Arivonix AI

Arivonix AI connects to more than 250 data sources and turns them into AI-ready datasets through visual, no-code pipelines. Building a workflow means dragging and dropping tools, writing SQL or PySpark, or using AI-generated logic, all while the data stays put in its original location. Scheduled runs, version control, and secure releases keep pipelines active and datasets current.

The platform gives teams a visual workspace to build AI agents from a library of reasoners, retrievers, tools, and language models. Multiple agents can work together through task routing, agent-to-agent messaging, shared memory, and approval gates that keep a person in the loop. Before anything reaches production, built-in testing tools check how each agent actually behaves.

Governance sits inside every model and agent from the start, not layered on after the fact. The software tracks data lineage, applies trust scores, and watches outputs in real time, backed by role-based access, encryption, and human review workflows that support audits and compliance needs. Drift detection and automatic rollback help keep agents reliable once they're running live.

The software lets organizations package data into ready-to-use products and publish them through a governed marketplace for internal teams and outside partners. A cleanroom environment supports joint analysis without ever exposing raw datasets, and every action gets logged for usage tracking. Access to each published product is controlled through role-based permissions, attribute-based rules, and column-level masking.

Arivonix AI delivers data and insights through AI search, conversational interfaces, analytics dashboards, notebooks, APIs, and knowledge graphs from a single workspace. Business teams can query data in plain language, build dashboards on their own, and explore knowledge graphs without jumping between separate tools. Secure APIs, SDKs, and webhooks carry that same delivery into outside systems and applications.