People of Packaging · 18 Dec 2025 · 31m
Jamie Lo, co-founder and CEO of Laibl, explains how his platform uses AI to bridge the 'chasm' between legacy packaging suppliers and modern brands by automating sourcing and matching. He details the platform's 'Outcome as a Service' model, where suppliers pay commissions only upon successful transactions, incentivizing quality and responsiveness. The episode highlights how Laibl’s concierge agent vets over 4,000 North American suppliers to help brands find diverse, value-aligned partners quickly, addressing the inefficiencies of traditional RFPs and trade show networking.
Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Sourcing & supply chainLaibl sourcing conciergeover 4,000 suppliers matched in minutes
An AI agent interprets natural language requests to compile specifications and match brands with pre-vetted suppliers, reducing the sourcing time from months to minutes.
“What this does is it allows brands to make one request and it uses the AI to match them with the right type of supplier, starts to communicate with them as well.”
Speaker 2 · Hear it at 13:49
Sourcing & supply chainLaibl AI verification agents
AI agents are used to verify and vet new suppliers joining the platform to ensure legitimacy and quality before they are listed.
“So we've got AI, as well as us on the team, doing verification and vetting as people come into the platform. It's happening so quickly on the supplier side because they're seeing the benefit of being listed on a platform like this and being verified, that we're using agents a little bit more on that side…”
Speaker 2 · Hear it at 20:46
Running the company
The speaker notes that other software companies use AI to automatically fill out RFP questionnaires by pulling in previously submitted data, highlighting a competitive threat to manual processes.
“There's there's new softwares to also help fill out some of the RFPs based upon like all of the other information that you filled out. So it pulls in all the RVs you've responded to. Their software is popping up to do that.”
Speaker 2 · Hear it at 27:31
early-stage companies
Other shows on the same ground, closest first.
Markus Seibold, founder and CEO of MakerVerse, explains how his platform addresses the inefficiencies in industrial parts sourcing by matching buyers with vetted manufacturing suppliers. He details the pain points of manual RFQ processes and the difficulty small manufacturers face in accessing global markets, proposing MakerVerse's model as a solution that pools demand and enables capability expansion through networked production. Seibold also discusses the role of AI in automating quoting, supplier matching, and bridging unstructured data to streamline procurement workflows.
Matthew Haber, CEO and co-founder of Cofactr, explains how his company automates procurement and kitting for electronics manufacturers to solve supply chain inefficiencies. He details how the platform ingests bills of materials, sources parts from over 700 distributors, and provides managed kitting services to reduce manual labor. Haber discusses the platform's pricing model, which integrates existing negotiated rates while offering access to broader broker networks for hard-to-find components. He also highlights the importance of traceability, anti-counterfeit inspection, and how OEMs are adapting to supply chain volatility through design flexibility.
Sebastian Schaal, Founder and Managing Director of Luminovo, explains how his company targets the high-pressure quoting stage in electronics manufacturing to replace disconnected spreadsheets with connected, resilient operations. By standardizing part data across millions of SKUs and integrating live pricing, Luminovo helps EMS providers like BMK and Zolner cut response times and win on trust. Schaal details the evolution from a quoting tool to an always-on system that monitors price shifts, lead time volatility, and compliance risks, flagging exceptions for human action. The conversation highlights the strategic shift toward AI-driven automation, where confidence grows from alerts to one-click approvals, ultimately creating a 'glass pipeline' of shared visibility that reduces errors and captures savings.
Markus Seibold, co-founder and CEO of MakerVerse, explains how he spun off the company from Siemens Energy to create a digital platform for industrial manufacturing. He details MakerVerse's use of machine learning and AI for auto-quoting, supplier selection, and predictive supply chain management to solve inefficiencies in on-demand manufacturing. The platform serves scale-ups and mid-sized companies by providing access to a vetted global supply chain covering additive, CNC, and sheet metal technologies.
Timon Ruban, Co-Founder of Luminovo, discusses the evolution of AI in electronics manufacturing, contrasting early hype with current practical applications enabled by large language models. He explains that successful implementation requires balancing comprehensive data context with specialized tools, such as part search APIs, to verify AI proposals. Ruban highlights Luminovo's focus on extracting structured data from unstructured sources like PDFs and emails, and developing 'agentic workflows' where AI assists human decision-making in supply chain management rather than replacing it.
The summary, chapters and topics are generated from the episode’s audio by this directory, not written by People of Packaging. The episode itself belongs to its publisher.