Drop raw data. Walk away with knowledge you can talk to.
Throw in messy spreadsheets, exports, and documents — in Arabic or English. 0plus cleans them, builds the relationships, and turns them into queryable SQL, a knowledge graph, and a guided wiki. Then your team chats with the result. No code, and nothing leaves your environment.
Answers that show their work — and never leave home.
Ask in plain language. The private engine writes the SQL, runs it inside your perimeter, draws the chart, and shows exactly which tables it used — with full lineage. It is your engine, not a public chatbot.
- Natural language to SQL, automatically.
- Every answer cites its source tables and lineage.
- Bilingual — ask in Arabic, English, or both.
- 0 external calls — verifiable at the network layer.
Seven steps from a messy file to a living knowledge base.
Each stage is automatic, explainable, and reversible — and every one runs inside your perimeter.
- 01
Drop
Raw files in Arabic or English — no schema needed.
- 02
Clean
Deduplicate, fix types, standardize, and repair.
- 03
Relate
Detect keys and build relationships across files.
- 04
To SQL
A clean, queryable relational model — automatically.
- 05
Graph + wiki
A knowledge graph and a guided wiki of your data.
- 06
Chat
Ask questions in plain Arabic or English.
- 07
Decide
Follow guided decision paths to an action.
A knowledge graph, a guided wiki, and a path to the decision.
- Knowledge graph — entities and relationships, discovered automatically.
- Guided wiki — every entity documented in plain language.
- Decision path — the model proposes the next best action.
The full discipline of data engineering and data science — without a keyboard full of code.
Every method a specialist would reach for is available as a guided, visual step — including the mathematical and actuarial models most tools never expose.
Data engineering
Profiling and data quality, deduplication and matching, normalization and modeling, and feature engineering.
Data science
Regression and classification, clustering and segmentation, forecasting and time series, and anomaly detection.
Math & actuarial
Survival and risk models, reserving and pricing, Monte Carlo simulation, and optimization.
Experimentation
A/B and uplift testing, backtesting, scenario analysis, and explainability.
Optimization & tuning
Auto feature selection, hyperparameter search, model comparison, and drift monitoring.
All private
Runs in your perimeter with no public-AI calls, full lineage and audit, and Arabic-native throughout.
Questions teams ask first.
- Can it really take raw Arabic data?
- Yes. 0plus is Arabic-first: drop spreadsheets, exports, or documents in Arabic, English, or a mix, and the pipeline cleans, relates, and models them natively — right-to-left throughout.
- Does chat-with-data use a public LLM like ChatGPT?
- No. The chat and modeling run on a private engine inside your environment. No prompt, question, or row is ever sent to an external AI or LLM service — verifiable at the network layer.
- Do I need to write SQL or code?
- Never. You ask in plain language; the engine writes and runs the SQL for you and shows it for transparency. Analysts and business teams use the whole platform without code.
- What advanced methods are included?
- The full data-engineering and data-science toolkit — profiling, feature engineering, regression, classification, clustering, forecasting, anomaly detection — plus mathematical and actuarial models such as survival analysis, reserving, Monte Carlo simulation, and optimization, all as guided visual steps.
- Where does it run?
- On-premises, in your private cloud, fully air-gapped, or in a sovereign in-country region — your choice, by sensitivity and regulation.
Drop your data. Leave with answers.
Bring one real, messy dataset — in Arabic or English. We'll run it through the pipeline live and chat with the result, entirely inside a private environment.