Why the harness matters41:50 Efficiency and time savings56:28 Impact on professional workflows

The conversation covers the challenges faced by the construction industry and the impact of technology on addressing these challenges. It delves into the inspiration and backstory of Trayd, the complexities of construction back offices, the value proposition of Trayd, and the impact of automation on back office operations. Additionally, it explores the complexity of construction payroll, the value for mid-market contractors, the integration with project management software, the transition from paper timecards to digital, the role of strategic investors and Y Combinator, misunderstandings and critiques, and the issue of predatory lending in construction. Finally, it discusses the impact of financial tools on workers and the upstream benefits for general contractors and owners in construction projects.TakeawaysConstruction industry challengesImpact of technology on construction industry Efficiency in payroll processingImpact of technology on construction industryChapters00:00 Introduction and Series A Congratulations05:00 Impact on Back Office Operations10:31 Multi-Jurisdictional Payroll Complexity17:05 YC's Approach and Construction Industry24:24 Transition to Digital Payroll31:17 Complexity of Construction Industry38:09 Trade Agnostic Approach44:37 Exciting Developments in Construction

The conversation covers a range of topics including the introduction of AEC Foundry, foundational models, industry trends, quality assessment, transparency in AI workflows, defining success in QAQC, benchmarking and training models, ROI and impact of AI technologies, limitless intelligence, and AI adoption for small, medium, and large firms. TakeawaysAI adoption in the AEC industry is driven by efficiency gains and outcome-based pricing is seen as the future of the industry.Small and medium firms can benefit from AI tools in a meaningful way, while large enterprises need to focus on making their data AI-readable and building foundational infrastructure.The impact of AI technologies on AEC firms will result in a transition period where firms can capitalize on efficiency gains before the industry evolves to outcome-based pricing. Challenges and opportunities in outcome-based pricing for AECThe need for benchmarking and value creation in AI companiesChapters00:00 Introducing AEC Foundry07:13 Quality Assessment and Benchmarking12:14 Accuracy and Bifurcation in Products and Services18:01 Benchmarking and Training Models25:35 Limitless Intelligence and Structural Advantages31:27 Outcome-Based Pricing in AEC40:08 AI and Data in AEC Startups46:16 Value of AI in AEC52:09 AI Companies in AEC

The conversation primarily explores the concept of ontologies in construction technology, exploring the distinction between custom workflows and off-the-shelf solutions. It also addresses the challenges and considerations associated with ontologies, the scale of implementation by companies like Palantir, and the role of payment software in custom workflows. Additionally, it discusses the decision-making process for choosing between off-the-shelf and custom solutions, as well as the potential for custom workflows to drive revenue generation in the construction industry. We also talk about AI implementation, and the value of onboarding and education. It explores the complexity of construction projects and the role of last-mile implementation, customization, and revenue drivers in construction tech solutions. Additionally, it discusses the value creation and monetization challenges in construction tech, as well as the impact of AI on staffing and project management. The importance of employee training and education, as well as the role of pre-construction as a revenue team, are also highlighted.TakeawaysOntologies in construction technologyCustom workflows and off-the-shelf solutions Construction tech revenue driversChallenges of AI implementation in constructionValue of onboarding and education in constructionChapters00:00 Introduction and Ontologies in Construction05:56 Ontology vs. ERP Implementation11:56 Challenges and Considerations with Ontologies18:04 Payment Software and Custom Workflows23:48 Custom Workflows for Revenue Generation29:14 Consultants and Custom Software in Construction36:04 Efficiency and Staffing in Construction Projects43:59 Tying Construction Tech to Revenue Drivers

The conversation explores the challenges of multi-year deals, the impact of AI on contract terms, the evolution of construction specifications and standards, and the enforcement of IP rights in construction. It also explores the ownership and use of construction data in the context of AI and technology.TakeawaysConstruction technology podcast discussionsChallenges with multi-year dealsImpact of AI on contract terms and exclusivityEnforcement of IP rights in constructionEvolution of construction specifications and standardsOwnership and use of construction data

In this episode, Mike, Andrew and Luigi talk about:Claude having its "moment" in ConstructionThe role of the CM in the futureWhat happens to undifferentiated general contracting

The conversation covers construction technology trends, including the growth and slowdown of data centers, the impact of AI and automation in construction, and the adoption of robotics in construction. It explores the potential impact of AI and robotics on the construction industry and the challenges and opportunities associated with these technological advancements. TakeawaysConstruction technology trendsImpact of AI and robotics in construction Impact of Lane Keeping AssistAdoption of AI in ConstructionRole of AI in ConstructionChallenges of AI Adoption in ConstructionChapters00:00 Construction Technology Trends11:59 AI and Automation in Construction25:01 Adoption of Robotics in Construction46:03 Role of AI in Construction51:14 Challenges of AI Adoption in Construction

The discussion highlighted the potential consequences of AI on job roles and the complexities of data ownership and access through APIs.TakeawaysConstruction industry's adoption of AI and technologyChallenges and opportunities of AI and technology in construction Impact of AI on EmploymentAPI Access and Data OwnershipChapters00:00 Adoption of AI and Technology in Construction13:25 Palantir's Entry into Construction Technology25:06 The Role of AI in Construction Workflows32:14 Impact of AI on Employment52:42 API Access and Data Ownership

The podcast discussion covers the topics of AI in construction, the rebranding of Autodesk Construction Cloud to Forma, and the shift of general contractors towards offering value-added services. It explores the concept of GMP (Guaranteed Maximum Price) contracts and the complexities of risk management in construction projects.TakeawaysAI adoption in construction requires a cautious approach and a focus on efficiency and time savings.The rebranding of Autodesk Construction Cloud to Forma signals a strategic shift towards offering design-build services and a unified platform.General contractors are shifting towards offering value-added services to increase profitability and address fee erosion. Risk management in construction projectsImpact of expanding service lines on construction projectsChapters00:00 General Contractors' Shift to Value-Added Services33:25 Vertical Integration and Market Dominance44:27 Challenges of GMP Contracts

The first episode of the construction technology podcast with Luigi La Corte, CEO of Provision. Mike Powers, CEO of BuildVision. And Andrew Zukoski, CEO of Join. They discuss the role of agentic AI in construction tech, the challenges in pre-construction workflows, the impact of AI on proposal generation, and the future of construction tech and AI. It also explores the potential for liability absorption, the durability of established construction tech platforms, and the impact of new solutions on established platforms.TakeawaysAgentic AI in construction techThe future of contract review and liability in construction tech Data centers are a rapidly growing segment in constructionAI and technology are impacting the construction industryRevenue multiples for SAS companies within construction are compressingChapters00:00 The Trend of Contract Review in Construction Tech33:05 Rise of Data Centers in Construction46:07 Predictions for the Future of Construction and Technology