For Data Engineers

Stop writing boilerplate.
Start building systems.

Data engineers spend 80% of their time cleaning data. RTIO flips the ratio. The AI profiles metadata and plans the DAG. The vectorized DuckDB-WASM engine executes it in your browser with zero cloud egress and zero hallucinations.

The Architecture

Designed like a compiler.
Not a chatbot.

We treat data cleaning as a compilation process. The AI is the frontend parser—it inspects schema metadata and null ratios without reading sensitive rows. The planner compiles deterministic SQL recipes. The DuckDB-WASM engine executes the DAG directly in browser memory at vectorized C++ speed.

Topological DAG Orchestration

15 visual node types with diamond dependency resolution and upstream isolation

Vectorized DuckDB-WASM

In-browser analytical engine running columnar SQL queries directly on Arrow buffers

Data Wrangler Hybrid Grid

Interactive virtualized spreadsheet grid with OpenRefine clustering & Applied Steps history

Active System State

01. INGESTION

Parquet, CSV, PDF, S3, APIs

02. COLUMNAR BUFFER

Arrow memory in DuckDB-WASM

03. SMART RECIPES

Deterministic pure SQL

04. CLIENT ML

WebGPU/WASM KNN imputation

05. AUDITED EXPORT

Parquet with SHA-256 chain

Built for the modern data stack.

Engineered from the ground up for speed, reproducibility, and security.

Vectorized DuckDB-WASM

Execute analytical queries at C++ speed inside your browser tab. Columnar Arrow buffers deliver desktop-grade performance with zero cloud spend.

Visual DAG + Code Export

Prototype visually with 15 specialized node types, or export your deterministic cleaning pipeline as clean SQL, Parquet, or Python code in one click.

100% Deterministic

Same input, same output. Every operation is hashed (SHA-256) and logged. Our LLMs strictly read metadata, so your pipeline runs predictably every time.