Data443 Risk Mitigation Inc. (OTC Pink: ATDS) has launched its Convaa.ai enterprise AI collaboration platform for organizations that want to manage users, model choices, data access and retention through their own IT operations. The company is targeting regulated organizations with customer-managed infrastructure and cross-company workflows involving employees, suppliers, customers or outside advisers.
Convaa.ai is positioned as a shared environment where multiple participants can prompt, review and refine AI work in real time. Data443 said a host organization can govern each participant’s access, choose which commercial or open-source models are available and define what data those models can reach. The company said the platform is designed to run on infrastructure the enterprise already owns, including on-premises or private-cloud capacity.
The enterprise relevance is less about another AI chat interface than the operating model behind it. Organizations that allow staff to use AI across internal and external workflows must decide where data is processed, which models are approved, who can invite outside participants and what records are retained. Those questions become more difficult when teams use a mix of individual subscriptions, separate meeting tools and externally hosted model services.
Data443 said Convaa.ai supports local inference and tailored model training on enterprise data without sending that information to a third party. It also said the platform can run commercial and open-source models side by side. Those are vendor-stated capabilities, and the company did not provide independent security testing, deployment benchmarks or details about supported model providers in its launch materials.
The product is aimed at regulated mid-size and large organizations in financial services, healthcare, legal, defense, government contracting and manufacturing, according to Data443. It identifies CIOs, CISOs and CFOs as likely buyers, with IT operations and AI leaders as day-to-day owners. That emphasis recognizes that enterprise AI deployments frequently span budget, data-protection, security and infrastructure responsibilities rather than sitting within a single business application team.
For security teams, customer-managed deployment may offer a way to apply existing identity, retention and data-access policies to AI work. It does not remove the need to assess model risk, access pathways or third-party components. Enterprises considering a platform of this kind would still need to verify how it authenticates external participants, records activity, isolates workloads, updates models and connects to data sources before placing sensitive information into collaborative sessions.
Data443 said video and audio functions are expected to be released later. It describes those future features as a way to combine AI work, meetings and conversations in a single environment, but the company did not provide a delivery date or technical specifications. The current availability statement covers the platform itself, not those prospective media features.
The launch reflects an enterprise-AI strategy gaining traction among organizations with strict control requirements: bring models to governed infrastructure rather than sending every workflow to one externally hosted service. That approach can give IT teams more authority over deployment and policy, but it also shifts responsibility for capacity, operations, model lifecycle and security oversight back to the organization. Convaa.ai gives Data443 a new product in that category; whether it delivers its stated control benefits will depend on implementation and customer validation.