{"id":5451,"date":"2026-11-01T07:16:33","date_gmt":"2026-11-01T07:16:33","guid":{"rendered":"https:\/\/globalnigerianews.com\/index.php\/2026\/11\/01\/nigerian-co-founded-ai-startup-minicor-raises-3-8-million-to-bridge-ai-and-legacy-business-software\/"},"modified":"2026-11-01T07:16:33","modified_gmt":"2026-11-01T07:16:33","slug":"nigerian-co-founded-ai-startup-minicor-raises-3-8-million-to-bridge-ai-and-legacy-business-software","status":"publish","type":"post","link":"https:\/\/globalnigerianews.com\/index.php\/2026\/11\/01\/nigerian-co-founded-ai-startup-minicor-raises-3-8-million-to-bridge-ai-and-legacy-business-software\/","title":{"rendered":"Nigerian co-founded AI startup Minicor raises $3.8 million to bridge AI and legacy business software"},"content":{"rendered":"<p>Minicor, a San Francisco-based artificial intelligence startup co-founded by Nigerian software engineer Saheed Akinbile, has raised $3.8 million in seed funding to help businesses integrate AI-powered applications with legacy software systems.<\/p>\n<p>The company disclosed the funding in a statement seen by Nairametrics.<\/p>\n<p>It noted that the investment would support its efforts to address one of the major obstacles to enterprise AI adoption: connecting modern artificial intelligence tools with older business applications that lack modern integration capabilities.<\/p>\n<h4><strong>Participating investors<\/strong><\/h4>\n<p>The seed round was led by Brad Gillespie of IA Ventures, with participation from Y Combinator, Paul Graham, Pioneer Fund, Robinhood Ventures, Garage Capital, Rebel Fund, K5 Global, 20VC and several other individual investors.<\/p>\n<ul>\n<li><em>\u201cWe raised a $3.8M seed round led by Brad Gillespie at IA Ventures, with participation from YC and Paul Graham.\u201d<\/em><\/li>\n<\/ul>\n<p>Founded by Faizaan Chishtie and Akinbile, Minicor is developing automation infrastructure that allows AI-powered applications to interact with traditional desktop software without requiring the underlying systems to have modern application programming interfaces (APIs).<\/p>\n<ul>\n<li>Many businesses, particularly in sectors such as healthcare, financial services, automotive services and logistics, continue to rely on older software applications to manage critical operations.<\/li>\n<\/ul>\n<p>However, integrating these systems with newer AI technologies can be difficult and expensive, often requiring businesses to replace existing infrastructure or build customised integrations.<\/p>\n<ul>\n<li>Minicor aims to eliminate that barrier by enabling AI applications to interact directly with existing desktop software.<\/li>\n<\/ul>\n<p>Its platform allows developers to convert desktop workflows into API endpoints that other applications can access and execute.<\/p>\n<p>Rather than developing separate integrations for every legacy application, users can describe the tasks they want to automate, while Minicor\u2019s infrastructure handles interactions with the software through its existing interface.<\/p>\n<h4><strong>How Minicor\u2019s technology works<\/strong><\/h4>\n<p>The platform combines AI agents with predefined automation processes to execute and manage desktop workflows.<\/p>\n<ul>\n<li>AI agents are used to create and repair workflows, while routine operations are carried out through predetermined automation steps.<\/li>\n<li>This approach is designed to address some of the limitations associated with allowing AI agents to independently interpret computer screens and decide what actions to take during every interaction.<\/li>\n<li>Such an approach can introduce execution delays, inconsistent behaviour and higher computing costs, particularly when businesses need automation systems to perform repetitive tasks reliably.<\/li>\n<\/ul>\n<p>By combining AI-driven workflow creation with structured execution, Minicor aims to make interactions between AI applications and legacy business software more predictable and efficient.<\/p>\n<h4><strong>Targeting enterprise AI adoption<\/strong><\/h4>\n<p>Minicor is targeting AI startups and enterprise software providers that need to connect their products with existing business applications.<\/p>\n<p>Its potential customer base spans industries where legacy software remains deeply embedded in everyday operations, including healthcare, financial services, automotive services and logistics.<\/p>\n<p>The company\u2019s broader proposition is that businesses should not have to replace years of accumulated software infrastructure before benefiting from artificial intelligence.<\/p>\n<p>By providing an integration layer between modern AI applications and traditional desktop systems, Minicor hopes to make enterprise AI adoption easier and less expensive.<\/p>\n<h4><strong>Nigerian atartup funding falls 96.9% in September<\/strong><\/h4>\n<p>Minicor\u2019s $3.8 million funding round comes amid a slowdown in fundraising activity among Nigerian startups.<\/p>\n<p><a href=\"https:\/\/nairametrics.com\/2026\/10\/28\/startup-funding-plunges-96-9-in-september-these-9-ceos-still-attracted-11-3-million\/\">Nine startups raised a combined $11.3 million in September 2026<\/a>, representing a 96.9% decline from the $364.1 million secured by 20 companies in August.<\/p>\n<p>The difference translates to a month-on-month funding reduction of approximately $352.8 million.<\/p>\n<p>Despite the decline, investors continued to support startups operating across several sectors, including fintech, mobility, semiconductor technology, cybersecurity, waste management, agriculture, food and other services.<\/p>\n<p>Minicor\u2019s latest funding highlights continued investor interest in artificial intelligence and enterprise technology, particularly solutions addressing infrastructure challenges that affect business adoption of emerging technologies.<\/p>\n<p>Source: <\/p>\n<div class=\"nSourse\">Nairametrics<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Minicor, a San Francisco-based artificial intelligence startup co-founded by Nigerian software engineer Saheed Akinbile, has raised $3.8 million in seed funding to help businesses integrate AI-powered applications with legacy software&hellip; 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