Solution overview
Stackbrains is an AI-driven data observability and data quality platform that gives you end-to-end visibility across your entire data stack. We combine lineage, real-time anomaly detection, and AI-assisted incident analysis so teams can detect, investigate, and resolve data issues before they impact business decisions.
Core capabilities
Stackbrains gives data teams a unified view of data quality and pipeline health across Google Cloud. From ingestion to reporting, every step is monitored, scored, and enriched with context so you can move from reactive firefighting to proactive prevention.
Automatically trace how data flows through Pub/Sub, Cloud Run, and BigQuery, and surface freshness, completeness, and schema-drift indicators for each dataset and pipeline.
ML models trained on historical metrics and error patterns detect outliers in record counts, latency, and distribution changes, then correlate incidents across services to identify true root causes.
Define custom data-quality rules at ingestion and let AI propose fixes for common issues such as missing fields, skewed distributions, or invalid values. Trigger workflows via Cloud Run or CI/CD.
Centralize observability logs, data-quality events, and user actions for audit and compliance. Support regulatory needs in finance, healthcare, and other highly regulated industries.
Reference architecture
Stackbrains connects natively to your Google Cloud estate to observe data pipelines without disrupting existing workloads. Metadata, metrics, and events are streamed into the Stackbrains intelligence layer, where ML models transform low-level signals into actionable insights for data teams.
Collects metadata, metrics, and events from your pipelines, correlates them using AI, and exposes a unified observability plane for data teams.
Stackbrains can run as a managed SaaS or as a dedicated deployment inside your Google Cloud project. All data access is read-only and permission-scoped via IAM, ensuring governance and security controls remain under your ownership.
All communication is encrypted in transit using TLS and can be restricted via private networking and VPC Service Controls. Stackbrains focuses on metadata and aggregate statistics whenever possible, minimizing exposure of sensitive content while still providing deep visibility into data reliability.
Google Cloud integration
Stackbrains is designed to feel native to Google Cloud. We use core data, analytics, and AI products to collect signals, run models, and surface insights that scale with your workloads.
Analyze query logs, table metadata, and job statistics to understand how data is produced and consumed. Identify hotspots, expensive workloads, and silently failing pipelines.
Track Pub/Sub message rates, lag, and delivery guarantees alongside Cloud Run and Dataflow metrics. Detect drops, spikes, and out-of-contract behaviour within seconds.
Train anomaly-detection and incident-clustering models directly on your operational metrics, enabling context-aware alerting and AI-assisted incident explanation.
Example use cases
Stackbrains is designed for teams that treat data as a product. Typical customers operate in financial services, software & internet, retail, telecommunications, and healthcare, and need a dependable way to guarantee the quality of their analytics and AI workloads.
Monitor freshness SLAs and row-count expectations for every critical dataset. When anomalies appear, Stackbrains pinpoints the upstream job or table that changed and suggests likely causes.
⟶ Reduce time-to-detection from hours to minutes.
Track drift in training and inference features, monitor missing-value patterns, and alert when production distributions deviate from historical baselines.
⟶ Detect data drift before it degrades business KPIs.
Configure contract-based rules for critical reports, capture lineage to source systems, and maintain an immutable trail of data-quality checks and incidents for audits.
⟶ Strengthen governance and reduce audit preparation effort.
Stackbrains is currently available to a limited number of design-partner teams on Google Cloud. If you operate mission-critical analytics or AI workloads and want proactive visibility into data health, we would love to collaborate.
Email
zhicong@stackbrains.info
Ideal engagement
2–4 week pilot on Google Cloud