Platform
BioConverse Conversational system for biomedical data exploration
A guided, conversational system for rigorous biomedical data exploration.
Not a chatbot. A system that leads the entire analytical process.
The problem
The bottleneck is not data: it's structured guidance
Biomedical datasets are rich in potential but difficult to navigate. Tools exist (statistical packages, ML libraries, visualization platforms), but most require deep technical expertise and leave researchers facing the "blank page" problem.
The real gap is not access to algorithms. It's the absence of a structured process that connects a research question to a validated result, with methodological rigor and full traceability at every step.
See it in action
BioConverse in motion
Watch how the system guides a complete analytical session, from data ingestion to structured reporting.
Applications
Practical scenarios
Consider workflows like these:
Explore your data with autonomy
Run your own analyses independently and free your statistics unit to intervene only at key decision points, where their expertise has the most impact.
Monitoring data readiness continuously
Track sample size, representativeness and key quality indicators as your study evolves. The system evaluates readiness criteria in the background and notifies you when the dataset is analytically reliable.
Integrating biological context into your data
Genetic mutation data is connected to validated external sources: pathways, biological processes, functional annotations. Formulate and explore questions across different biological levels without manual integration steps.
Keeping reports coherent through change
Changes to your data or analysis are inevitable. AutoReport maintains a consistent narrative across the entire reporting history while you adapt it to your evolving needs.
Developing a biomarker with methodological support
Move from exploratory analysis to a structured modeling phase on well-defined subpopulations. The system helps you generate results that are traceable, explainable and aligned with publication standards.
The paradigm shift
From tools to guided analytical processes
BioConverse does not answer questions. It guides a complete scientific workflow, combining the researcher's clinical knowledge with the system's analytical rigor.
Conversational contract
Each session begins with an explicit agreement on objectives, scope, and expected outputs, ensuring alignment before any computation starts.
Cognitive map
The system maintains a visible representation of where you are in the analytical process, what has been completed, and what comes next.
Adaptive guidance
Recommendations adjust to your data characteristics and domain context. The system proposes; you decide.
How it works
An orchestration system, not a single model
BioConverse coordinates multiple specialized components across four interconnected layers, from user interaction to persistent traceability.
BioConverse
Hover or click each module to explore
BioConverse
Orchestrates the workflow
AuditaR
Data quality auditing
Validates structure, completeness and readiness of your dataset before any analysis begins.
OmixLink
Integration & enrichment
Connects and consolidates heterogeneous biomedical data sources into a unified dataset.
AutoDiscovery
Automated exploration
Scans variable relationships systematically with false-discovery rate control.
AutoModeler
Predictive modeling
Builds validated models on subpopulations, aligned with TRIPOD reporting standards.
AutoReport
Structured reporting
Generates publication-ready, reproducible outputs from validated results.
Conversational interface
Natural-language interaction that translates domain questions into analytical actions.
Agent-based orchestration
Decision layer that selects, sequences, and coordinates the right tools for each step.
Analytical engines
Specialized modules (AuditaR, AutoDiscovery, AutoModeler…) executing statistical and ML tasks.
Persistent state
Full traceability of decisions, parameters, and results across the entire session.
Process
A complete analytical workflow
The system guides each step, from defining the research objective to generating a structured report. You maintain control; BioConverse provides structure.
Define objective
Establish scope, questions, and success criteria.
Generate exploratory questions
The system proposes relevant analytical questions.
Structure & validate data
Audit, clean, and integrate data sources.
Explore relationships
Automated, hypothesis-free discovery of associations.
Build models
Optional predictive modeling on validated findings.
Generate report
Structured, interpretable output for your team.
Impact
What changes
Manual analysis
Guided exploration
Isolated tools
Integrated system
Technical dependency
User autonomy
Fragmented outputs
Structured knowledge
BioConverse does not replace expertise.
It structures it, amplifies it, and makes it operational.