Pleom offers an agentic business intelligence platform that automatically discovers and catalogs data from over 1,000 native connectors using a secure caching layer, eliminating the need for raw data storage. The solution provides a no‑code workflow builder, AI‑powered natural‑language query engine, and pre‑trained predictive models to deliver real‑time visualizations, alerts, and one‑click actions for enterprise analysts.
Funding
$500K 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.
Founders
Product
Problem
Enterprises often struggle with siloed data across CRMs, warehouses, SaaS tools, and ad platforms, requiring manual ETL pipelines and specialized SQL expertise to generate timely insights. This fragmentation leads to delayed decision‑making, high operational overhead, and missed opportunities for predictive analytics.
Solution
Pleom delivers an agentic business intelligence platform that automatically discovers and catalogs data from over 1,000 native connectors without persisting raw data, using a secure caching layer. An AI‑driven “magic box” enables users to compose no‑code ETL workflows, build interactive visualizations, and deploy pre‑built machine‑learning models for forecasting, churn detection, and segmentation. Natural‑language Data Q&A translates plain‑English queries into instant, context‑aware answers, while continuous auto‑insights surface anomalies, risks, and growth opportunities as they occur. Results are presented through customizable dashboards and can trigger one‑click actions or alerts, allowing teams to act on insights without leaving the platform. Deployment is rapid—days instead of months—and supports both cloud SaaS and on‑premise installations with end‑to‑end encryption and SOC 2‑in‑progress compliance.
Target Audience
Primary users are data‑savvy analysts and decision‑makers in revenue operations, customer success, product analytics, marketing, finance, and supply chain functions within mid‑size to large enterprises seeking rapid, self‑service analytics without extensive engineering effort.
Features
- Unified data catalog with instant, cache‑only connections to CRMs, data warehouses, ad platforms, SaaS tools, DevOps, and data lakes (1000+ connectors)
- No‑code workflow builder that orchestrates data extraction, transformation, enrichment, and visualization using drag‑and‑drop components
- Built‑in predictive analytics library offering pre‑trained models for revenue forecasting, churn prediction, and customer segmentation, all deployable without code
- AI‑powered natural‑language query engine that converts plain English questions into SQL‑equivalent queries and returns contextual answers in real time
- Automatic insight engine that monitors data streams for anomalies, cost overruns, and growth signals, delivering configurable alerts and one‑click remediation actions
- Interactive dashboard suite with auto‑generated charts, filter generation, and export options, plus embeddable data apps for internal tools
- Enterprise‑grade security: end‑to‑end encryption, role‑based access control, SOC 2 certification in progress, and optional on‑premise deployment for full data sovereignty
- Open APIs and FHIR‑compatible connectors for seamless integration with existing BI tools, CRM systems, and workflow automation platforms