Basic
For small pairing needs
Per userbilled per campaign
- Simple forms, few dimensions
- Weighted criteria & scoring engine
- Validation and manual changes on the platform
- Excel / CSV import and ready-to-use export
- Swiss hosting, LPD / GDPR compliant
AI pairing engine — made in Switzerland
The right pairs,
right now.
A light, safe and configurable matching engine. You set the criteria and their weights — PAIRS forms the pairs that maximise overall relevance.
+Proven on 285 pairs at EPFL +LPD / GDPR compliant +Hosted in Switzerland
01 — About
Pairing by hand takes days.
PAIRS does it in hours.
The problem
- Matching mentors and mentees by hand takes days — and scales poorly.
- Criteria are many and hard to weigh: background, sector, goals, languages, availability.
- Existing tools are pricy, not privacy-safe, or reserved for large organisations.
- The result: sub-optimal matches and heavy follow-up.
Our response
PAIRS turns matching from an Excel bottleneck into an automated, traceable step.
- Weighted criteria, adaptable to each program — dimension by dimension.
- An optimisation engine that maximises the overall matching score, exact matches and preferences included.
- Validation and manual changes directly on the platform, with ready-to-use exports.
- Freedom in choosing the most adequate language model.
Case study — EPFL Alumni Mentoring Program, 9th edition
Where PAIRS was born and proven. Record participation.
0pairs formed
0participants — 287 mentees, 182 mentors
0%would recommend the program
0%find it useful or very useful
2025 participant survey · A second case is already on its way: preference-based matching, where each person submits three choices.
The logic goes beyond mentoring.
Wherever the right pair changes the outcome.
EPFL programs
Forum, MTE, VPI, Philanthropy — the first showcase.
Universities & alumni
Alumni offices and academic mentoring programmes.
Companies & HR
Onboarding, buddy programmes, internal mentoring.
Incubators & accelerators
Matching startups, mentors and experts.
Clubs & associations
Matching members across small structures.
Events & networking
Speed-meetings and themed matching.
Built by a pair, naturally.
Born at EPFL, engineered in Lausanne.
Yann Vallotton
Tech & development
Designs and builds the platform and the matching engine. System architecture & digital marketing.
Jordane Widmer
Product, operations & program
Leads the product, the programs and the relationship with users. 4+ years in communications, MSc in Economics.
Sovereignty first. Matching data is personal data. Processing and hosting in Switzerland — LPD & GDPR compliant — via EPFL infrastructure or trusted Swiss partners, with full freedom in choosing the language model.
02 — Pricing
Dimension by dimension.
A simple model: two plans, charged per user. The difference is how deep your matching goes.
Horizon
For important pairing needs with complex data input
Per userbilled per campaign
- Complex forms, high-dimensional profiles
- Preference-based matching — each person ranks choices
- Advanced weighting, traceability & exports
- Alumni-platform integrations, API in time
- Priority support & campaign reiteration savings
Both plans run on sovereign Swiss infrastructure — and you keep the freedom to choose the most adequate LLM.
03 — Contact
Let's form the right pairs.
Tell us about your program — cohort size, criteria, timeline. We answer within two working days.