Aggelion
You have an unusual technical problem. We know how to solve it, because someone already published the answer.
Architecture and specifications grounded in peer-reviewed science, for teams solving problems outside their expertise.
Domains we work in: real-estate tokenization, DeFi risk scoring, retrieval systems, L2 consensus design.
Contact: expert@aggelion.ai
Why Aggelion
92% of unusual engineering problems have a peer-reviewed answer. Finding it, adapting it to your constraints, and turning it into architecture your team can ship: that is the hard part. That is what we do.
- The solution to your technical problem exists in academic literature, but peer-reviewed papers do not come with implementation guides.
- Your team knows how to build, but this problem sits in a domain (tokenization, risk modeling, distributed consensus) where getting it wrong is not obvious until production.
- You have made the architecture call, but without someone who has read the literature, you cannot know if it is defensible.
How it works: three packages
01 · Spec
Describe what you are building. We find what science already knows about it and deliver a specification your team can act on. Artifacts: spec.md, formulas and edge cases, peer-reviewed citations, reviewed by a domain expert.
02 · Architecture
No clear problem yet? We dig into your business, map the constraints, and design the full solution: from data model to protocol to edge cases. Artifacts: architecture.md, data model, protocol design, threat model.
03 · Architecture + Oversight
Same as above, plus we stay through launch. We check that what your team built matches what was designed: technically, architecturally, and safely. Artifacts: launch audit, spec to code parity, safety review, go / no-go memo.
Selected domains
- Real estate, tokenization: valuation methodology for fractional, illiquid assets.
- DeFi, risk scoring: counterparty risk model under thin-liquidity regimes.
- L2, consensus: validator-set design with formal liveness guarantees.
We work under NDA more often than not. Anonymized case studies are added as clients clear them for publication.
Get in touch
Describe the problem in plain language. We will send you what the research says. No commitment, no sales call. Email expert@aggelion.ai.