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AI & automation studio · Basel, Switzerland

AI and automation, built around the problem your business actually has.

We find the work that slows your team down, prove a fix on your real data, and ship it into the systems you already run. For five-person businesses and global teams alike.

Book a discovery call See what we build
  • 01 Proof of concept in weeks
  • 02 People stay in control
  • 03 Swiss & EU data protection in mind
  • 04 From idea to production

01Where we help

The problems we are usually called in for

Most businesses do not need “an AI strategy”. They need a stubborn, expensive problem solved. These are the ones we see most often.

  1. A

    Manual work that does not scale

    Re-keying data from emails and PDFs, copy-pasting between systems, building the same report by hand every week.

  2. B

    Knowledge locked in documents and heads

    The answers are in contracts, tickets and manuals, but finding them takes a search, a phone call and a wait.

  3. C

    AI pilots that never reach production

    The demo impressed everyone. Six months later it is still not part of anyone’s working day.

  4. D

    Systems that do not talk to each other

    CRM, ERP, inbox and spreadsheets each hold part of the truth, and people are the glue between them.

02Services

AI, agentic and automation solutions, end to end

From the first workshop to software running in production. Take one service or all of them: each one stands on its own.

  • 01

    AI & agentic solutions

    Assistants and agents that read, decide and act inside your workflows, with a person approving what matters.

    • Document and email understanding
    • Agents that use your tools and APIs
    • Search and answers over your own knowledge (RAG)
    • Human-in-the-loop review steps
  • 02

    Workflow automation

    The repetitive steps between your systems, handled reliably in the background, so your team works on exceptions.

    • Process mapping and quick wins
    • Integrations between CRM, ERP, inbox and spreadsheets
    • Scheduled reports and alerts
    • Monitoring and error handling
  • 03

    Proof of concept

    Test the idea on your real data before you commit a budget, with a clear answer at the end: build it, change it, or stop.

    • Fixed scope and timebox
    • Working prototype on your data
    • Agreed success metric
    • Go / no-go with a build estimate
  • 04

    R&D and innovation

    Find out what new models make possible for your business, with experiments that answer a business question.

    • Model and vendor evaluation
    • Benchmarks on your own use cases
    • Research prototypes
    • Feasibility and risk reports
  • 05

    Product & software engineering

    Complete products built end to end: web apps, APIs, data pipelines and the AI inside them.

    • Web and SaaS applications
    • APIs and data pipelines
    • Cloud set-up and CI/CD
    • Security and privacy by design
  • 06

    Tech consulting & AI strategy

    An honest view of where AI pays off in your business, and where it does not, from people who build it every day.

    • AI readiness and opportunity map
    • Architecture and build-vs-buy reviews
    • Fractional CTO support
    • Team workshops and enablement

03Approach

Small, measurable steps from idea to production

Every engagement starts small and earns the next step with evidence. You can stop after any phase and keep everything we built.

  1. 1–2 weeks

    Discover

    We sit with the people who do the work, map the process and the data, and pick the problem worth solving first.

    You get An opportunity map with value and effort for each idea.

  2. 2–6 weeks

    Prove

    A working proof of concept on your real data, measured against the success metric we agreed up front.

    You get A prototype, the results, and a go / no-go recommendation.

  3. Scoped per project

    Build

    Production-grade software inside your existing tools, with tests, monitoring, access control and documentation.

    You get A deployed solution your team can own.

  4. Ongoing

    Run & improve

    We watch the numbers, tune models and prompts as they change, and extend what works to the next process.

    You get Regular reports and a living roadmap.

04Case study · Our own product

Manor Office: the private office platform for families

Single family offices run staff, properties, contracts and paperwork across spreadsheets, inboxes and a few people’s memory. We designed and built Manor Office to bring all of it into one private place.

What we built

  • A secure web app for staff, properties, contracts, documents and a wealth overview
  • AI that reads incoming paperwork and pulls out the facts that matter
  • Deadline and renewal reminders, so notice periods are not missed
  • A tailored set-up for each family, hosted in Frankfurt, EU
End to end
Research, product design, engineering and launch
AI inside
Document reading and deadline detection
EU-hosted
Frankfurt data centre, privacy by design

It is the same approach we bring to client work: start from a real problem, prove the AI part early, and ship a product people use every day.

