Services
We sell the outcome
The tooling changes per engagement, so we quote the result instead. Below is what we build and what each one is for.
01 Services
What we build
Six offers, one method. We find where AI pays off in your business, then we build the thing that collects it.
- 01
AI operating systems
One system that knows the business and runs it. Shared memory, shared integrations and shared logic, so every workflow reaches the same knowledge.
Flagship - 02
AI audits
We find where AI pays off in your business, and what it is worth. You get a ranked list of opportunities with an estimated value against each one.
Advisory - 03
GEO audits
We measure how visible you are when a customer asks an AI assistant about your industry. Then we fix the reasons you are not being cited.
Visibility - 04
Process automation
Your repetitive workflows run without anyone touching them. A machine runs the handoffs that sit in someone’s inbox today.
Operations - 05
Omni-channel chatbots
One assistant answers your customers on social, web and messaging. It shares a single knowledge base, so the answer is the same wherever the question arrives.
Customer - 06
24/7 voice secretaries
A voice agent picks up at 3am, qualifies the caller and books the slot. Calls that used to go to voicemail turn into appointments in your calendar.
Voice
02 Method
Advise, then build
- 01
Audit
We map where the hours go and where AI pays off. You leave with a ranked list of opportunities and an estimated value against each, whether or not you build with us.
- 02
Scope
We pick the deployment model and the layers the build has to touch. We settle the data questions here, before any code exists.
- 03
Build
We build the smallest system that delivers the outcome, then extend it. You see working software early.
- 04
Hand over
You get documentation, governance rules and defined ownership. The system is yours to run, and we stay reachable when you want it extended.
03 Deployment
You decide where your data lives
The same system ships three ways. Your data constraints decide which one you pick.
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Local
Everything runs on your own machines.
Messages, knowledge, embeddings and inference stay on your hardware. That is the simplest GDPR posture available: no processor, no transfer, no DPA. It costs speed, and the system runs only while the machine is on.
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Cloud
An agent on an EU server, running around the clock.
You reach it from anywhere, with no machine to leave switched on. It needs an EU-resident host and a data processing agreement, because the model provider becomes a subprocessor the moment personal data reaches it.
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Hybrid
Sensitive data stays home, everything else goes to the cloud.
We process sensitive records on your hardware and route everything else to the cloud agent, then keep the two in sync. You get the always-on surface without handing over the records that worry you.
Next step
Thirty minutes, no deck
Tell us what is eating your team’s hours. We will tell you whether AI is the answer, and say so plainly when it is not.