Embed an agent that accelerates your workflow and scales alongside your structured data—instead of migrating between traditional BI tools chasing the latest AI feature.
Gathers answers across existing dashboards and data sources.
Leverages historical data to create accurate forecasts.
Recommends the best next step based on your derived insights.
Takes action, such as seamlessly exporting insights to tools like PowerPoint, Excel, and more.
Numbers Station isn’t another tool to add to your data stack. Easily embed Numbers Station into your data ecosystem via APIs—or white-label it for your native platform—to deliver seamless, AI-driven analytics at scale.
Easily integrate new tools and changes with agents that dynamically adjust to your evolving data stack.
Numbers Station is at the cutting edge of enterprise AI for structured data. We are impressed by Numbers Station's trusted and engaging platform. It continuously learns as we use it, enabling our data teams to discover and verify hypotheses for driving impactful business outcomes.
Commericial Real Estate
JLL's global real estate clients had unique analytics needs, but existing BI tools were inflexible and despite being “self-service”, required extensive manual work from data teams to deliver custom dashboards. Without the ability for real-time data exploration, clients were stuck waiting up to 6 weeks to receive a new dashboard, which often becomes stale by the time of receipt.
Numbers Station’s data intelligence platform—white-labeled as JLL’s—unified JLL’s analytics infrastructure, creating a single source of truth that adapts to each of their client’s unique needs. This new approach gives clients instant, self-service access to real-time property and market insights—without requiring technical skills or data team involvement—and cuts delivery from six weeks to 60 seconds.
We’ve been impressed with Numbers Station’s power of conversational analytics and its ability to generate complex data queries from natural language – it allows our business users to gain insights without having to put SQL development between user and data.
Startup Insurance
This insurance company's Growth, Underwriting, and Finance teams all relied on a small, overstretched data team for daily analytics. As demands grew, creating new reports and dashboards took longer, ultimately delaying critical decisions across departments.
Numbers Station's analytics agents intuitively surface existing dashboards and dynamically create new ones from warehouse data when needed. Vouch users can bypass the data team and access real-time insights, accelerating business decisions.
We set out to revolutionize how brokers access and use data. With AI and advanced analytics reshaping our industry, embedding Numbers Station’s capabilities into our platform has delivered smarter, more competitive solutions. Unifying data sources into one intuitive system has allowed brokers to quickly identify areas of improvement in their business and act with confidence.
Trucking Dispatch and Fleet Management
A top-tier construction logistics broker struggled to coordinate their short-haul truck fleets effectively due to outdated, manual processes, and data silos. Without real-time analytics and modern tools, brokers couldn't access timely insights or scale their operations to meet growing demand.
Using Numbers Station, this constructions technology broker has gained a competitive advantage within its traditional market. By consolidating their data sources and performing queries via natural language, brokers can explore their data independently and eliminate manual bottlenecks to timely insights.
By embedding Numbers Station into our platform, we’ve unlocked capabilities we couldn’t achieve on our own, like dynamic charting and advanced SQL queries over critical datasets. This partnership has enabled us to scale faster, serve our customers better, and position us as a leader in financial analytics for NetSuite users.
Finance
This finance company has a customer-facing platform that needed the ability to apply integrated AI capabilities over structured data—and other analytics solutions they’ve tested weren’t ready for production. Holistically analyzing unstructured and structured data was a fragmented process, and building their own AI-powered solution for structured data was too complex and time-consuming.
Looking to fill the gap in their product in the fastest and most cost-efficient way, they embedded Numbers Station directly into their customer-facing financial tool. Via composable APIs, their newly-formed fleet of analytics agents has streamlined their customer’s structured data workflows right within their familiar NetSuite and Salesforce environments.
“With this service, virtually any user in an enterprise can analyze their analytics data using Numbers Station’s chat interface.”