Navige
Commercial Brief
A complete reference for sales conversations, partnership development, and customer engagement. Prepared for authorised commercial use.
Prepared
August 2026
Confidentiality
Commercial in confidence
Product
navige.ai
What Navige Is

Navige is AI security infrastructure. It sits between an organisation's AI tools — agents, API integrations, and employee-facing platforms like ChatGPT — and the actions those tools take. Every interaction is intercepted, logged, risk-assessed, and governed by rules the organisation sets. The result is a complete, auditable record of AI activity across the business, with the ability to block, flag, or approve actions in real time.

The core value proposition: complete visibility into what every AI is doing, and full control over what it is allowed to do — without rewriting existing code or replacing existing tools.

Navige is not an AI product. It does not generate content or make decisions. It is the control layer that governs AI products an organisation already uses, or is building. Think of it as the compliance and security function for AI — operating continuously, at machine speed, across every agent and model in use.

The Problem Navige Solves

Organisations are deploying AI tools and agents faster than their compliance, security, and legal teams can assess them. The result is a growing gap: AI is making decisions, sending data, calling APIs, and taking actions on behalf of the business — but no one has a complete record of what has happened or a mechanism to intervene when something goes wrong.

This creates specific, immediate risks:

Compliance exposure
  • EU AI Act mandates audit trails for high-risk AI systems
  • GDPR obligations apply to automated decisions involving personal data
  • ISO/IEC 42001 requires documented AI management systems
  • Financial services regulators expect explainability and human oversight
Operational risk
  • AI agents accessing systems they should not reach
  • Sensitive data sent to third-party models without masking
  • Employees using AI tools in ways that breach policy
  • No mechanism to stop or reverse a harmful AI action

The regulatory environment is moving quickly. The EU AI Act is now in force. The UK is developing its own AI legislation. Sector regulators in financial services, healthcare, and legal are actively issuing guidance. Organisations that cannot demonstrate governance and audit capability face both legal exposure and reputational risk.

How Navige Works

Navige operates as a transparent layer in front of any AI tool or API. Integration requires no architectural change to existing systems — customers point their AI traffic through Navige using a proxy URL, an SDK wrapper, or a browser extension for employee-facing platforms.

From that point, every AI interaction passes through the Navige governance engine:

Interception and logging
  • Every tool call, prompt, and response is captured
  • PII is detected and masked automatically before storage
  • Secrets and credentials are redacted at the point of intercept
  • A complete, timestamped audit log is maintained per tenant
Risk scoring and governance
  • Each call is scored against customer-defined rules in plain English
  • High-risk calls are blocked, flagged, or routed for human approval
  • Kill switches halt specific tools or agents instantly
  • Approval workflows route decisions to named individuals
Integration time is typically under one hour. Customers using the OpenAI API change one line — their base URL. Customers using Claude or Gemini use a dedicated proxy. A browser extension covers employee usage of consumer AI platforms with no IT deployment required per machine.

Logs are cryptographically anchored to the Polygon blockchain hourly, providing tamper-evident proof of compliance activity for regulators and auditors.

What the Product Covers
Observability
  • Real-time audit log across all AI agents and tools
  • Agent-level breakdown of activity and risk
  • Call volume trends and decision split analytics
  • Searchable, filterable log with full prompt and response data
Governance and control
  • Plain-English policy rules evaluated per call
  • Instant kill switches on any tool or agent
  • Human-in-the-loop approval workflows
  • Pending approval queue with email notification
Compliance
  • Blockchain-anchored log hashing (Polygon Mainnet)
  • Tamper-evident audit trail for regulators
  • PII masking and secret redaction at point of capture
  • Configurable data retention per plan
Integration
  • OpenAI-compatible proxy (10+ providers)
  • Anthropic and Google Gemini proxies
  • Python and JavaScript SDKs
  • Browser extension for consumer AI platforms
  • MCP protocol support for Claude Desktop
  • n8n community node
Who Buys Navige

Navige is purchased by organisations that are actively deploying AI and face accountability requirements — whether regulatory, contractual, or from their own board and risk functions.

