Platform launch: Antibody Design, Deep Research, Competitive Landscape, Biomarker Discovery, Drug Repurposing, Target Prioritization, Pharmacovigilance, and Hypothesis Generation agents, plus the unified chat platform, gateway, and credit infrastructure.
The first coordinated release of the BioMedAI platform — eleven purpose-built research and design agents, a unified chat experience, and the credit and deployment infrastructure to run them at scale.
New: Antibody Design (AADA)
Autonomous antibody design across four modes — binder, CDR redesign, VH+VL, and macrocycle — orchestrating RFdiffusion, CDR-H3 identification, and AlphaFold2-based structural QC (ipTM/PAE confidence gating). Failed candidates automatically trigger a QC-driven redesign loop, and you can restart or resume a workflow from chat at any phase while GPU jobs run asynchronously with live status updates.
New: Deep Research
Multi-agent biomedical research reports with mandatory inline citations and structured bibliographic metadata, plus podcast and presentation export for sharing findings.
New: Competitive Landscape
Competitive analysis reports across drugs, targets, and trials with inline citations and an at-a-glance spider chart summarizing the landscape.
New: Biomarker Discovery
Biomarker identification reports synthesizing genomic and clinical evidence, visualized with a spider chart for quick comparison across candidates.
New: Drug Repurposing
A supervisor-coordinated team of five parallel specialist agents evaluates repurposing candidates using network-proximity scoring against a protein-protein interactome, with a spider chart summarizing each candidate's composite score.
New: Target Prioritization
Target intelligence reports built on real API data across every table, with PubMed-backed citations and a streamlined report header and methodology section.
New: Pharmacovigilance
Automated drug safety signal analysis, integrated with the platform's credit and reporting infrastructure from day one.
New: Hypothesis Generation (WeDaita AI Scientists)
An autonomous hypothesis-generation agent, integrating PanKgraph knowledge graphs and MindsDB-backed AIRR TCR/BCR repertoire data, with a glassmorphism chat interface and persistent thread history.
New: Unified Chat Platform & Landing Experience
One agent-aware chat hub routes every conversation to the right specialist, with model selection, file upload, and live GPU job activity timelines. The new landing page introduces the platform's three-stage pipeline — DBRA (target research) → ADDA (drug design) → CTIA (clinical trials) — alongside membership tiers and a referral program.
New: Platform Infrastructure
A unified API gateway routes requests across every backend agent, backed by a shared credit-accounting and authentication library so usage is tracked consistently no matter which agent you're using.