# Pivora Labs > Pivora Labs builds AI, agentic and automation solutions for small businesses to enterprises: proofs of concept, R&D, custom software and tech consulting from Basel, Switzerland. Pivora Labs (Pivora Labs GmbH) is an AI and automation studio in Basel, Switzerland. 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. ## Key facts - Website: https://pivoralabs.com/ - Category: AI, agentic AI and automation solutions; proof of concept and R&D; software engineering; tech consulting - Location: Basel, Switzerland; works with clients in Switzerland, Germany and across Europe - For: small businesses, mid-sized companies, enterprises - Highlights: Proof of concept in weeks, People stay in control, Swiss & EU data protection in mind, From idea to production - Contact: hello@pivoralabs.com, or https://pivoralabs.com/#contact ## 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. ### 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 ### 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 ### 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 ### 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 ### 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 ### 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 ## The problems we are usually called in for - 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. - 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. - AI pilots that never reach production: The demo impressed everyone. Six months later it is still not part of anyone’s working day. - 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. ## 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. - Discover (1–2 weeks): 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. - Prove (2–6 weeks): 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. - Build (Scoped per project): Production-grade software inside your existing tools, with tests, monitoring, access control and documentation. You get: A deployed solution your team can own. - Run & improve (Ongoing): 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. ## Case study: 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. - 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 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. https://manoroffice.com ## 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. Includes: Workshops with your team, Process and data review, Prioritised opportunity map, Fixed scope and price. - Proof of concept: Test one idea on real data, fast. Includes: Timeboxed, fixed scope, Working prototype, Agreed success metric, Build estimate and plan. - Build & scale: Ship to production and keep improving. Includes: A dedicated senior team, Weekly demos, Production deployment, Support and improvement. - Advisory: Senior tech advice when you need it. Includes: AI strategy, Architecture reviews, Vendor selection, Fractional CTO. ## Principles we do not trade away - 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. - Prove it before you scale it: Every engagement starts small and measurable, so budget follows evidence, not enthusiasm. - People stay in control: Agents propose, people approve where it matters, and every automated action is logged. - Your data stays yours: We design with the Swiss FADP and the GDPR in mind and choose hosting and models to fit your requirements. - Model-agnostic: Commercial or open source, cloud or on-premises: we pick the model that fits the job, the budget and the data. - Built to be owned: Clean code, documentation and a proper handover, so your team can run it without us. ## 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. ## Pages - [Home page](https://pivoralabs.com/): services, approach, case study, engagements, FAQ and contact - [Legal notice](https://pivoralabs.com/impressum) - [Privacy policy](https://pivoralabs.com/privacy)