LumiQBrain builds AI systems that bridge large language models with real-world telecom standards and infrastructure — from natural-language operating systems to standards-grounded Q&A and self-healing networks.
Built with
Open-source AI systems built for real-world telecom and infrastructure — from natural-language interfaces to standards-grounded intelligence.
LLMOS reimagines how humans interact with systems — using natural language as the primary interface for OS-level operations, automation, and intelligence.
ASK3GPP answers 3GPP questions with machine-verified citations — every claim labeled spec-grounded or mechanism-inferred, checked against 9,500+ spec sections.
LLM-driven task automation with an extensible agent framework, built to plug new tools and workflows into LLMOS as it grows.
Deep expertise in 3GPP standards, 5G, and network intelligence — baked into every project, not bolted on.
LLMOS and ASK3GPP ship open source on GitHub — fork them, file issues, or send a pull request. Some projects, like TelecomOS, are private by request.
Built with Python, FastAPI, React, and AWS to scale from prototype to real deployments.
AI tools built for real-world telecom and infrastructure challenges.
An AI-native operating system layer powered by large language models. LLMOS reimagines how humans interact with systems — using natural language as the primary interface for OS-level operations, automation, and intelligence.
Telecom Spec Assistant
"Answers to the hardest 3GPP questions — with the receipts."
SME-grade 5G NR answers where every claim is labeled spec-grounded or mechanism-inferred, and every citation is machine-verified against the spec archive — no hallucinated references.
Private Network Intelligence
Zero-egress AI for the NOC — telemetry never leaves your machine.
Root-cause analysis, alarm-storm correlation, and human-gated self-healing for 5G networks, built on LLMOS — the model, the reasoning, and the data all stay local, even air-gapped.
A Claude Code skill for fan-out anomaly triage across a 5G PM/KPI export — one detector agent per cell, an adversarial refuter to kill false positives, then a ranked NOC incident report.
View on GitHub →A full ingest → parse → chunk → embed → index → query pipeline for 3GPP specs on AWS — Bedrock (Claude + Titan), PostgreSQL + pgvector, and a LangGraph query engine.
View on GitHub →"The AI agent your security team won't hate." A self-hosted agent platform on LangGraph and Claude — OPA policy checks before every tool call, encrypted memory, and a tamper-evident audit log.
View on GitHub →Dilip Tandekar
Senior Staff 5G RAN Engineer — Open RAN & AI-Driven Network Optimization
20+ years in wireless engineering, including greenfield 5G SA deployments at DISH Wireless. 10 US patents, 3 AI platforms shipped, and 5 professional certifications spanning RAN and AWS AI/ML.
Open to Senior RAN Engineering · AI Platform Architecture · Satellite-to-Cellular (NTN) · Remote or Relocation.
LLMOS and ASK3GPP are free and open source today; TelecomOS is available by request. We're productizing hosted versions — here's the shape of what's coming.
For hackers & side projects
For teams that want it hosted
For telecom operators & carriers
No customer logos to show yet — here's what we're building next instead.
A managed API so teams can query 3GPP specs with machine-verified citations, without hosting the pipeline themselves.
A registry of community-built agents and tools that extend LLMOS's natural language OS layer.
Private VPC and on-prem deployment options for telecom operators with strict data residency needs.
LumiQBrain is an open-source initiative building AI systems at the intersection of large language models and telecom infrastructure — including LLMOS, ASK3GPP, and TelecomOS.
LLMOS is an AI-native operating system layer that lets you interact with OS-level operations, automation, and intelligence using natural language, powered by an extensible agent framework.
ASK3GPP gives SME-grade 5G NR answers with machine-verified citations — every claim labeled spec-grounded or mechanism-inferred, checked against 9,500+ spec sections and 5,000+ tables. It uses structured knowledge compilation instead of vector RAG, which cuts hallucinated references and token usage by roughly 93%.
TelecomOS is zero-egress AI for the NOC — root-cause analysis, alarm-storm correlation, and human-gated self-healing for 5G networks, built on LLMOS so the model, reasoning, and telemetry all stay local, even air-gapped. Every remediation is propose → RBAC-approve → execute → verify, with a tamper-evident audit chain.
Mostly. LLMOS and ASK3GPP are open source and available on GitHub — fork them, file issues, or send a pull request. TelecomOS is currently a private repository; email support@lumiqbrain.ai to request access.
Check out the projects on GitHub, or email support@lumiqbrain.ai if you want to collaborate, contribute, or just talk AI & telecom.
Whether you want to contribute, use these tools, or just talk AI & telecom — reach out.