Enterprise AI agent platform
Build, control and ship AI agents with your own team. Securely, at scale, on any model. What you build is yours.
How it works
One architecture.
Every agent.
Where people reach your agents
Any model. Your keys or ours.
You define what they can do
Any system you already run.
Built for production
01 · Build
Build once.
Reuse everywhere.
Prompts, models, tools and credentials are building blocks. Change one, and every agent that uses it changes with it.
→
Shared building blocks.
One prompt, tool or credential, used by every agent that needs it.
→
Any channel. Any language.
WhatsApp to a call, same agent, same context.
→
Any system.
MCP, REST, or your own API.
→
Any model. Any voice.
OpenAI, Azure, Google and Anthropic for language. Deepgram, ElevenLabs and Cartesia for voice. Change it in a setting.
02 · Control
You define what the agent can do. It does that, and asks before anything else.
→
Only what you allow.
Allowlists for tools, systems and phone numbers.
→
Watch it live.
Every conversation, as it happens, in the dashboard.
→
Starts when something happens.
A message, a call, or an event in your systems.
03 · Ship
Tested, reversible,
on record.
Agents are software. Run them with the same discipline: test, roll back, observe, improve.
→
Test before it goes live.
In the Testing Suite, or on the real number with a test group.
→
Go back to any prompt.
Earlier prompts are one switch away.
→
See every run.
Every turn, tool call, cost and delay. Query it in SQL.
select agent, count(*), avg(latency) from runs group by agent;
In production
Engineered for
the unexpected.
“Actually, can we do Thursday?”
The agent stops and listens.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.
Built for teams that
get audited.
ISO 27001 · GDPR
Independently audited
Your infrastructure
EU, your cloud or on-premises
Your data
Never trains models
Secrets
Never exposed
Public sector
Whitney takes witness statements with the Dutch Police, by voice or chat.
In a public pilot since September 2026.
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. What your team builds stays yours.
Yes, through MCP or any REST API, set up for your systems.
When your rules say so. The agent hands over to a person, and everything it did is on record.
In the dashboard, or on the real number with a test group, before anything reaches production. Earlier prompts stay saved, so you can switch back.
Role-based access control at organisation and project level. Integrations run on service accounts, so removing someone’s access never breaks them.
No. Your data is never used to train models, and LLM providers keep no copy of it.
In the Scotty EU cloud, your own cloud or on-premises.
No. The platform adds credentials to each call, so they never reach the model.
You can bring your own keys and pay your provider directly. Scotty’s fee is set out up front in your agreement.
