Didero Raises $30M to Deploy AI Agents Across Enterprise Procurement Infrastructure
Didero has secured $30 million in Series A funding to deploy AI agents that autonomously execute procurement workflows for manufacturers and distributors, addressing a manual operations bottleneck that has resisted traditional automation approaches.
The round was co-led by Chemistry and Headline, with participation from M12, Microsoft’s Venture Fund, signaling enterprise validation for agentic AI infrastructure in supply chain operations. With 30+ customer deployments since founding in December 2023, Didero represents a shift from reactive procurement tools to proactive autonomous execution systems.
Procurement’s Manual Operations Bottleneck
Procurement teams at manufacturing companies manage thousands of supplier interactions across fragmented systems—email chains, ERP platforms, spreadsheets, and phone calls—with most coordination still handled manually. The AI in procurement market, valued at $1.9 billion in 2023, is projected to reach $22.6 billion by 2033 as companies struggle to scale manual processes across increasingly complex global supply chains.
Traditional procurement software focused on cataloging and approval workflows, but the operational layer—supplier communication, order tracking, exception handling, and status reconciliation—remained largely untouched by automation. This gap becomes critical as manufacturers face supply chain disruptions requiring rapid supplier pivots and real-time visibility across hundreds of vendor relationships.
“Procurement teams are being asked to manage increasingly complex supply chains with tools that were never designed for the pace or scale of today’s trade,” said Tim Spencer, Co-founder and CEO of Didero. The result is procurement professionals spending 60-80% of their time on operational tasks rather than strategic sourcing and supplier relationship management.
Agentic AI Layer for Existing Infrastructure
Didero deploys AI agents that operate inside existing ERP systems and communication channels, building contextual understanding of products, pricing, policies, and historical order data. Rather than requiring wholesale system replacement, the platform functions as an agentic coordination layer that reads incoming communications, processes exceptions, and executes routine workflows autonomously.
The agents handle core procurement operations including supplier communication, purchase order tracking, delivery coordination, and invoice reconciliation. Within weeks of integration, these systems take over repetitive workflows while maintaining human oversight for strategic decisions and complex negotiations.
“Didero functions as an agentic AI layer that sits on top of a company’s existing ERP, acting as a coordinator that reads incoming communications,” according to TechCrunch’s analysis of the platform architecture. This integration-first approach allows rapid deployment without disrupting established procurement workflows or requiring extensive data migration.
The Microsoft M12 investment suggests alignment with existing enterprise infrastructure, where many manufacturers already run supply chain and finance operations on Microsoft platforms. “Agentic AI unlocks a new level of automation and efficiency in procurement that simply wasn’t possible with older technologies,” said Cheryl Cheng, Managing Partner at M12.
Enterprise Adoption Evidence
Footprint, a sustainable packaging manufacturer, provides early validation of the autonomous execution model. “Didero’s AI agents were autonomously executing mission-critical procurement tasks for us within weeks,” said Stephen Sharr, VP of Procurement, Logistics and Contract Manufacturing. “I’ve deployed a lot of software over my career, and I’ve never seen anything like the speed or impact of this.”
The rapid deployment timeline—weeks rather than months typical for enterprise procurement software—suggests the integration-first architecture addresses traditional implementation friction. With 30+ customer deployments across manufacturers and distributors, Didero has demonstrated repeatability in environments where procurement complexity varies significantly by industry and supplier network.
Chemistry’s Kristina Shen emphasized the operational transformation: “Didero applies AI agents directly to that operational layer in a way that materially changes how supply chain teams work and what they can achieve. We believe this will become core infrastructure for companies that need to move faster, operate with more visibility, and adapt to increasingly complex global trade.”
The Microsoft ecosystem integration provides additional enterprise validation, with M12’s backing indicating potential for broader platform adoption across manufacturing customers already running Microsoft-based supply chain operations.
Agent-Native Procurement Infrastructure Emergence
Didero’s success indicates the emergence of agent-native infrastructure designed specifically for autonomous execution rather than human augmentation. Unlike traditional procurement software that digitized existing manual processes, agentic systems can handle the full operational workflow from supplier communication through order completion without human intervention.
This shift reflects broader infrastructure transformation from AI-assisted to AI-autonomous business functions. As procurement agents prove capable of handling complex supplier relationships and exception scenarios, the traditional boundaries between operational and strategic procurement work begin to blur.
The integration-first approach also suggests a new deployment model for enterprise AI infrastructure. Rather than requiring companies to replace existing systems, agentic platforms can layer on top of established ERP and communication infrastructure, reducing implementation barriers while maintaining compatibility with existing data and workflows.
Taylor Brandt from Headline noted the broader implications: “We haven’t seen many AI-native supply chain players with as many deployments or such exceptional customer feedback, which made this feel like a turning point for a once in a multi decade transformation.”
Looking Forward: Autonomous Supply Chain Operations
The next 12-18 months will likely see Didero expand beyond core procurement into adjacent workflows including sourcing automation and payment coordination. As the platform demonstrates autonomous capabilities across the full procurement lifecycle, manufacturers may begin restructuring supply chain operations around agent-native workflows rather than human-centric processes.
The broader AI in supply chain market, projected to grow from $7-13 billion in 2025 to $50-190 billion by 2030-2034, suggests significant capital deployment toward autonomous infrastructure. Early enterprise adoption of procurement agents may accelerate this timeline as companies gain confidence in agentic systems handling mission-critical operations.
Microsoft’s involvement through M12 also indicates potential platform integration, where procurement agents become standard infrastructure within enterprise software stacks rather than standalone tools. This could establish the foundation for more comprehensive autonomous business operations as AI agents prove capable of handling complex enterprise workflows.
Enterprise AI infrastructure increasingly requires orchestration platforms capable of coordinating multiple autonomous agents across business functions. Overclock provides the execution infrastructure for deploying and managing AI agents at scale, complementing specialized platforms like Didero by ensuring reliable coordination between procurement automation and broader enterprise workflows. As companies deploy autonomous agents across supply chain, finance, and operations, centralized orchestration becomes critical for maintaining visibility and control across agent-driven business processes.