Why Orca?
Build Analytics on Telemetry Data, Fast
No More Juggling Analytics
Orca manages the entire analytics lifecycle freeing you to focus solely on algorithm development and insight generation.
Developer First
Orca provides lightweight, idiomatic SDKs that connect your code in Python, Go, Javascript or Rust, to the control plane. This keeps your analytics code clean, self-contained, and easy to test.
Never Miss an Event
Orca is triggered by your business events as they happen. Orca enforces data freshness garuantees, ensuring that your decisions are based on the latest information.
Build on Your Intuition
Full Lineage and Audit Ready
Orca provides end-to-end lineage of your analytics and delivers clear cost attribution across all processes.
Iterate with Confidence
Orca enforces stable, versioned interfaces for all metrics. This makes every change reviewable, reproducible, and safe.
FEATURES
Build Labels and Train AI Faster
High-quality, domain-specific AI models are built on a deep understanding of the data. This requires a sufficient volume of decision-grade metrics and expertly informed labels.
The Orca UI makes obtaining this easy. It provides a single, integrated environment where your teams can analyse metrics, seamlessly label data based on real-world events, and use that accumulated insight to fine-tune AI models - transforming your raw business data into a source of truly sovereign AI.
Seamless Data Labelling: Capture the nuance of human intuition by annotating data directly within the same environment you use to view and analyse metrics.
Generate Trustworthy Training Data: Because Orca's iterations are consistent and reproducible, you can build a high-volume, high-quality set of features and labels to train better models.
Shorten AI Iteration Cycles: The integrated feedback loop allows you to move faster from metric generation to label creation to model fine-tuning.
FEATURES
Telemetry Metrics Made Easy
Orca provides a suite of developer first SDKs to make it easy to wrap business logic definiting metrics on telemetry in the code needed to connect it to the Orca control plane.
Once, connected Orca will check the condition of the DAG cross platform at compile time - speeding up algorithm development and decreasing the engineering effort to take analytics to market.
FEATURES
Production Metrics with Unshakeable Reliability
Avoid cascading failures, poor backfills and stale data by handling brittle glue scripts..
Orca orchestrates your pipelines with data freshness garuantees, including idempotent backfills, intelligent retries, and failure isolation. This ensures runtime health is enforced at runtime, not just monitored after the fact.
Event-Driven at the Core: Orca listens for your business events and triggers analysis in real-time, eliminating the gaps and collisions of cron-based schedulers.
Guaranteed Freshness: Freshness is enforced at runtime to ensure your decisions are always based on current data.
Automated Backfills & Retries: Idempotent backfills and isolated retries prevent cascading failures and ensure data consistency, even when issues occur.
PRICING
Pricing that Matches your Scale
Orca Core
The core control plane. Build scalable analytics workflows - own everything.
Forever Free
Core orchestration plane
Developer friendly SDKs in Python, Go, Ts and Rust
Automated DAG Scheduling
Versioned triggers and algorithms
Orca Pod
Take your business metrics and build market leading domain specific AI
$ Custom
First class timeseries annotation
AI fine tuning on labels
Semantic search for behaviour
Reprocessing engine with cost estimates
DAG condition Visualiser
CI/CD Integration
Custom Support
Bespoke Algorithm Development
Join Tier-1 teams using Orca to building domain specific AI on their telemetry data. Start your journey now.