AI agents are starting to look less like simple tools and more like colleagues, and Reload wants to be the system that keeps those digital “employees” organized and aligned.
Founded by serial entrepreneurs Newton Asare and Kiran Das, Reload has built an AI workforce management platform designed to coordinate multiple agents across teams and departments. The company has now raised $2.275 million in funding and is launching its first AI “employee,” called Epic.
An operating system for AI employees
Asare and Das realised their own AI agents were no longer just assisting with one-off prompts but were taking over work they would previously have done themselves. That led them to a core belief: if AI is going to function as a genuine part of the workforce, organisations will need proper systems to onboard, coordinate and oversee these agents.
Reload’s platform is built around that idea. It allows companies to:
- Connect AI agents, regardless of whether they were developed in-house or by third parties
- Assign roles and permissions to those agents
- Track the work agents perform across functions
Asare describes Reload as a “system of record” for AI employees, giving human teams visibility into how agents operate and interact with different parts of the organisation.
The funding round, totalling $2.275 million, is led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint and Axiom. The company plans to use the capital for hiring and product development, particularly to scale the infrastructure needed to support a growing number of AI agents.
Today, development teams often run several AI assistants in parallel for coding, debugging and refactoring. Those agents typically work from short-term prompts and lack a durable understanding of the product they’re helping to build. As systems evolve, that missing long-term memory can cause agents to lose context or drift away from the original design intent.
Epic, Reload’s first AI product, is designed to tackle that gap. Built on top of the Reload platform, Epic acts as an architectural partner for coding agents. Its role is to continuously define and maintain the product’s requirements and constraints, then remind other agents what they are building and why, so the system stays coherent as it grows.
Epic is meant to fit directly into existing developer workflows. It can be installed as an extension in AI-assisted code editors such as Cursor and Windsurf, running alongside other agents inside those environments.
According to Asare, when a team kicks off a new project, Epic helps generate what he calls the “core system artifacts” that other agents depend on. These include:
- Product requirements
- Data models
- API specifications
- Tech stack decisions
- Diagrams
- Structured breakdowns of tasks
Those artifacts become the reference layer that coding agents build against. As development progresses, Epic maintains a structured memory of decisions, code changes and patterns. If a team swaps out one coding agent for another, Epic is designed so that the underlying structure and memory follow the project, rather than being tied to a single tool.
That shared context also matters when multiple engineers use different agents on the same codebase. With Epic acting as a common source of truth, everyone, human and AI can align on the same system design, even as tools change or expand.
Das, who serves as CTO, positions Epic as distinct from other AI agent platforms because it “defines the system upfront and maintains shared project-level context across agents and sessions,” with a particular focus on building infrastructure to support AI employees. In his view, traditional workforce systems were not designed for agents operating as teammates, and Reload is targeting that missing layer.
The broader AI infrastructure market is already busy. Companies such as LongChain, which focuses on AI agent deployment and memory management, and CrewAI, which helps enterprises manage their AI agents, are also pursuing this space. Reload’s bet is that organisations will increasingly need not just more agents, but a way to manage them as if they were part of the staff.
Asare frames the company’s mission simply: if AI agents are going to function as digital workers, someone has to build the infrastructure to support them. With new funding and Epic now live on top of its management platform, Reload is positioning itself for what it sees as the next era of work.