Backed by Point9 AI

Plain‑English Data Engineering & Decision Intelligence

Build, run, and automate complex data pipelines, KPIs, and compliance decisions, without code.

Ship in minutes, not weeks

70–90% less ETL/ML effort

Connect anything

DBs, files, blobs, streams, no heavy setup

Explainable & auditable

Full run history, role controls, EU AI Act/SOC2 aligned

Scale without headcount

In‑memory, multi‑engine execution (Python, PySpark, JS)

How It Works

01

Connect your data

Snowflake, BigQuery, Postgres, S3, Kafka…

02

Author rules in plain English

Or drag‑and‑drop

03

Orchestrate flows

Parallel/sequential, schedules, alerts

04

Route actions and export

Approve/escalate/investigate; DB/BI/vector

Key Capabilities

Write rules in natural language that compile to Python, PySpark, or JavaScript. No coding required.

Connect to any database, blob storage, file system, or streaming platform. Built-in SDKs and webhooks.

Visual flows with dependency management, parallel/sequential execution, scheduling, and automated retries.

Execute pipelines in Python, PySpark, or JavaScript. Choose the right engine for your workload.

Track run history, set threshold-based alerts, view dashboards. Full audit trail with role-based controls.

0–90%
Less engineering work
0%
Lower Data Lake bloat
0M+
Records, sub‑second latency
0%
Fewer false positives

See RulzAI on your data in 14 days