Multivendor AI Platform
AI for Optimization, Consistency & Geolocation
Xmart AI unifies closed-loop optimization, multi-vendor consistency checks and driveless geolocation into a single workflow — turning raw data into reliable actions that reflect real network performance.
AI-native modules engineered for multivendor environments, focused on accuracy, repeatability, and safe change management.
Closed-loop optimization that fuses geolocation and traces to accelerate Root Cause Analysis (RCA) and produce parameter recommendations under policy constraints.
Baseline governance for multivendor networks. Detects drift between the planned configuration and live network, validates schemas and dependencies, and applies zero‑touch or supervised remediation with full auditability.
Geolocation analytics that minimize field campaigns. Combines probabilistic models, RF fingerprinting and traffic/event signals to estimate location (including floor‑level) and classify indoor/outdoor usage with confidence scoring.
Request a demo or start a pilot to validate AI-driven optimization, consistency and driveless geolocation.
Recommendations are validated against guardrails and policy rules. Dry‑runs, staged rollout and automatic roll‑back ensure network stability.
Yes. Xmart AI runs baseline vs. live audits across multi‑vendor domains, flags drift, and applies zero‑touch or supervised remediation with full audit logs.
In dense urban deployments, floor‑level accuracy is achievable. Confidence scores are provided so planners know when additional validation is required.
Adapters for major OSS/EMS/NMS, ticketing systems, GIS, and planning platforms. Data ingestion covers traces, KPIs, alarms, counters and probes.
No. Xmart AI is containerized and runs on‑prem, private cloud or managed SaaS with regional residency, depending on operator requirements.
End‑to‑end encryption, role‑based access (RBAC), tenant isolation, and immutable logs. Supports SSO/IdP (SAML/OIDC) for enterprise integration.