There came a point when Newton Asare realized AI agents weren\u2019t just tools anymore. \u201cThey were operating more like teammates,\u201d he told TechCrunch.\u00a0<\/p>\n
The realization crystallized when Asare and Kiran Das, both serial founders, noticed they were using AI agents to perform tasks they usually would have done themselves. Asare said he came to believe that the future lay in people managing AI employees.<\/p>\n
\u00a0\u201cAnd if that\u2019s true, we\u2019ll need a real system to manage them, with structure around onboarding, coordination, and oversight for digital workers,\u201d he added.\u00a0<\/p>\n
Last year, the duo launched Reload<\/a>, an AI workforce management platform. On Thursday, the company announced its first AI product, Epic<\/a>, alongside a $2.275 million round led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.<\/p>\n Reload is a platform that lets organizations manage their AI agents across teams and departments. Companies can connect agents, regardless of who built them (whether by a third party or internally), assign them roles and permissions, and track the work they perform. \u201cReload acts like the system of record for AI employees, providing visibility, coordination, and oversight as agents operate across functions,\u201d said Asare, the company\u2019s CEO.<\/p>\n Right now, he observed, teams are using multiple agents simultaneously for tasks such as coding, debugging, and refactoring. The problem is that these agents are often focused solely on whatever they were prompted to do and don\u2019t necessarily retain long-term memory of what a product is or why they were told to perform a specific function. They operate, in other words, with only short-term memory.<\/p>\n Over time, an agent can lose context, or the system can evolve away from its original intent. That\u2019s why Reload is launching Epic. Built on top of the Reload platform, it serves as an architect alongside other coding agents, continuously defining a product\u2019s requirements and constraints, and reminding agents what they are building and why, to keep a system consistent as it develops.\u00a0<\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tBoston, MA \u201cIn software development specifically, coding agents can generate large amounts of code, but they don\u2019t preserve shared system understanding over time,\u201d Asare said. \u201cEpic complements those agents by defining the system upfront and maintaining shared context as it evolves. It doesn\u2019t replace coding agents; it makes them more effective.\u201d\u00a0<\/p>\n 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.<\/p>\n \u201cWhen 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,\u201d Asare said, adding that these are the foundations that coding agents build against.\u00a0<\/p>\n \u201cAs development progresses, Epic maintains a structured memory of decisions, code changes, and patterns,\u201d he continued. \u201cIf 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.\u201d\u00a0<\/p>\n Asare and Das previously had a company together that was acquired and this is their second company together.<\/p>\n The AI infrastructure space is crowded. Competitors include LongChain, which helps with AI agent deployment and memory management, and CrewAI, which helps enterprises manage their AI agents.\u00a0<\/p>\n Das said Epic is different because it \u201cdefines the system upfront and maintains shared project-level context across agents and sessions,\u201d with a focus specifically on building infrastructure to maintain AI employees. \u201cTraditional workforce systems weren\u2019t designed for AI agents operating as teammates,\u201d said Das, who serves as the company\u2019s CTO. \u201cThat\u2019s the layer we\u2019re focused on.\u201d<\/p>\n The fresh capital will go toward hiring and product advancement, specifically expanding the infrastructure needed to support a growing number of AI agents. \u201cWe\u2019re building for the next era of work,\u201d Asare said.\u00a0<\/p>\n This piece was updated to add the other investors in the round. <\/p>\n","protected":false},"excerpt":{"rendered":"There came a point when Newton Asare realized AI agents weren\u2019t just tools anymore. \u201cThey were operating more…\n","protected":false},"author":2,"featured_media":486867,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,9187,196064,276,277,49,48,32424,61],"class_list":["post-486866","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-ai-agent","tag-anthemis","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-reload","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/486866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=486866"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/486866\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/486867"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=486866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=486866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=486866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tJune 9, 2026\n\t\t\t\t\t\t\t<\/p>\n