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Live Video Diagnostic AI Systems

Inference Systems engineers real-time, multimodal AI that analyzes live customer video feeds to guide technical troubleshooting, reduce on-site dispatches by 40%, and slash resolution times.

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ML engineer developing custom LLM, model architecture diagrams on screens, technical deep work environment.

Deploy real-time AI that analyzes live video to diagnose issues, guide customers, and slash field service costs.

Reduce technical support costs by up to 40% by diagnosing issues remotely via live video, eliminating unnecessary truck rolls and parts dispatches.

Our systems combine computer vision for object/gesture recognition with natural language processing to guide customers through troubleshooting in real time.

Real-time analysis: Process live video feeds with sub-second latency using optimized TensorRT or ONNX Runtime pipelines.
Multimodal context: Cross-reference video with customer speech and chat history for accurate, contextual diagnostics.
Proven integration: Seamlessly embed into existing support platforms like Zendesk, ServiceNow, or custom mobile apps.

Key Deliverables:

2-4 week MVP deployment for a defined diagnostic use case.
99.5%+ accuracy in identifying common failure modes from video.
Integration with your ticketing system and knowledge base for automated resolution logging.
A secure, scalable pipeline built to handle thousands of concurrent video sessions.

Move beyond reactive support. Explore our broader capabilities in Multimodal Customer Experience and Voice AI, or learn how we build secure, sovereign AI infrastructure with Confidential Computing for AI Workloads.

DELIVERING TANGIBLE ROI

Measurable Business Outcomes

Our Live Video Diagnostic AI Systems are engineered to deliver concrete, quantifiable improvements in technical support operations, directly impacting your bottom line.

Reduced On-Site Dispatches

Our multimodal AI guides customers through visual troubleshooting steps in real-time, resolving issues remotely. This directly cuts the high costs and delays associated with field technician dispatches.

Up to 40%

Dispatch Reduction

< 5 min

Average Resolution Time

Enhanced First-Contact Resolution

By combining computer vision for object/gesture recognition with contextual NLP, our systems provide agents with precise diagnostic insights, empowering them to solve complex issues on the first call.

25%+

FCR Increase

60%

Handle Time Reduction

Enterprise-Grade Security & Compliance

Built with privacy-by-design principles. Video streams are processed ephemerally with no persistent storage. Our architecture supports compliance frameworks like GDPR and CCPA, ensuring customer trust.

EXPLORE

Seamless Integration & Scalability

Deployable as APIs that integrate directly into your existing CRM, helpdesk software, or mobile apps. Our systems are architected for elastic scaling to handle peak support volumes without degradation.

2-4 weeks

Typical Deployment

99.9%

Uptime SLA

From Proof-of-Concept to Production

Typical Development Timeline & Deliverables

A transparent roadmap for developing and deploying a custom Live Video Diagnostic AI System, from initial scoping to full-scale integration.

Phase & Deliverables	Starter (4-6 Weeks)	Professional (8-12 Weeks)	Enterprise (12-16+ Weeks)
Phase 1: Discovery & Scoping
Custom Diagnostic Workflow Design	1-2 Standard	3-5 Custom	Fully Bespoke
Phase 2: Model Development & Training
Computer Vision Model (Object/Gesture)	Fine-tuned Open-Source	Custom CNN/Transformer	Ensemble + SLM Edge
Multimodal NLP for Guidance	Pre-built Intent Library	Custom Domain-Specific Tuning	Full DSLM + RAG Integration
Phase 3: System Integration	Basic API Endpoints	Full SDK + CRM/CCaaS Connectors	End-to-End with Legacy Systems
Real-Time Video Processing Latency	< 2 seconds	< 500ms	< 200ms
Phase 4: Security & Compliance	Base Encryption	Data Anonymization + Audit Logs	Full Confidential Computing + Regional Data Engineering
Ongoing Support & Maintenance	Email Support	SLA (99.5% Uptime) + Quarterly Updates	Dedicated Engineer + 99.9% Uptime SLA + AI Red Teaming
Typical Investment	$40K - $80K	$120K - $250K	Custom Quote

ENTERPRISE USE CASES

Industries and Applications

Our Live Video Diagnostic AI Systems deliver immediate operational impact by reducing on-site dispatches and accelerating resolution times. We engineer solutions for complex, real-world troubleshooting scenarios.

