Operal builds compliant, source-grounded AI, loyalty and blockchain systems for pension funds, banks and enterprises — Swiss-hosted, audit-ready, engineered to institutional standards.
We designed and deployed a fully-compliant AI chatbot for one of Switzerland’s largest pension funds — and it won the SonntagsZeitung / Finanz und Wirtschaft Innovationspreis.
With Operal’s AI solution, we can serve our members around the clock while maintaining the highest compliance standards. The Innovation Award validates our forward-thinking approach.
— Johana Gasser, ASGA Pensionskasse
The solution handles thousands of member inquiries 24/7 under strict regulatory compliance — source-grounded, validated before every answer, and fully auditable.
Frontier technologies, taken out of the lab and turned into systems that pass an institution’s due diligence.
Real client work across AI, GeoAI, loyalty and conservation — each built to pass the institution’s own compliance and audit bar. A selection; more to follow.
Type any Swiss municipality and get its live heat-and-drought picture: temperature anomaly vs the 1991–2020 norm, heat days, water balance, a drought quadrant and #ShowYourStripes warming stripes — all from official ERA5, swisstopo, BAFU and MeteoSwiss data.
A candy-crush-style match-3 game for the Swiss retailer Migros: the brand woven into a mechanic people already love — reaching ~5% of Switzerland, played ~4× a day in 14-minute sessions, with Tell-a-Friend, leaderboards, loyalty points, serialised QR codes and consented first-party data.
An AI agent that turns open Swiss satellite and LiDAR data into plain-language answers about any forest — ask a question, get a real map and a 3D terrain fly-over. No GIS required.
A donor-facing platform that detects individual trees in Namibia’s Zambezi region from satellite data, lets you adopt and name one, and follow its health for years — with an auditable, source-disclosed digital MRV trail.
A multilingual AI ranger for a protected Swiss moor landscape, grounded in live weather, transport, terrain and protected-zone data — answering safety and rule questions in the visitor’s own language, on their own phone.
An early-warning cockpit for ranger services that fuses public social-media signals with a live heat-and-drought climate lens over the same protected area — so crowding and risk are visible before they arrive.
The reason regulated institutions trust us with AI: compliance and control are the architecture, not an afterthought.
Your data stays in Switzerland, on Swiss cloud infrastructure — with a path to local open-weight models on dedicated Swiss GPUs.
Full compliance with EU GDPR and the Swiss Data Protection Act, plus BFSG accessibility, designed in from day one.
No vendor lock-in. Full data ownership, exportable at any time. Live data stays in your system of record.
Every answer is source-grounded, traceable and auditable. Append-only, hash-chained logs for every state change.
Every engagement starts from the operating reality of the sector — its regulation, members and risk tolerance.
Award-winning compliant member service and gamified engagement — with full data sovereignty.
Regulatory-change tracking, media monitoring and DLT infrastructure built to survive a risk committee.
Loyalty, ops-intelligence agents and Web3 that plug into your stack and scale to millions of customers.
Source-grounded chatbots for agencies and member organisations — no hallucinations, no wrong links.
A deliberate path from frontier idea to institution-ready system.
We map the technology to your sector’s real constraints — regulation, members, risk and your existing stack.
Production-grade builds with compliance, accessibility and Swiss hosting designed in from the first line.
We stay on for measurement, iteration and scale — from pilot to enterprise rollout.
Take our 2-minute Jurisdictional-Readiness check. Get an instant, tailored read on your best first use case — and how fast it could reach production.
Thirty minutes with our founding team is the fastest way to see whether Operal is the right partner.