MLVizz: Agentic AI Data Management
MLVizz is redefining enterprise data intelligence, making it faster, smarter & fully automated. Our agentic AI platform transforms how organisations approach data analysis, migration, & insight generation, delivering dynamic, no-code dashboards & predictive models in a fraction of the time.
MLVizz transforms complex data into actionable insights - faster, smarter & without code.
Enterprise AI initiatives often stall due to data fragmentation, time-consuming integration, & resource-heavy modelling.
MLVizz eliminates these barriers by automating data analysis, migration, modelling, & insight delivery - without writing a single line of code.
Agentic data visualisation that detects patterns across systems and formats automatically. Connect, unify, & analyse your data in minutes. MLVizz’s AI handles the heavy lifting of integration, analysis, and enrichment, so your teams can act faster.
Automated Data Analysis
Lightning-Fast Data Migration
Secure, low-touch migrations from legacy or multi-source environments.
Insight-Driven Dashboards
No-code, AI-built visualisations that guide decisions, not just show numbers. Data insights modelling & dashboards.
Review & validate the quality of your data against defined expectations. View clear indications of passed or failed checks to ensure data reliability for analysis.
Expert Data Quality
Build AI-Generated Dashboards With 1 Click.
Data Discovery is a resource-intensive exercise with relationships commonly overlooked, leading to ineffective migration strategies.
Feature Engineering often requires problem-specific knowledge in joining disparate datasets to uncover business insights.
Overreliance on data teams hinders timely decision-making and agility.
Combining statistics with modern agentic frameworks, MLVizz:
Automatically detects relationships amongst disparate data sources.
Uses ML and LLM agents to build new features and domain-specific KPI’s.
Provides a digital SME to generate insights, dashboards and data anomalies.
Business Benefits
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The AI automation cuts down on the traditional time-consuming process of data. This work, normally done by experienced data engineers & analysts, can now be performed in minutes instead of weeks.
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The effect is to streamline workflows, allowing teams to focus on strategic tasks and alignment with business goals rather than plough through complicated dataset joins and data discovery processes.
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Seamlessly works with SQL databases, Snowflake, Synapse, Feast Feature Store, CSV, AWS, Databricks, and other data formats. Directly connect with models built in Google Cloud AI, Microsoft Azure Machine Learning, and AWS SageMaker, ensuring consistency and up-to-date data representation.
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Uses a pre-trained relationship detection AI model to automatically find and infer links between disparate datasets.
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AI powered dashboards automatically built from trained models from AWS, Microsoft and Google
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Can be deployed onto private cloud architectures works with all open source and commercial models and public cloud providers.
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MLVizz uses trained AI model and a LLM to automatically detect and infer relationships between disparate datasets. LLMs are used to join datasets lacking a foreign key, based upon text data.
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The model takes the column names, generates correlation matrices, together with LLM data and then uses the pre-trained model to create the required joins for the data pipeline.
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All new relationships discovered, result in new features being added to the dataset and are then run through a set of tests to ensure validity and reported back to the user on a dashboard.
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The auto relationship generator and AI powered feature generation leads to richer features, improving model accuracy and predictive power.
“Before MLVizz, delivering data insights took months. Now it takes minutes. It’s brilliant.”
- Fortune 500 Client
