Physics-informed
Trained on RF propagation, fibre photonics and copper electromagnetism, so it reasons about networks the way an engineer does.
TSLAM · Telecom-Specific Large Language Model The telecom LLM
The telecom LLM
the whole industry benchmarks against.
TSLAM learns from network physics and 100B+ tokens of telecom data, giving operators focused reasoning that runs securely in their chosen environment.
1st & 3rd Domain reasoning & network engineering, GSMA benchmark (23 models)
~93%Domain intelligence on telecom workflows
100B+Tokens of engineered telecom data
10–15×Cheaper, on-premise & air-gap ready
Why TSLAM
Intelligence built around how networks actually behave.Built for telecom.
Sovereign by default.
Built for telecom work, TSLAM reasons from network facts, uses approved tools and acts within operator policy while keeping sensitive data sovereign.
A real data moat
100B+ tokens of telecom-specific data built from a purpose-made data engine, not web scrapes. You can't shortcut it.
Enterprise-grade governance
Policy guardrails, role-based access control and audit trails, backed by evidence-based safety and bias checks built in by design.
Sovereign & private
Runs fully on-premise or on a desk-side edge device. No cloud-LLM dependency, no data leaving your network.
Action, not just chat
A Large Action Model: it reasons, calls tools and drives workflows across OSS/BSS, not just summarises text.
Open & proven
Open-source variants with 26,000+ downloads on Hugging Face, and independently ranked by the GSMA.
The family
More than a model.
A telecom AI foundation.
TSLAM brings language, search and live voice into one telecom model system, giving network and customer teams the same trusted context.
01Reason
TSLAM
Telecom LLM
The reasoning and action engine underneath ViNG agents and Ask ViNG, the natural-language interface to Digi-Twin.
02Retrieve
T-VEC
Telecom vectorization
The industry's first open-source telecom tokenizer: 0.825 avg MTEB score and 0.938 on an internal telecom triplet test, versus <0.07 for generic embedding models.
03Converse
T-Synth
Low-latency voice
End-to-end ASR + LLM + TTS voice pipeline (TTE & T-Synth) with sub-600ms response, built for multilingual, human-like conversation.
Open-source & enterprise models
6 telecom-specific LLMs
shipped in 2 years
From compact desk-side models to enterprise reasoning, teams can match size, speed, cost and deployment mode to each telecom task.
Open source
Available on Hugging Face01↗
Oct '24 · Edge Computing
TSLAM-4B
Retrieve runbooks and telemetry, ground responses with RAG.
View on Hugging Face →02↗
Jul '25 · Laptop & Desktop
TSLAM-Mini-2B
Assist field ops with checklists, commands and context.
View on Hugging Face →03↗
May '25 · Cloud & On-Prem (GPU)
TSLAM-8B
Operate agent workflows, call tools, enforce policies.
View on Hugging Face →04↗
Embedding Model
T-VEC
Telecom-specific embeddings: 0.825 avg MTEB, 0.938 on an internal telecom triplet test.
View on Hugging Face →Enterprise variants
Private and sovereign deployment05
Cloud & On-Prem (GPU)
TSLAM-18B
Reason across layers; propose root cause and remediations.
06
Cloud & On-Prem (GPU)
TSLAM-30B
Deeper multi-layer reasoning for complex, cross-domain network operations.
07
Cloud & On-Prem (GPU)
TSLAM-108B
Frontier-scale reasoning for the hardest, cross-domain telecom workflows.
08
Cloud & On-Prem (GPU)
CxLAM
Customer service, support and troubleshooting.
Solutions
Beyond TSLAM:
the broader NetoAI ecosystem.
TSLAM and T-VEC connect with predictive ML, voice AI and model tooling to form a broader, governed telecom intelligence ecosystem.
20+ predictive models
ML Hub
A library of 20+ machine learning models driving predictive and adaptive capabilities, so teams forecast, optimize and automate operations across the customer and network lifecycle with scalability, precision and transparency.
T-Synth · sub-600ms
Voice Model
Human-like conversation through T-Synth TTS, engineered for immediacy, clarity and multilingual reach. An enterprise-ready voice agent for frictionless, contextual experiences.
Fine-tuning pipeline
Model Que
Converts any document, PDFs, reports, manuals, logs, into a structured query-answer dataset for fine-tuning, turning a generic base LLM into an industry-specific model that's efficient, accurate and deployment-ready.
ML lifecycle tool
Predictor
Streamlines the entire ML lifecycle, from data pre-processing and visualization to model selection, training and evaluation, with built-in accuracy tracking and deployment.
ML Hub
20+ models trained across the customer and network lifecycle
More than 20 focused models support planning, fulfilment, assurance, retention and growth across the network and customer lifecycle.
Network alarm management
Alarm correlation, network outage prediction, AI-driven root cause analysis
Network fault troubleshooting
Network fault prediction, guided fault troubleshooting, closed-loop automation
Network planning
Capacity forecasting, automated plan and build, digital twin simulation
Sales & marketing
Personalisation model, sales forecast model, recommendation engine, lead scoring, dynamic pricing model
Intelligent customer service
Customer reliability analysis, sentiment analysis, customer lifetime value analysis, churn prediction, customer feedback analysis
Service delivery
Intent-driven service fulfilment, automated optimal path selection, quote-to-order conversion assistant
Voice Model
Next-gen voice AI for human-centric enterprise conversations
<600msEnd-to-end response
Human-centric conversations
Intelligent interruption handling with multilingual fluency and regional dialect adaptation, making every interaction natural and effortless.
Unified omnichannel experience
Connect across calls, apps, IVR or digital platforms, ensuring consistency everywhere customers engage.
Voice cloning & personalization
Realistic, brand-aligned voices that adapt to your enterprise identity and customer expectations.
Real-time responsiveness
End-to-end responses in under 600ms, enabling real-time, natural, fluid conversations.
Flexible enterprise deployment
Built for any environment, mobile, on-prem or cloud, with enterprise-grade portability and control.
Enterprise-grade security & governance
Built-in governance, compliance and enterprise security to protect data and ensure trust at scale.
Built for your network