Korso

The Intelligence Layer for Manufacturing.

Spring 2026ActiveB2BOperationsArtificial IntelligenceSaaSManufacturingSan Francisco, CA, USA

Company

Korso builds AI agents that handle the operational work manufacturers still do manually, including processing RFQs, following up on quotes, coordinating with suppliers, and keeping production on track when things go wrong. Our agents plug into your existing ERP and CRM, understand your workflows, and act on your behalf: triaging incoming requests, chasing delayed orders, notifying customers, and escalating when human judgment is needed. We built Korso around the reality that enterprise systems cannot afford mistakes. Every agent action passes through verification layers, tools are scoped, and critical operations go through dry-run validation and secondary review. Full audit trails mean you can see exactly what was done, why, and when. Most AI automation breaks down at the ERP integration layer. Korso's orchestration is built for the messiness of real manufacturing systems, with long-running workflows that span weeks and checkpointing that never loses progress. Instead of replacing your systems, Korso makes them work harder, so your team spends less time on coordination and more time on the work that actually matters.

Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.

Verdict

High Signal

Market Opportunity

Manufacturing operations software is a massive B2B market — global ERP/MES/supply chain software alone is $50B+. The ICP is clear (mid-to-large manufacturers running ERP/CRM systems) and the pain point (manual coordination, RFQ processing, supplier follow-up) is real and well-documented. Enterprise manufacturing automation has strong monetization potential via SaaS or usage-based pricing.

Medium Signal

Founder Signal

Martin Pan has a BS+MS in Mechanical Engineering/Robotics from Penn and was an automations engineer at General Motors — domain-relevant experience in manufacturing. However, LinkedIn data is unavailable for all three founders, so depth of experience for Daichi Hiraoka and Alex Liu is entirely unknown. The GM background is a meaningful signal for manufacturing credibility, but the team is largely opaque.

Medium Signal

Competition

No competitor data was returned, but the space has real players: Plex, Tulip, Parsable, and general AI workflow tools like Zapier/Make are adjacent. Larger threats include SAP and Oracle building AI agents natively into their ERP suites. Korso's stated differentiation — ERP-native orchestration with audit trails and dry-run validation — is a plausible but unproven moat.

Low Signal

Product

No named customer logos, no pricing page, no demo, no revenue or usage metrics. Landing page describes capabilities (RFQ processing, supplier coordination, ERP integration) but nothing is verifiable. Pure description with no evidence of live deployment or paying customers.

OverallC Tier

Korso is targeting a real, large market with a credible technical angle — ERP-integrated AI agents with verification layers is the right narrative for cautious enterprise buyers. Martin Pan's GM automations background gives some domain credibility, but two of three founders are completely opaque and there is zero visible traction: no customers named, no revenue figures, no live product evidence. The ERP integration problem they cite as a differentiator is legitimate, but several well-funded competitors already own those integrations. This is a promising thesis with an under-evidenced team and no proof of execution yet — solid B or C until they show paying customers.