

Cumul.io, developer of a low-code business intelligence platform, has announced it raised $10.8 million in a Series A funding round.
The company’s BI platform focuses on embedded analytics for SaaS applications. Traditional BI tools use static data that is often dated by the time it is used, while embedded analytics tools provide near real-time data analysis and reporting. The Cumul.io platform has a low code, drag-and-drop interface with visual dashboards that allow product managers and customer success teams to build and access analytics workflows embedded directly within their applications.
Cumul.io says it serves over 240 companies around the globe, including Danish customer support platform Dixa and Santa Barbara-based ecommerce platform FastSpring.
Cumul.io has raised over $14 million to date. The company is headquartered in Leuven, Belgium, with offices in New York and Belgian city Genk. The Series A financing will be used to further augment Cumul.io’s global team of business specialists with a recruitment drive aimed at supporting growth in international markets beyond Europe, according to a statement. The company also plans to make improvements to its platform regarding increased analytical power, ease of use, and scalability.
The financial round was led by Hi Inov-Dentressangle, with returning participation from seed investors Axeleo Capital, LRM, and SmartFin.
Wolfgang Krause, a managing partner at Hi Inov-Dentressangle, said: “Businesses are accumulating more data than ever before, but the challenge is knowing what to do with it. Analytics transforms data into actionable insights but approaches to building analytics centered around traditional BI or home-grown solutions are resource-intensive and require specialist skills. Stripping away this complexity, Cumul.io’s user-friendly approach to embedding analytics in software platforms, web apps, or public websites is unseen in other solutions and is precisely where the B2B SaaS segment has been struggling.”
The global embedded analytics market is forecast to reach $104.71 billion by 2027, according to a Research and Markets report. Another recent report by Nucleus Research noted that this market has taken off as organizations look to empower internal departments with analytics embedded in applications already in use while differentiating their products and elevating the customer experience.
“In a world that is now almost entirely powered by technology, all businesses are becoming data-driven software companies. But in today’s highly competitive business environment, where cost and time efficiency are critical, the data driving these companies needs to be presented in a simple and understandable manner,” explained Karel Callens, CEO and co-founder, Cumul.io. “Our low-code building block approach to analytics offers a simple, yet powerful way for any business user, regardless of technical skillset, to create highly engaging customer-facing dashboards. Cumul.io has been built from the ground up to redefine what confident decision-making looks like, and we believe our platform is ready for mass adoption.”
Related Items:
The Embedded Future of Analytics and AI
Why Embedded Analytics Are the Foundation of a Successful Application
Analytics Increasingly Seen Embedded in Apps
March 26, 2025
- Quest Adds GenAI to Toad to Bridge the Skills Gap in Modern Database Management
- SymphonyAI Expands Industrial AI to the Edge with Microsoft Azure IoT Operations
- New Relic Report Reveals Media and Entertainment Sector Looks to Observability to Drive Adoption of AI
- Databricks and Anthropic Sign Deal to Bring Claude Models to Data Intelligence Platform
- Red Hat Boosts Enterprise AI Across the Hybrid Cloud with Red Hat AI
March 25, 2025
- Cognizant Advances Industry AI with NVIDIA-Powered Agents, Digital Twins, and LLMs
- Grafana Labs Unveils 2025 Observability Survey Findings and Open Source Updates at KubeCon Europe
- Algolia Boosts Browse with AI-Powered Collections
- AWS Expands Amazon Q in QuickSight with New AI Scenarios Capability
- Komprise Automates Complex Unstructured Data Migrations
- PEAK:AIO Chosen by Scan to Support Next-Gen GPUaaS Platform
- Snowflake Ventures Deepens Investment in DataOps.live to Advance Data Engineering Automation
- KX Emerges as Standalone Software Company to Make Temporal AI a Commercial Reality
- PAC Storage Unveils 5000 Series Data Storage Solutions
March 24, 2025
- Tessell Introduces Fully Managed Database Service on Google Cloud
- Datavault AI Joins IBM Partner Plus to Transform AI-Driven Data Monetization
- Cerabyte Unveils Immutable Data Storage for Government Customers
- Provenir Highlights AI-Driven Risk Decisioning in Datos Insights Report
- Algolia Showcases Powerful AI-Driven Search at ShopTalk Spring 2025
- StarTree Awarded 2025 Confluent Data Flow ISV Partner of the Year – APAC
- PayPal Feeds the DL Beast with Huge Vault of Fraud Data
- OpenTelemetry Is Too Complicated, VictoriaMetrics Says
- When Will Large Vision Models Have Their ChatGPT Moment?
- The Future of AI Agents is Event-Driven
- Accelerating Agentic AI Productivity with Enterprise Frameworks
- Your Next Big Job in Tech: AI Engineer
- Data Warehousing for the (AI) Win
- Nvidia Touts Next Generation GPU Superchip and New Photonic Switches
- Krishna Subramanian, Komprise Co-Founder, Stops By the Big Data Debrief
- Alation Aims to Automate Data Management Drudgery with AI
- More Features…
- IBM to Buy DataStax for Database, GenAI Capabilities
- Clickhouse Acquires HyperDX To Advance Open-Source Observability
- NVIDIA GTC 2025: What to Expect From the Ultimate AI Event?
- Excessive Cloud Spending In the Spotlight
- EDB Says It Tops Oracle, Other Databases in Benchmarks
- Databricks Unveils LakeFlow: A Unified and Intelligent Tool for Data Engineering
- Google Launches Data Science Agent for Colab
- Meet MATA, an AI Research Assistant for Scientific Data
- CDOAs Are Struggling To Measure Data, Analytics, And AI Impact: Gartner Report
- Big Data Heads to the Moon
- More News In Brief…
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- Snowflake Ventures Invests in Anomalo for Advanced Data Quality Monitoring in the AI Data Cloud
- NVIDIA Unveils AI Data Platform for Accelerated AI Query Workloads in Enterprise Storage
- Accenture Invests in OPAQUE to Advance Confidential AI and Data Solutions
- Qlik Study: 94% of Businesses Boost AI Investment, But Only 21% Have Fully Operationalized It
- Seagate Unveils IronWolf Pro 24TB Hard Drive for SMBs and Enterprises
- Gartner Identifies Top Trends in Data and Analytics for 2025
- Qlik Survey Finds AI at Risk as Poor Data Quality Undermines Investments
- Palantir and Databricks Announce Strategic Product Partnership to Deliver Secure and Efficient AI to Customers
- Cisco Expands Partnership with NVIDIA to Accelerate Enterprise AI Adoption
- More This Just In…