Multivendor AI Platform

Smarter Networks.

Configuration Integrity. Driveless Geolocation.

AI for Optimization, Consistency & Geolocation

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.

Meet the Xmart AI Suite

AI-native modules engineered for multivendor environments, focused on accuracy, repeatability, and safe change management.

Xmart Optimization

Closed-loop optimization that fuses geolocation and traces to accelerate Root Cause Analysis (RCA) and produce parameter recommendations under policy constraints.

Xmart Consistency

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.

Xmart Driveless

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.

Why leading teams choose Xmart AI

Lower field costs with driveless intelligence

Faster RCA and parameter tuning with AI

Always-on configuration integrity

Clear insights for both engineering & leadership

Cloud-native, no desktop post-processing

Flexible deployments and integrations

Ready to see it live?

Request a demo or start a pilot to validate AI-driven optimization, consistency and driveless geolocation.

Frequently Asked Questions

How do AI recommendations stay safe?
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.

Still have questions?

Use Cases That Deliver Value

Optimize new 4G/5G sites in dense cities using counters and driveless geolocation. Apply tilt/PCI/neighbor plans before limited validation campaigns.
Continuous multi‑vendor audits detect misalignments post‑integration or feature activation, reducing outages caused by configuration drift.
Validate baselines for EN‑DC, DSS, VoNR or carrier aggregation. Roll out features with policy guardrails and monitoring, limiting drive tests to edge cases.
Use floor‑level heatmaps to identify demand clusters. Recommend load balancing, handover and scheduler changes to improve QoE.
Locate buildings with poor indoor performance. Plan small cells or DAS and confirm improvements with targeted walk tests only.
Correlate KPIs, alarms and traces to pinpoint interference, parameter errors or neighbor gaps. Provide engineers with actionable fixes and rollback plans.
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