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Purple Transform

Purple Transform utilizes computer vision and IoT sensors to gather and analyze data, providing actionable insights that enhance decision-making for organizations overwhelmed by information. Their SiYtE platform visualizes trends and alerts stakeholders in near real-time, enabling proactive management of high-risk incidents and operational inefficiencies.

Oxford, United KingdomFounded 2021431K+ followers
Updated 20 months ago

Funding

$5.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

ME
Funding rounds are not available yet.

Founders

Product

Problem

Organizations are increasingly overwhelmed by the volume of data generated from various sources, struggling to process it quickly enough to gain actionable insights. This makes it difficult to proactively manage high-risk incidents and operational inefficiencies.

Solution

Purple Transform offers the SiYtE platform, which leverages computer vision, IoT sensors, and other data sources to gather and analyze data, delivering actionable intelligence. The platform visualizes trends, anomalies, and patterns in near real-time, alerting stakeholders to potential issues. By extracting relevant data and presenting it in an accessible format, SiYtE enables businesses to make more informed decisions and improve overall performance. The platform helps businesses turn data into actionable insights, supporting strategic and operational decision-making.

Target Audience

The primary customers are organizations across various industries that are struggling to manage and extract value from large volumes of data, particularly those seeking to improve situational awareness and operational efficiency.

Features

  • Data aggregation from computer vision, IoT sensors, and other sources.
  • Real-time visualization of trends, anomalies, and patterns.
  • Customizable dashboards and alerts for key stakeholders.
  • Trespass detection with false positive elimination.
  • Crowd and queue analysis.
  • People and vehicle analysis.
  • Automatic number plate recognition (ANPR).
  • Face mask and demographic analysis.
  • Vehicle dwell time tracking.
  • Integration of IoT and financial insights.
This profile is AI-generated and may contain inaccuracies.