Scale calmly with a stable indexing backbone.
ZILIONT Case Study: T365
As data grows, search remains consistent and workflows stay reliable—without constant pipeline rebuilds.
Organizations across multiple industries used Ziliont ActivAI to perform standard processing and to accelerate AI adoption, simplify data operations, and scale infrastructure beyond conventional limits.
From real-time telemetry, surveillance, global telecom cross-billing and enterprise analytics to AI training and long-term archive environments, Ziliont ActivAI provided the performance, scalability, and reliability required for modern data-intensive workloads.
Scale calmly with a stable indexing backbone.
As data grows, search remains consistent and workflows stay reliable—without constant pipeline rebuilds.
Better handoffs between executives, data teams, and AI.
A single indexing layer supports different audiences, from governance to operations, without new silos.
AI channels that turn raw data into usable flow.
Data moves through adapters for enrichment, validation, and reprocessing—so AI outputs improve over time.
Governed access with retention and policy visibility.
Keep deletion, access control, and protection policies embedded in the workflow—not stuck in a spreadsheet.
Fewer duplicates. Less friction. More useful work.
Reduce redundant movement and rework by indexing once and reusing outputs across teams and workflows.
Unified indexing across hybrid systems — faster discovery.
ActivAI connects scattered sources into one searchable layer, reducing time-to-answer and improving reuse of prior outputs.
Bring AI to the data—across cloud and on-prem.
Connect local models, cloud services, and specialized tools through adapters that fit your environment.
Search that finds the needle, not more hay.
Teams locate critical documents, records, and media quickly—without rebuilding pipelines or duplicating storage.