CalibrBV is an AI-powered research platform built to simplify biomedical research workflows. The institute using it faced slow, fragmented processes due to scattered data sources and heavy manual review. The goal was to automate data retrieval, synthesis, and insight generation so researchers could move from raw data to conclusions much faster.

AI Workflow & Multi-Agent System

Designed a multi-agent architecture that could break down complex research queries into smaller tasks.

Built automated flows that fetch data from APIs, spreadsheets, and internal sources.

Implemented AI-powered synthesis pipelines to generate accurate, traceable research summaries.

Automated repetitive tasks including data gathering, cleaning, validation, and report generation.

Created logic for cross-source comparison to ensure reliability and reduce manual verification.

Developed clear workflow visibility so researchers could track and audit each step.

The platform dramatically reduced manual research time while producing more consistent, high-quality insights. CalibrBV enabled biomedical teams to run complex research workflows in minutes instead of hours—boosting speed, accuracy, and scientific decision-making.