Whaly
Whaly is an AI-powered data platform that aggregates dispersed business data and delivers real-time, actionable insights and alerts. The platform combines self-service business intelligence with a semantic layer, headless BI for embedding dashboards into existing tools like CRM and Slack, and a team of data experts to guide deployment. It serves field sales, IT, and sales excellence teams in consumer packaged goods and retail industries, with customers including Danone, Tropicana, and Lactalis.
- Data & Analytics
- Enterprise Software
- Artificial Intelligence
- Sales Technology
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Organizations struggle to derive value from data scattered across disparate systems, often relying on manual processes and reactive decision-making. Most companies remain in early stages of data adoption because making relevant data accessible at key decision points is complex, and traditional BI tools require specialized skills that limit usage to a few analysts.
Solution
Whaly is an AI platform that aggregates and makes sense of dispersed data, handling the entire process from data ingestion to delivering real-time actionable insights and alerts. The platform offers AI solutions tailored to different roles and industries, including field sales, IT, and sales excellence teams, enabling proactive strategizing rather than reactive decision-making. Whaly combines its AI platform with a team of data experts who implement solutions and guide customers, ensuring the heavy lifting is automated while human expertise supports deployment. The platform includes self-service business intelligence with a semantic layer that standardizes metrics and definitions across the organization, plus headless capabilities that embed dashboards into existing tools like CRM, Slack, and mobile apps.
Target Audience
Primary customers are field sales teams, IT teams, and sales excellence organizations in consumer packaged goods and retail industries, including large enterprises such as Danone, Tropicana, and Lactalis.
Features
- Semantic layer that defines business terms, metrics, and dimensions once for standardized use across teams
- Materialization engine for performance acceleration in the customer's own cloud, plus a serving layer and edge acceleration cache memory up to 100x faster than RAM
- Headless BI that embeds dashboards and analyses into CRM, Slack, email, field sales apps, and mobile applications
- AI-powered data collection, app builder for custom applications on top of data, and copilot builder for training an assistant on company data
- Prescriptive guides and recipes that curate best practices for deploying data-driven processes at organizational, team, and individual levels