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Dayjob

Dayjob

AI Agents for Industrial Logistics

Spring 2026ActiveB2BSupply Chain and LogisticsLondon, United Kingdom
Dayjob builds autonomous AI workers for transport operations. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.

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
Industrial logistics and transport operations is a massive B2B market — global logistics software market is well north of $10B TAM. Clear ICP: waste management operators and broader industrial transport fleets. ERP integration reduces friction for enterprise sales. Efficiency gains translate directly to cost savings, making ROI-based pricing straightforward.
Medium Signal
Founder Signal
George has strong operational credibility: early employee at Deliveroo (acquired by DoorDash 2025), launched UK grocery business, and led sales at VC-backed Otta. He also previously co-built Gaea, an ERP for e-waste recyclers — directly relevant domain experience. Fred built Gaea from scratch (technical credibility), studied Engineering Science at Oxford, and has AI/Data Science background at Deloitte and Capgemini. Fred's consulting background is a mild concern for a technical co-founder, but building Gaea from scratch and the Oxford engineering degree partially offset it. Neither LinkedIn profile is available to verify depth, and George appears primarily commercial/operational rather than technical.
Medium Signal
Competition
No competitor data surfaced from research, but this space has incumbents like Routemaster, Paragon (Aptean), Descartes, and emerging AI logistics players like Samsara and project44. Differentiation appears to be autonomous real-time re-optimization vs. traditional static route planning tools, plus domain-specific focus on waste management/industrial. Moat is thin unless they build proprietary operational data or deep ERP integrations.
Medium Signal
Product
Claims 8%+ efficiency gains from day one for waste management customers, suggesting live deployments with real data. Scheduling agent plugs into existing ERPs with real-time re-optimization. However, no named customer logos, revenue figures, demo, or API docs are visible — specific metrics are promising but unverified.
OverallB Tier

Dayjob has a compelling domain-specific angle — waste management logistics is an underserved niche with clear ROI, and the founders have directly relevant prior experience building an ERP for e-waste recyclers (Gaea). George's Deliveroo pedigree and Fred's from-scratch build of Gaea are real signals. The 8%+ efficiency claim suggests live customers, but no named logos, revenue numbers, or verifiable traction data are provided. The team is slightly lopsided — George is operationally strong but not technical, and Fred's engineering depth via consulting is less proven than a pure engineering background. With real customers and clearer traction evidence, this could be an A.

Active Founders

George Postlethwaite
George Postlethwaite
CEO and Co-Founder

Building Dayjob - autonomous AI agents that run transport operations in real time. Before this, I built Gaea, an ERP for e-waste recyclers. I was an early employee at Deliveroo (acq. Doordash 2025) and launched their UK grocery business, and previously led sales at Otta (LocalGlobe-backed job search platform).

Fred Fooks
Fred Fooks
CTO & Co-Founder

Building Dayjob - autonomous AI agents that run transport operations in real time. Previously built Gaea, an ERP for e-waste recyclers, from scratch. Engineering Science at Oxford. Background in AI and Data Science at Deloitte and Capgemini.

Dayjob
Dayjob
TierB Tier
BatchSpring 2026
Team Size5
StatusActive
LocationLondon, United Kingdom
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