The promise of agentic AI in the enterprise is everywhere. More than 1.3 billion AI agents are expected to be deployed by 2028, and they will fundamentally change how work gets done. But as adoption accelerates, so do the challenges: fragmented purchasing, micro payments, unclear ownership, inconsistent outcomes, and a growing risk surface. Leaders aren’t just asking which agents to deploy, they’re asking how to manage them once they’re in the building.
When we met the Reload team, we were excited by how pragmatic they were about shaping the future of agentic AI. They share our belief in a world where AI and human employees work side-by-side to improve performance, and they’re building the operating system that makes that collaboration manageable at scale.
Reload co-founders Newton Asare & Kiran Das
Reload helps teams discover, manage, and pay AI agents through a single platform.
Reload’s directory simplifies the “hiring” process by allowing teams to browse and onboard pre-vetted third party AI agents, in-house agents, or native, Reload agents. Reload’s first native agent is EPIC, an AI solutions architect that helps engineers design system architecture before code is written. It works alongside the coding agents that many technology teams have already deployed by creating and maintaining product requirements, user stories, APIs, data models, and infrastructure decisions throughout development. This architecture serves as the foundation that coding agents build against. EPIC is already available in the Reload directory along with thousands of third-party agents.
Hiring is just the first step. Once onboarded, Reload serves as the data and orchestration layer for the agentic workforce by helping businesses assign AI employees to specific tasks, manage access across teams, track usage, and control spend.
Finally, the platform manages payroll for AI employees. It offers a centralized, programmable wallet that supports billing across tokens, tasks, and outcomes. With usage-based payments and integration to internal financial tools, Reload provides real-time spend visibility and team-based budget controls to optimize an organization’s investment in AI agents.
Long term, Reload is building the infrastructure that supports the entire lifecycle of agent-based work. That kind of ambition takes the right team. Co-founders Newton Asare and Kiran Das bring deep fintech and engineering experience—and, importantly, firsthand familiarity with what breaks when you try to operationalize complex systems. Newton led Fintech Partnerships & Innovation at Scotiabank, and he was the co-founder and CEO of ClientDesk, a customer engagement platform acquired by Trufla Technology. Kiran was an engineer at TELUS Digital and at Public Mobile, and he also served as Head of Engineering at ClientDesk.
In the not-so-distant future, org charts will include human employees and AI employees coordinating tasks in almost every functional area. While the longer term potential of agentic AI is widely accepted, the “how” is still up in the air. At Anthemis, we are actively investing in the solutions that bring this future to life in the most responsible and effective ways. The infrastructure supporting the use of AI agents is just as–if not more–important than the agents themselves. We are thrilled to back the Reload team as they build a critical piece of that infrastructure. Anthemis is leading Reload’s Pre-Seed round with participation from Zeal Capital, Cohen Circle, Axiom, Plug and Play, and Blueprint. We are excited to welcome Reload to the portfolio and support them and they transform workforce management!
