DreamFactory eliminates months of custom API development and gives IT teams a standardized, secure way to connect AI to any database, whether legacy or modern.
Organizations running Oracle, AS/400, IBM DB2, or other legacy databases can't connect them to modern AI tools. Rearchitecting these systems is too expensive and risky. The data stays locked away.
AI enabled on decades-old legacy systems in days, not months. Zero changes to existing infrastructure. Vermont DOT has been running this pattern for 8+ years.
Real result: Vermont Department of Transportation connected a 1970s IBM S370 mainframe to modern applications through DreamFactory. The system has been running reliably for 8+ years.
After years of growth and acquisitions, companies end up with data trapped in dozens of disconnected systems (different HR platforms, ERPs, CRMs). Getting a unified view requires custom integrations that take months to build.
GetUnifiedView calling stored procedures across multiple databases and combining results into a single normalized dataset
{master}_create_records to populate a unified reporting table with cross-system reconciled data
One platform, one set of APIs, one security model across every system. Bank of New York unified 22 different HR systems acquired through mergers using this approach.
Real result: Bank of New York used DreamFactory to unify 22 different HR systems acquired through bank mergers into a single standardized API layer.
Companies with multiple divisions or subsidiaries build APIs differently in each unit. Different patterns, different security models, different documentation. Supporting and securing this sprawl is unsustainable.
Your SQL Server API looks the same as your PostgreSQL API, which looks the same as your Oracle API. One team deploys to many divisions. ExxonMobil saved $201,783 annually with this approach.
Real result: ExxonMobil saved $201,783 annually and achieved 348% ROI by replacing custom API development with DreamFactory's standardized API generation.