Blok Data AI LogoBlok Data AI

No black boxes. No guesswork.

ML pipelines you can actually understand

Drag, drop, and connect 210+ ML blocks across tabular, vision, NLP, time-series, and geospatial data. Every preprocessing step, model choice, and hyperparameter explained in plain English.

0+ML Blocks
0Data Types Supported
SHAPExplainability Built-in
REST APIAPI Ready
Works With Any Data

One platform. Five data domains.

Spreadsheets, satellite imagery, or financial streams: Blok Data AI has purpose-built blocks for every domain.

Tabular

CSV, Excel, SQL, and cloud storage

ClassificationRegressionClustering

Vision

Images, video, and object detection

DetectionClassificationSegmentation

NLP

Documents, PDFs, and web scraping

SentimentNERSummarization

Time Series

Financial data, IoT, and weather

ForecastingAnomalyBacktesting

Geospatial

Shapefiles, GeoJSON, and satellite

Spatial AnalysisRoutingRaster
Why Blok Data AI?

AutoML that explains itself

Every preprocessing step, model choice, and metric comes with a plain-English reason. No guessing. No black boxes.

"Why This?" Explanations

At every step: preprocessing, model selection, and hyperparameters, get plain-English explanations for every decision made.

No Black Boxes

See exactly how your data is transformed, which features matter most, and how your model arrives at each prediction.

Minutes, Not Months

Upload your data, select your target, and let Blok Data AI handle the rest. Professional ML without a data science team.

Step-by-Step Workflow

From raw data to a trained model in four steps

01

Upload Your Data

CSV, Excel, or Parquet files up to 100 MB. Blok Data AI auto-detects data types and quality issues.

02

Select Your Target

Choose the column you want to predict. The platform detects classification, regression, or clustering tasks automatically.

03

Review & Customize

See explanations for preprocessing choices, model selection, and hyperparameters. Customize or accept every recommendation.

04

Train & Evaluate

Watch your model train in real time. Get metrics, feature importance, SHAP values, and a deployment-ready pipeline.

pipeline · churn_v3.blokcompleted
preprocessing · StandardScaler applied
model_select · RandomForest 94.2% acc
explainability · SHAP values computed

why_random_forest

Selected because your data has mixed feature types, potential outliers, and benefits from ensemble learning for robust, reliable predictions.

run time: 2m 34s+2.1% vs baseline
Everything you need

Powerful tools for every stage

From exploratory analysis to production deployment, everything lives in one platform.

Data Exploration

Correlations: customer_data.csv

5 numeric features · 12,450 rows · Pearson method

ageincome
0.82high
tenureincome
0.63
tenureage
0.51
regionedu
0.68high
regiontenure
0.44
eduage
0.11

High correlations flagged: consider dropping one of the pair before training.

Your first pipeline is 10 minutes away

Free tier: 10 MB storage, 10 model runs per month. No credit card needed.