Automat-it evaluates your event data landscape, expected ingestion volumes, schema complexity, and compliance posture (GDPR, HIPAA, SOC2) to define a Pixel contract strategy aligned to your team structure, query patterns, and cost boundaries.
The AWS based analytics platform built for developers. Define your data once and watch your entire pipeline automatically provision in minutes.
Get lightning-fast queries, robust security, and strict governance at a fraction of the cost of a managed warehouse.
Tired of data pipelines that take weeks to build and break every time a schema changes? Pixel works for your engineers and your bottom line.
Eliminate cross-team bottlenecks by automatically provisioning your entire analytical pipeline from a single data contract in minutes.
Data contracts are validated at the pipeline boundary on every event. Schema changes never break downstream consumers silently - invalid data is caught, quarantined, and available for replay.
Deploy entirely within your own AWS environment to maintain absolute control, security, and compliance over your data at all times.
Seamlessly grow from startup to enterprise, handling 5,000 to 500,000+ events per second with sub-500ms query performance without ever rebuilding your stack.
Ditch the opaque billing of vendor-managed warehouses and trace every cent of compute and storage directly back to the specific team or product generating it.
Automat-it evaluates your event data landscape, expected ingestion volumes, schema complexity, and compliance posture (GDPR, HIPAA, SOC2) to define a Pixel contract strategy aligned to your team structure, query patterns, and cost boundaries.
Using battle-tested Terraform modules and GitOps-driven deployment, we provision the complete Pixel platform inside your AWS environment; EKS, MSK, ClickHouse, schema registry, and validation pipeline. The result is a standardised, secure, and fully automated data infrastructure platform.
Go live with pre-configured dashboards, alerts, and operational runbooks. The platform operates on a consumption-based model where costs are driven by measurable dimensions, event volume, compression ratio, and MSK retention, giving engineering, finance, and security teams full visibility and control from day one.
Implement a developer-first event data pipeline designed for automation, governance, and long-term scalability, entirely inside your AWS environment.