What kind of documents can Datatera.ai process?
Datatera.ai can process all document formats including PDFs, Excel files, emails, and web content. It is designed to handle mixed layouts, non-Latin scripts like Arabic, and unstructured data from various sources, normalizing them into structured entities and events.
What deployment options does Datatera.ai offer?
Datatera.ai offers flexible deployment options including Cloud SaaS, private cloud, on-premise, hybrid, and fully air-gapped environments. Enterprise-tier customers can also utilize self-hosted LLMs for complete data isolation and compliance needs.
How does Datatera.ai ensure data accuracy and governance?
Datatera.ai guarantees 99% verified accuracy with confidence scoring per field, full data lineage from source to output, and enforced schemas with validation rules. It includes built-in governance features like access policies, data contracts, and audit trails to maintain data integrity and security.
Can Datatera.ai integrate with my existing enterprise systems?
Yes, Datatera.ai is designed to plug into your existing landscape. It offers connectors for enterprise systems like CRM, ERP, data lakes, data warehouses, file stores, and email systems, adding a governed semantic layer without requiring a rip-and-replace project.
What is the typical onboarding process for Datatera.ai?
The onboarding process typically starts with discovery and architecture to align on use cases. This is followed by a 6-8 week pilot to prove value with real data. After a successful pilot, the solution scales across teams and regions, eventually becoming an enterprise standard.