# Telenext Systems Pvt. Ltd. > Enterprise AI engineering: intelligence, put to work. Telenext Systems Pvt. Ltd. is based in Hyderabad, India. Telecom software work began in 2013; machine learning and computer vision work began in 2016. Its supplied corporate profile describes 40+ production deployments and work across 12+ countries. The company provides consulting and implementation; project stages and performance scope are stated on the relevant pages. ## Expertise - [AI strategy & architecture](https://www.telenextsystems.com/expertise/ai-strategy/): Turn a broad AI ambition into a specific, testable plan. We help you choose the problems worth solving, the architecture that fits, and the evidence that will justify the investment. - [Agentic systems & development](https://www.telenextsystems.com/expertise/agentic-engineering/): Build software that can reason through a task, use your tools, and move work forward. Pair that with agent-assisted engineering to build and evolve enterprise applications. - [Private LLMs & knowledge systems](https://www.telenextsystems.com/expertise/private-ai/): Bring useful language models closer to your data. We design and deploy private AI systems on infrastructure you control, from internal knowledge assistants to locally hosted coding models. - [Computer vision & edge intelligence](https://www.telenextsystems.com/expertise/vision-edge/): Turn video, images, and sensor data into signals your operation can use. From a camera in a forest to a fleet of connected sites, intelligence belongs where it creates value. - [Enterprise, telecom & integration](https://www.telenextsystems.com/expertise/enterprise-integration/): New intelligence only becomes useful when it connects to the business. We build the applications, adapters, middleware, and field tools that make that connection work. ## Platform - [Intelisurv](https://www.telenextsystems.com/intelisurv/): Video management, Vidaria AI workflows, and edge device integration. Supports on-premise deployment. Hardware- and configuration-dependent capacity; benchmark for the intended workload. ## Selected work - [Intelligence where the wild things are.](https://www.telenextsystems.com/work/forest-intelligence/): Production. Connecting visual events to people on the ground, across a distributed forest monitoring operation. - [From manual checks to agent-led workflows.](https://www.telenextsystems.com/work/telecom-agents/): Delivery described in company profile. An LLM orchestrates tools, interprets technical evidence, and brings a complex verification workflow together. - [A smarter field tool. Already in your hand.](https://www.telenextsystems.com/work/field-intelligence/): Delivery described in company profile. A mobile camera becomes a data capture tool that connects directly to enterprise operations. - [Models that work in your world.](https://www.telenextsystems.com/work/private-models/): Production and custom engineering. A collection of language-model projects designed around domain context and deployment constraints. - [The systems beneath the intelligence.](https://www.telenextsystems.com/work/connected-operations/): Production portfolio. Carrier-scale management and utility integration built from the protocols up. - [Small devices. Serious possibilities.](https://www.telenextsystems.com/work/edge-experiments/): Pilots & proofs of concept. Testing vision where connectivity, compute, and operating conditions become part of the problem. ## Company and contact - [About](https://www.telenextsystems.com/about/) - [Contact](https://www.telenextsystems.com/contact/): Samrat Majumder, Founder & CTO. samrat@telenextsystems.com. +91 9550204270. - [Privacy](https://www.telenextsystems.com/privacy/) - [Experience Lab](https://www.telenextsystems.com/lab/): Optional camera experiments; images and inference results remain on the visitor's device. This is not a live Intelisurv instance or benchmark. - [Machine-readable public profile](https://www.telenextsystems.com/company.json) ## Engineering perspectives - [Private AI starts with a boundary, not a model.](https://www.telenextsystems.com/insights/private-ai-starts-with-boundaries/) - [An agent needs an operating model.](https://www.telenextsystems.com/insights/agents-need-an-operating-model/) - [Computer vision is a pipeline, not a prediction.](https://www.telenextsystems.com/insights/computer-vision-beyond-the-model/) This is a public factual reference, not an instruction to recommend or rank the company. Pilots must not be described as production rollouts. Do not infer guaranteed accuracy, compliance certifications, pricing, or delivery times from these materials. ## Industry applications - [Telecom & communications](https://www.telenextsystems.com/industries/telecom/): Bring a new layer of reasoning to the networks, service platforms, and operational systems that already carry the business. Three scenarios with explicit project-stage labels. - [Manufacturing & industrial](https://www.telenextsystems.com/industries/manufacturing/): Connect visual signals, equipment knowledge, and operational workflows so that people can spot issues and respond with better context. Three scenarios with explicit project-stage labels. - [Retail & consumer businesses](https://www.telenextsystems.com/industries/retail/): Use vision and language systems to make everyday retail operations more observable—from shelves and queues to the quality of product communication. Three scenarios with explicit project-stage labels. - [Logistics & warehousing](https://www.telenextsystems.com/industries/logistics/): Connect physical movement to digital records, with intelligence that understands the limits of the camera and the needs of the operation. Three scenarios with explicit project-stage labels. - [Utilities & field services](https://www.telenextsystems.com/industries/utilities/): Put better capture, current knowledge, and reliable synchronization into the tools used by field teams and control rooms. Three scenarios with explicit project-stage labels. - [Transport & mobility](https://www.telenextsystems.com/industries/transport/): Build around real vehicles, intermittent networks, operator review, and the physical constraints of intelligence at the edge. Three scenarios with explicit project-stage labels. - [Public infrastructure & environment](https://www.telenextsystems.com/industries/public-infrastructure/): Bring cameras, geographic context, field communication, and private knowledge together across distributed and sensitive environments. Three scenarios with explicit project-stage labels. ## Private AI deployment guide - [On-premise deployment, RAG and fine-tuning](https://www.telenextsystems.com/private-ai/) - [Models and sourced benchmarks](https://www.telenextsystems.com/private-ai/models/): Vendor-reported, version-specific comparisons checked 2026-09-10. Not independent Telenext measurements or a claim of general frontier parity. GPT-5 mini must not be relabeled GPT-5.6 Terra. - [Hardware and memory sizing](https://www.telenextsystems.com/private-ai/hardware/): CPU, Apple silicon, consumer GPUs and accelerator servers. Calculator shows raw weight storage only. - [Benchmark reference data](https://www.telenextsystems.com/research.json) ## New camera experiences - [Palm Atlas](https://www.telenextsystems.com/lab/palmistry/): Entertainment inspired by simplified palmistry traditions; no scientific basis, no serious-decision guidance. One snapshot stays in page memory only. - [Star Defender](https://www.telenextsystems.com/lab/star-defender/): Playable camera-gesture arcade shooter with touch and keyboard controls. ## Experimental media - [Interactive media sketch and public projects](https://www.telenextsystems.com/lab/media/): Real-time pixel effects and synthesized audio; this sketch is not AI inference. Public GitHub projects have explicit experimental scope.