THE SMART ALTERNATIVE

Un-SaaS your data.

SaaS isn’t the right model for enterprise data infrastructure. It’s rigid, expensive and may result in vendor lock-in and data leaks. So we started over and built a modern self-hosted data platform based on recent, real-world user feedback.

POWERING AI WITH TRUSTED DATA

Artificial intelligence

Build reliable AI solutions on a foundation of high-quality data, robust governance, and enterprise-grade security. Ensure your AI initiatives succeed with IOMETE's comprehensive platform.

The impact of data quality on AI

Research shows that 87% of AI projects fail to reach production due to data quality issues. Poor data quality costs organizations an average of $12.9 million annually. IOMETE helps ensure your AI success with comprehensive data quality controls.

87%

OF AI PROJECTS FAIL TO REACH PRODUCTION DUE TO DATA QUALITY ISSUES

$12.9 M

ANNUAL COSTS INCURRED BY ORGANIZATIONS DUE TO POOR DATA QUALITY

Foundations for AI success

DATA QUALITY
  • Automated data validation
  • Quality monitoring
  • Schema enforcement
  • Anomaly detection
  • Data cleansing tools
DATA GOVERNANCE
  • Policy management
  • Data lineage tracking
  • Compliance controls
  • Audit logging
  • Version control
ACCESS CONTROL
  • Role-based access
  • Column-level security
  • Row-level security
  • Data masking
  • Authentication integration

AI platform features

Data quality management
QUALITY CONTROLS
  • Automated validation rules
  • Data profiling
  • Quality metrics
  • Anomaly detection
QUALITY MONITORING
  • Real-time monitoring
  • Quality dashboards
  • Alert management
  • Trend analysis
Data governance framework
POLICY MANAGEMENT
  • Policy definition
  • Compliance controls
  • Data lifecycle
  • Retention policies
AUDIT & COMPLIANCE
  • Comprehensive logging
  • Activity monitoring
  • Compliance reporting
  • Access auditing
Security framework
ACCESS CONTROLS
  • Fine-grained controls
  • Role management
  • Data masking
  • Authentication
DATA PROTECTION
  • Encryption
  • Key management
  • Secure transfer
  • Data isolation
Comprehensive monitoring
QUALITY MONITORING
  • Data quality metrics
  • Drift detection
  • Performance tracking
  • Alert system
SYSTEM MONITORING
  • Resource utilization
  • Performance metrics
  • Security monitoring
  • Health checks

End-to-end quality assurance

DATA INGESTION
  • Validate and clean data at ingestion with automated quality checks and schema enforcement.
PROCESSING
  • Maintain data quality through transformation with comprehensive validation rules and monitoring.
STORAGE
  • Ensure data integrity with version control, lineage tracking, and quality metrics.
CONSUMPTION
  • Deliver high-quality data for AI with access controls and usage monitoring.
BOOK A DEMO

Ensure your AI success.

Build AI solutions on a foundation of high-quality, well-governed data.