Take Control of
Generative AI

Nautylus helps organizations observe, govern and optimize generative AI usage across teams, applications, agents and models. Gain visibility over costs, enforce AI policies, protect sensitive data and orchestrate providers from a single control layer.

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Observe
Understand who uses which models, for which use cases, at what cost.
Govern
Apply enforceable AI policies across providers, teams and applications.
Optimize
Balance quality, cost and risk through intelligent routing and AI FinOps.
WHY NOW

AI is spreading faster than governance.

AI adoption rarely happens through a single strategic program.

It starts with a copilot. Then an internal assistant. Then a SaaS platform. Then an AI agent.

Each initiative makes sense individually. Together, they create an AI landscape that few organizations can fully observe, govern or control.

01

Fragmented AI Usage

Teams adopt different providers, models and tools independently, creating a growing AI portfolio without centralized visibility.

02

Unpredictable Costs

Consumption-based pricing makes spending difficult to forecast and attribute across teams, projects and applications.

03

Limited Control

Policies often exist on paper but remain difficult to enforce consistently across real-world AI usage.

THE CONTROL PLANE

One simple integration.
Full Control.

Nautylus sits between enterprise applications and AI providers to make every AI interaction observable, governable and optimizable.

No application refactoringMulti-provider orchestrationCentralized governanceUnified observabilityAI cost attributionCompliance controls
ENTERPRISE APPLICATIONSAI MODELS & PROVIDERS
EngineeringApps & CopilotsFinanceAnalytics & ToolsLegal & RiskDocument AIProductInternal AssistantsData & BIPipelines & ModelsTHE CONTROL PLANENAUTYLUSObserve · Govern · OptimizeGPT-4oOpenAIClaude 3.5AnthropicMistral LargeMistral AILlama 3.1Self-hosted2000+ models125+ providers
WHAT NAUTYLUS MAKES VISIBLE

Questions every AI leader asks.

The first step is not restricting AI usage. It is understanding it.

Which models?

Do you know which models and providers are actually being used? Who decides which ones are approved?

Which costs?

Where does your LLM bill come from, which teams are driving it up, and how can you prevent overruns before month-end?

Which risks?

What sensitive data is leaving your organization through your LLMs, and how can you detect and block it in real time?

Which teams?

Which teams, projects and use cases are behind your LLM bill?

Which quality?

Are higher costs actually producing better outcomes?

Which compliance gaps?

Do your LLM use cases comply with GDPR and the AI Act? Can you prove it in an audit?

OBSERVE

Understand AI usage beneath the surface.

Create a consolidated view of AI activity across teams, products, providers and environments.

GOVERN

Turn AI policies into operational controls.

Move from recommendations and documentation to enforceable governance.

OPTIMIZE

Reduce waste without reducing value.

AI optimization is not about spending less.

It is about spending intelligently.

Consolidated Visibility

See who uses which models, for which use cases, at what scale and at what cost.

Usage Attribution

Allocate AI consumption to teams, products, assistants, agents and business initiatives.

Provider Inventory

Maintain a real-time inventory of providers, models, versions and configurations.

Operational Monitoring

Track latency, failures, throughput and usage trends across the organization.

Model Governance

Define which providers and models are allowed for each project, team or use case.

Policy Engine

Apply rules based on data sensitivity, provider, geography, business domain or risk level.

Traceability

Maintain a complete audit trail of AI decisions, interactions and policy enforcement.

Compliance Controls

Support GDPR requirements and prepare for AI Act governance obligations.

AI Cost Attribution

Understand costs by provider, project, team, application and environment.

Budgets & Guardrails

Create budgets, alerts and automated controls before costs become problematic.

Intelligent Routing

Direct requests toward the most appropriate model based on cost, quality and governance constraints.

Continuous Optimization

Identify savings opportunities while maintaining performance and user experience.

OBSERVE

Understand AI usage beneath the surface.

Create a consolidated view of AI activity across teams, products, providers and environments.

Consolidated Visibility

See who uses which models, for which use cases, at what scale and at what cost.

Usage Attribution

Allocate AI consumption to teams, products, assistants, agents and business initiatives.

Provider Inventory

Maintain a real-time inventory of providers, models, versions and configurations.

Operational Monitoring

Track latency, failures, throughput and usage trends across the organization.

GOVERN

Turn AI policies into operational controls.

Move from recommendations and documentation to enforceable governance.

Model Governance

Define which providers and models are allowed for each project, team or use case.

Policy Engine

Apply rules based on data sensitivity, provider, geography, business domain or risk level.

Traceability

Maintain a complete audit trail of AI decisions, interactions and policy enforcement.

Compliance Controls

Support GDPR requirements and prepare for AI Act governance obligations.

OPTIMIZE

Reduce waste without reducing value.

AI optimization is not about spending less.

It is about spending intelligently.

AI Cost Attribution

Understand costs by provider, project, team, application and environment.

Budgets & Guardrails

Create budgets, alerts and automated controls before costs become problematic.

Intelligent Routing

Direct requests toward the most appropriate model based on cost, quality and governance constraints.

Continuous Optimization

Identify savings opportunities while maintaining performance and user experience.

WHAT MAKES NAUTYLUS DIFFERENT

Beyond observability.

Most AI governance platforms tell you what happened. Nautylus helps influence what happens next.

Complexity Scoring

Evaluate request complexity before execution and route simple tasks to efficient models while reserving premium models for critical workloads.

Quality Evaluation

Measure output quality through heuristics and optional LLM-as-Judge evaluations to connect cost with actual business value.

Intelligent Model Routing

Automatically select providers and models according to organizational policies, quality objectives and budget constraints.

POLICY-DRIVEN AI

Apply configurable actions across sensitive data categories and governance rules.

ALLOW

The request passes through without modification. Use for trusted contexts, approved models and low-risk use cases.

COMPLIANCE

Built for AI governance and regulatory readiness.

The AI Act is arriving.
GDPR already applies.
Visibility is no longer enough.
Organizations need evidence, controls and traceability.

PII Detection & Protection

Detect, mask or block sensitive information before it reaches external providers.

AI Audit Trail

Maintain complete records of requests, models, policies, costs and outcomes.

Model Governance

Enforce approved provider and model lists across teams and projects.

Compliance Reporting

Provide reporting and evidence for security, compliance and governance teams.

WHO IT'S FOR

Designed for enterprise AI stakeholders.

CIO

Gain visibility and control over AI investments.

Head of AI

Govern providers, models and usage at scale.

CISO

Reduce data exposure and strengthen AI controls.

DPO

Support GDPR and AI Act readiness.

Enterprise Architect

Create a consistent AI operating model across the organization.

PLATFORM

Operational visibility across your AI ecosystem.

01

Cost Dashboard

Track spending by team, project, provider and model.

02

Model Inventory

Maintain a centralized inventory of all active AI providers and models.

03

Governance Policies

Define and enforce AI usage policies consistently across the organization.

04

Routing & Optimization

Control model selection, fallback strategies and budget-aware routing.

FOUNDERS

Built from real enterprise AI challenges.

Nautylus was created by experienced data and AI leaders who have spent decades designing, operating and governing enterprise platforms.

The product combines expertise in AI governance, FinOps, compliance and large-scale data architectures.

Founded byNicolas MinelleandFranck Bellenger.
AVAILABLE FOR SELECTED DEPLOYMENTS

The platform is operational.Let's discuss your generative AI governance strategy.

Nautylus is currently being deployed with selected partners and early adopters. We work closely with organizations that want to establish AI governance before usage scales further.

CIOs · CTOs · CDOs · CISOs · Heads of AI · Enterprise Architects

Request an Early Access Demo