Plavno delivers an AI-driven incident layer that validates alarms, enriches context, and orchestrates response via voice/chat agents—integrating CCTV, sensors, VMS/PSIM, and dispatch. The result: radically less noise, faster action, and audit‑ready reports.
False Alarms Reduced
Vision + sensor fusion (after calibration)
Faster Dispatch
One-click/automated outreach
Alarm → Action
Typical latency under normal load
Audit Prep Time Saved
Immutable timeline + auto-reports
Ready-made Solution
Layer AI over your existing CCTV, sensors, and dispatch to auto-validate alerts, enrich context, and orchestrate response — with a verifiable audit trail
Sub‑second feel • RTF < 1 across languages
Modular ASR → NMT → TTS (or speech‑to‑speech)
Scales from 1 speaker to thousands of concurrent listeners
Multi‑region WebRTC/WebSocket streaming built for hostile networks
Designed for quick implementation with REST/gRPC/WebRTC SDKs
Traditional security operations struggle with:
Signal vs. Noise: Up to 98% of alarms are false positives
Fragmented Tools: Multiple systems with no unified context
Manual Verification: Time-consuming processes delay response
Inconsistent SOPs: Human error in high-pressure situations
False Alarms & Duplicates: Up to 98% noise overwhelming operators
Latency to Action: Minutes lost in decision paralysis
Fragmented Tooling: Siloed systems lacking unified context
Slow Verification: Manual processes delay critical response
Limited CoLimited Context: Missing situational awareness data
Audit Gaps: Incomplete incident documentation
Signal Quality Variance: Unreliable sensor and camera feeds
Scale & Privacy: Complex compliance across sites
Transforming communication
Modern security demands more than manual triage. AI Alarm & Incident Agents add an intelligent layer on top of your existing CCTV, sensors, and dispatch stack to validate, enrich, and orchestrate response—consistently, fast, and with a provable audit trail.
Validate — cut the noise: Vision + sensor fusion with ML scoring to suppress false alarms
Policy engine: OPA / OpenFGA applies site-specific rules and escalation paths
Enrich — instant context: Auto-attach evidence (clips, snapshots, telemetry) and map / floorplan location
Operator copilot (RAG): Surfaces the right SOP steps with citations
Orchestrate — action in seconds: One-click or fully automated—open ticket, notify stakeholders, call responders (SIP/WebRTC), send SMS/WhatsApp
Voice / chat agents: Handle outreach, follow call scripts, capture structured outcomes
Assure & learn: Live timeline, evidence tray, and immutable activity log for audits
Start Now: Alarms stream in; create / enter an incident room from link / QR
Validate: AI triage proposes a decision; operator confirms/overrides with one tap
Enrich: System attaches video snapshots / clips, telemetry, and location automatically
Orchestrate: Trigger playbooks — open ticket, notify teams, call dispatchers / responders, send SMS / WhatsApp
Close & Learn: Generate summary and structured report; provide feedback to refine policies / models
Audit: Review timeline, evidence tray, and immutable activity log; export artifacts
Live experience: Alarm → Action latency target <3 – 5s under normal load
Accuracy under pressure: False positives ↓ 70–90% after calibration (site & dataset dependent)
Faster operations: Time-to-Dispatch ↓ 30 – 60% with voice/dispatch automation
Operational simplicity: Plug-in SDKs and policy engine; deploy without backend surgery
Fleet scale: Multi-site, multi-region; thousands of alarms/hour with resilient backpressure
Audit-ready assets: Clean evidence, summaries, and immutable logs delivered automatically
Architecture Overview
Edge Ingest (RTSP / ONVIF, MQTT)
EEvent Bus & Streams (Kafka / Redpanda, Flink)
EPerception (YOLOv8 / RT-DETR, ByteTrack, Kalman)
Validation & Policy (LightGBM + OPA / OpenFGA)RAG Assistant (LangGraph / LlamaIndex, Vector DB: Qdrant / pgvector)
Orchestrator (FastAPI)
Dispatch (SIP/WebRTC, SMS)
Command & Control (React)
Challenges
Vision + sensor fusion with per-site tuning suppressed 70 – 90% noise after calibration
Spatiotemporal correlation stitches signals across cameras / sensors into a single incident thread
RAG-grounded SOP copilot retrieves the exact step with citations to your playbooks and policies
One-tap (or automated) dispatch via SIP / WebRTC calls, SMS / WhatsApp, and ticketing — keeping alarm → action < 3 – 5s under normal load
Value
Horizontal scaling with consistent performance.
