South African AI startup Verascient has raised $1.2 million in an oversubscribed pre-seed funding round.
The Cape Town-based company was founded by Keagan Stokoe and Emile Dos Santos Ferreira. It is developing infrastructure intended to connect AI agents with companies’ existing systems, workflows and internal knowledge, rather than offering a general-purpose assistant.
Verascient’s core product is a temporal knowledge graph. The system is designed to link information across an organisation while retaining details about its history, source and access permissions. According to the company’s stated approach, this could help AI agents determine how information has changed, where it originated and whether they are authorised to use it.
The technology addresses a challenge that has become more prominent as companies move from chatbot trials to AI systems capable of taking actions. Deploying such systems within business processes requires more than access to a language model; it also involves integrating organisational data, permissions and workflows.
Verascient is initially focusing on financial services, insurance and logistics. These industries often rely on information distributed across multiple systems and teams. The company says it works with customers to map their workflows, identify potential applications and develop agents and processes tailored to those requirements.
Founder Collective led the funding round. Andrena Ventures, Cambridge Enterprise and Summit Ventures also participated, along with angel investors including Alan Knott-Craig and Shayne Mann. The round was described as oversubscribed, indicating that investor interest exceeded the amount the company initially intended to raise.
Verascient said it will use the funding to expand its engineering team and continue developing its technology as it seeks additional enterprise deployments. The company is also recruiting AI engineers and other technical staff in South Africa while targeting customers in international markets.
The funding comes as enterprise software companies increasingly focus on the infrastructure required to operate AI agents in production. While the capabilities of underlying models remain important, reliable deployment also depends on access to relevant data, controls over permissions and systems for monitoring how agents use information.
Verascient’s development illustrates the emergence of AI infrastructure startups in Africa with ambitions beyond their domestic markets. Whether its approach gains wider adoption will depend on factors including the reliability of its technology, the complexity of customer integrations and the measurable business value delivered by its deployments.
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