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Nyra Health upskills engineers without lowering the product bar.
Senior AI engineers, embedded in your team, wiring AI into the systems off-the-shelf tools cannot reach, until it runs through how you actually work.
Customer stories
Named clients, real systems, outcomes you can check.
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Nyra Health upskills engineers without lowering the product bar.
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TimeTac built its own automations and put 54 of them on schedule.
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Speedinvest moves from AI access toward operational AI.
- European venture firm
- 10–20 hrssaved every week on operations
- Digital health company
- 4 hoursto lift a whole engineering team
- Integrations
- 2,000+systems we can reach
- Bench
- Senior onlyno juniors billed to your account
What you get
AI across the organisation, under your control.
Hours back from the processes that eat them, a record of every action for whoever has to sign it off, and people who get sharper instead of more dependent on us.
01 · Audit
Hours returned to your team.
Hours returned
Per month- Invoice intake118h
- Client onboarding64h
- Weekly reporting41h
- Dealflow research29h
Measured against how long each one took by hand.
02 · Delivery
Control you can show an auditor.
Audit log
Run 2481- 09:41Maria ran Invoice intakeStarted
- 09:41Read the finance driveGranted
- 09:42Drafted the ledger entryGranted
- 09:43Post the paymentHeld
- 09:44James approved the paymentSigned
- 09:44Export customer dataDenied
Every line attributable to a named person.
03 · Handover
Capability that stays in-house.
People who can build
31 of 41- Operations11/14
- Finance9/12
- Client services7/9
- Procurement4/6
Trained on your own work, in your own tools.
Runs in your systems, on your data, and none of it trains anyone else’s model.
Industries
Built for the work you already do. Tuned to your workflows, systems, and rules.
We work inside your stack, on your terms.
Our engineers reach the 2,000+ systems your company already runs, from BMD and SAP to Oracle and Salesforce, and everything they build stays inside your boundaries.
Connect the systems your company already runs
See the platform- BMD
- SAP
- Salesforce
- HubSpot
- Outlook
- Google Drive
- Slack
- Jira
- Confluence
- Notion
- GitHub
- Snowflake
Terms you can sign off on
How we work- You own the code and IP
- GDPR compliant
- Based in the EU
- We build in your repositories
- Your cloud, your data boundaries
- Humans review money and contracts
- Monthly notice, no minimum term
- No success fees
- Senior engineers only
- Handover is the deliverable
- Documented patterns and an owner
- English and German
From AI access to operational AI.
Team enablement, connected systems, and a dealflow intake workflow that removed an estimated 10–20 hours of manual work every week.
Venture capital / financial servicesAffinity CRM, ERP, email, notes, internal knowledge
Read case studyHow we work together
Four ways in. One standard.
- 01Rent an AI engineerA senior AI engineer embedded in your team for a fixed monthly fee. They sit in your standups, work in your repos, and ship into your systems.From EUR 4.500 / month
- 02TrainingA focused sprint with your leadership or your engineers: executive strategy, a hands-on deep dive, and a pattern playbook you keep.Leadership and engineers in the same room
- 03TechThe stubborn workflows and products you keep deferring, built alongside your team, from discovery through to production agents.Production agents shipping with your team
- 04TransformationEvery system, every team: a systems and data audit, integration architecture, and an adoption program that lands across the business.One governance layer across the business
The gap
Access to AI is not the same as running on it. Most companies stop at access.
Buying every team a chat subscription is the easy half. The value sits in the distance between that window and the work: the ERP, the CRM, the inbox, the approval nobody wants to own.
- A chat window everyone has access to
- A pilot that never left the pilot stage
- Agents wired into your ERP and CRM
- Review loops your compliance team signed off
- An internal owner who runs it without us
Principles
How we work, written down.
01
Senior people only
The person in your standup is the person writing the code. No pyramid, no juniors learning on your budget.
02
Production or it did not happen
A demo that cannot survive a real user is a slide. We measure an engagement by what is running when we leave.
03
Your systems, not ours
We build in your repos, your cloud, your data boundaries. Nothing here creates a dependency on us.
04
Humans stay in the loop
Every workflow that touches money, contracts, or customers keeps a review step. Autonomy is earned per process.
05
Handover is the deliverable
An internal owner, documented patterns, and a team that can extend the work without booking us again.
06
Monthly notice
No lock-in and no success fees. If the work stops being worth the fee, you should be able to stop it.
FAQ
Answers, before you ask.
What does renting an AI engineer actually mean?
You get a senior AI engineer embedded in your team for a fixed monthly fee. They join your standups, work in your repositories, and ship into your systems. There is no separate discovery phase to buy and no success fee at the end.
How long is a typical engagement?
Most start at one to three months and continue for as long as the work is worth the fee. The notice period is monthly, so you are never committed further than the month you are in.
What is a workstream?
One system or process being made AI-native at a time. Dealflow intake, ERP reporting, or a customer-facing agent are each one workstream. It is the unit that limits how much can run in parallel, which is why pricing is set against it.
Do you work in our codebase or your own?
Yours. We build in your repositories, your cloud, and inside your data boundaries. The engagement is designed so nothing we build depends on us continuing to be there.
What happens when the engagement ends?
Handover is the deliverable. You get an internal owner who has been enabled during the work, documented patterns, and systems your own team can extend without booking us again.
Which systems can you connect to?
Over 2,000, including ERP systems such as BMD and DATEV, CRMs such as Salesforce, HubSpot, and Affinity, plus the mail, storage, and knowledge tools around them. Where no connector exists we build one.
Are you based in Austria?
Yes. Specialty Tokens is a forward-deployed AI engineering firm based in Vienna, working across the EU, UK, and US, in English and German.
Let's talk about what you're building next.
Tell us which process is costing you the most, and we will tell you whether it is worth an engineer.
- EN
- Talk to us in English.
- DE
- Sprich mit uns auf Deutsch.