A real-time data analytics system.

Take your analytics to the next level.

Chronusphaera brings together language, observation, exploration, and AI into one workflow for real-time systems.

Chronusphaera armillary sphere logo

One product system

Author, run, observe, and visualize temporal stream processors.

Realtime insight

Follow throughput, traces, row counts, plots, and lineage as execution advances.

AI agent workflow

Explore systems, understand behavior, and delegate actions end to end with Concilium.

The Chronusphaera ecosystem

Six components. One workflow.

From definition to understanding.
01

Execute locally

ChronusCLI

Run local temporal SQL workflows against JSON streams, validate behavior quickly, and carry the same query shape into server-backed execution.

Open ChronusCLI
Chronusphaera workspace for running a temporal stream processing project
02

Read the docs

ChronuSQL

Author event-time SQL for filters, windows, temporal pattern recognition, and online machine learning in a purpose-built language surface.

Open ChronuSQL
ChronuSQL editor showing a temporal pattern-matching query
03

Explore with AI

Concilium

Talk with Consilium the AI Agent that allows you to explore, understand and delegate actions end to end.

Consilium AI assistant conversation and task workflow
04

Stage the mechanism

Creatio

Create and stage ChronuSQL runs, connect inputs and outputs, and keep execution context together for repeatable streaming workflows.

Creatio editor for configuring a connected ChronuSQL workflow
05

Observe execution

Speculum

Inspect compiled topology, event lineage, node telemetry, traces, windows, and live query state as execution advances.

Speculum node overview with live execution telemetry
06

Understand behavior

Figura

Explore live and historical stream data through plot surfaces that update during active runs and make temporal behavior visible.

Figura event-discovery visualization for a temporal data stream

The operating sequence

Definition -> Execution -> Observation -> Understanding

  1. 01

    Define

    Author intent in ChronuSQL and prepare your temporal logic.
  2. 02

    Execute

    Run locally with ChronusCLI or on a server-backed runtime.
  3. 03

    Observe

    Inspect runtime behavior, traces, and execution flow as the system evolves.
  4. 04

    Understand

    Use an AI agent to explore results and delegate actions end to end.