Backed by Point9 AI

AI‑Powered Data Engineering & Decision Intelligence

Build, run, and automate complex data pipelines, KPIs, and compliance decisions using AI Agents and a Hybrid Rules Framework.

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 distributed execution

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

Intelligent AI agents assist in building and validating rules. Combine natural language with custom code or logic anywhere in your execution flow. Onboard existing rules effortlessly and modify them anytime.

Connect to any database, blob storage, file system, or streaming platform. Built-in SDKs to integrate with your business applications and workflows.

Execute rules and transformations on input data, intermediary results, or augmented/merged datasets. Visual flows with dependency management, parallel/sequential execution, scheduling, and automated retries.

Validate rules with domain experts before deployment. Enable anytime modifications with full audit trail and role-based access controls.

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