By role — who initiates and approves the purchase
Head of Compliance / CCO
Needs a defensible audit trail before the regulator asks for one. Responsible for AI Act readiness and internal policy enforcement. Budget holder in regulated industries.
CISO / Head of InfoSec
Concerned with data leaving the organisation through AI tools. Wants visibility into what models are accessing and what information is being sent externally.
CTO / Head of Engineering
Building AI agents and needs observability tooling. Wants to ship faster without sacrificing the ability to audit and intervene.
Head of AI / AI Lead
Responsible for the AI programme. Needs a governance layer to satisfy internal risk committees and external stakeholders.
Head of Risk
Documenting AI risk for the board. Needs quantified evidence of controls in place — not a policy document, but operational proof.
Where to focus first — segments ranked by speed to close
Fastest to close

AI-native companies selling into enterprise

Seed to Series B companies whose product involves agents or LLM calls, and who are stalling or losing enterprise deals because buyers are asking governance questions they cannot answer. For this segment, Navige is not a cost — it is a sales enabler. The pain is revenue-linked and already quantified. Cycles are weeks, not quarters. The buyer is typically the founder, CTO, or whoever owns the security questionnaire.

Strongest long-term value

Mid-market regulated firms with active AI deployments

Financial services, insurance, legal, and healthcare organisations with 200–2,000 employees. Already deploying AI, already have a compliance function asking questions, not yet large enough to have bought a heavyweight GRC platform. Real budget, real urgency from the EU AI Act. Expect a longer procurement cycle than the segment above — security review, DPA negotiation, and stakeholder sign-off add time — but the contract value reflects it. Work these in parallel with the faster segment, not instead of it.

Highest leverage

Consultancies and implementation partners as channel

Firms running EU AI Act readiness, ISO 42001 implementation, or AI risk assessment projects. They identify the governance gap directly in client engagements and currently have no operational tool to recommend. Slower to activate than a direct sale, but a single partner relationship can produce multiple end customers and is the most efficient route into regulated sectors at scale. See Partnership Models for the commercial structure.

Individual and Small-Team Buyers

Beyond organisational buyers, Navige serves a growing segment of individual professionals who use AI tools in client-facing work and need to demonstrate responsible, auditable practice.

Freelance consultants
Independent consultants who use AI tools in client engagements and want a personal audit trail — both for their own records and to satisfy clients who ask about data handling.
Solo founders and small teams
Early-stage companies building with AI that need governance in place before approaching their first enterprise customer. The Free plan provides a starting point with no upfront cost.
Legal, medical and financial professionals
Practitioners who use AI tools in regulated work — drafting documents, research, client communications — and need to maintain professional standards around data handling and record-keeping.
AI-aware individuals
People who want visibility and control over their own AI activity — a personal audit log, PII masking, and the ability to set limits on what gets sent to external models.

The Free plan is permanent and requires no payment, making it a natural entry point for this segment. The browser extension — covering ChatGPT, Claude, Gemini, Copilot, Perplexity, and Poe — is the primary surface for individual users.

Pricing

Navige is priced by usage volume. All plans include the full product. Enterprise pricing is bespoke and includes custom SLAs, dedicated support, and extended retention.

Plan Price Monthly calls Agents Log retention Overage
Free $0 5,000 1 7 days
Starter $29/mo
Small teams, pilot deployments
100,000 3 30 days $5 per 10K
Growth $249/mo
Scale-up, active AI programmes
1,000,000 10 90 days $25 per 100K
Business $649/mo
Large organisations, high-volume agents
5,000,000 Unlimited 1 year $99 per 500K
Enterprise $20,000+/yr
Custom SLAs, dedicated support
Custom Unlimited Custom Negotiated

All prices in USD. Annual billing available at a discount. Enterprise contracts include a statement of work, dedicated onboarding, and SLA coverage. For volume arrangements or multi-year deals, contact the team directly.

Design partnerships. For strategic initial customers where a closer working relationship is appropriate, Navige offers design partnership arrangements outside the standard pricing above. These are structured agreements with defined deliverables on both sides — not a trial or a discount. If this is relevant to a conversation you are in, raise it directly with the founder.
Common Use Cases
Financial services

Governing AI agents in a regulated workflow

A fintech company has deployed AI agents that query customer accounts, draft communications, and initiate transactions. Navige logs every action, blocks any agent call outside approved parameters, and produces a blockchain-anchored audit trail for the FCA. The compliance team has a live dashboard rather than a quarterly review.

Legal and professional services

Client data protection across AI tools

A law firm's staff use ChatGPT and Claude for research and drafting. The Navige browser extension logs every prompt, masks client names and case references automatically, and alerts the CISO when sensitive terms appear. The firm can demonstrate to enterprise clients that their data is not being exposed to third-party models without controls.

Enterprise technology

Observability for a multi-agent product

A SaaS company is building a product that orchestrates multiple AI agents across customer workflows. They integrate Navige at the infrastructure level to give their own enterprise customers audit logs and governance controls as a feature — accelerating sales to regulated buyers who require documented AI oversight.

Higher education

Managing AI use across a university

A university's IT team deploys the Navige browser extension across staff devices. The dashboard shows which AI platforms are in use, which departments generate the highest volume, and where PII is being entered. The data governance team uses this to update policy with evidence rather than assumption.