Visit manoroffice.com

05Engagements

Ways to work with us

Scope and price are agreed up front for every engagement. Most clients start with a discovery sprint or a proof of concept.

  • Discovery sprint

    Find out where AI and automation pay off.

    • Workshops with your team
    • Process and data review
    • Prioritised opportunity map
    • Fixed scope and price

  • Most common start

    Proof of concept

    Test one idea on real data, fast.

    • Timeboxed, fixed scope
    • Working prototype
    • Agreed success metric
    • Build estimate and plan

  • Build & scale

    Ship to production and keep improving.

    • A dedicated senior team
    • Weekly demos
    • Production deployment
    • Support and improvement

  • Advisory

    Senior tech advice when you need it.

    • AI strategy
    • Architecture reviews
    • Vendor selection
    • Fractional CTO

Talk about your project

06Who we work with

From small businesses to large enterprises

  • Small businesses

    Automate the busywork so a small team can serve more customers without hiring for admin.

  • Mid-sized companies

    Connect the systems and processes that grew up separately, and give people one reliable view.

  • Enterprises

    Move AI pilots into production safely, inside your existing security, governance and IT landscape.

07How we work

Principles we do not trade away

  1. 01

    Problem first, not hype

    We start from the process and the numbers. If a simple rule or a spreadsheet solves it, we will tell you.

  2. 02

    Prove it before you scale it

    Every engagement starts small and measurable, so budget follows evidence, not enthusiasm.

  3. 03

    People stay in control

    Agents propose, people approve where it matters, and every automated action is logged.

  4. 04

    Your data stays yours

    We design with the Swiss FADP and the GDPR in mind and choose hosting and models to fit your requirements.

  5. 05

    Model-agnostic

    Commercial or open source, cloud or on-premises: we pick the model that fits the job, the budget and the data.

  6. 06

    Built to be owned

    Clean code, documentation and a proper handover, so your team can run it without us.

08FAQ

Frequently asked questions

What does Pivora Labs do?

Pivora Labs is an AI and automation studio in Basel, Switzerland. We build AI, agentic and automation solutions that solve core business problems, from proofs of concept and R&D to production software, and we offer tech consulting and AI strategy.

What is an agentic AI solution?

An agentic solution is AI that does not just answer questions but completes steps of a task: it reads an email or document, decides what to do, uses your tools and systems, and drafts the result. In our solutions, a person approves the steps that matter, and every action is logged.

Do you work with small businesses?

Yes. We work with small businesses, mid-sized companies and enterprises. For smaller teams we usually start with a short discovery sprint or a single automation that pays for itself quickly.

How long does a proof of concept take?

Typically two to six weeks, depending on the data and systems involved. The scope, the timebox and the success metric are agreed before we start, and you get a clear go / no-go recommendation at the end.

Can you work with our existing systems?

Yes. Most of our work connects to what you already use, such as CRM and ERP systems, email, document storage, databases and spreadsheets, through their APIs or standard integrations. We do not ask you to replace tools that work.

Which AI models and tools do you use?

We are model-agnostic. We choose between commercial and open-source models, cloud and on-premises hosting, based on accuracy on your use case, cost and your data protection requirements.

What happens to our data?

Your data stays yours. We design with the Swiss Federal Act on Data Protection (FADP) and the GDPR in mind, sign a confidentiality agreement on request, use only the data a task needs, and choose hosting regions and model providers that fit your requirements.

How is pricing structured?

Discovery sprints and proofs of concept have a fixed scope and price. Build projects are scoped and priced per project, and advisory work is available as a monthly retainer. You always know the cost before work starts.

Where are you based, and do you work remotely?

We are based in Basel, Switzerland, and work with clients in Switzerland, Germany and across Europe, remotely and on site.

09Contact

Tell us the problem. We will tell you honestly if AI is the answer.

A few lines about the process, the systems involved and what it costs you today are enough to start. No preparation, no sales deck.

Email us about your project

Office
Basel, Switzerland

What happens next

  1. 01 We reply within two business days.
  2. 02 A 30-minute call to understand the problem and the data.
  3. 03 A short proposal for a discovery sprint or proof of concept, with scope and price.