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Velorona.ai delivers intelligent, predictive operations and safe AI remediation across wireless, fiber, and Massive IoT domains.
Enable your network to think, predict, and self-optimize across every layer.
Enable your network to think, predict, and self-optimize across every layer.
Outage Signals Before Alarms with Velorona.ai
"Speed to See. Light to Lead."
Decision lead-time for mission-critical wireless services
Edge-native. Read-only. Works on top of existing systems
Velorona.ai™ transforms silent network signals into Operational Lead Time (OLT) by qualifying instability at the Edge, long before alarms trigger or tickets escalate.
We analyze real-time telemetry to identify hidden degradation during the "False Calm" phase, where dashboards stay green but subscriber quality is already dropping.
Acting as an operational risk intelligence layer, Velorona.ai correlates fragmented signals at the source, suppresses operational noise, and empowers NOC teams to make faster, more defensible decisions before an outage occurs.
Achieve True Network Autonomy.
Outcomes for Telecom Network Operations
Velorona.ai™ transforms complex network telemetry into Operational Lead Time (OLT), enabling NOC teams to move from reactive firefighting to proactive prevention. By identifying silent signal degradation early, teams can intervene before instabilities escalate into costly field dispatches, prolonged MTTR, or SLA-impacting outages.
Operational Noise Reduction
Eliminate False Calm
Velorona.ai suppresses operational noise by qualifying silent network instability, the phase where dashboards stay green, but risk is already accumulating. NOC teams gain clarity on what truly deserves attention, before unnecessary escalations begin.
MTTR Compression
Shorten the Incident Lifecycle
By surfacing early degradation patterns ahead of alarms, Velorona.ai reduces time-to-decision during incidents.
Teams move faster from uncertainty to action, without waiting for service impact.
Avoidable Truck Roll Prevention
Optimize Field Operations
Velorona.ai distinguishes transient instability from genuine site-level failures.
This prevents unnecessary technician dispatches, helping operators reduce avoidable OPEX tied to false field alarms.
SLA & Subscriber Experience Protection
Protect Service Commitments
Hidden degradations often erode subscriber experience long before formal outages occur.
Velorona.ai identifies these risks early, helping operators protect SLAs, revenue, and customer trust.
The Science Behind the Edge
Network failures don’t start at the alarm threshold. They emerge as subtle behavioral drift—long before dashboards turn red. Velorona.ai™ identifies this pre-alarm instability window directly from live edge telemetry, giving NOC teams actionable lead time to intervene before service impact.
Reliability at the Edge is non-negotiable. Velorona.ai is engineered with a CPU-first, GPU-optional architecture, ensuring it runs on existing infrastructure without requiring hardware upgrades. We treat Edge intelligence as a low-priority, event-driven decision filter. By design, our inference engine is strictly resource-bounded; if system capacity becomes constrained, intelligence gracefully steps back to ensure network forwarding and stability are never compromised.
Operational Integrity: CPU-optimized inference with zero-competition logic. Stability first, Intelligence always on-demand.
How We Measure Operational Impact
From early instability to defensible operational decisions.
Measured through two core operational KPIs.
Operational Decision Lead-Time
(ODLT)
The time between the first edge-level deviation from normal network behavior and the moment a NOC operator can make a confident, defensible operational decision.
ODLT exposes hidden risk while the network still appears stable, reducing uncertainty before alarms and incidents occur.
Operational Lead Time
(OLT)
The usable time window gained for operations teams to assess risk, coordinate response, and act before service impact or SLA breach.
OLT complements MTTR by shifting response from reactive firefighting to prepared, lower-stress intervention.
Capabilities for Modern Telecom
Velorona.ai™ is built around core design principles that support operational decision intelligence for real-world, 24/7 telecom networks.
Operational Validation Pathways
NDA-based, non-intrusive pilots designed to validate predictive outage intelligence in real operator environments.
Security & Compliance by Design
Read-only by default, audit-ready architecture aligned with telecom security and compliance frameworks.
Designed for Continuous Network Operations
Built to operate within round-the-clock NOC environments, enabling continuous monitoring and predictive insights across shifts and regions.
Architecture for Distributed Telecom Environments
Designed for complex, distributed telecom networks spanning regions, technologies, and operational teams.
Operational Intelligence with Human Control
Outcome-focused intelligence that supports operational decisions without automated actions or loss of operator control.
Where Velorona.ai Fits
Velorona.ai™ integrates as a predictive intelligence layer within existing telecom infrastructures, without disrupting current operations.
Wireless Networks (RAN & Core)
Outage prediction and early KPI/QoS degradation detection across radio and core network elements.
Fiber & Access
Predictive intelligence for transport and access layers (PON, HFC, transport), enabling early visibility into failures and capacity risks.
Edge → Cloud
Edge-native inference for low-latency prediction with centralized visibility and operational control.
Satellite & Non-Terrestrial Networks (Roadmap)
Planned expansion toward predictive resilience for satellite-enabled and hybrid networks, aligned with future NTN architectures.
Standards-Native Signal Qualification
Velorona.ai applies a standards-native, carrier-grade signal qualification layer at the Edge, validating network telemetry before it is promoted to operational intelligence.
Standards-Based Validation
3GPP-Aligned Signal Validation
Incoming telemetry is validated against operationally valid ranges derived from 3GPP and related telecom standards, ensuring that only physically and operationally meaningful signals enter downstream intelligence.