Original timestamps preserved; secure hashing for clips/snapshots; chain-of-custody maintained in the evidence tray
Site-calibrated validator with SLO-driven thresholds; per-site ROC tuning (typical target AUC ≥ 0.90)
SOP retrieval Precision@Top‑3 ≥ 0.85; citations and doc versions pinned to the incident
Wideband SIP / WebRTC, adaptive jitter buffers; automatic call transcription and summary attached to the timeline
Benchmarks
Enterprise-grade infrastructure designed to handle massive concurrent loads while maintaining consistent sub-second response times
Kafka / Redpanda with backpressure; KEDA scales workers on lag; burst absorption during storms
GPU / CPU pools per stage (vision / ASR / RAG) via HPA / VPA; traffic-aware routing
Multi-region pops with failover; circuit breakers and retries at API boundaries
Alarm → action < 3–5s target; validator availability ≥ 99.9%; queue durability ≥ 11 nines (Kafka replication)
Alarm → action (P50 target)
Peak alarm ingest per region
Validator decision P50 (score + policy)
Data Protection
Enterprise-grade security with role-based access
TLS / mTLS; encryption at rest for blobs, timeseries, configs; KMS-managed keys
OpenFGA relation-based RBAC / ABAC; least‑privilege service accounts; per‑tenant isolation
GDPR‑aligned workflows; HIPAA / BAA available on request; SOC 2‑aligned processes
Innovative Experience
Real‑world deployments and high‑impact scenarios
High-signal environments, strict SOP adherence
Access + video + incident automation
Yards, warehouses, HAZMAT, safety events
Multi-site estates, duplicate / false alarm suppression
24/7 ops, multilingual voice workflows
Visitor policies, protected areas, rapid response
Large CCTV estates, evidence bundles
Branches/ATMs, audit and compliance trails
Citywide cameras/sensors, policy-driven actions
Multi-building portfolios, central monitoring
Delivery Crew
High-performing developers for growing companies
Renata Sarvary
Sales Manager
See how AI Incident Agents validate alerts, orchestrate dispatch, and leave an audit-ready trail in <5s
Talk to an ExpertCompetitive Ability
Production metrics that demonstrate capability, scale, and reliability.
Validate
Fuse vision / sensors, score, apply policy → noise ↓ 70 – 90% (post‑calibration)
Enrich
Attach clips, telemetry, map / floorplan, prior incidents → decision time ↓
Orchestrate
Auto / open ticket, notify, voice dispatch (SIP / WebRTC), SMS / WhatsApp → TTD ↓ 30 – 60%
Assure & Learn
Timeline, immutable log, auto‑summary / report; operator feedback updates thresholds & SOPs
High‑volume ingest: 10k+ alarms/min per region with Kafka backpressure
Concurrent operations: 500+ incident rooms/cluster; multi‑site, multi‑tenant
Latency targets: Alarm → action <3 – 5s P50; <8 – 10s P95 (site‑dependent)
Resilience: Regional failover RTO <60s; circuit breakers & auto‑recover
Streaming validator: vision + sensor fusion; LightGBM scoring; site‑tuned thresholds
Policy engine: OPA / OpenFGA applies escalation and access rules
RAG precision: SOP retrieval Precision@Top‑3 ≥ 0.85 with citations/versioning
Correlation: spatiotemporal stitching across cameras, sensors, and access logs
Voice fidelity: SIP / WebRTC wideband; STT / TTS; call summaries attached to timeline
Instant & scheduled playbooks: one‑tap or automated actions based on policy
Dispatch toolkit: open ticket (ServiceNow / Jira), call responders, SMS / WhatsApp, email, push
Evidence handling: auto‑attach clips / snapshots / telemetry; configurable retention policies.
Admin console: roles, SOP editor, site policies; audit‑ready reports export (PDF / JSON).
Integrations: adapters for Milestone / Genetec / NxWitness, ACS, panels, IdP (Okta / Azure AD)
Our AI-driven approach delivers measurable improvements across all critical security operations metrics
Reduction in false alarms
Faster response times
AI decision latency
AI assistant precision
System availability
Tools We Used
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint
Frequently Asked Questions
Find answers to your common concerns
Up to 50 in regular rooms; in Conference Mode, multiple speakers with thousands of listeners.
Session artifacts can be stored in AWS S3 when enabled; retention is configurable.
Sub‑second perceived delay in typical networks, thanks to WebRTC and streaming STT/NMT/TTS.
TLS, token‑based auth, RBAC, Cloudflare WAF/CDN, and isolated rooms; access is scoped by roles.
Use Conference Mode to assign speaker roles and broadcast to thousands with live translation.
Web app (React) and mobile app (React Native, details TBD).
Translated audio (TTS) and on‑screen captions; listeners can switch languages.
About Plavno
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Senior engineers + proven AI components to accelerate time-to-value.
From MVPs to enterprise platforms at global scale.
From extension UX to GPU pipelines and global scale.
Testimonials
“They really understand what we need. They’re very professional.”
Sergio Artimenia
Commercial Director, RNDpoint
“We appreciated the impactful contributions of Plavno.”
Thien Duy Tran
Product Manager, T-Rize Group
“We are very satisfied with their excellent work”
Michael Bychenok
CEO, MediaCube
“They have a clear understanding of what the end user needs.”
Helen Lonskaya
Head of Growth, Codabrasoft LLC
“The app was delivered on time without any serious issues.”
Mitya Smusin
Founder, 24hour.dev
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