On the evening of 10 July, Yzi Labs announced a strategic investment in Aspecta. Below is a concise primer on how Aspecta uses AI to create on-chain standards and trust rails for the world’s least-liquid assets.

Team DNA: From Ivory Towers to Production Code
Aspecta was incubated in 2022 at Yale’s Tsai CITY.

• Chief Scientist: Steve Liu, former Chief Scientist at Tinder, Fellow of the Canadian Academy of Engineering.

• Co-founder: Jack He (ex-Tsai CITY, Tsinghua).

• Core crew: PhDs and engineers from Yale, Tsinghua, Berkeley and McGill with patents in AI and graph learning.
  The team’s pedigree is heavy on machine-learning papers and light on “crypto-native” fluff—precisely the mix needed to price assets no one else can.

The Pain Point: Locked Value, Locked Markets
Early-stage equity, vesting tokens, PE stakes, RWA—all sit off-exchange, untraded and therefore mis-priced.
Aspecta’s thesis: give these “closed assets” an on-chain life cycle—issue, price, trade—cutting information asymmetry and boosting capital efficiency.
Think of a seed-round SAFT that no VC dares dump post-TGE. Wrap it in a standardized, reputation-backed certificate and it can now price itself on a DEX.

Product 1: BuildKey – Life-Cycle Asset Wrappers
BuildKey mints ERC-20-like certificates that represent any illiquid claim.

• Pre-TGE shares, locked tokens, private-sale rights—all become tradeable instruments.

• Supports AMM, order book, auction or hybrid pricing.

• Assets can “graduate” from seed stage to public float without leaving the same contract lineage.

Traction: 25+ asset classes, 50 M+ USD in cumulative volume, proving that locked capital will pay for liquidity.

Product 2: Aspecta ID – AI-Driven Reputation Layer
If BuildKey is the wrapper, Aspecta ID is the notary.

• Scrapes GitHub commits, on-chain behavior, project contributions.

• ML models spit out dynamic reputation scores for developers, projects and asset issuers.

• 54 k+ GitHub-verified devs already hold an ID, turning “anon dev” risk into quantifiable trust.

Flywheel in Action

1. Dev pushes code → Aspecta ID scores reputation.

2. Project issues pre-TGE equity via BuildKey; the score underwrites the asset.

3. Investors price and trade the certificate; every trade feeds back into the reputation model.
   Result: liquidity and trust reinforce each other in a single loop.

Community & Traction

• 650 k+ registered users

• 54 k+ GitHub-verified developers

• 25+ asset classes live on BuildKey

• $50 M lifetime volume

The numbers are still early, but they hint at infrastructure-level network effects.

Bottom Line
Aspecta is stitching together AI reputation, asset tokenization and on-chain liquidity to bridge traditional capital and Web3. From a GitHub commit to a fully-tradable token certificate, the stack is already moving dollars—and it just got rocket fuel from Yzi Labs.