Overview
AI and analytics systems are only as reliable as the data that feeds them. Unreliable pipelines, stale data, and silent failures are among the most common reasons GenAI systems underperform in production. Inferdat builds production-grade data pipelines that are reliable, observable, and maintainable from the start, not duct-taped together and handed off.
Every pipeline ships with automated data quality checks at ingestion: schema validation, null rate monitoring, referential integrity checks, and anomaly detection on incoming data volumes. Failures surface immediately. Data does not degrade silently downstream. The pipeline is observable from end to end.
Inferdat handles the full range: batch and streaming, cloud and on-premise sources, structured and semi-structured data. The output is analytics-ready, typed, partitioned, documented, and connected to whatever downstream system needs it, whether that is a data warehouse, a feature store, or a GenAI application.
All data stays in the customer's AWS account. No data touches Inferdat's infrastructure at any point in transit or at rest.
Highlights
- Automated ingestion from any source into analytics-ready datasets
- Built-in data quality checks and monitoring with no silent failures
- Supports batch and streaming, cloud and on-premise sources
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Inferdat provides direct email support to all customers at contact@inferdat.ai . Every inquiry is handled by our technical team, not a ticketing queue, and we stand behind every solution we ship.