Riffyn
Process-centric experiment design and R&D data analytics.
About
Riffyn Nexus replaces ad-hoc ELN/LIMS workflows with process-centric experiment design: scientists design experiments as linked processes, capture data at each step, and the platform automatically integrates it into machine-learning-ready datasets with full chain-of-custody traceability. It supports design-of-experiments (via a JMP add-in with full-factorial and custom designs), real-time data validation, and anomaly root-cause tracing. It is used by biotech and pharma R&D teams (eight of the top 15 biopharma companies per the company's Series B announcement) and by consortia like BioMADE. This is enterprise, quote-priced software — not a self-serve tool for a single lab.
What it can do
- Process-centric experiment design
- ML-ready data integration and traceability
- Design of experiments via JMP add-in
- Real-time data validation
- Anomaly detection and root-cause tracing
Setup
- Contact Riffyn for a demo and quote
- Model your lab processes in the Design module
- Execute experiments and record data in Measure mode
- Analyze with integrated data analytics
- Feed structured datasets to ML workflows
Prerequisites
Enterprise engagement; onboarding and process modeling with Riffyn's scientific services.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Enterprise customers verified via press (BASF, BioMADE, Imperial College partnership); $15M Series B (2019, M Ventures); Process-centric design and ML-ready data integration corroborated across multiple sources; Enterprise quote pricing; not self-serve for individual labs. Manual review: facts checked against search sources read this session; no hands-on testing, so metrics tier. License: Proprietary enterprise SaaS.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Enterprise customers verified via press (BASF, BioMADE, Imperial College partnership); $15M Series B (2019, M Ventures)
- · Process-centric design and ML-ready data integration corroborated across multiple sources
- · Enterprise quote pricing; not self-serve for individual labs
- · manual review: facts checked against search sources read this session; no hands-on testing, so metrics tier
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.