Enterprise deployment of the engine
The full engine — target to clinic — on compute you control. Dedicated GPU containers, governance controls, warehouse integration, and audit artifacts that support 21 CFR Part 11 review.
“Pull our Q3 hits from Snowflake. Run ADMET and FAVES. Push enriched results back to a flagged_for_review table.”
Where the decision happens decides what it costs.
millions of dollars, and years
Phase II is where most programs die.
hundreds of thousands, and months
credits, and minutes
Toxicity and drug-like properties drive roughly 40 to 45 percent of clinical failures. We surface those flags in silico, before a dollar of lab spend.
We do not promise to raise the survival rate. We make sure the molecules you carry into the expensive stages are already triaged against the properties that kill programs.
Run GPU-heavy workflows without shared bottlenecks
Dedicated compute for GPU docking, molecular dynamics, and ADMET processing. VPC peering and private endpoints — without shared tenancy concerns.
Pass regulatory review without rebuilding your pipeline
Complete audit trails for every prediction, optimization, and discovery decision. Electronic signature support and 21 CFR Part 11 audit artifacts — without custom tooling.
Connect to your existing data warehouses
Bidirectional pipelines to Snowflake, Databricks, BigQuery, and Supabase. Pull compounds, enrich with 69 discovery tools, push results back — without ETL engineering.
The moat
Orchestration and the index are delivery, rebuildable by a good team. The moat is the two layers that are not: models that cannot be rented, beating the open stack by a measurable margin, and an audit trail that cannot be retrofitted without paying for provenance twice.
The first buyer to put this engine under its pipeline takes a structural cost-and-speed advantage off the table for everyone else.
Custom credit volumes
Allocations matched to your research throughput. Dedicated billing, invoicing, and per-team usage analytics.
Custom integrations
CAS SciFinder, Benchling, Dotmatics, CDD Vault, internal ELNs — connected alongside your existing data warehouses.
SSO & SAML
Okta, Azure AD, PingFederate, SAML 2.0. Centralized access control across your organization.
Dedicated account partner
A named partner who understands your discovery workflows. Onboarding, pipeline configuration, and ongoing optimization.
Why enterprises choose NovoMCP
Replace fragmented toolchains
One engine replaces separate tools for docking, ADMET, compliance, literature search, and data management. Your team stops stitching pipelines and starts running them.
Reduce time to candidate selection
Pre-computed data on 122M+ compounds and GPU simulation on demand. Workflows that took weeks of handoffs collapse into hours.
Maintain compliance from day one
FAVES screens inline at every stage — not as a post-process that kills late-stage candidates. Audit trails are built in, not bolted on.
Fit into your existing stack
Warehouse connectors, SSO, and custom integrations mean the engine fits into your environment — not the other way around.
We respond within one business day.
Design your engine deployment
Describe your pipeline and team. We'll scope a pilot deployment.