Newton Asare experienced a pivotal moment when he recognized that AI agents had evolved beyond simple tools. He communicated to TechCrunch, “They were operating more like teammates.”
This understanding crystallized as Asare and Kiran Das, both seasoned entrepreneurs, observed themselves delegating tasks typically performed personally to AI agents. Asare became convinced that the future lay in humans managing AI personnel.
“If that indeed becomes the reality, we’ll necessitate a comprehensive system for their management, complete with structured processes for onboarding, coordination, and oversight for these digital workers,” he further explained.
Last year, the duo introduced Reload, an AI workforce management platform. On Thursday, the company unveiled its initial AI product, Epic, concurrent with the announcement of a $2.275 million funding round led by Anthemis, with contributions from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.
Reload offers a platform that enables organizations to efficiently manage their AI agents across various teams and departments. Companies can integrate agents, regardless of their origin (whether developed by a third party or internally), assign specific roles and permissions, and monitor their performance. Asare, Reload’s CEO, stated, “Reload functions as the authoritative system of record for AI employees, providing clear visibility, seamless coordination, and effective oversight as agents operate across different functions.”
He observed that currently, teams frequently employ multiple agents simultaneously for tasks such as coding, debugging, and refactoring. The core issue is that these agents often focus exclusively on their immediate instructions and typically do not retain long-term memory about a product’s overall purpose or the rationale behind specific functions. In essence, they operate predominantly with short-term memory.
Over time, an agent may lose critical context, or the system could diverge from its original design. This is precisely why Reload is launching Epic. Built upon the Reload platform, Epic acts as a guiding architect alongside other coding agents, continuously defining a product’s requirements and constraints, and consistently reminding agents of what they are building and its purpose, thereby ensuring system consistency throughout its development.
“Specifically in software development, coding agents can generate substantial amounts of code, but they often fail to maintain a shared understanding of the system over time,” Asare commented. “Epic complements these agents by defining the system’s blueprint upfront and preserving a consistent shared context as it evolves. It does not replace coding agents; instead, it significantly enhances their effectiveness.”
Epic is designed for seamless integration within developers’ existing coding environments. It can be installed as an extension in AI-assisted code editors like Cursor and Windsurf, operating alongside other agents within these tools.
Asare explained, “When a team initiates a project, Epic facilitates the creation of essential system artifacts, such as product requirements, data models, API specifications, technology stack decisions, diagrams, and structured task breakdowns,” adding that these elements form the fundamental groundwork for coding agents.
He continued, “As development progresses, Epic maintains a structured record of decisions, code changes, and patterns. This ensures that if you switch coding agents, your project’s structure and memory persist. Furthermore, if multiple engineers utilize different agents on the same project, everyone develops against a single, shared source of truth.”
This venture represents the second collaboration between Asare and Das, following the successful acquisition of their previous joint company.
The AI infrastructure landscape is fiercely competitive. Notable competitors include LongChain, which supports AI agent deployment and memory management, and CrewAI, which assists enterprises in managing their AI agents.
Das elaborated that Epic differentiates itself by “defining the system upfront and sustaining shared project-level context across agents and sessions,” with a specific emphasis on developing infrastructure to support AI employees. Das, the company’s CTO, commented, “Traditional workforce systems were not designed for AI agents operating as collaborative teammates. That specific operational layer is where our focus lies.”
The newly secured capital will be allocated towards expanding the team and advancing product development, particularly in strengthening the infrastructure necessary to accommodate a growing number of AI agents. Asare proclaimed, “We are constructing the foundation for the next evolution of work.”
This article has been updated to include the additional investors in the funding round.