We invented a unified data layer that powers everything. ERP, CRM, expense management, projects, analytics—all built on it. All unified. All ready.
Most companies run on a fragmented stack: separate tools for data, ERP, CRM, and analytics. Each tool is its own island — the “teenage years” of data integration that Halevy and colleagues catalogued back in 2006[104], still the default in 2025.
Your CRM doesn't talk to your ERP. Your analytics tool pulls stale data. Nothing syncs in real-time.
Spend months building integrations. Pay for middleware. Hire developers to keep everything connected.
Can't get a complete view of your business. Reports are outdated. Decisions are made on incomplete data.
The Single Data Backbone (SDB) is the foundation. All apps read and write to the same data layer — a peer of the lakehouse architecture[103] that unified analytics platforms a decade ago, now extended to business applications.
Single Source of Truth
All data lives in one place. No duplicates, no sync issues.
Real-Time Everything
Changes in one app instantly reflect everywhere. No delays.
One API
Build custom apps or integrate with existing tools through a single API.
We've built world-class business apps on our own platform. They're included, and they're just the beginning.
Your platform, not just ours. Create custom micro-apps on the same data backbone.
Use our SDK and API to build custom apps that read and write to the same data layer. No integration needed.
Book a demo to see how the Single Data Backbone can transform your business operations.
Claims about data silos and integration cost are anchored to the data-architecture literature. Full bibliography on the /research hub.
Inmon, W. H. (1992). Building the Data Warehouse. New York: John Wiley & Sons.
Origin of the corporate data-warehouse concept and the case for a single subject-oriented integrated data store.
Read sourceArmbrust, M., Ghodsi, A., Xin, R., & Zaharia, M. (2021). Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics. In Proceedings of the 11th Conference on Innovative Data Systems Research (CIDR '21).
The Databricks "lakehouse" paper — the architectural argument for unifying warehouse and lake into one platform that supports both analytics and applications.
Read sourceHalevy, A., Rajaraman, A., & Ordille, J. (2006). Data integration: The teenage years. In Proceedings of the 32nd VLDB Conference, 9–16.
Survey of why enterprise data integration is structurally hard and why "every new application means another integration project."
Read sourceSix native business apps split between Strategy (Metric Tree, Business Intelligence, Growth Engine) and Operations (Project Management, Financial Ops, Sales Operations) — all on the Single Data Backbone.
Complete financial operations: GL, AP/AR, financial reporting, multi-entity, multi-currency.
Customer relationships, sales pipeline, and revenue recognition on the Single Data Backbone.
Project management with Shape Up methodology, resource tracking, and project financials wired directly to ERP.
Submit expenses by text or photo. AI extracts, categorizes, and policy-checks every entry in seconds.
What if your data platform came with native business apps? Weaver collapses Databricks + Salesforce + ERP + integration plumbing into one platform on a single real-time data backbone.
Keep the QuickBooks ledger your accountant loves. Add CRM, projects, inventory, BI, and AI agents on one data backbone.