Telecom & ISP Field Support

Guide customers through self-installation of routers and modems via live video. Our AI identifies incorrect cable connections, missing components, and LED status patterns, reducing technician dispatches by up to 40%. Integrates with existing CRM ticketing systems.

40%

Dispatch Reduction

< 5 min

Avg. Diagnosis

Industrial Equipment Troubleshooting

Enable remote technicians to diagnose machinery faults via live feed. Combines computer vision for part identification and gauge reading with NLP to interpret operator descriptions and procedural manuals. Critical for maintaining uptime in manufacturing and energy.

60%

Faster MTTR

24/7

Expert Support

Smart Home & IoT Device Setup

Provide step-by-step visual guidance for installing smart thermostats, security cameras, and home automation hubs. AI verifies physical placement, network connectivity, and device registration status, cutting support call duration and improving customer satisfaction scores (CSAT).

50%

Call Time Reduction

99%

Accuracy

Automotive Remote Diagnostics

Allow customers to show dashboard warning lights, unusual sounds, or exterior damage via smartphone. Our multimodal system cross-references video/audio with vehicle make/model and service history to triage issues, schedule precise repairs, and verify warranty coverage.

35%

Fewer Misdiagnoses

Real-time

Parts Verification

Healthcare Device Patient Support

Assist patients with at-home medical devices like CPAP machines, glucose monitors, or infusion pumps. Ensures correct usage and setup through compliant, secure video analysis, improving therapy adherence and reducing readmission risks. Built with HIPAA-compliant data pipelines.

HIPAA

Compliant

Secure

Video Processing

Retail & POS Technical Support

Rapidly diagnose issues with point-of-sale systems, kiosks, or digital signage. AI analyzes error screens, peripheral connections, and receipt printer behavior to provide store staff with exact troubleshooting steps, minimizing downtime during peak hours.

< 2 min

Issue Resolution

95%

First-Contact Fix

LIVE VIDEO DIAGNOSTIC AI

Our Development Methodology

A structured, iterative process to deliver production-ready diagnostic AI systems that reduce on-site dispatches.

We deliver a functional MVP in 2-4 weeks, focusing on a core diagnostic workflow to validate accuracy and latency.

Our methodology is built on three iterative phases designed for rapid validation and enterprise-grade scaling:

Phase 1: Foundation & MVP
- Rapid multimodal pipeline assembly integrating OpenCV/MediaPipe for vision and a fine-tuned Whisper/Gemini model for NLP.
- Core diagnostic validation on a single, high-value use case (e.g., "router LED status check") to prove >95% accuracy.
- Deployment of a secure, low-latency prototype for live agent co-pilot testing.
Phase 2: Scaling & Optimization
- Latency reduction to sub-500ms for real-time guidance via model quantization and edge-optimized inference.
- Expansion of the visual diagnostic library (e.g., cable connections, device screens) and integration with your CRM/ticketing system.
- Implementation of continuous learning pipelines to improve from anonymized session data.
Phase 3: Production & Autonomy
- Full system integration with live agent workflows and backend knowledge bases via our Multimodal AI Data Pipelines expertise.
- Deployment of autonomous resolution bots for tier-1 issues, with seamless human handoff protocols.
- Establishment of 99.9% uptime SLAs, comprehensive logging, and a governance dashboard for performance monitoring.

Enabling Efficiency, Speed & Accuracy

Intelligent Analysis, Decision & Execution

We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.

Talk to Us

Search across company data

Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.

Useful when people spend too long searching or get different answers from different systems.

Enterprise searchRAGPermissions

Automate internal workflows

Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.

Useful when repetitive work moves across multiple tools and teams.

AI agentsWorkflow automationGovernance

Add AI to products and internal tools

Build assistants, guided actions, or decision support into the software your team or customers already use.

Useful when AI needs to be part of the product, not a separate tool.

AI integrationDecision supportModel routing

Live Video Diagnostic AI

Frequently Asked Questions

Get clear answers on how we build and deploy real-time AI systems that analyze live video for technical support and diagnostics.

From initial scoping to production deployment, a typical project takes 6-10 weeks. This includes 2 weeks for data pipeline setup and model selection, 3-4 weeks for core development and integration, and 2 weeks for testing and optimization. For complex integrations with legacy ticketing systems or custom hardware, timelines may extend to 12-14 weeks. We provide a detailed project plan with weekly milestones from day one.

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.

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How We Work

Custom AI workflows for your Business

One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.