— Platform · Deployment →
Fully hosted SaaS — nothing for your team to run.
Deployment is deliberately unglamorous, and it's ours to run: containers behind nginx, an API that scales horizontally, and a managed graph database — all operated by us, not something your IT team installs or patches.
Fully hosted SaaS
We run the stack — a production container platform behind nginx, with the graph database reachable only inside our private network. Nothing for your team to install, patch or maintain.
Multi-tenant, organization-isolated
One shared, managed graph — every organization's data, configuration and audit chain is isolated by organization, not by separate servers.
Managed, clustered graph database
Neo4j AuraDB or an enterprise causal cluster underneath, for high availability and online backup — operated by us, not something you configure.
Operations
Run and scaled by us, every day.
Scales out
The API is stateless (JWT), so we add replicas behind a load balancer as usage grows — no action needed from you.
Isolates heavy work
Chemistry, sequence, primer, CRISPR, antibody and genome-search services run in their own containers; a heavy job never blocks a batch-record save.
AI can stay platform-hosted
Run the model on infrastructure we operate, isolated to your organization; commercial providers are an optional admin setting, never the default without your choice.
Backed up continuously
Volume snapshots and online graph backup, managed by us; schema and seed apply idempotently at start.
Leave with your data
Full-graph NDJSON export and AnIML analytical export are built in — your data is never locked in.
Isolated by organization
One shared, hosted stack with organization-scoped data — per-org configuration is graph rows, not separate infrastructure.
Tell us about your compliance requirements.
Your data-residency rules, your validation standards — we will map them to how the hosted platform is configured for your organization, in the walkthrough.