Enterprise AI agent platform

One platform for every agent your enterprise runs.

Build, control and run AI agents with your own team. Securely, at scale, on any model. What you build is yours.

ISO 27001

GDPR

Built and hosted in the EU

On-premises available

Every agent you build runs on the same ship. Your team builds it. Your company owns it. That’s enterprise autonomy.

How it works

One architecture.

Every agent.

Your boundary · EU cloud, your cloud or on-premises
Interfaces

Where people reach your agents

WhatsAppPhoneWeb chatSMSEmailTeams+ any channel with an API
Models

Any model. Your keys or ours.

OpenAIAnthropicGoogleAzureVoice models+ your own model
Your agents

You define what they can do

Your process & rulesApprovals before actionsAgents calling agentsOutbound calls & messagesMemory across channelsHand over to a human+ any process you can describe
Your systems

Any system you already run.

MCPRESTOutlook calendarEmail+ your own API
Platform

Built for production

Live supervisionEvery conversation loggedChanges live in a minutePrompt historyWorks with GitISO 27001 · GDPR

01 · Build

Build once.

Reuse everywhere.

Prompts, models, tools and credentials are shared building blocks. Change one, and every agent that uses it changes with it. Swap anything, rebuild nothing.

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Any model. Any voice.

OpenAI, Azure, Google or Anthropic, and the speech-to-text and text-to-speech you choose, or realtime speech-to-speech. Switch with a setting.

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Any channel. Any language.

Start on WhatsApp, continue on a call, in every language the models speak. Same agent, same context.

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Any system.

Connect tools through MCP, any REST API, or thousands of apps through one endpoint.

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Agents that call agents.

One agent hands a task to another, in the foreground or in the background, and gets the result back.

02 · Control

Autonomy with a

Autonomy with a chain of command.

chain of command.

You define the process. The agent follows it, and knows when to stop and ask.

Candidate · WhatsApp

Offer ready for Utrecht. Send it?

Ruby → RecruiterWaiting for approval

Contract offer drafted. Approve it, or take over.

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Only what you allow.

Allowlists for tools, systems and phone numbers.

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Watch it live. Step in when you want.

See every conversation as it happens. A person can take over mid-conversation, on WhatsApp or a call, with the full context.

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Access that mirrors your organisation.

Roles at platform, organisation and project level. Service accounts keep working when people leave.

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Starts when something happens.

A message, a call, or an event in your systems. Your systems can also message an agent mid-conversation, and it acts on it.

03 · Keep it working

Engineered for

the unexpected.

Real operations are messy. Scotty is built for the moments that break other agents.

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The system answers mid-call.

A booking is confirmed while the customer is still talking. The agent tells them when it's polite, never over them.

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The system is slow.

The agent keeps the caller company while the tool runs. No dead air.

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The transfer fails.

The caller stays with the agent, which explains and offers another option.

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A session drops.

The platform detects it and recovers.

04 · Ship

Tested, versioned,

on record.

Agents are software. Run them with the same discipline: test, version, observe, improve.

Observer Monitoring
Agent activityService agent
Order status checked
Customer answered
Case closed
Recording outcome…

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Test before it goes live.

Try every change in the dashboard before a customer ever sees it.

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Every change versioned.

You always know which version of an agent is running, and what changed.

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See every run.

Every turn, tool call, cost and delay is recorded. Query your own data in SQL.

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Improve from real conversations.

Spot where an agent went wrong and fix it at the source. It gets better with every week in production.

Security and compliance

Built for teams

that get audited.

Designed for the questions your security team, auditors and DPO will ask. Before they ask them.

ISO 27001 and GDPR

Independently audited. Hosted in the EU by default, EU-only if you need it.

Your data never trains models

What you build, and the data behind it, stays yours.

Secrets stay secret

Credentials are never exposed, not even to admins.

For partners

One platform. Many clients.

Fully isolated.

Run every client in its own organisation, with its own data, roles and agents. Share what works across all of them, without ever mixing what shouldn't be.

Your partner workspace
3 clients
Built once · shared with every client
PromptsToolsModels
Never shared: data, roles, credentials
Retail client
Store hiring agent · WhatsApp · Voice
Live
Logistics client
Driver onboarding agent · Voice
Live
Healthcare client
Appointments agent · Webchat
In test
+
Add a client
Starts from what you already built
Gradient 1 - Blue

Hunkemöller × Scotty

From one country to eleven.

One agent, built to adapt.

Hunkemöller started with 180+ stores in the Netherlands. Today Bowy runs hiring in 11 European markets. It's the same agent, adapted to each country's compliance requirements and ways of working without rebuilding it, and connected to Workday and Outlook on WhatsApp and voice.

0

European markets

0%

Faster time-to-hire (NL)

Two ways

in.

Let Scotty build it.

Tell us the process. We design, run and improve the agents. You get the outcome, and everything we build stays yours.

Build it yourself.

Your engineers, our platform. Same tools, same controls, no waiting on us. Change an agent whenever you need to.

Pricing

Pricing you can

predict.

Pay for what your agents use. Bring your own model and the LLM costs you nothing extra. No black-box markup.

FAQ

Questions IT

will ask.

OpenAI, Azure OpenAI, Google and Anthropic, or your own keys. Switching model is a setting, not a rewrite.

Yes. Your engineers build on the platform with the same tools we use, or Scotty builds and runs the agents for you. Either way, what is built stays yours.

Yes, through MCP, any REST API, or thousands of apps through one endpoint. Integrations are configured for your setup, not plug-and-play.

Let's make room
for better work

You've read enough. Let's put one to work.

Let's make room for better work

You've read enough. Let's put one to work.

Let's make room
for better work

You've read enough. Let's put one to work.