We turn any AI into trusted AI.

The Switzerland

of AI.

Think of VeriPrompt as the control tower for your AI. VeriPrompt coordinates the AI tools you connect, protects your sensitive data, and keeps your policies and costs under control.

It protects your data, sends each request to the right model and shows what AI really costs, while your teams keep the AI tools they already use. One management and trust layer instead of a stack of tools.

  • Protect. Your prompts and sensitive data stay yours. Personal data is replaced before a request reaches an AI provider and restored in the answer, so you keep all the smart functions without giving your data away.
  • Route. Every request goes to the best model for the job, by cost, quality, region and your compliance rules. If a provider fails, VeriPrompt switches automatically, and your AI keeps working.
  • Improve. Teams work with optimal & approved prompts, tested across providers, so you get the best out of the AI you already pay for.
  • Control. Your employees can use AI with confidence, because your rules and policies apply automatically. Your security, compliance and finance teams see how AI is used, what it costs today and where to save.
  • Save. Smart routing, optimized prompts, cost analytics and agent telemetry can cut your AI costs by up to 70%.

Trust. Compliance. Control.

VeriPrompt - Overview
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One PlatforM

Governance. Trust. Protection. Cost. Routing. Compliance.

Shield

The vault and defendor

  • Protection of sensitive information
  • Policy enforcement
  • Data & cyber security
  • Information sovereignty

Ranger

The smart AI routing policy engine

  • Policy design & management
  • Compliant routing
  • $$-Optimization
  • 24/7 Agentic-Telemetry

Studio

The workbench for AI teams

  • AI & agent design and testing
  • Team collaboration
  • Approval & audit trails
  • Prompt libraries

Sherlock

AI cost intelligence & analytics

  • AI cost centre
  • Reporting
  • Forecasts
  • What-if simulations

Guru

The AI compliance gateway

  • Compliant AI access
  • Policy-enforcement
  • Perfect prompts
  • Automated protection
Smart Routing

AI Gateway

Smart & compliant AI routing 

  • Automatic cost-optimal routing
  • 300+ AI models
  • Right model for each task
  • Full control & compliance

Try yourself and see how it works.

Illustrative simulation. No customer data.

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Trust & protection

Protect sensitive information. Keep oversight.

VeriPrompt is your independent governance, trust and compliance layer. It protects sensitive data. Enforces your policies. Controls your AI spending across your organisation.

VeriPrompt inspects what reaches connected AI providers. Our SHIELD module replaces detected sensitive information with surrogates so your teams can work with greater confidence.

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Review sensitive-data handling

Inspect detected values and the sanitized provider view.

Retain provider independence

Keep supported provider choices aligned with your organization’s requirements.

Inspect recorded activity

Understand the available usage and audit records. Document deployment, retention and what the controls cover.

The AI costs you can save.

Organisation-wide savings

Gross saving / month—
Gross saving / year—
Per employee
—/ month
—/ year

Illustrative gross savings; assumes all entered spending is optimisable.

Calculation assumptions

At 100% optimisation, this scenario assumes a 70% saving. All entered spending is assumed optimisable.

Effective assumed saving rate: —

Illustrative scenario based on your inputs and editable assumptions. Savings are gross, before VeriPrompt fees and implementation costs. Subscription savings require reducing or replacing the relevant subscriptions.

  1. Right model. Right cost. Match each task to a suitable provider and model for its quality, policy and cost requirements.
  2. Leaner prompts. Less token waste. Reduce unnecessary prompt content and repeated context while preserving task quality.
  3. Visibility into AI and agent usage. Identify expensive workflows, repeated calls and inefficient agent loops, then act on those findings.
  4. Find waste. Control spending. Identify avoidable usage and redundant spending, supported by cost visibility and budget controls.

These explain how optimisation can help; they are not additive savings claims or a feature activation sequence.

Potential monthly gross saving
spend * (optimisation / 100) * (max_saving / 100)
Potential annual gross saving
monthly * 12
Per employee / month
monthly / employees
Per employee / year
annual / employees

The AI costs you can save.

Organisation-wide savings

Gross saving / month—
Gross saving / year—
Per employee
—/ month
—/ year

Illustrative gross savings; assumes all entered spending is optimisable.

Calculation assumptions

At 100% optimisation, this scenario assumes a 70% saving. All entered spending is assumed optimisable.

Effective assumed saving rate: —

Illustrative scenario based on your inputs and editable assumptions. Savings are gross, before VeriPrompt fees and implementation costs. Subscription savings require reducing or replacing the relevant subscriptions.

  1. Right model. Right cost. Match each task to a suitable provider and model for its quality, policy and cost requirements.
  2. Leaner prompts. Less token waste. Reduce unnecessary prompt content and repeated context while preserving task quality.
  3. Visibility into AI and agent usage. Identify expensive workflows, repeated calls and inefficient agent loops, then act on those findings.
  4. Find waste. Control spending. Identify avoidable usage and redundant spending, supported by cost visibility and budget controls.

