Venture-backed biotechnology startup
An internal scientific analysis platform, untested and manually operated, re-architected into a production system: automated testing, CI/CD, autoscaling CPU and GPU compute, SSO, and end-to-end observability.
Real examples of custom software, agentic AI systems, scientific platform modernization, and infrastructure transformation.
An internal scientific analysis platform, untested and manually operated, re-architected into a production system: automated testing, CI/CD, autoscaling CPU and GPU compute, SSO, and end-to-end observability.
A single, access-partitioned brain that AI agents run on: documents, decisions, and code in one knowledge graph and compounding wiki, self-hosted and model-independent. Benchmarked at full-context accuracy on roughly a tenth of the tokens, with cost that stays flat as the corpus grows.
A multi-tenant organizational intelligence platform, designed and built from first principles: a shared agent ecosystem with tenant-isolated memory and a vendor-independent AI architecture.
Production-grade pipelines, notebooks, and experiment tracking that give small biotech teams the computational-biology infrastructure they need on day one, without hiring a DevOps engineer.
Start with a 15-minute intro call, or send an email. We’ll talk through where your systems are today and what it would take to make them reliable.
Pick a time that works and it’s booked: a quick call to see whether we’re the right fit for what you’re building.
Pick a timePrefer email? Send a note about your team and systems and we’ll get back to you, usually the same day.
brent@graphline-systems.com Send an email