AI platform accelerating clinical trial protocol development and regulatory submissions
Biorce built Aika to compress clinical trial timelines by automating protocol generation, feasibility studies, and regulatory documents. The tech stack reveals a knowledge-graph-first architecture (Neo4j, JanusGraph, Amazon Neptune, TigerGraph) paired with LLM evaluation pipelines—a signal they're treating clinical trial data as a structured knowledge problem, not just a document-generation task. Hiring is engineering-heavy with concurrent pushes into healthcare, data, and clinical expertise, suggesting they're scaling both the platform and domain credibility simultaneously.
Notable leadership hires: Clinical Solutions Director, Business Development Director, Engineering Head, Medical Director, Clinical Director
Biorce develops an AI platform designed to reduce the time and cost of clinical trial development. The product, Aika, supports Phase 1–3 trial workflows and market-approval pathways by generating compliant protocols, feasibility studies, regulatory submissions, and consent forms. The platform ingests data from over 1 million published trials, 260,000+ clinical protocols, peer-reviewed articles, and regulatory guidelines. Founded in 2024 and headquartered in Barcelona, the company operates with 51–200 employees and is actively scaling engineering and healthcare teams across Spain and the United States.
Biorce uses PostgreSQL and multiple graph databases (Neo4j, JanusGraph, Amazon Neptune, TigerGraph) for knowledge representation, Python and FastAPI for APIs, Veeva Vault and Veeva CRM for clinical data, and Kafka/RabbitMQ for event streaming. Observability runs on Prometheus, Grafana, and Jaeger.
Current projects include LLM evaluation and testing, structured training-set development for the Aika platform, protocol intelligence extraction for predictive capabilities, Veeva Vault integration, advanced analytics pipelines, agentic workflows, and clinical data platform integration.
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