AI built for security, scale, and sovereignty.
ManyLayers gives enterprise teams a single, auditable control plane for every model interaction — SaaS or fully air-gapped inside your own infrastructure. Security, governance, and deployment flexibility without compromise.
Providers routed
40+
Knowledge connectors
20+
Audit log retention
Custom
Deployment options
Cloud / Hybrid / Air-gap
Four commitments to enterprise-grade AI deployment.
Security: SSO & SCIM
SAML 2.0 and OIDC single sign-on integrated with your identity provider. SCIM-based user provisioning and deprovisioning keeps access in sync. Role-based access control scopes model access and budgets to teams, projects, and API keys.
Governance: Budgets & Audit
Per-team and per-key spend caps with real-time cost telemetry. Guardrails and PII firewall applied uniformly across all model endpoints. Immutable audit log for every model interaction — exportable to your SIEM or data warehouse.
Deployment Flexibility
SaaS cloud for fastest time to value. Hybrid for a mix of cloud frontier models and on-prem open-weight serving. Fully air-gapped for environments where no data can leave the network perimeter. All three modes use the same interface.
Support: SLA & Dedicated Engineer
Enterprise SLA with 99.9% uptime commitment. Dedicated solution engineer available during your business hours via a private Slack channel. Named technical account contacts for escalations and quarterly reviews.
Data never leaves your perimeter
All inference, embeddings, and audit events stay inside your VPC or on-premises environment. Zero outbound telemetry from us in self-hosted mode.
Audit-ready from day one
Every model request is logged with user, team, model, token counts, guardrail decisions, and cost — immutable, tamper-evident, and exportable to your SIEM.
Your keys, your costs
Provider API keys are stored in your secrets manager. No per-token markup on our side. Your bill goes directly to each provider at list rates.
“ManyLayers let us put a compliant AI layer in front of five different provider APIs without writing a single line of routing code. The audit log alone saved us three months of compliance work.”
Head of AI Engineering — Global Financial Institution
- OpenAI-compatible API — existing application code unchanged
- Air-gapped mode: no outbound connections required after install
- SSO, SCIM, RBAC out of the box — no custom identity integration
- Dedicated solution engineer embedded during rollout
- On-prem model serving with fine-tuning and curated model library
Everything your enterprise AI program needs.
PII & PHI Guardrails
Regex and model-assisted detection on every prompt and response. Block, redact, or alert on names, emails, SSNs, card numbers, and health identifiers before requests reach any provider.
Per-Team Budgets
Hard spend caps per team, project, or model alias. Real-time cost telemetry with configurable alert thresholds — no surprise invoices at month end.
Multi-Provider Routing
Fallback chains across 40+ providers. Canary splits, conditional routing by team or alias, and semantic caching to reduce redundant provider calls and cost.
Team Workspaces
Isolated team environments with dedicated knowledge bases, agent workflows, and model access policies — managed centrally from a single control plane.
Data Residency
All inference, embeddings, and audit logs stay inside your chosen region or on-premises environment. Air-gapped operation with zero outbound telemetry.
On-Prem Model Serving
Deploy Llama, Mistral, Qwen, Gemma, and other open-weight models on your GPUs via Kubernetes or dstack. Fine-tuning jobs and a curated model library included.