Dubsof provides infrastructure that automates the transition of companies to AI-native operations by ingesting all existing business systems into a single graph database. The platform automatically generates the software and workflows needed to run on top of this unified data source, enabling both people and AI to act on live, current information. This eliminates the manual consulting work traditionally required to integrate disparate systems and maintain AI context.
Funding
Funding not disclosed
Founders
Product
Problem
Companies run on fragmented systems, each holding isolated pieces of business data, with critical work happening in the gaps between them. Integrations, data warehouses, and dashboards only produce partial, delayed, read-only copies, which prevents AI from acting across the entire business. The bottleneck for useful AI is not the model itself, but the disconnected state of the underlying business infrastructure.
Solution
Dubsof builds infrastructure that automates the transition of any company to a fully AI-native state. The platform ingests all existing systems and data formats into a single graph database, automatically mapping how each piece of information connects to the rest. It then generates the software and workflows needed to operate on top of this unified graph, allowing applications and AI to act on live data in real time. This creates one source of truth that is kept current automatically, so people and AI work from the same connected picture of the business. The process that previously required years of consulting now happens automatically, and the company becomes more capable over time rather than degrading with disconnected tools.
Target Audience
Primary customers are enterprises and companies seeking to implement AI across their operations but are blocked by fragmented legacy systems and the high cost of manual integration consulting.
Features
- Automatic ingestion of all existing systems and formats into a single connected graph database
- Automated generation of software and workflows needed to run on top of the unified data graph
- Live, real-time data access for both applications and AI, eliminating the need for delayed copies
- Self-maintaining system that keeps the source of truth current without manual intervention
- Built-in centralized maintenance and security management for the entire AI-native infrastructure