Turn data into 100% value with AI
We convert raw streams from people-counting devices into outcomes via root-cause analysis, proactive alerts, and predictive recommendations.
V2 will ingest multi-source data (XML/JSON/HTTP, webhooks) and contextual signals (e.g., weather) to deliver richer insights.
What, Why, and What’s Next
Root-Cause Analysis
Combines multiple streams to surface the impacted store/hour/segment and likely root causes on one screen.
Anomaly Alerts
Evaluates vendor-agnostic sensor data together with contextual signals (weather/events) to produce actionable alerts.
Forecast & Recommend
Incorporates weather and seasonality into forecasts to recommend staffing/layout and track outcomes in the dashboard.
Upcoming Capabilities
- Multi-source ingestion: support for XML/JSON/HTTP, webhooks and queue-based integrations.
- Vendor-agnostic architecture: compatibility with leading manufacturers; standards-first approach.
- Context signals: weather, promotions and calendar effects fed into the models.
Live Impact (Beta)
Data processed
Anomaly alerts
Rec accuracy
Roadmap
Early Access Form
We convert raw streams from people-counting devices into outcomes via root-cause analysis, proactive alerts, and predictive recommendations.
FAQ
Will my current license be affected?
No. V2 ships as add-on modules.
Do you store camera footage?
No raw images stored; anonymized counts/heat data only.
Do I need extra hardware?
Works with compatible sensors; next-gen devices recommended.
How long does implementation take?
MVP rollout takes 3-6 weeks depending on infrastructure.
Which camera/sensor vendors will you support?
We follow a standards-first, vendor-agnostic approach. V2 targets compatibility with leading vendors, with selected integrations planned for beta.
Note: Features are under active development and subject to change.