NetoAI Sovereign AI for Telecom
From networks you operate to networks that operate themselves.
NetoAI builds sovereign, telecom-specific AI, from the industry's first telecom LLM (TSLAM) to the TelcoCore agentic platform, embedding real-time automation and reasoning at the core of the network and customer lifecycle.
ViNGAct
TSLAMReason
Digi-TwinSimulate
NAPIOrchestrateTrusted by global
technology leaders
Independently proven
A world-ranked telecom AI stack,
designed for enterprise.
The GSMA tested 23 leading AI models on real telecom work. TSLAM-G3 ranked first for domain reasoning and TSLAM-18B placed third for network engineering.
NetoAI TelcoCore™
One AI-native suite.
Powered by a Network AI brain.
TelcoCore unifies telecom knowledge, governed agents, a live Network AI Brain and multi-vendor action in one secure operational platform.
01 / Agentic AI platform
ViNG
Low-code/no-code multi-agent platform built on TSLAM, integrating with enterprise systems to automate intelligent workflows.
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02 / Telecom-specific LLM
TSLAM
The industry's first telecom LLM, trained on 100B+ tokens of real telecom data. Ranked among the world's best on the GSMA Open LLM benchmark.
03 / Network AI brain
DigiTwin
Built on a knowledge network graph, DigiTwin provides real-time network intelligence for AI-driven simulation, planning and root-cause analysis.
Network simulation running
04 / Network orchestrator
NAPI
A unified API layer that bridges legacy and modern networks, accelerating AI-ready integration with 84 pre-built connectors and device onboarding in ~2 minutes.
NAPI architecture ready
The industry yardstick
Built to accelerate
Level 4 network autonomy.
TelcoCore joins trusted network facts, telecom reasoning and governed multi-vendor action to help operators move from Levels 2–3 toward controlled Level 4 autonomy.
Manual & assisted operations
Network operations are human-led, with limited automation supporting routine and repeatable workflows.
Partial autonomy
Closed-loop automation executes predefined operational scenarios under engineer-defined policies and human supervision.
Conditional autonomy
The network continuously monitors and adapts to real-time conditions within predefined operational domains and policy boundaries.
High autonomy
Intent-driven, predictive, and self-healing operations powered by governed AI, with human oversight replacing manual intervention.
Full autonomy
End-to-end autonomous operations across all network domains and lifecycle stages, with minimal human intervention.
Benchmark your current operating model and identify the shortest path to L4.
Proven in production
Real impact with NetoAI
Measured outcomes from telecom AI deployed across network operations, fault prediction, service assurance, sales and customer care.
US Satcom - QoE provider
AI-powered network troubleshooting
Digi-Twin identified root causes across a live network, cutting troubleshooting from 30 minutes to 2.
Leading UK service provider
Proactive network management
Our ML models predicted potential faults days in advance, enabling proactive maintenance and fewer disruptions.
European telecom operator
AI-driven customer lifecycle
ViNG delivered contextual, human-centric conversations and recommendations, improving call deflection within a year.
Our contribution to the AI & telecom community
Advancing open telecom AI through open models and industry standards
Open telecom models, applied research and standards collaboration that advance shared benchmarks, interoperability and responsible industry innovation.
- Hugging Face Downloads on Hugging Face across TSLAM, T-VEC and NetBench
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Partner in Open LLM benchmarking, and builder of the GSMA Agentic AI Testbed -
ODA Component Directory partner, shaping AI-agent standards
Recognition
Recognized by the industry that evaluates it.
Independent research, industry benchmarks, and peer-reviewed publications validating NetoAI's leadership in telecom AI.
Research, benchmarks and industry recognition
Everest Group
TSLAM 1.5B reviewed as a telecom-specific foundation for service lifecycle automation.
Appledore Research
NetoAI profiled for telecom-domain AI, agentic platforms and multi-vendor orchestration.
Omdia
NetoAI benchmark performance featured in research on accuracy for telecom GenAI.
EMNLP 2025
The T-VEC research paper was selected for the 2025 conference.
GSMA
TSLAM ranked among the top LLMs in independent telecom benchmarking.
TM Forum Innovation Hub Pioneer Project 2026 Recognition
Recognized with Jio, MuleSoft and Pega for advancing agentic autonomics and self-remediating networks.
“The company's approach combines telecom domain expertise, agentic AI platforms, and multi-vendor orchestration to address industry challenges like fault prediction and service quality.”