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Plans & Pricing
From Pilot to Production
Pricing that scales with your project.
Every engagement starts with a scoped pilot and a clear ontology plan. No seat fees. No per-query meters.
Program
1 custom ontology
Capped document volume
Guided ontology setup
Support during business hours
Deployment
Multiple worspaces & ontologies
Custom document ingestion
Custom ontology model
Cloud or VPC deployment
SSO, SAML, audit logs, SIEM export
99.9% uptime SLA, dedicated CSM
Everything in Enterprise
Embedded ontologists
Graph engineering hours
Quarterly ontology refresh
On-prem and air-gapped available
Dedicated engagement lead
What is in each tier
Trusted by leading teams processing thousands of documents every month.
Frequently Asked Questions
Yes, this is how most of our customers start. Pilot terms convert into Enterprise agreements with pilot fees credited against the first year's license. No rebuild of your ontology or workspace is required.
VPC is available on Enterprise. On-prem and air-gapped deployments are available on Enterprise + Expert Services, including for sovereign-cloud requirements. Our team handles installation and lifecycle, you do not need in-house graph-database expertise.
Annual invoicing against a PO by default. Multi-year agreements and custom billing cycles are supported on Enterprise. On the + Services tier, platform license and services hours are billed as separate line items so services procurement can approve them independently.
Perseus is the graph infrastructure layer underneath Lettria. You do not interact with it directly on the Lettria platform, but its reliability is the reason Lettria's accuracy and explainability hold up in production. If your platform team also wants SDK-level access to build custom knowledge graphs, see Perseus ↗.
SOC 2 Type II, GDPR (with DPA), and ISO 27001. HIPAA-ready configuration and EU AI Act-aligned controls are available on Enterprise and above. Full compliance documentation including pen-test summaries is available under NDA on the Security and trust page ↗.
A typical engagement opens with a two-week ontology sprint, followed by graph build over 6 to 12 weeks, then ongoing refresh cycles. Our ontologists work embedded with your subject-matter experts, not at arm's length, and transfer knowledge as they go so you are not locked in.
Documents and derived graph data are retained for the duration of your contract and deleted within 30 days on request or on termination. Audit-log retention is configurable on Enterprise to match your internal compliance window.
Data is stored in the region you select (EU, US, or custom for Enterprise) and never leaves it. Your documents, your ontology, and your queries are never used to train our models or any third-party model. Our DPA contains the full commitment in writing.