RemoteAware GenAI Analytics Platform
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.
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Userjam
Userjam transforms raw product analytics into plain-English updates by continuously monitoring user activity and sending digestible insights directly to the collaboration tools your team already uses, like Slack or email, rather than relying on dashboards. You don’t need to build new tracking or dashboards; simply connect your existing analytics event data from platforms such as Mixpanel, Amplitude, PostHog, or Segment, and Userjam’s AI will turn what your users are doing into stories, watchlists, and alerts. It surfaces “today’s top users”, AI-generated daily reports summarizing trends, high-value account activity, and real-time Slack alerts for VIP users or unexpected behaviour. The platform is built for speed and simplicity; you can be set up in about 15 minutes and begin seeing meaningful signals immediately. By eliminating hours of digging through charts and PDFs, Userjam helps every team member, from product to support to design, understand user behaviour in plain language.
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Pulse
Pulse is an always-on AI business intelligence analyst that turns messy, scattered data into clear, interactive dashboards and insights simply by chatting in plain language. It connects seamlessly to CSV, Excel, Google Sheets, Google Analytics, Shopify, API endpoints, and, soon, databases, then automatically ingests, cleans, structures, and analyzes your data without manual prep. In seconds, you can build custom dashboards with charts, tables, and KPIs; ask follow-up questions about trends, anomalies, and performance; and set filters to drill into specifics. Visuals refresh in real time as underlying data changes, while built-in anomaly detection flags unexpected shifts, and automated insights help you stay ahead of evolving metrics. All of this lives in a single, queryable workspace, no more juggling multiple tools or cleaning spreadsheets, backed by enterprise-grade encryption, granular access controls, and compliance with GDPR and CCPA.
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Querri
Querri is an AI-powered data analytics platform designed to make data collaboration effortless by enabling users to connect, clean, analyze, and visualize data all in one place. It features a natural-language interface that lets you ask questions in plain English and instantly get visual answers. It also includes automated data cleansing and ingestion tools that handle messy or disparate files (CSV, Excel, JSON, Parquet) and cloud-storage sources (Google Drive, OneDrive, Dropbox), joining and reformatting them so you can start analyzing without delay. A drag-and-drop dashboard builder enables the quick creation of shareable reports, while built-in integrations cover spreadsheets and business apps (Excel, Smartsheet, QuickBooks, Airtable, among others). Querri offers white-label capabilities so you can embed or brand the analytics engine within your own product.
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