Research
Intent-based AI, privacy-preserving by design.
Fixmeapp researches how a service booking platform can deliver accurate matching and personalization without surveillance — the foundations for an ethical data economy built on user consent and aggregated, privacy-preserving signals.
How can we help people find the right service based on their needs and intent — without compromising their privacy?
Active theses — 2026
Mission
Fixmeapp conducts early-stage research at the intersection of service bookings, user consent and ethical data economy. We explore how privacy-preserving intelligence can understand user intent without collecting unnecessary personal data, and without the hidden surveillance common to today's social platforms.
Our research spans four areas that together explore privacy-preserving, user-friendly and user-owned ecosystems. We collaborate with researchers, engineers and governance specialists across several regions — bridging academia and industry through practical projects that explore the future of ethical digital infrastructure.
Why we research
“Individuals are bypassed in the current data economy, which is strongly based on collecting from them.”
Koskinen et al. · 2023
Service discovery today is broken in five compounding ways. Our research starts from rebuilding it from the ground up — more private, more intuitive, more humane.
- Irrelevant search results
- Infinite scrolling between systems and platforms
- Unclear trust signals
- Inconsistent pricing
- Invasive tracking and profiling
How a contribution is proven
Eight signals, hashed eight times, into one verifiable root.
Pseudo-anonymized data is encoded in a SHA-256 Merkle tree. Buyers query the root for inclusion proofs — never the underlying data. Sellers can be rewarded; their identities stay sealed.
From the active ELTE × Aalto thesis · SHA-256 · pymerkle PoC
Four research areas
Our work spans four areas that together explore privacy-preserving, user-friendly and user-owned ecosystems.
Research partners
Fixmeapp collaborates with researchers, engineers and governance specialists across several regions. We bridge academia and industry through practical projects that explore the future of ethical digital infrastructure.
KTH Royal Institute of Technology
Stockholm, Sweden
Four active and recently-completed theses: dual-layer intention inference (in progress); privacy engineering architecture for a centralized data-sharing platform (in progress); a user-centered consent flow with a tested prototype (completed May 2026); and a predicate-based data-sharing system using OBDDs, benchmarked against ZKP (completed May 2026).
Aalto University
Helsinki, Finland
Co-supervising the active Ethical Data Economy thesis with ELTE on cryptographically verifiable, incentivized data contribution. Ongoing collaboration on the privacy-utility frontier.
Eötvös Loránd University
Budapest, Hungary
Hosting the active Ethical Data Economy thesis at the Faculty of Informatics — a Merkle-tree-based proof-of-concept for a privacy-preserving, ethically-governed data contribution system aligned with the FACT principles. Co-supervised with Aalto University.
Partnership & research inquiries
We work with universities, governance bodies, and independent researchers exploring privacy-preserving infrastructure for the next data economy.