Built on VisorEngine
From raw data to a model you can trust.
MLVisor prepares the data, trains and explains the model, and writes its code — on your own infrastructure, powered by VisorEngine, our probabilistic inference engine.
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One ecosystem, built on our own engine
- 01
The production studio
The studio you work in, and the name the whole system carries.
- 02
Inference engine
The probabilistic inference core — no external LLM or API.
- 03
Shared platform
Where models and datasets will be shared. Arriving after the studio.
All three are built by ImperialTechs on the same independent core.
The inference engine at the core
VisorEngine is our own probabilistic inference engine — not a wrapper around someone else's model. It reasons over a mathematical probability space, so it stays precise on massive data where LLMs lose context.
- 01Data & PromptUser input and data integration.
- 02Intent ResolutionThe engine determines the user's true goal.
- 03Autonomous AnalysisData is analyzed against that goal.
- 04Probability SpaceMathematical inference and branch-and-bound search.
- 05Dynamic BuildThe solution and its interface are built automatically.
- 06ReportPerformance metrics and a live deployment report.
Works with the tools your team already uses
See the whole thing run
Three and a half minutes of the real product, start to finish. Jump straight to the part you came for.
Full demo · 3:28Manage every parameter and metric yourself, if you want.
Command your data, track the model, visualize the decision and share it — you set the limits.
Data processing & preparation
Truly command your data. Analyze it in depth and shape your decision mechanisms before applying them to the dataset.
- One-click statistical analysis
- Reproducible code stack
- No switching tools
Model & performance management
Follow every moment of training up close. Own the whole process, not just the results — metrics, curves and a live report.
- Live accuracy, F1 and ROC-AUC
- Training & validation curves
- One-click deploy report
3D geometric analysis
Stop algorithms from being a black box. Experience visually how your models separate the data, in an interactive space.
- Interactive PCA projection
- Decision planes in 3D
- Built-in GeoGebra engine
Sharing with VisorHub
Open your work to the ecosystem. Discover, analyze and share quality datasets and models with the community on VisorHub.
- Public dataset & model registry
- Edge-optimized, ready to use
- Community at its core
Continue in Jupyter
Every operation you queue is written out as real, commented Python. Export the notebook and carry on in the environment you already use — nothing stays locked inside the studio.
- One-click notebook export
- Readable, commented code
- pandas · scikit-learn · matplotlib
Write one sentence.
Or do nothing at all. Let VisorEngine find the data, build the model, write the code and construct the interface.
We are building VisorEngine — come build with us
MLVisor is pre-launch. We are talking to research partners, institutions and investors who want autonomous, production-grade AI running on independent infrastructure. If that is you, we would like to hear from you.