Exponam

Our CEO, Herman Weintraub, on why a category of analytical work keeps returning to Excel — and the unsolved problem underneath it: getting current, governed data into the spreadsheet without stale exports and uncontrolled copies.

A note from our CTO, Roger Dunn. Regulated firms live by one rule: data does not leave the perimeter, external AI services included. Every cloud platform's natural-language assistant is off the table, however good it is. The part most people miss: to turn a plain-English question into SQL, the model needs the schema and the question. Never a single row of your data. So the only question is where the model runs. Run it locally, and nothing leaves – and the per-token bill pushing firms to ration AI access goes with it. That is how we built Exponam Analyst Intelligence: a private, local LLM option, no data routed through us. Compliance and cost, one architecture. #PrivateLLM #DataResidency #Excel #EnterpriseAI #RegulatedIndustries

An analyst opens Excel. Her revenue data is in Databricks, her customer dimension in Snowflake, her marketing attribution in Fabric. She has access to all three – and no single place to ask a question that spans them. The cloud platforms answer is federation. But the vendors themselves describe federation as a transitional state on the way to consolidating data. And their AI assistants – Genie, Cortex, Copilot – are not federated at all. A neutral layer above the clouds is the answer. One interface for all of them. Available only to a vendor that doesn't own one. That is the position Exponam Analyst Intelligence occupies. Read the full piece → https://lnkd.in/ea9Aj5uM #DataAnalytics #Excel #Databricks #Snowflake #MicrosoftFabric #EnterpriseAI #DataGovernance

Introducing 𝗘𝘅𝗽𝗼𝗻𝗮𝗺 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, the next evolution of 𝗘𝘅𝗽𝗼𝗻𝗮𝗺.𝗖𝗼𝗻𝗻𝗲𝗰𝘁, making all enterprise cloud data accessible with local-AI text-to-sql. What is new: • 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗾𝘂𝗲𝗿𝘆. Analysts ask questions in plain English and receive governed, reproducible results in their workbook. Models run locally or as bring-your-own — no data, no prompts, no tokens leave the enterprise perimeter. • 𝗙𝘂𝗹𝗹 𝗦𝗤𝗟 𝘀𝘂𝗽𝗽𝗼𝗿𝘁. Direct SQL via SQL endpoint, alongside the visual data builder and Delta Sharing paths users already know. • 𝗠𝘂𝗹𝘁𝗶-𝗰𝗹𝗼𝘂𝗱. Databricks in production today; Snowflake and Microsoft Fabric in active development. What has not changed: data never transits Exponam infrastructure, governance is enforced by the platform of record, and analysts work where they already work — in Excel. This is the evolution — the AI-powered layer on enterprise data, in Excel. https://www.exponam.com #DataAnalytics #Excel #Databricks #Snowflake #MicrosoftFabric #EnterpriseAI #DataGovernance

Most enterprises want every business user in their data… But the per-user cost of “interactive compute” adds up fast. Exponam.Connect changes the math. We bring governed Databricks data directly into Excel using Delta Sharing—an open protocol designed to share data securely across platforms. Why it matters: Traditional access patterns (direct query via SQL warehouses/clusters, BI layers, new business-user UIs like Databricks One) are powerful—but they typically consume compute for each interaction. (Databricks) With Delta Sharing + Excel, many “read & analyze” workflows can be served without standing up dedicated interactive compute per user, dramatically reducing DBU/concurrency pressure. The result: up to ~90% savings for business-user access If your organization’s fully-loaded Databricks access cost is ~$250/user/month (common in many enterprise rollups once you factor in concurrency + governance + support), shifting the long tail of Excel-centric consumers to Exponam.Connect can drive savings of up to ~90%—even after Exponam licensing and curated/“medallioned” share-ready tables The takeaway: Keep Databricks compute for the workloads that need it. Move broad, governed business-user consumption to compute-light sharing—right where most users already work: Excel. If you’re trying to scale adoption without scaling spend, let’s compare your current “cost per consumer” to a Delta Sharing + Excel model. https://lnkd.in/eMFVXW8z #Databricks #DeltaSharing #Excel #FinOps #Lakehouse #DataGovernance #Analytics #EnterpriseIT

Excel is becoming more than a spreadsheet. At Exponam, we’re building what’s next for teams that live in Excel but rely on Databricks as their data backbone. Coming soon in Exponam.Connect: - AI/BI experiences inside Excel, powered by Databricks data - Databricks One–style inquiry and insights, accessible directly from Excel The goal isn’t to move the business into new tools. It’s to bring governed data, intelligence, and inquiry to where the business already works. Same Databricks lakehouse. Same governance and security. A much broader surface area for insight. If Excel is still your company’s front line for decision-making, stay tuned. #Databricks #Excel #AIBI #Analytics #DataPlatforms #EnterpriseData #Exponam

Are you getting the full value out of your Databricks data? Most organizations invest heavily in Databricks — then limit access because every new user means more compute, more DBUs, and more cost. Exponam.Connect changes that. We let your entire enterprise access governed Databricks data directly in Excel — with: - No clusters - No SQL warehouses - No DBUs for consumption You publish curated, medallion-layer data via Delta Sharing. Business teams work in Excel, as they already do. Consumption stays predictable and cost-efficient. Think enterprise-scale data access — without enterprise-scale DBU bills.