A pivotal moment arrived for Newton Asare when he recognized that AI agents had transcended their role as mere tools. "They were operating more like teammates," he shared with TechCrunch.
This realization solidified as Asare and Kiran Das, both seasoned founders, observed themselves increasingly relying on AI agents to execute tasks they would typically perform personally. Asare concluded that the future of work would involve humans managing AI employees.
He further elaborated, "And if that’s true, we’ll need a real system to manage them, with structure around onboarding, coordination, and oversight for digital workers."
Last year, the entrepreneurial duo launched Reload, an AI workforce management platform. This past Thursday, the company unveiled its first AI product, Epic, concurrently announcing a successful $2.275 million funding round. Anthemis spearheaded the investment, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.
Reload is a comprehensive platform that enables organizations to manage their AI agents across diverse teams and departments. Companies can integrate agents, regardless of their origin (whether third-party or internally developed), assign specific roles and permissions, and meticulously track their performance. Asare, Reload’s CEO, stated, "Reload acts like the system of record for AI employees, providing visibility, coordination, and oversight as agents operate across functions."
Currently, he noted, teams frequently employ multiple agents simultaneously for tasks such as coding, debugging, and refactoring. The challenge arises because these agents often focus exclusively on their immediate prompts, failing to retain a long-term understanding of the product or the underlying rationale for a specific function. In essence, their operations are limited by short-term memory.
Over time, an agent can lose context, or the system's development may diverge from its original intent. This critical issue is precisely what Reload aims to solve with Epic. Built upon the Reload platform, Epic functions as an architectural guide alongside other coding agents, continuously defining a product’s requirements and constraints, and reminding agents what they are building and why, thereby ensuring systemic consistency throughout the development process.
"In software development specifically, coding agents can generate large amounts of code, but they don’t preserve shared system understanding over time," Asare explained. He clarified, "Epic complements those agents by defining the system upfront and maintaining shared context as it evolves. It doesn’t replace coding agents; it makes them more effective."
Epic is engineered for seamless integration into the coding environments where developers already operate. It can be installed as an extension within AI-assisted code editors like Cursor and Windsurf, running concurrently with other agents inside these tools.
Asare detailed, "When a team starts a project, Epic helps create the core system artifacts such as product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns," emphasizing that these components form the essential groundwork against which coding agents build.
He further elaborated, "As development progresses, Epic maintains a structured memory of decisions, code changes, and patterns. If you switch coding agents, your structure and memory follow. If multiple engineers use different agents on the same project, everyone builds against the same shared source of truth."
This venture marks the second collaboration for Asare and Das, whose previous joint company was successfully acquired.
The AI infrastructure space is notably crowded, featuring competitors such as LongChain, which aids in AI agent deployment and memory management, and CrewAI, which assists enterprises in managing their AI agents.
Das highlighted Epic's distinctiveness, stating it "defines the system upfront and maintains shared project-level context across agents and sessions," with a dedicated emphasis on developing infrastructure to support AI employees. As the company's CTO, Das remarked, "Traditional workforce systems weren’t designed for AI agents operating as teammates. That’s the layer we’re focused on."
The newly secured capital is earmarked for strategic hiring and product advancement, specifically to scale the infrastructure required to support an expanding ecosystem of AI agents. Asare declared, "We’re building for the next era of work."
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