What happened
Minicor, a startup founded by Saheed Akinbile, has raised $3.8 million in seed funding to develop technology that allows AI systems to interact with legacy desktop software that lacks application programming interfaces (APIs). The round was led by IA Ventures, with Brad Gillespie leading the investment, and included participation from Y Combinator, Paul Graham, Pioneer Fund, Robinhood Ventures, Garage Capital, Rebel Fund, Blast, SuccessVP, K5 Global, 20VC, Phosphor Capital, and Metsu Capital. The company’s technology converts legacy desktop applications into endpoints that AI agents can call, similar to conventional APIs. This approach aims to help businesses automate workflows in software systems not originally designed for integration with modern AI tools, offering an alternative to robotic process automation (RPA) or slower computer-use agents. According to Minicor, approximately 70% of Fortune 500 companies still use desktop applications without APIs, creating a challenge for organizations seeking to introduce AI into established business processes. The funding will support the development of this platform, though specific allocation details were not disclosed.
Minicor, a startup founded by Saheed Akinbile, has raised $3.8 million in seed funding to develop technology that enables AI systems to interact with legacy desktop software that lacks application programming interfaces (APIs). The funding round was led by IA Ventures, with Brad Gillespie leading the investment, and included participation from Y Combinator, Paul Graham, and other investors.
The company is developing technology that converts legacy desktop applications into endpoints that AI agents can call in a similar way to conventional APIs. This approach aims to help businesses automate workflows in software systems that were not originally designed for integration with modern AI tools. According to Minicor, about 70% of Fortune 500 companies still use desktop applications without APIs, creating a challenge for organizations seeking to introduce AI into established business processes.
Businesses currently have two main options for automating tasks in these systems: building and maintaining robotic process automation (RPA) workflows, which require engineering resources, or deploying computer-use agents that interact with software interfaces but may perform data-entry tasks more slowly than human workers. Minicor aims to address this gap by enabling AI agents to learn how legacy software works, build the necessary automations, and maintain them over time.
The funding will support Minicor’s effort to develop its platform for businesses seeking to extend AI automation into legacy desktop environments. The company did not disclose further details on how the capital would be allocated. The announcement also highlights the role of founder communities in connecting entrepreneurs with investors, noting that Akinbile is a member of WO Community, founded by Onyeka to support and connect startup founders.
Source details: techeconomy.ng ↗
Why it matters
This funding addresses a critical gap in enterprise AI adoption: the inability of modern AI agents to interact with legacy software that lacks standard integration interfaces. By converting legacy desktop applications into callable endpoints, Minicor’s technology could enable organizations to automate complex workflows without replacing existing systems or building extensive custom integrations. This is significant because many enterprises rely on legacy software for core operations, and the lack of APIs has historically forced them to choose between resource-intensive RPA solutions or less efficient computer-use agents. Minicor’s approach may lower the barrier to AI integration, potentially improving productivity and reducing the engineering resources required to maintain automation in established business environments.
Minicor’s technology targets a persistent challenge in enterprise AI adoption: many organizations have invested in software that remains central to their operations but lacks the interfaces required for straightforward integration with newer systems. By making these applications accessible to AI agents, Minicor hopes to help businesses automate more tasks and improve productivity across established workflows.
The company’s approach could make it easier for organizations to connect AI systems to existing software without having to replace legacy applications or build extensive custom integrations. This is significant because legacy software often contains critical business logic and data, and replacing it can be costly and disruptive. Minicor’s solution may offer a more efficient path to AI integration, potentially reducing the time and resources required to automate complex workflows.
The funding positions Minicor in the growing enterprise AI market, where companies are looking beyond chatbots to systems capable of carrying out tasks within existing business applications. This shift reflects a broader trend in the AI industry, where the focus is moving from conversational interfaces to agentic systems that can perform real‑world tasks. Minicor’s technology could play a key role in enabling this transition, particularly for organizations with extensive legacy software portfolios.
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What to watch next
Watch for Minicor’s product launch and early customer deployments to assess the practical effectiveness of its legacy software integration technology. Monitor whether the company can scale its solution across diverse legacy applications and whether it gains traction among Fortune 500 companies. Additionally, observe how competitors in the enterprise AI space respond to this approach, as it may influence the broader market’s strategy for integrating AI with legacy systems.
Watch for Minicor’s product launch and early customer deployments to assess the practical effectiveness of its legacy software integration technology. The company’s ability to demonstrate tangible results in real‑world business environments will be crucial to its success and credibility in the market.
Monitor whether Minicor can scale its solution across diverse legacy applications and whether it gains traction among Fortune 500 companies. The company’s claim that 70% of Fortune 500 companies use desktop applications without APIs suggests a large potential market, but converting this potential into actual customers will require a robust and reliable product.
Observe how competitors in the enterprise AI space respond to Minicor’s approach. The company’s technology may influence the broader market’s strategy for integrating AI with legacy systems, potentially leading to new standards or best practices in this area. Additionally, watch for any partnerships or collaborations that Minicor may announce with major software vendors or enterprise service providers.