Legacy ETL can't keep up with today's demands
Overloaded with a backlog of data sources?
Missing data from dozens of SaaS apps, each with unique APIs, data formats and limitations, creates reporting and AI blind spots.
Automate data ingestion from all your applications, without any coding, for comprehensive reporting.
Struggling with broken pipelines and data downtime?
Schemas and APIs change often, breaking pipelines.
Eliminate ongoing maintenance with pipelines that automatically update to changes.
Does onboarding new sources delay analytics and AI initiatives?
Development takes weeks to months to onboard new data sources.
Effortlessly add connections to all your SaaS applications in days.
Are you spending repeat cycles to fulfill reporting requirements?
Mapping to API endpoints is complex and requires continuous intervention for additional datasets.
Eliminate mapping trial-and-error and automate pulls of complete datasets regardless of changing analytical requirements.
Is your data ready for the AI era?
Raw data lacks the semantics BI teams and AI agents need.
Deliver clean, structured data in analytics and AI-ready schema.
Is your data integration stack a resource drain instead of an accelerant?
Legacy tools require significant investments of time, expertise, and budget.
Free up valuable resources from ingestion tasks to focus on high-value work.
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