Zoox, a Brazilian data intelligence company, will launch its Ontology platform on November 17 during the Zoox Data Revolution event in São Paulo. The solution uses artificial intelligence to preserve the context behind corporate decisions, including negotiations, meetings, and strategic choices. Founder and CEO Rafael de Albuquerque said the platform aims to keep institutional knowledge accessible even after employees leave.
Preserving Context Beyond Documents
According to the company, traditional records capture outcomes but rarely explain the reasoning that produced them. A contract may show a 24-month term without revealing why that period was chosen over a longer alternative. When employees depart, the history of those conversations and abandoned alternatives often disappears entirely with them.
Ontology addresses this by aggregating meeting recordings, emails, call logs, and data from customer relationship systems. The platform organizes these records so users can ask questions about professional activities and recover the context of past decisions. Albuquerque argues that this ability to retain and query institutional memory distinguishes one business from another.
How Ontology Works
In a demonstration, Albuquerque showed an interface that associates records with individual employees and allows natural language queries about their work. Users can access technical knowledge, innovation, and business vision left by a former team member. The system also supports combining two professionals' experiences to address a specific business need.
The platform can also start from a business problem and search available history to identify employees with relevant experience. Recorded meetings are processed by artificial intelligence into summaries, and participants are notified about the recording. Filters separate business-relevant information from informal conversations, for example comments about football, without necessarily deleting them.
The system also interprets behavioral signals such as speech rhythm and participation levels during meetings. These are inferences made by the software over recorded interactions. Zoox is developing a feature for professionals to consult their own histories before sales calls or other activities, though availability at launch has not been confirmed.
Ambitions and Market Reference
Zoox considers Palantir a major benchmark, and the name Ontology mirrors a Palantir product. The American company's approach connects data to objects, relationships, and actions within an organization. Zoox focuses on using technology to solve concrete operational problems, such as increasing sales, reducing customer churn, or identifying new commercial opportunities, rather than selling technology alone.
Albuquerque recalled that Zoox began by providing Wi-Fi to hotels and later expanded into data collection, analysis, and cross-referencing. In 2020, the company raised R$27 million in a round led by HDI Seguros. It now projects revenue of R$1 billion by 2031, with about 95% of expected growth coming from data verticals related to risk and data organization.
Trust and Cultural Shift
Albuquerque compared Zoox to a bank that safeguards data instead of money, emphasizing the trust required to handle corporate information. He said the greatest obstacle is not technical but cultural, as executives must move beyond seeing AI as a simple chatbot. Without organized data foundations, he added, no artificial intelligence layer can reliably preserve institutional memory.
The Ontology launch marks Zoox's next step from Wi-Fi provider to data intelligence partner for large companies. Its success will depend on convincing leaders to adopt new habits around recording, organizing, and consulting institutional knowledge. By turning lost conversations into searchable assets, the company hopes to differentiate itself in Brazil's expanding AI market.
Source: Exame.com