Noise Is Not Ignored
Suppressed Instability Tracking
Out-of-standard data is not discarded blindly. Its frequency, variance, and recurrence are tracked separately to expose early instability patterns that traditional threshold-based systems suppress.
Edge-Level Discipline
Signal Qualification at the Edge
Qualification happens at the Edge, before aggregation or alerting. This reduces noise propagation, protects downstream models, and preserves decision integrity under high-volume telemetry conditions.
Decision-Grade Outcomes
Reduced Noise, Defensible Decisions
By enforcing standards-native discipline upfront, Velorona improves signal-to-noise ratio, reduces false positives, and enables operators to act with confidence before alarms fire.
Operational Boundaries
Velorona.ai engineered for high-trust integration with Tier-1 network governance and vendor ecosystems.
Zero Control-Plane Interaction
Operates without any ability to control, configure, or modify network elements.
Velorona.ai never issues commands to the network.
Out-of-Band Intelligence Layer
Runs outside the traffic and control paths, ensuring zero impact on live network operations even in failure scenarios.
No Autonomous Actions
Velorona.ai generates qualified decision signals, not automated paging, remediation, or enforcement.
All actions remain explicitly operator-driven.
Ecosystem Coexistence
Designed to complement existing OSS, NMS, and vendor platforms without replacing or disrupting them.
Why Velorona.ai
Velorona.ai exists to support decision defensibility during early network instability, before alarms, not instead of them. Currently,
Velorona.ai is focused on validation through targeted pilots with operational teams, prioritizing correctness and trust over premature scale.
Multi-Cloud & Portable
Deployable across public cloud, private cloud, and on-prem environments. API-first and vendor-neutral by design.
Edge→Cloud Scalability
Designed to scale from edge sites and gateways to regional and centralized clusters safely and efficiently.
Security & Compliance
Read-only by default, audit-ready, and aligned with telecom security and compliance frameworks.
SDK &
Accelerators
Telecom-focused SDKs and accelerators designed to shorten pilot cycles and reduce integration friction.
The Velorona.ai™
Pre-Incident Qualification for Network Operations
Modern networks rarely fail instantly. Most operational risk accumulates during a critical window where systems appear stable, but conditions are changing fast enough that delayed decisions become costly.
Velorona.ai focuses on this decision window, providing the necessary intelligence to support operational judgment before alarms trigger, working alongside your existing systems, not instead of them.
Pre-Failure Decision Intelligence
Early detection of stability degradation patterns across RAN and core layers to support operational judgment before service impact
Edge-Native Telemetry Correlation
Real-time correlation of network telemetry at the edge, enabling faster root-cause analysis and improved MTTR for NOC teams.
Non-Intrusive Operator Integration
Deployed in shadow-mode with read-only access, integrating seamlessly with existing operator tools, workflows, and monitoring systems.
Operational Decision Support
Actionable, outcome-focused insights designed to support human-in-the-loop decisions without automated actions or loss of operator control.
Engagement Models for Network Operators
Velorona.ai supports multiple engagement paths — from early validation to long-term operational deployment.
Phase 1 — Operational Engagement & Signal Discovery
We work with network, operations, and NOC teams to identify priority outage scenarios, define KPIs, and establish measurable success criteria. This engagement can evolve into continuous deployment based on operational readiness.
Phase 2 — Shadow Deployment & Decision Intelligence
Deploy Velorona in read-only shadow mode to surface pre-alarm signals and decision lead-time across active service paths.
Work with Velorona.ai
Engage through a structured pilot and scale through platform access, partnerships, or selective advisory support.
False Calm Assessment
Live Telemetry Validation
Description: A low-risk, read-only engagement using standardized, no-agent data ingest to identify early instability patterns and “false calm” conditions from live telemetry, without triggering alerts, modifying network state, or requiring infrastructure changes.
Strategic Pilot Program
Operational Validation
Description: A structured, high-trust pilot designed to evaluate decision-grade signals across operational domains during live network activities. This phase moves beyond observation into supported operational evaluation, validating the Decision Window in a real-world environment.
Velorona.ai™ Platform & SDK Access
Production-Ready Intelligence
Description: Enterprise-grade access to Velorona’s intelligence layer via modular SDKs for edge, cloud, or on-prem environments. Provides permanent Decision Context for NOC and Engineering teams, following successful pilot validation.
Built for Telco-Grade Readiness
Engineered for live networks, where uptime is non-negotiable.
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Read-only by default, non-intrusive by design
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Secure ingestion of live telemetry with zero traffic impact
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Designed for 24/7 NOC workflows and operational realities
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Deployable across edge, private infrastructure, and cloud
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Aligned with telecom KPIs and real-world operational metrics
Who Velorona.ai™ Is Designed For
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Telecom network operators and infrastructure teams
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Organizations running 24/7 production networks
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Teams seeking predictive intelligence for live network operations
Ready to Explore a Strategic Pilot?
Velorona.ai is designed for environments where decision context before alarms matters.
A low-risk, read-only pilot focused on decision-critical operational signals, aligned with existing NOC workflows and governance.
Contact
Toronto(GTA), Ontario, Canada
Edmonton, Alberta, Canada
1647-272-4385
Sales: sales@velorona.ai
General: contact@aidedgeinc.com
