Adaptable Data Interoperability
Point to point bi-directional data integrations that are composable, machine verifiable and preserve data relationships. Finally a cost-feasible approach to enterprise wide data interoperability.
Tame Big Complexity
Is your workforce frustrated that your various enterprise applications don’t exchange data reliably? Learn how Conexus tackles the most intimidating data interoperability challenges.
Current solutions for enterprise data modeling are often informal and ad hoc. Conexus’ use of [math] as an interlingua for data can dramatically increase productivity by removing barriers to data integration.
Joshua Shinavier
We strongly endorse Conexus. They have changed the landscape with their technology platform which fits very nicely into our design and engineering processes.
Murray Cooper, Honeywell Aerospace
Algebraic Data Integration
Conexus enables data interoperability to scale with costs that diminish rather than explode. It achieves this by leveraging categorical algebra. The result is an adaptable and machine verifiable data fabric constructed rapidly and at minimal cost.
Uber Data Interoperability
Conexus helped Uber interoperate across hundreds of thousands of data sources stored in over a dozen different technologies.
New Math, New Approach
Conexus technology is built on breakthroughs in Categorical Algebra out of MIT, a universal meta model that enables principled transformations between any data structure.
A Data Architects’ Secret Weapon
Go From This…
To This…
Adaptable and Verifiable
Conexus data integrations are adaptable and verifiable, which makes them reliable through change. Enabled by breakthroughs in categorical mathematics, Conexus unlocks a new approach to data interoperability.
Smash Data Bottlenecks
Unleash the value of all your data, faster. The future of your company depends on it.
