Quome is the senior services team + HIPAA-ready platform your data scientists have been asking for. We deliver production-grade AI apps and agents — inside your own AWS, GCP, or Azure account — ready for validation on day one.
Your data scientists built something that works in a notebook months ago. It's still in a notebook. The production data they need is behind a 6-month IT ticket. Your compliance team won't greenlight PHI access without an architecture review that's been waiting for a platform team hire since last year. The Series A-style vendors can't sign a BAA, and the Big Four can't move faster than 18 months — so the pilot goes back on the shelf, and your VP asks again why pharma AI is so slow.
You don't need another model, another warehouse, or another consulting deck. You need a team that's done this before and a platform built for regulated pharma workloads from day one — so the next pilot your team builds gets validated, deployed, and measured inside this fiscal year.
A senior services engagement and a production platform — together — so your pilot ships to production in a single quarter, not a single fiscal year.
20+ data scientists, agent engineers, and security experts who ship. Your pilot gets a dedicated engineering lead who owns the roadmap from kickoff to production cutover — no handoffs, no ticket queues.
The finished app or agent runs inside your AWS, GCP, or Azure account. Your data never leaves. Your IAM controls access. Your billing, your audit logs, your SOC 2 perimeter — extended, not replaced.
Signed BAA. 4-layer tenant isolation. Full audit trail. 24 documented security policies. SOC 2 Type I audit in progress. Your compliance team can start validation the week the pilot goes live.
Every pharma AI leader we talk to has already tried — or been pitched — these approaches. Here's why they stall.
Four layers of tenant isolation. A compromise of one workload has zero impact on any other. Every project you run on Quome is isolated at the cloud account, identity, application, and network layers.
Per-project cloud account / subscription.
Dedicated Postgres, Redis, compute, storage, KMS — provider-enforced. Clinical data never shares infra with commercial data.
Each project has its own delegate identity; cross-project token exchange impossible.
AWS external_id, GCP audience binding, Azure tenant federation — zero stored long-lived credentials.
Row-level security + SpiceDB authorization on every resource access.
Every access to PHI or proprietary molecule data is logged, authorized, and auditable.
Three-zone segmentation; databases never internet-accessible.
Public (LB only) / Application (VPC connector, no public IP) / Data (private only).
Quome never stores long-lived customer credentials. Every access to your cloud uses a short-lived token minted via your delegate identity — so your security team has one less thing to worry about during validation.
24 security policies documented and enforced · SOC 2 Type I audit in progress with Prescient
Kick the tires on the platform, or let our team drive the first pilot end-to-end. Most pharma customers do both.
Your team deploys apps, agents, and data services inside your own AWS, GCP, or Azure account. Unlimited projects, sandboxes, and models during the trial.
Our senior data scientists and agent engineers take your pilot from discovery to production cutover in 90 days. You keep the code, the models, and the platform after the engagement ends.
Most pharma customers start with a 30-day trial to validate the platform, then move into a 90-day services engagement for the first production pilot.
30 minutes with Terry, our CRO. We'll walk through the pilot you're trying to ship, the blockers, and whether a 90-day engagement is the right shape — or whether a 30-day platform trial gets you there first.
You'll leave with: a candid read on feasibility · a rough scope & timeline · next-step options (no deck, no pressure).
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Keep your cloud. Keep your compliance posture. Keep your data. Quome gives you the team and platform to put it all to work.