Bukti bahwa AI telah melakukan pekerjaannya: $LA mengubah setiap inferensi model menjadi tanda terima kriptografis

Proof of X · 2026-10-11T04:36:08.000Z

Tak seorang pun dapat memeriksa apakah model AI benar-benar melakukan pekerjaan yang diklaimnya — jaringan $LA dibangun untuk menjual bukti tersebut. BISNIS Lagrange Labs menjual pembuatan bukti sebagai layanan melalui Jaringan Pembukti ZK terdesentralisasi. Klien membayar bukti, sementara para pembukti mempertaruhkan $LA sebagai jaminan dan mengajukan penawaran dalam lelang untuk mendapatkan hak membuat bukti tersebut dalam tenggat waktu. Dengan demikian, permintaan akan bukti secara langsung mendorong permintaan terhadap token. Jaringan ini dioperasikan oleh lebih dari 85 operator berstandar institusi, termasuk Coinbase, Kraken, dan OKX, serta merupakan jaringan pembukti ZK pertama di industri yang siap digunakan di lingkungan produksi.

Nobody can check whether an AI model actually did the work it claims — $LA's network is built to sell that proof.
BUSINESS
Lagrange Labs sells proof generation as a service through a decentralized ZK Prover Network.
Clients pay for proofs, and provers stake $LA as collateral and bid in auctions to win the right to generate them within a deadline, so demand for proofs converts directly into demand for the token.
The network is operated by 85 plus institution-grade operators, including Coinbase, Kraken, and OKX, and was the first production-ready ZK prover network in the industry.
A second product, the ZK Coprocessor, lets smart contracts run complex queries over historical on-chain data and receive a cryptographic proof of the result, with no trusted middleman.
The third leg is DeepProve, a zkML system that gives every AI inference a cryptographic receipt proving the correct model ran on the correct input — released to the public in February 2026 and fully open-sourced in June 2026.
The open-source release disclosed that the system had already generated more than 12 million cryptographic proofs and verified more than 3 million AI inferences end to end over the preceding year.
The stated end market is AI compliance, AI finance, AI healthcare, and any enterprise where untrusted AI outputs now carry real-world risk.
TECHNOLOGY
DeepProve is a zero-knowledge machine learning library built for proving AI inference at production speed.
It benchmarks 54 to 158 times faster at proof generation than EZKL, the previous best open-source zkML alternative, with verification speed 671 times faster for multi-layer perceptrons and 521 times faster for convolutional neural networks.
In July 2025, Lagrange completed full inference of OpenAI's GPT-2 model on the protocol, becoming the first production crypto system to prove an entire large language model end to end.
The network positions itself as an infinite proving layer, generating proofs not just for AI but for ZK rollups, applications, coprocessors, and cross-chain interoperability.
A dedicated market mechanism, DARA, allocates proof work across provers through auctions, replacing the ad-hoc proving queues that limited earlier decentralized proof markets.
Proofs verify in milliseconds, on chain if desired, without exposing private model weights or input data.
SECTOR
Lagrange sits at the intersection of zero-knowledge infrastructure and verifiable AI.
The timing argument is built on published numbers: Stanford's 2026 AI Index documented 362 AI incidents in 2025, up 55 percent year over year, and McKinsey research indicates 71 percent of enterprise executives will not scale AI systems without proof of correctness.
The EU AI Act's high-risk AI obligations took effect on August 2, 2026, creating regulatory demand for auditable AI behavior in finance, defense, and healthcare.
The team is also building three next-generation proof types — proofs of training, proofs of fairness, and proofs of reasoning — none of which are in production yet, but which show the intended direction: verifying AI at every step of the pipeline.
COMPETITION
The direct zkML comparison is EZKL, the previous best open-source alternative, which DeepProve's benchmarks now beat by an order of magnitude or more on both proof generation and verification.
In the broader ZK infrastructure layer, Lagrange competes with other proof networks and coprocessor projects, but few combine a live production prover network with a zkML stack aimed at AI verification.
The open-source release in June 2026 was an explicit play to become the default proving layer that rollup ecosystems and modular networks plug into.
TOKENOMICS
Market cap is 13.38 million dollars with a fully diluted valuation of 69.35 million dollars, per CoinGecko data this run.
Circulating supply is 193 million $LA against a 1 billion total supply, meaning about 19.3 percent is unlocked.
The token carries a 4 percent annual emission rate to fund network sustainability.
Distribution is 34.78 percent to community and ecosystem, 25.39 percent to contributors, and 18.54 percent to investors.
No verifiable unlock schedule data found this run.
Not financial advice. DYOR.
$LA