Scale AI across networks,
operations, and customer experience.
Openlayer helps telecom and media teams test what works, monitor performance in production, and expand successful AI across products, markets, and customer interactions.
Book a demo
90%
of telecom respondents say AI is helping increase revenue and reduce costs
Source: NVIDIA’s 2026 State of AI in Telecommunications
65%
of telecom operators say AI is driving network automation
Source: NVIDIA’s 2026 State of AI in Telecommunications
40%
of media and entertainment executives say their organizations have launched more than 10 AI agents
Source: Google Cloud’s 2025 ROI of AI in Media and Entertainment
AI is moving deeper into telecom operations, but governance has not kept up.
Telecom companies are deploying AI across network operations, customer service, security, and digital products. As AI expands across teams, models, and vendors, it becomes harder to evaluate performance, monitor production behavior, govern deployments, and control costs.
AI decisions are difficult to explain.
As AI influences network operations and customer interactions, teams need evidence of why a model made a decision and whether it can be trusted. Without explainability and documented evaluations, operational risk grows.
Production performance changes with live network conditions.
Traffic patterns, customer behavior, and model updates continuously affect AI performance. Without ongoing monitoring, quality issues, drift, and policy violations are difficult to detect.
Governance is scattered across systems.
Approvals, evaluations, production monitoring, and model costs are spread across disconnected tools, making it difficult to explain decisions, prove compliance, or understand operational risk.
The telecom leaders of the next decade will be AI-driven.
AI is improving network optimization, customer service, security operations, and business efficiency across the industry. Organizations that can confidently deploy and scale AI will deliver better service while operating at lower cost.
The challenge isn't building more AI. It's proving every system remains accurate, secure, governed, and cost-effective as it evolves in production.
Govern every AI system
from one place.
Openlayer connects governance requirements directly to evaluation, deployment tests, production monitoring, guardrails, and cost controls.
Evaluate every telecom AI use case.
Test network optimization, anomaly detection, traffic forecasting, customer service, security monitoring, and operational AI against the quality metrics that matter to your business.
Continuously monitor performance.
Track quality, drift, latency, safety, and business outcomes across live AI systems. Compare performance by model, region, product, or deployment to quickly identify issues.
Protect AI in real time.
Block prompt injection, sensitive customer data leakage, unsafe outputs, and policy violations before they reach users or downstream systems.
Keep governance continuously up to date.
Maintain a complete record of AI systems, owners, approvals, evaluations, controls, and production evidence as every system evolves.
Optimize AI investment.
Attribute model and token spend to products, teams, and use cases. Compare cost with quality and business outcomes to maximize the return on AI.
Ship AI with confidence.
Automatically enforce quality, safety, governance, and cost requirements before every deployment so only approved AI reaches production.
Trusted by regulated leaders: Sun Life and Gallagher (insurance); Rogers, KPN, and Comcast (telecom and media).
Backed by Y Combinator and Race Capital (KPN Ventures is also an investor). SOC 2 Type II and GDPR compliant.
Multi-region hosting in the EU or the US for regulatory compliance.
Backed by Y Combinator and Race Capital. SOC 2 Type II.
Founded by ex-Apple/Siri ML engineers.
Bring every AI system under one roof
Evaluate, monitor, govern, and optimize AI across network operations, customer service, security, and digital products from a single platform.