Telenext Systems is a deep-technology firm helping organisations scale with production-grade Agentic AI, Computer Vision, and LLM engineering — deployed on infrastructure you own, with zero cloud lock-in.
Founded in 2012, Telenext Systems began writing SS7, SMPP, USSD and IN stacks for Tier-1 telecom operators. Thirteen years of deep-stack engineering naturally evolved into computer vision, machine learning, and large language model agents.
Today we operate LLMs, agentic frameworks, vision models and edge hardware in production for forest departments, naval dockyards, telcos and retailers. Not from a reference architecture — from the field.
SS7, SMPP, USSD and IN stacks for Tier-1 operators. Billion-call production systems from year one.
Expanded into enterprise web, mobile, IoT. First computer vision deployments for BMW, wildlife surveillance.
Rajasthan Forest 400-camera deployment. EMS v2 for Sangoma/Ooredoo. Enterprise analytics platforms.
LLM fine-tuning, agentic frameworks, naval AI, Vi India SIM automation. Positioned as AI consulting partner.
Production platforms, not consulting ware. Every service we offer is grounded in systems we operate ourselves.
Enterprise-grade AI surveillance with real-time computer vision. 64+ cameras per node, sub-second detection, and a no-code AI workflow builder — all 100% on-premise.
Foundation model fine-tuning, RAG pipelines, agentic workflow design, and edge inference — from LoRA training on Llama/Mistral to ONNX deployment on Jetson hardware.
Deep-protocol telecom engineering: SS7, SMPP, USSD, Diameter and SIGTRAN stacks. EMS v2 manages 500+ VoIP nodes with 4+ years continuous production at Tier-1 carriers.
Full-stack enterprise applications, IoT and SCADA integration, cloud-native DevOps, data warehousing, and billing middleware — from greenfield builds to legacy modernisation.
We help organisations understand where AI creates real leverage — and then we build and deploy those systems in production. No slide decks. No proof-of-concept theatre. We operate AI in naval dockyards, forest departments, and telecom operations centres.
"AI is not a pivot for us. It is the continuation of a thirteen-year habit of solving the layer beneath the easy answer."
We audit your workflows and identify high-leverage AI insertion points — where agents or vision models create measurable operational impact.
We recommend the right stack — LLM, vision model, edge hardware — sized to your data, compute budget, and privacy constraints.
We engineer the full pipeline: data preparation, model fine-tuning, agentic workflow, integration, and on-premise deployment — no cloud dependency required.
Production handoff with SLA support, model drift monitoring, continuous improvement cycles, and team enablement.
LoRA/QLoRA training on Llama 3, Mistral, Gemma, and Phi-4 for your domain-specific tasks and brand voice.
LLM-as-controller architectures that autonomously plan, execute multi-step tasks, and call external tools and APIs.
Retrieval-augmented generation for enterprise document search, knowledge bases, and compliance reporting.
INT8/GGUF/ONNX quantization for deployment on Jetson Orin, Intel NUC, Raspberry Pi — no cloud required.
Multimodal systems combining computer vision with LLMs — natural language video queries, scene understanding, visual QA.
100% on-premise. Your data never leaves your infrastructure. Built for regulated industries and government organisations.
Convert manual, repetitive workflows into machine-executable agent pipelines — QA automation, compliance, data extraction.
Pragmatic assessment of where AI creates real leverage vs. where it adds complexity — honest, field-tested guidance.
Four platforms born from real deployments — not whiteboard designs. Each ships production systems, not demos.
Enterprise AI-first Video Management System with real-time computer vision, GIS command, and natural language video queries. 100% on-premise, zero cloud dependency.
Tech Stack
No-code drag-and-drop AI workflow builder for video analytics. 100+ concurrent streams at under 1 second detection latency. Bring your own ONNX models — complete extensibility.
AI Models Supported
Carrier-grade Element Management System for large-scale VoIP node estates. Fully customisable data acquisition, real-time health, and LLM-assisted operational intelligence.
Protocol Stack
Complete on-premises video conferencing suite built on a hardened open-source stack. Full audio, video, screen sharing — with zero external data dependency, ideal for secure enterprise and government environments.
Complete on-premises suite — your meetings, your data, your infrastructure. Designed for organisations where data sovereignty is non-negotiable.
40+ production deployments across defence, government, enterprise and telecom. Here are a few.
Continuous vehicle, personnel, and boat movement monitoring with NVIDIA Jetson Orin at every edge node. Real-time threat classification and perimeter intelligence at naval scale.
Wildlife surveillance and anti-poaching across 5 forest zones. 400 camera streams analyzed in real-time with 6+ years of continuous production — one of India's longest-running edge AI deployments.
Autonomous SIM onboarding, provisioning and QA agent. Converted 75 manual SIM test cases into machine-executable agentic workflows — interpreting CDRs, OTA logs and switch dumps in natural language.
Managing ~500 VoIP route nodes for Ooredoo and Jio via EMS v2. Operational for 4+ years with billions of calls handled. The system has handled full carrier-scale load continuously without interruption.
Tracks up to 10 learner faces simultaneously, estimates attentiveness via RCTN emotion analysis, and produces time-series interest graphs and mood reports for training effectiveness measurement.
Android app with local ONNX model achieving 95%+ OCR accuracy for automated water meter reading, paired with a LangChain + Gemma RAG pipeline for natural language queries over usage data.
Smart dashcam for driver fatigue detection, distraction, phone use, and smoking detection on a 20-TOPS AI accelerator (RDAS/CVRS platform). Real-time alerting for locomotive safety compliance.
Deployed Vidaria AI on CWC's existing CCTV to detect grain bag arrivals, count bags during load/unload, and automatically surface theft-risk reports — no new hardware required.
60-day proof-of-concept across 2 Pittsburgh stores. Customer mood-trend reports generated hourly and daily from existing CCTV — delivering actionable customer experience intelligence from passive infrastructure.
Our differentiators are not marketing claims — they are architectural decisions made under real operational constraints.
13 years of shipping telecom and vision systems means our AI is built on engineering reflexes, not trend-chasing. We've been running production ML since before it was called AI consulting.
100% on-premise Docker Compose deployment with zero forced cloud. Critical for government, defence, and regulated industries. Your data never leaves your boundary.
AI at every level — device, gateway, server, browser. Typically 90% less bandwidth and storage than server-only analytics. We push intelligence to the edge because that is where the data lives.
GB28181 gateway eliminates static IPs, VPNs, port-forwarding, and on-site IT. Deploy 100 edge AI nodes in a day, not a quarter. Proven on body cameras, dashcams and fixed CCTV.
MediaPipe on-device face pixelation before frames leave the device. GDPR compliance is an architectural property, not a post-deployment checkbox. Privacy is a first-class design constraint.
Bring your own ONNX models, custom LLM connectors via Ollama, REST APIs throughout. No vendor lock-in on data, models, or workflows. Your system stays yours.
A curated, field-tested stack. We choose tools we operate in production — not tools that look good on architecture slides.
Whether you want to transform a specific workflow, deploy a vision system, or map out an enterprise AI strategy — we start with a conversation. No sales pitch. No slide decks. Just a direct discussion about what is actually possible for your organisation.
Tell us about your challenge — we'll respond within one business day.