Unified video management with AI models for every stream — Bring Your Own Model, no vendor lock-in.
Build a Voice AI Agent that answers, assists, and automates every call — no code required. 8+ channels from one build.
AI VMS is a unified video management solution that combines intelligent NVR functions with user-configurable AI models for video camera streams. It handles multiple video camera streams simultaneously and runs AI models for each stream required for different modalities. The AI VMS supports a Bring Your Own Model (BYOM) architecture — no vendor lock-in on the AI model side, offering a plug-and-play way to run any AI model on any video stream.
Simultaneously process multiple video camera feeds (IP or USB) and apply individual AI models for distinct analytical modalities per stream.
Plug-and-play architecture with zero vendor lock-in. Run your custom AI models on any camera stream across your deployment effortlessly.
Instant frame extraction, normalized pre-processing, and optimized feature fusion for rapid action recognition and event detection.
Supports unlimited IP and local USB cameras, complete with audio listen-and-talk communication options.
Stores stream recordings locally over multiple days with configurable day-wise cloud upload capabilities.
Apply object classification, people counting, license plate recognition (ANPR), and custom models per stream.
Receive notifications via Email, SMS, custom HTTP API webhooks, MQTT endpoints, and instant push notifications.
Seamless integration with Cloud storage and Generative AI platforms like OpenAI (ChatGPT) and Claude for advanced triggers.
Monitor live views and historical recordings directly from mobile devices with interactive audio control.
Maximize your existing investments while elevating your security capabilities.
Retain and utilize your existing operational legacy cameras without costly hardware replacements.
Upgrade your system architecture in phases without operational downtime.
A single AI VMS Box centralizes processing across multiple high-demand stream workloads.
Deploy and update edge AI models instantly as your organizational requirements evolve.
Build a Voice AI Agent that answers, assists, and automates every call. Create a no-code voice AI agent that handles inquiries, reminders, approvals, and everyday requests — engaging customers the way most of them already prefer: by voice.
Enter your details and our demo Voice AI Agent, built entirely with AgentBuilder, will call you in seconds.
This spins up a real call flow through your AgentBuilder demo agent — no engineer required.
Customer details spread across calls, forms, chat, and email make it hard to keep data integrity and security consistent across every touchpoint.
Sensitive conversations still need a human touch, but stretched teams can't be everywhere — automation and empathy end up in tension.
Every CRM, ERP, and telephony platform speaks its own language, so integration complexity slows every new automation project down.
Without continuous monitoring, automated responses can quietly degrade or drift — introducing bias no one notices until it's a complaint.
Personalized engagement on every channel, instantly
Operational efficiency through automated, optimized workflows
Decision-making powered by real-time predictive analytics
Brand messaging across every touchpoint, building loyalty
Illustrative outcomes based on typical AgentBuilder deployments — swap in your own measured results once your agent is live.
Build
Test
Integrate
Go Live
Analyze
Build — Define goals and write instructions in plain language, no code.
Test — Run text and voice conversations, flag bad replies, fix them inline.
Integrate — Connect your LLM, STT, TTS, CRM, ERP, and telephony stack.
Go Live — Publish across voice, SMS, WhatsApp, email, and web.
Analyze — Track usage and success metrics, keep tuning instructions.
| Layer | What it handles |
|---|---|
| Telephony | SIP-based DID numbers with multi-channel support for inbound and outbound voice calls |
| Voice pipeline | Real-time STT → LLM → TTS handling for natural, low-latency conversation |
| Language understanding | NLP for intent extraction, requirement parsing, and sentiment detection |
| Integrations | Connects to existing CRM, ERP, and marketing platforms out of the box |
| Analytics | Automated data pipelines feeding real-time analytics across every channel |
| Compliance | Built with data privacy regulations in mind, including GDPR and India's data protection laws |
Collects audio from SIP/RTSP streams and microphones, and text from chat, forms, email, and APIs.
Cleans and prepares each modality — spectrograms and noise reduction for audio, NLP parsing for text.
Combines audio and text signals into one representation using attention-based, transformer-style fusion.
Runs the right model for each input — CNN/RNN for audio, LLMs for text — then fuses the predictions.
Delivers the response and surfaces real-time classification, event detection, and predictive alerts.
Transfers to a human agent with full context retained whenever a conversation needs a person.