Deep tech at the intersection of biotech, computer science and engineering.
Griff Labs accelerates companies of all scales to realise their ambitions in spaces as diverse as industrial biotech, synthetic biology, healthcare, agriculture, finance, GIS and engineering. I've worked across labs at MIT and Harvard, built multiple venture-backed startups, and deployed AI systems in enterprise healthcare - experiences I leverage to help companies build.
A non-exhaustive list of things I've shipped with partners:
AI & Machine Learning
- Agentic systems and LLM pipelines, with the evals and observability to run unsupervised
- Speech, vision, and multi-modal models wired into real products, not demos
- Computer vision at scientific throughput: microscopy, imaging, video at scale
- Custom training and fine-tuning when off-the-shelf isn't sharp enough
- Industrial-scale document processing with VLMs, NER+L, and RAG / GraphRAG systems
Biotech & Healthcare
- Multi-omic and clinical data unified into a single decision-grade view
- Assay design and DOE modelling with cost as a first-class variable
- High-dimensional analytics designed for the scientists running the experiments
Engineering & Computer Science
- Multi-cloud data platforms (AWS · GCP · Azure) for messy, multi-modal pipelines
- Serverless ingestion across distributed sites, instruments, and sensors
- OEM hardware integrations: liquid handlers, microfluidics, custom drivers
Having been a founder multiple times, I index on having skin in the game and respecting your time. If there's no value, I'll call it out immediately and introduce you to my network where a better fit might be found.
If you connected with any of the above, please get in touch! ☕
And yes, in the age of AI... "building software has gone to zero" but a recent sage wrote, "You can outsource your intelligence but you can't outsource your understanding."