A pivotal moment arrived when Newton Asare recognized that AI agents had evolved beyond mere tools. This insight solidified as Asare and fellow serial founder Kiran Das observed themselves employing AI agents for tasks they would typically handle personally. Asare came to believe the future involves people overseeing AI employees. "If that's the case, we'll require a genuine system to manage them, complete with structure for onboarding, coordination, and oversight of these digital workers," he noted.

Last year, the pair introduced Reload, a platform for managing an AI workforce. This week, the company unveiled its inaugural AI product, Epic, and announced a $2.275 million funding round. The investment was led by Anthemis, with contributions from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.

Reload functions as a platform enabling organizations to oversee their AI agents across various teams and departments. It allows companies to integrate agents—whether developed by third parties or internally—assign them specific roles and permissions, and monitor their activities. "Reload serves as the system of record for AI employees, offering visibility, coordination, and oversight as agents work across different functions," explained Asare, the company's CEO.

He observed that teams currently utilize multiple agents simultaneously for coding, debugging, and refactoring. A significant issue is that these agents often focus narrowly on their immediate prompts, lacking long-term memory regarding the product's purpose or the reasoning behind specific tasks. Essentially, they operate with only short-term recall. Over time, an agent can lose context, or a system may drift from its original design intent. This challenge prompted the launch of Epic.

Built upon the Reload platform, Epic acts as an architect alongside other coding agents. It continuously defines a product's requirements and constraints, reminding agents of what they are building and why, thereby maintaining consistency as the system develops. "In software development, coding agents can produce vast amounts of code but fail to preserve a shared understanding of the system over time," Asare stated. "Epic complements these agents by establishing the system upfront and maintaining shared context as it evolves. It doesn't replace coding agents; it enhances their effectiveness."

Epic is designed to integrate seamlessly into the coding environments where developers already operate. It can be installed as an extension in AI-assisted code editors like Cursor and Windsurf, running concurrently with other agents within these tools. "When a team initiates a project, Epic assists in creating core system artifacts such as product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns," Asare said. These elements form the foundation against which coding agents build.

"As development advances, Epic maintains a structured memory of decisions, code changes, and patterns," he continued. "If you switch coding agents, your structure and memory persist. If multiple engineers employ different agents on the same project, everyone builds from the same shared source of truth."

Asare and Das previously co-founded a company that was acquired, making Reload their second venture together. The AI infrastructure sector is highly competitive, with rivals including LongChain, which aids in AI agent deployment and memory management, and CrewAI, which helps enterprises manage their AI agents.

Das emphasized that Epic distinguishes itself by "defining the system upfront and maintaining shared project-level context across agents and sessions," with a specific focus on constructing infrastructure to support AI employees. "Traditional workforce systems weren't designed for AI agents operating as teammates," said Das, the company's CTO. "That's the layer we're concentrating on."

The new funding will be allocated to hiring and product development, particularly expanding the infrastructure required to support a growing number of AI agents. "We're building for the next era of work," Asare concluded.