0% Oracle, 2020
"We have tons of data, but don’t use it."
Over 80% of enterprise data goes completely unused, not because it isn't valuable, but because preparing and analyzing it takes forever.
Self-building AI Data Scientist
AI,
that builds AI. Autonomous, Understandable.
For All.
Get from raw data to working AI models and explained business insights, without a PhD or a data science team.
The Problem
Sounds familiar?
These aren't edge cases. They're the everyday reality for finance teams trying to do more with their data.
0% Forbes Tech, 2024
"Our AI projects keep failing."
85% of ML projects fail before they ever ship, usually because the underlying data was never properly cleaned or understood.
0M McKinsey, 2025
“Our ML Engineers, Data Scientist, and specialists’ capacities are too small or their overloaded”.
McKinsey estimates the AI talent gap at 1.4 to 3.9 million people by 2027 in Europe alone.
0% Dataiku, 2025
"We don't trust what the AI is telling us."
95% of companies have no visibility into how their AI reaches its conclusions. In finance and regulated industries, that's not just frustrating, it's a liability. If you can't explain the reasoning, you can't use it.
An autonomous solution could help to fill these gaps.
Solution
From raw data to explained insights in three steps
Step 1
Upload your data
Errors, gaps, and anomalies detected and fixed. Automatically.
Aqentra AI supports spreadsheets, CSVs, and database exports. The platform automatically detects data types, missing values, and outliers, so your data is clean and ready for analysis. No manual preprocessing or technical expertise required.
Step 2
Run your analysis or model
The platform selects, builds, and validates the right model for your task.
Aqentra AI chooses the best-fit machine learning or statistical model for your use case — forecasting, classification, anomaly detection, or risk scoring — and handles feature engineering, training, and validation, delivering robust, explainable results without manual tuning.
Step 3
Understand the Why
Causalities, not correlations. Every decision logged and traceable.
Every prediction and recommendation comes with a transparent explanation. Aqentra AI logs every step, providing full audit trails aligned with the EU AI Act, so you can see the drivers behind your results.
See It In Action
Watch it turn raw data into explained insights
A short walkthrough of the workflow above: upload data, get a validated model, and read the plain-language explanation behind every prediction.
What Aqentra AI Can Do
One platform, the whole data science workflow.
From your first upload to a monitored, explainable model in production, everything below runs inside a single autonomous pipeline.
Data Ingestion & Cleaning
- Upload CSVs, spreadsheets, or Parquet files, or connect a live warehouse like Snowflake or Azure SQL
- Missing values, duplicates, and outliers detected and fixed automatically
- Every dataset cataloged with column-level metadata and access control
Analysis & Causal Discovery
- Automatic exploratory analysis surfaces trends, seasonality, and anomalies without manual charting
- Feature engineering and selection handled for you
- Causal discovery finds what actually drives an outcome, not just what correlates with it
Automated Model Building
- Forecasting, classification, and scoring models selected, trained, and validated for you
- Predictions come with confidence intervals, not single-point guesses
- One-click deployment, with drift monitoring and retraining built in
Explainability & Governance
- Plain-language executive summaries generated for every result
- A full audit trail of every step, aligned with the EU AI Act
- Stress-testing and statistical validation before anything ships
Available as a fully managed hosted service, or as a self-hosted deployment that runs entirely inside your own infrastructure.
Under the Hood
Built different, from the ground up.
Four components, each a technical first, working together as one autonomous system.
Self-Validating Data Engine
Our AI tests its own cleanup results before passing anything forward. The data you model on is actually clean.
Autonomous Model Builder
Like a data science team on autopilot. It selects, builds, trains, and validates the right model — without you configuring anything.
Business Worldmodel
A causal knowledge graph that learns how your business works over time and uses that context to make smarter, more stable predictions.
Full Explainability & Audit Layer
Every step is logged. Every decision is traceable. Built for regulated industries and the EU AI Act from day one.
Founder Note
Why I'm building this
"I spent five years in finance watching revenue streams, financial services and multi million Euro decisions run on fragile, manual Excel processes, only because real, custom AI solutions were too complex and too opaque to use. I built Aqentra to fix that."
Rasmus, Founder & CEO
Pilot Access / MVP
Let us build this together.
The MVP is in its final stages. We're selecting a small group of pilot partners — finance teams and financial service companies in the DACH region — who want to be first to see what autonomous AI actually looks like in practice.
- For free.
- No commitment.
- Real data. Real results.
- Shape the product roadmap.