About Datifact
Datifact builds a platform called QubeAI that connects a company's existing systems, such as its ERP or CRM, with shared business definitions. On top of that connection, it adds applications and AI agents that use the same definitions for every task. The company delivers and maintains this platform through managed services, working alongside each client's own team rather than selling it as off-the-shelf software.
Datifact is based in Orange County, California, with a second location in Franklin, Tennessee. Jeff Kimbrough, the founder, is chief technology officer, and Jon Dykstra is head of strategy. The team also includes Billy Malone as vice president of client delivery and implementation, and Andrew Sagraves as a solutions engineer. Datifact started as an AI consulting practice before building its platform.
Funding Rounds (SEC Form D)
| First sale | Filed with SEC | Amount sold | Investors | Avg. check | Terms | Filing |
|---|---|---|---|---|---|---|
| Oct 6, 2026 | Nov 4, 2026 | $250,000of $420K target | 1 | $250K | Equity, Options, Securities on exerciseRule 506(b) | Form D ↗ |
| Jun 19, 2026 | Jul 24, 2026 | $618,000fully sold | 4 | $154K | EquityRule 506(b) | Form D ↗ |
| Total, two offerings | $868,000 | |||||
First sale is the date the first investor in the offering committed to invest. Companies must file Form D within 15 days of that date, so filing dates run later.
Why Investors Backed Datifact
Datifact is a technology company based in Orange County, California, that builds a platform called QubeAI for connecting business data, definitions, and workflows. It delivers the platform through managed services, working alongside each client's own team. The company began as an AI consulting practice before building this product. Datifact's view is that AI tools need more than access to data; they also need clear agreement on what that data means.
The problem it targets
Datifact's case is that most businesses already have plenty of data systems, but their applications and AI agents often lack a shared sense of what that data means. One team might treat an order as late only after a grace period, while another marks it late the moment a ship date passes. Without an agreed definition, Datifact argues, these differences stall decisions and produce conflicting reports. The company built its platform to supply that missing layer of shared business meaning.
What the product does
The product, called QubeAI, connects a client's existing systems, such as an ERP, CRM, or other operational software, without needing to replace them. On top of that connection, Datifact builds an ontology that defines customers, orders, and other business objects once, so every application and AI agent calculates metrics the same way. A context layer supplies the right information for each request, and an application layer lets staff review alerts and proposed actions before approving them. Datifact delivers and maintains the platform through managed services, working through three stages it calls plan, build, and run.
We wrote this summary from public statements by Datifact and its investors. It is not investment advice.
Leadership Team
Executive officers and directors listed on Datifact's Form D filed Nov 4, 2026.