GDPR audits reveal PII in 14+ unexpected locations
Many dashboards break from a single schema change
4 engineers doing nothing but pipeline maintenance ($800k/year)
Finance, Sales, and Marketing report different revenue numbers from the same source
What You'll Get
Conduktor Flow helps data and analytics leaders unlock on-prem operational databases for AI and analytics.
Secure-by-Design
Data Movement
When sensitive data blocks 80% of analytics requests and GDPR audits reveal PII in unexpected locations, Conduktor Flow's zero-trust architecture automatically detects and protects sensitive data at extraction before it ever leaves your operational databases.
Unlike post-movement masking that leaves exposure windows, Conduktor Flow ensures PII is masked, financial data is tokenized, and proprietary information is blocked at the source.
Self-Service Data Catalog
When data access requests take 3 weeks and finding the right table requires expert knowledge, Flow provides instant data discovery and automated access.
Teams browse available operational data, see complete profiling and lineage, and get secure access in hours with all security policies automatically enforced.
Adaptative Pipelines
When schema changes break dashboards and require several engineers for constant maintenance, Conduktor Flow's adaptive pipelines detect changes and adjust automatically.
Your ML models keep receiving features, dashboards stay up-to-date, and data keeps flowing even as operational databases evolve, without manual intervention.
Complete Data Lineage
When auditors need proof of data handling and teams can't trace data quality issues, Conduktor Flow provides end-to-end visibility of every data movement.
Track exactly what was extracted, how it was protected, where it went, and who accessed it.
Universal Data Delivery
When operational data needs to reach many destinations with different security requirements, Conduktor Flow creates a single governed pipeline that intelligently routes protected data everywhere.
Analytics teams get clean data in Snowflake, ML systems receive real-time features, AI platforms access up-to-date signals, and partners consume tokenized data, all without building custom integrations.
The Conduktor Flow Approach
Transform Databases from Protected Fortresses into Accessible Data Sources
Foundational pieces
Measurable impact across
Security, Operations, and Analytics
Accelerate Time-to-Data
From weeks to hours with self-service access and automated security controls
Increase Use-Case Activation
5x more AI, analytics, and reporting projects delivered
Reduce Engineering Overhead:
70% reduction in pipeline maintenance and creation work
Prevent Data Incidents
50% fewer data breaches through field-level protection before movement
Eliminate Pipeline Failures
75% reduction in schema-change related breakages
Ensure Continuous Compliance
Instant audit readiness with complete lineage and protection tracking
