Trace
Trace is an automated KPI analysis platform that helps teams see exactly why business metrics move without chasing dashboards or waiting days for answers. It uses metric trees to connect KPIs with their underlying drivers in a shared, computable model of performance, making analysis repeatable, explainable, and suitable for reliable AI-powered insights. Trace decomposes performance, attributes changes, ranks the most important drivers, compares results with plan, detects anomalies, and scans segments so teams can move from a question to a clear explanation in minutes. Unlike dashboards that only show what happened or AI copilots that still depend on users to direct the investigation, Trace encodes analytical skills that allow its AI agent to perform the analyst workflow autonomously. Teams can begin with one or two critical KPIs, use editable templates, and connect the platform to their warehouse without migrating or restructuring data.
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Reef
Super excited to introduce Reef, a tool we built to make data analysis not just easier—but also more interactive and insightful.
What is Reef?
It’s an AI-powered data analyst & storyteller that helps you clean messy data, analyze trends, create visualizations, and now… explain your insights through audio and text!
Here’s what makes Reef special:
✅ No more manual errors—Reef ensures accuracy by instantly analyzing your spreadsheet.
📊 No formula mistakes—Auto-generated charts & tables mean you don’t have to worry about incorrect calculations.
🎙️ No misinterpretation—AI-powered narration explains charts & tables in plain English, reducing the risk of misunderstanding data.
🗣️ No missing insights—Audio conversation allows you to ask follow-up questions and uncover hidden trends effortlessly.
📂 No compatibility issues—Reef supports Excel, CSV, and JSON, so you won’t struggle with file formats.
🎨 No scattered data—Reef Board keeps everything organized.
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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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Datastory
Datastory is an AI analytics and reporting platform that connects tools like GA4, Google Ads, Shopify, Search Console, Facebook Ads, Instagram, and TikTok, then uses GPT‑4 to turn that data into clear, daily insights. It automatically analyzes performance, detects trends and anomalies, and sends plain‑language summaries and alerts into WhatsApp, Slack, email, and web so teams can see what changed, why it changed, and what to do next without building dashboards or manual reports.
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