The Pulse
Factory Acquires Typedef to Bring Data Context to Autonomous Software Engineering
Factory says Typedef is joining the company to bring data context to autonomous software engineering. The companies say Typedef’s code-derived context layer will help engineers see dependencies among data models, pipelines and dashboards as
AI.info Team · Written with AI · fact-checked ·
Factory announced on October 30, 2026, that Typedef is joining the company to bring deeper data context to autonomous software engineering. Typedef’s founders also announced the acquisition that day. The companies describe the combination as bringing Typedef’s data context together with Factory’s platform for autonomous engineering.
Factory says a change to a data model can affect definitions, pipelines and dashboards. Without a clear view of those dependencies, it says, planning a migration, checking a refactor or explaining the result can be harder. Typedef builds a context layer from code to make relationships among those systems visible. Factory says the combined offering is intended to give engineers clearer lineage and evidence as Droids plan migrations, debug pipelines and refactor models.
Context for data engineering work
Typedef’s founders described context as necessary for moving from AI assistance toward autonomous work. In their announcement, Yoni Michael and Kostas Pardalis, Typedef’s co-founders, write:
“The leap from AI assistance to true autonomy requires something much deeper than generating code.”
The founders say enterprise data connects business logic, institutional knowledge and company systems. They describe a risk in an agent writing a SQL query without understanding which pipelines, models and dashboards depend on it. Typedef’s work, they say, grew from the belief that agents need a deeper understanding of these relationships.
Factory’s announcement says Typedef brings a context layer built from code, while Factory brings a harness that lets Droids work within a customer’s environment. The two companies say the combination will provide lineage and evidence for engineering work involving migrations, pipeline debugging and model refactoring. Their announcements do not detail the context layer’s technical implementation, identify supported data platforms or explain how evidence will be presented to a human reviewer.
Factory’s platform and Typedef’s team
Factory describes its business as bringing autonomous software engineering to enterprises. Its announcement says the company helps enterprises run a governed, model-independent system that turns business priorities and engineering signals into production software. It says Droids plan, build, validate and improve work inside each company’s infrastructure, policies and approved models.
Typedef’s founders say their teams had been approaching a shared goal from different directions: Factory through autonomous engineering agents, and Typedef through data context for agents operating in complex enterprise data environments. They describe the acquisition as an opportunity to combine Factory’s agent platform with Typedef’s understanding of enterprise data systems. Factory says the two companies share a technical conviction: “customers should control their infrastructure.”
The founders say Typedef’s team will continue building at Factory. Factory’s announcement identifies the Typedef team’s experience in core data infrastructure, including work at Coolan, Salesforce, Tecton, Blendo, RudderStack and Starburst. It also says Typedef co-founder Yoni Michael co-founded Coolan, whose technology was deployed across more than 100,000 servers before its acquisition by Salesforce in 2016.
Data Droid is coming
The Typedef founders ended their announcement with a brief product update: “Data Droid, coming soon.” They did not give a release date or describe the product’s features. The announcements also do not state the purchase price or provide integration milestones. Factory’s post describes the intended role of Typedef’s context layer, but does not report results from a combined product.