Cape Town AI Startup Tennsa Secures Pre-Seed Funding to Integrate Agentic AI into African Businesses

Tennsa, an AI software startup based in Cape Town, South Africa, has successfully raised pre-seed funding from Oakvale Invest. This investment marks Oakvale's inaugural venture, positioning itself as Africa's first AI-focused pre-seed fund. The capital infusion is intended to help Tennsa scale its platform, which aims to transition businesses from fragmented legacy workflows to a unified agentic intelligence system.

Founded by Rivar Maharaj, Tennsa specializes in developing secure, customized AI software that integrates seamlessly with existing enterprise operations. Rather than requiring businesses to overhaul their current systems, Tennsa's platform connects disparate data sources like accounting, inventory, CRM, email, and banking. This creates a single operational view, addressing the common problem of data incoherence across various business functions.

The Tennsa OS acts as a continuous intelligence layer, providing daily briefings on changes, risks, and required actions. Users can then engage in data-grounded conversations to investigate specific issues, with the AI designed to prevent data fabrication by referencing actual business records. A key differentiator is Tennsa's approach to integrating with systems at the source, bypassing the need for central data warehouses and significantly shortening deployment times.

Initially targeting the South African market, Tennsa has developed integrations for popular local and international business platforms such as IQ Retail, Sage, Xero, PayFast, and Yoco. The company also emphasizes its compliance with South African regulatory requirements, including the Protection of Personal Information Act and data sovereignty considerations. Beyond its OS, Tennsa offers AI strategy, custom development, and training services, further supported by Google for Startups.

This funding arrives as enterprises globally are moving beyond basic generative AI experimentation to embed AI into their core processes. For Africa, this represents a significant step in fostering local AI innovation and providing tailored solutions that address the specific operational and regulatory landscapes of the continent, enabling businesses to leverage AI for greater efficiency and informed decision-making.