Ingest
Connect to Postgres, MySQL, Snowflake, BigQuery, or upload CSV/Parquet. Incremental sync keeps training data fresh.
PLATFORM
One platform. Your tables in, a production model out.
Langsat is a no-code training platform built on Relational Deep Learning. Bring your CSV, Parquet, or database — leave with a model, an API, and a dashboard.
WHAT IT DOES
The full ML workflow, zero glue code
Detect schema
Primary keys, foreign keys, and time columns are inferred automatically. You review, we train.
Clean
LLM-assisted data cleaning that respects your intent. Missing values, outliers, type mismatches — all handled before training starts.
Train
Relational Deep Learning picks the right architecture for your data shape — GNN for relational, tabular models for flat data.
Evaluate
Precision, recall, calibration, feature importance, counterfactuals. Full model card, exportable for compliance.
Deploy
REST API, SQL scoring UDF, batch prediction pipelines — pick the interface your team already uses.
TRUST
Built for production, not demos
[ TODO: replace with real trust signals — SOC2, GDPR, customer logos. ]
Your data, your perimeter
Deploy in your AWS account for SOC2/HIPAA-sensitive environments. Langsat never sees raw data.
Learn more →Audit trails
Every training run, inference call, and data sync is logged with signer, timestamp, and outcome — ready for compliance review.
Learn more →Ready to train your first model?
Sign up free. Train a real model in minutes.