
SymbyAI
AI platform automating scientific review and replication.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
* | $2.1m | Seed | |
Total Funding | 000k |
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SymbyAI is a software-as-a-service (SaaS) platform using artificial intelligence to streamline the scientific research lifecycle. Founded in 2023 by Ashia Livaudais and Michael House, the company aims to address inefficiencies in traditional research, such as the lengthy peer review and replication processes. Livaudais, an AI Research Engineer and Computational Physicist, was inspired to create SymbyAI after experiencing these challenges firsthand during her work at institutions like Fermilab, where she developed algorithms for autonomous particle accelerators. She identified a common problem among researchers spending months on tasks that technology could accelerate.
The platform provides a centralized, organized workspace where researchers can access papers, code, data, and experimental results. A key feature is its AI-powered assistant designed to automate and assist with peer review and experiment replication, aiming to reduce these critical processes from months to hours. SymbyAI is built on a proprietary multi-instruction large language model (LLM), which ensures that client data and intellectual property are not shared with third-party AI providers and are not used to train the company's own models. This focus on data privacy is a significant differentiator.
The company targets individual researchers, academic publishers, universities, commercial R&D teams, and clinical research centers. Its business model is based on providing its platform to these organizations to enhance research quality and efficiency. In February 2025, SymbyAI secured $2.1 million in seed funding from investors including Drive Capital and CharacterVC. This capital is intended to expand the team, enhance platform capabilities, and fulfill initial partnership agreements. The company has reported a growing annual recurring revenue (ARR), reaching approximately $550,000 with nine signed contracts as of March 2025.
Keywords: scientific research, AI research assistant, peer review automation, experiment replication, computational physics, research lifecycle management, SaaS, knowledge discovery, scientific data analysis, research collaboration platform, proprietary LLM, data privacy, R&D automation, academic publishing tools, clinical research technology