Why Navige

The market for AI governance tooling is early. Most alternatives fall into one of two categories: heavyweight GRC platforms that require months to implement and are priced for large enterprises, or point solutions that address a single use case without connecting them.

Navige occupies a distinct position:

What sets Navige apart
  • Operational — governs actual AI traffic, not just policies on paper
  • Integrates in under an hour, no code change required
  • Covers agents, API calls, and employee browser usage in one platform
  • Blockchain-anchored audit trail, tamper-evident by design
  • Priced for growth-stage companies, not just enterprise
  • Plain-English rule definition — no configuration engineering required
Common alternatives and their gaps
  • GRC platforms: expensive, slow, document-focused, not AI-native
  • Model observability tools: cover ML pipelines, not AI agent actions
  • DLP tools: catch data at the network layer, miss the semantic context
  • Internal logging: captures calls but provides no governance or risk engine
  • Policy documents: state intent but create no operational controls
Partnership Models

Navige is actively developing its partner channel. We are interested in relationships that bring commercial scale, domain credibility, or access to regulated industry buyers. All partnership arrangements are agreed individually.

Referral
Introduce a customer who converts to a paid plan. No ongoing obligation — suitable for individuals, advisors, or organisations that encounter the use case naturally in their work.
Revenue share on closed deals
Reseller
Purchase Navige access and resell it to your clients as part of a managed service or compliance advisory engagement. Full product, your margin.
Wholesale pricing
Technology partner
Integrate Navige into your own platform as a governance or compliance layer. Suitable for AI tooling vendors, enterprise software companies, and developer platforms.
OEM / embedded licensing
Consulting partner
Recommend Navige to clients in the context of AI governance assessments, EU AI Act readiness projects, or ISO 42001 implementations. We support the sales process and provide technical resources.
Referral + co-sell
Strategic advisor
Contribute domain expertise, regulatory knowledge, or market access in exchange for equity or retainer. Suitable for senior individuals with credibility in compliance, security, or regulated industries.
Equity / retainer

Partnership terms are negotiated directly. To discuss a specific arrangement, contact the founder at the address below.

Buyer Context

The following reflects what surfaces consistently in early conversations with prospective customers — where organisations currently are, and where the pressure is coming from.

Organisations already under regulatory pressure, facing an upcoming audit, or losing enterprise deals over governance questions tend to move quickly — the decision timeline is driven externally, not by internal prioritisation.
What Organisations Typically Raise

The most common points raised by prospective customers during evaluation, with the relevant context on each.

"We already have logging in place."

Raw logging records what happened. It does not prevent problems, score risk, enforce policy, or provide a kill switch. Regulators are increasingly asking for proactive controls — not just historical records — and the distinction matters in an audit.

"We don't have AI agents yet — we're just using the APIs."

Direct API calls carry the same exposure. Every call to an external model sends data outside the organisation's control. Navige covers API traffic, browser-based usage, and agents in a single governance layer — the need exists regardless of deployment approach.

"This isn't a priority right now."

The EU AI Act is now in force. The question is not whether to implement governance but when — and the cost of doing so after a regulatory finding is considerably higher than before one. The Free plan removes any barrier to starting.

"We'd build this internally."

The governance logic — risk scoring, PII masking, policy evaluation, tamper-evident audit anchoring — takes months to build correctly and needs to evolve alongside regulation. Navige is maintained and updated as the regulatory landscape changes.

"We're not sure about routing our AI traffic through a third party."

Navige operates as a transparent proxy — traffic is forwarded to the intended model unmodified. The only addition is a logged record. All customers sign a DPA; enterprise agreements can include bespoke data handling provisions.

"The pricing feels high for our stage."

The Free plan covers 5,000 calls per month permanently with no payment required. Starter at $29/month covers most early-stage deployments. The relevant comparison is the cost of a regulatory finding, a data incident, or a lost enterprise deal against a governance gap.

Demonstrating and Evaluating Navige

A live demo environment is available at app.navige.ai — real log data, risk scores, and governance rules, accessible without an account. Prospects can see the product working in under two minutes with no setup.

The Free plan is available immediately at navige.ai via self-serve signup. It is permanent — not a trial — and covers 5,000 calls per month. This is sufficient for most organisations to complete a technical evaluation against their own infrastructure.

The typical evaluation path is: live demo → Free plan signup for integration testing → commercial conversation. All three stages are self-serve and require no involvement from the Navige team unless the prospect requests it.

For enterprise-level conversations or partnership discussions, all engagements go directly through the founder. Contact details are below.