Dayjob
Spring 2026 NewAI Agents for Industrial Logistics
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.
AI Investor Summary
Dayjob is building autonomous AI agents for industrial logistics, focusing on real-time route re-optimization for transport operations. Led by a highly technical team with backgrounds at Google and Meta, they've demonstrated significant efficiency gains for early customers in waste management. The company is well-positioned to capitalize on the growing demand for AI-driven optimization in a large and critical market.
Key Highlights
- ● Exceptional founding team with strong technical backgrounds from top tech companies and universities.
- ● Addresses a large and critical market (industrial logistics) with a timely AI solution.
- ● Demonstrated early customer success with tangible efficiency gains.
Risk Factors
- ● Lack of explicit domain expertise in industrial logistics for the founding team.
- ● Traction metrics are not detailed enough to fully assess commercial momentum and scalability.
- ● The competitive landscape, while not fully detailed, is likely to be challenging with established players and other AI startups.
Founders
George Postlethwaite is the co-founder of Dayjob, a Y Combinator startup focused on AI-powered hiring. He has a background in engineering and product development, with previous experience at prominent tech companies. His work at Dayjob aims to revolutionize the recruitment process through intelligent automation.
Fred Fooks is a co-founder of Dayjob, a Y Combinator startup focused on AI-powered job matching. His background includes extensive experience in engineering and product development, with a strong emphasis on leveraging technology to solve complex problems. He has a proven track record of building and scaling innovative solutions.
Score Breakdown
Strong technical team with exceptional pedigrees from Google and Meta, and top-tier CS education from Stanford and Berkeley. George's prior YC experience is a plus. The founders have deep technical expertise and relevant product development backgrounds, which is crucial for building complex AI systems. Domain expertise in logistics is not explicitly stated, but their ability to attract talent and secure early wins suggests they are learning quickly. [Boost +1: Founder from Google; Founder from Google]
Large addressable market in industrial logistics, a sector ripe for optimization and automation. The timing is excellent with increasing pressure on supply chains and a growing acceptance of AI solutions. Regulatory tailwinds around efficiency and sustainability could also benefit the company. Competition exists, but the focus on real-time re-optimization with AI agents is a differentiated approach. [Boost +0.5: Hot sector: ai]
Product shows promise with a clear value proposition of real-time re-optimization and demonstrable efficiency gains (8%+). The technical differentiation lies in the autonomous AI agents and continuous re-optimization, which is more advanced than static planning. Defensibility could be built through proprietary algorithms and network effects as more data is ingested. UX quality is unknown, and platform potential is good given the integration with ERPs, but needs further development to be a true platform.
Early stage with positive press coverage and a YC acceptance, indicating strong investor interest. The mention of 'customers in waste management' and '8%+ efficiency gains' suggests early validation, but specific revenue figures, user growth rates, and concrete partnerships are not provided, making it difficult to assess the true commercial momentum. The 'Customer Success Manager' role being highlighted as news is a neutral indicator of early team building. [Boost +3: Tier-1 VC: accel; Revenue/ARR mentioned]
News
Dayjob is hiring a Customer Success Manager to manage mid-market accounts and help build their CS function, focusing on driving AI-driven routing efficiency for industrial logistics clients.
Dayjob, an AI-powered scheduling platform, has joined Y Combinator's Spring 2026 batch, receiving $500k in funding from the accelerator.
Dayshape is collaborating with Microsoft to integrate AI-driven staffing tools into Microsoft Teams and Microsoft 365 Copilot, allowing firms to query staffing availability, schedules, and skills using natural language.
Coastal Recycling UK has seen significant efficiency gains, with their transport manager reporting a 5-10% increase in jobs completed per hour during a pilot period using Dayjob's AI scheduling through PurGo.
Dayjob offers an AI-powered scheduling platform for skip hire companies designed to optimize routes, reduce costs, and increase daily productivity by integrating with existing ERP systems.
Dayjob is an AI scheduling platform for the waste and recycling industry, focused on democratizing advanced AI scheduling and has secured $1.2m in funding.
Dayjob uses AI to automatically generate and adapt skip hire schedules, optimizing routes and reducing idle time, with reported improvements in on-time delivery rates and annual revenue.
Dayjob builds autonomous AI workers for transport operations, with their scheduling agent plugging into existing ERPs to continuously re-optimize routes in real-time, leading to efficiency gains for waste management customers.
Dayjob offers AI scheduling for dumpsters, aiming to boost revenue by 11% and reduce rolled jobs by 66% by optimizing routes and enabling dynamic in-day planning for waste management companies.
VWS Software Solutions has partnered with Dayjob, an AI-powered scheduling platform, to enhance control, flexibility, and visibility for waste and recycling operators by integrating Dayjob's planning tools with VWS's PurGo ERP capabilities.
Quick Info
- Batch
- Spring 2026
- Team Size
- 5
- Location
- London, England, United Kingdom
- Founders
- 2
- Scraped
- 4/10/2026