These explain how optimisation can help; they are not additive savings claims or a feature activation sequence.

Potential monthly gross saving
spend * (optimisation / 100) * (max_saving / 100)
Potential annual gross saving
monthly * 12
Per employee / month
monthly / employees
Per employee / year
annual / employees

AI risk management

The AI risk most companies don't see

Many companies either trust AI providers blindly or ban AI altogether, and both leave the door wide open. Those who trust send client files, contracts and personal data to providers whose terms, data locations and training practices they have never checked. Those who ban assume the risk is gone, but their employees still use AI, just out of sight.

That shadow AI is everywhere: unregulated, unmonitored and uncontrolled. To use a private ChatGPT or Claude account, employees first move company data onto their own phones and laptops, devices that can be hacked, lost or shared with family members. A ban doesn't remove the risk; it adds another layer and takes away your view of it.

VeriPrompt turns this around: let your teams use AI openly, with your data protected and your rules applied, so nobody has to work around you.

Which safeguards do you have in place? Select only those you can verify.

Consider what you share with AI and what a leak could mean, then select your verified safeguards.

Your AI exposure score is illustrative. It is not a compliance verdict or a prediction of incidents; a low score does not mean no risk.

How we estimate your risk

The first slider describes the sensitivity of information sent to AI tools; the second describes the consequences of a leak or misuse. A low setting on the first slider cannot erase severe consequences: its weighting has a 50% floor. Only verified safeguards earn protection credit. Corporate and internal AI systems overlap, so we count the stronger credit, not both. Remaining exposure has a 10-point floor. This is an illustrative index, not an incident probability or compliance verdict.

Your AI exposure score is illustrative. It is not a compliance verdict or a prediction of incidents; a low score does not mean no risk.

A ban alone may leave you unaware of actual use. An approved, governed option can help you address AI use outside your policy.

Your team uses governed AI subscriptions (20)
Count this only if you centrally manage access, approved tools and data-handling policies across the relevant workflows.
Your team uses a governed internal AI system (30)
Count this only if you can verify how access, data flows and usage are governed. Internal hosting alone is not enough.
You protect sensitive data before sending it (30)
Count this only if your protection is enforced and tested across the relevant workflows. Owning protection software alone is not enough.
You prevent work through private AI accounts (30)
Count this only if you have technical controls and monitoring. A policy or assumption alone is not enough.

Your verified protection: —. If you use both corporate and internal AI systems, we count only the stronger verified safeguard.

    Impact floor: 20. Exposure floor: 10.

    Low: 0–24. Elevated: 25–49. High: 50–74. Very high: 75–100.

    Impact
    impact_floor + (100 - impact_floor) * sensitivity / 100
    Risk
    impact * (50 + data / 2) / 100 * exposure / 100

    AI risk management

    The AI risk most companies don't see

    Which safeguards do you have in place? Select only those you can verify.

    Consider what you share with AI and what a leak could mean, then select your verified safeguards.

    Your AI exposure score is illustrative. It is not a compliance verdict or a prediction of incidents; a low score does not mean no risk.

    How we estimate your risk

    The first slider describes the sensitivity of information sent to AI tools; the second describes the consequences of a leak or misuse. A low setting on the first slider cannot erase severe consequences: its weighting has a 50% floor. Only verified safeguards earn protection credit. Corporate and internal AI systems overlap, so we count the stronger credit, not both. Remaining exposure has a 10-point floor. This is an illustrative index, not an incident probability or compliance verdict.

    Your AI exposure score is illustrative. It is not a compliance verdict or a prediction of incidents; a low score does not mean no risk.

    A ban alone may leave you unaware of actual use. An approved, governed option can help you address AI use outside your policy.

    Your team uses governed AI subscriptions (20)
    Count this only if you centrally manage access, approved tools and data-handling policies across the relevant workflows.
    Your team uses a governed internal AI system (30)
    Count this only if you can verify how access, data flows and usage are governed. Internal hosting alone is not enough.
    You protect sensitive data before sending it (30)
    Count this only if your protection is enforced and tested across the relevant workflows. Owning protection software alone is not enough.
    You prevent work through private AI accounts (30)
    Count this only if you have technical controls and monitoring. A policy or assumption alone is not enough.

    Your verified protection: —. If you use both corporate and internal AI systems, we count only the stronger verified safeguard.

      Impact floor: 20. Exposure floor: 10.

      Low: 0–24. Elevated: 25–49. High: 50–74. Very high: 75–100.

      Impact
      impact_floor + (100 - impact_floor) * sensitivity / 100
      Risk
      impact * (50 + data / 2) / 100 * exposure / 100

      Have some fun.

      Avoid risks and collect token coins.

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