There came a point when Newton Asare realized AI agents weren’t just tools anymore. He described them as operating more like teammates. This realization crystallized when Asare and his co-founder, Kiran Das, both serial founders, noticed they were using AI agents to perform tasks they usually would have done themselves. Asare came to believe that the future lay in people managing AI employees. He added that if that’s true, we will need a real system to manage them, with structure around onboarding, coordination, and oversight for digital workers.
Last year, the duo launched Reload, an AI workforce management platform. The company recently announced its first AI product, called Epic, alongside a funding round of $2.275 million. This round was led by Anthemis, with participation from Zeal Capital Partners and Plug and Play.
Reload is a platform that lets organizations manage their AI agents across teams and departments. Companies can connect agents, regardless of whether they were built by a third party or internally, assign them roles and permissions, and track the work they perform. Asare, the company’s CEO, explained that Reload acts like the system of record for AI employees, providing visibility, coordination, and oversight as agents operate across functions.
He observed that teams are now using multiple agents simultaneously for tasks like coding, debugging, and refactoring. The problem is that these agents are often focused solely on their immediate prompts and do not retain a long-term memory of the product or the purpose behind their tasks. They operate with only short-term memory. Over time, an agent can lose context, or the system can drift from its original intent. This is the reason Reload is launching Epic.
Built on top of the Reload platform, Epic serves as an architect alongside other coding agents. It continuously defines a product’s requirements and constraints, reminding agents what they are building and why to keep a system consistent as it develops. In software development specifically, coding agents can generate large amounts of code, but they do not preserve a shared system understanding over time. Epic complements those agents by defining the system upfront and maintaining shared context as it evolves. It does not replace coding agents; it makes them more effective.
Epic is designed to live inside the coding environments where developers already work. It can be installed as an extension in AI-assisted code editors like Cursor and Windsurf, running alongside other agents inside these tools. 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. These are the foundations that coding agents build against.
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.
Asare and Das previously had a company together that was acquired, making Reload their second venture as a team. The AI infrastructure space is crowded, with competitors including platforms that help with AI agent deployment and memory management, and others that help enterprises manage their AI agents. Das, the company’s CTO, said Reload is different because it defines the system upfront and maintains shared project-level context across agents and sessions. It focuses specifically on building infrastructure to maintain AI employees. Traditional workforce systems were not designed for AI agents operating as teammates, and that is the layer Reload is focused on.
The fresh capital will go toward hiring and product advancement, specifically expanding the infrastructure needed to support a growing number of AI agents. Asare stated that they are building for the next era of work.