South African technology startup, Dataseka has launched an artificial intelligence-powered platform designed to help businesses understand their data, uncover insights and make faster, more informed decisions without relying heavily on technical specialists.
Founded in 2026 by Sechaba Mofokeng, the company is bringing data, analysis and decision-making together through three core capabilities, including Seeka, an AI co-worker designed to help users interact with business data.
Dataseka founder, Sechaba Mofokeng said many businesses already possess valuable information but struggle to use it effectively because it is distributed across different systems.
“Most businesses already have valuable data, but it is scattered across spreadsheets, financial systems, CRMs and databases,” Mofokeng said.
The startup’s approach is therefore focused not merely on producing charts, but on helping organisations understand what is happening, why it is happening and what they should do next.
What problem is Dataseka trying to solve?
Dataseka is targeting a common challenge faced by modern businesses, valuable information is often scattered across multiple platforms, making it difficult for decision-makers to obtain a complete picture of the organisation.
Sales information may be stored in spreadsheets, customer details in customer relationship management systems, financial records in accounting platforms and operational information in databases.
Bringing these different sources together can require considerable time and technical expertise.
According to Mofokeng, “Teams spend too much time assembling reports, while the people making decisions still depend on specialists to explain what is happening.”
This means that business leaders may have access to large quantities of data but still struggle to turn that information into useful knowledge.
Dataseka is designed to address this gap by simplifying the journey from raw business information to analysis, insight and informed decision-making.
What is Dataseka?
Dataseka is a business data and artificial intelligence platform designed to bring data, analysis and decision-making into one governed environment.
Rather than requiring employees to search through different systems or manually prepare reports before they can understand business performance, the platform aims to make those processes more connected and accessible.
One of its central capabilities is Seeka, described by the company as an AI co-worker for data. The idea is similar to interacting with an AI assistant through ordinary language, except that Seeka is designed around a business’s own authorised data.
As Mofokeng explained, “AI has changed what people expect. They can now ask tools such as ChatGPT questions in everyday language, but the typical workflow involves copying business data into a separate chat.”
Dataseka wants to remove that extra step and bring AI-powered data analysis closer to the organisation’s existing information.
How Seeka could change business decision-making
At the heart of Dataseka’s proposition is the belief that business leaders should be able to interact directly with their data.
Instead of depending entirely on data specialists to generate reports and explain business performance, users could ask questions in everyday language and receive analysis based on relevant business information.
For example, a manager could seek to understand why revenue declined, which customers are driving growth or where operating costs are increasing.
The objective is not simply to generate more dashboards or attractive charts, but to help users move quickly from identifying a development to understanding its cause and deciding what action to take.
Dataseka said its goal “is not simply to generate more charts” but to help businesses “see what is happening sooner, understand why and make better decisions with confidence.”
This positions the platform as a decision-support tool rather than merely another reporting system.
Dataseka’s initial market and expansion plans
Dataseka currently operates in South Africa, with its initial focus on wealth management, engineering and research companies.
The startup selected these sectors because they share a common reliance on substantial amounts of information, analysis and communication.
“What these businesses have in common is a similar day-to-day workflow, teams gather and store large amounts of data, analyse it, and share their findings so others can make informed decisions,” Mofokeng said.
The company believes that improving the speed and quality of this process could have a direct effect on business performance.
Its expansion strategy will therefore focus less on entering countries for geographical reasons and more on identifying industries with similar data-intensive workflows.
Dataseka plans to explore sectors including insurance, professional services, manufacturing and logistics as it develops its platform and expands its customer base.
Early adoption and Dataseka’s growth ambitions
Although Dataseka is still a young company, its founder said early customer adoption has provided encouraging signals about the platform’s potential.
Mofokeng acknowledged that “the numbers are still early,” reflecting the startup’s position at an early stage of development, but said the speed of adoption has been encouraging.
More importantly, early customers are providing the company with practical insight into how growing businesses manage scattered data, reporting and decision-making.
That feedback is expected to play an important role in refining Dataseka’s technology and developing a repeatable business model.
“More importantly, each customer gives us direct insight into how growing businesses manage scattered data, reporting and decision-making,” Mofokeng said.
As Dataseka continues to develop, its broader ambition is to make sophisticated data analysis more accessible to the people responsible for running businesses, helping them transform fragmented information into actionable insight and more confident decisions.
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