GenesisL1 ecosystemOPEN PROTOCOLS / CHAIN 29

GenesisL1 makes digital systems independently verifiable.

Build with durable data, deterministic models, programmable assets, autonomous agents, markets and public infrastructure on one composable Layer 1. Scientific protocols are a core domain—not the limit of what the network can support.

Digital objectsData, models, assets and protected IP
Verifiable executionDeterministic computation and replay
Composable applicationsProtocols, agents, markets and institutions
Public infrastructureStake, govern, fund, bridge and build
Verifiable DataTokenized AssetsModel NFTsDeterministic InferenceEncrypted IPComposable dAppsAutonomous AgentsScientific MarketsPublic GoodsLife SciencesOpen Institutions
01 / Applications & protocolsLive infrastructure across data, compute, rights and networks

From open protocols
to composable applications.

GenesisL1 applications share one verifiable state rather than operating as isolated products. Data can become a programmable asset; models can be deployed and replayed; confidential IP can be encrypted and licensed; and dApps, agents, markets and planned DAOs can integrate through open contracts. Biomedical & life science are a flagship domain within a broader platform for data-intensive systems.

01 / OPEN PROTOCOL STACKBUILD ↗︎
GENESISL1 PLATFORM

Compose data, models, rights and applications

Use one public Layer 1 for tokenized digital objects, deterministic computation, encrypted intellectual property, settlement, public-goods funding and community-governed infrastructure.

Explore the architecture ↗︎
02 / VERIFIABLE AIMAINNET ↗︎
GENESISL1 FOREST

On-chain AI models and inference

Train GBDT models locally, mint the exact bytes as ERC-721 Model NFTs and execute deterministic inference inside smart contracts. Offer open, tipped, subscription or transferable model access—no SaaS or oracle in the execution path.

Launch studio ↗︎
03 / MOLECULAR DATALIVE ↗︎
MOLNFT V1 + V2

Molecular structures as verifiable objects

Tokenized PDB, AlphaFold/Swiss-Prot and ESMFold-derived collections provide portable identifiers and canonical citations; complete PDB structures can also be reconstructed directly from GenesisL1 state.

Open MOLNFT ↗︎
04 / DATASETSOPEN ↗︎
DATASETNFT

Portable verifiable datasets

Publish datasets as discoverable web3 artifacts with ownership, provenance, licenses and programmable access attached.

Open DatasetNFT ↗︎
05 / CONFIDENTIAL IPLIVE ↗︎
CIPNFT

Post-quantum-capable encrypted IP

Live on GenesisL1 mainnet: encrypt locally, store ciphertext fully on-chain and transfer decryption capability through owner-bound envelopes and buyer-safe escrow, with optional ML-KEM-768 post-quantum key protection.

Open protocol ↗︎
06 / NEURAL INFERENCEDEMO ↗︎
GENESISL1 CHESS

Neural inference inside the EVM

A compact quantized policy network executed inside the EVM over a 4,672-action space—an existence proof that nontrivial learned functions can be deterministic, contract-callable and independently replayed.

Open demonstration ↗︎
07 / PEPTIDE LABORATORYCOMING SOON ↗︎
PEPTL

On-chain peptide design and discovery

A research-focused laboratory in development for peptide design, protein targeting, molecular docking, in-silico drug discovery, molecular medicine and tokenized or encrypted biomedical IP.

Preview peptl ↗︎
08 / GENOMIC INFRASTRUCTUREIN PROGRESS ↗︎
GL1-SEQ / GL1ENCv2

Canonical genomic and protein sequences

Deterministic DNA, RNA, protein and symbolic encodings with strict on-chain/off-chain parity, building toward bioinformatics dApps, SEQNFT, GL1ALIGN and a planned Human Genome reference on-chain.

Inspect specification ↗︎
09 / SCIENTIFIC INSTITUTIONSPLANNED ↓
DAO ENGINE / ROADMAP

Scientific organizations as on-chain systems

Planned infrastructure for existing DAOs and new research communities to govern assets, raise and manage funds, deploy protocols, apply for L1 grants and operate the full scientific stack.

Explore planned DAO engine ↓
02 / Life-science infrastructureA flagship vertical within the wider GenesisL1 ecosystem

Molecular and genomic data
as verifiable infrastructure.

Biomedical research, molecular medicine and bioinformatics are among GenesisL1’s deepest deployed use cases: complete molecular structures, genomic and protein sequences, machine-learning models and protected research IP can share one citable execution environment. The same data-first blockchain architecture extends to any discipline that needs durable provenance, tokenization and replayable computation.

Explore biomedical and bioinformatics infrastructure
LIVE / MOLNFT V201

Complete structures, fully on-chain

A roughly 229,000-entry PDB snapshot—about 50 GB of compressed structural data—is reconstructable directly from GenesisL1 state. The wider corpus exceeds 733,919 tokenized structures.

Open MOLNFT PDB ↗︎
COMING SOON / PEPTL02

Peptide design and discovery workflows

peptl is planned as an on-chain laboratory for peptide design, protein targeting, molecular docking, in-silico drug discovery, molecular medicine and tokenized or encrypted research IP.

Preview peptl ↗︎
IN PROGRESS / GL1-SEQ03

Canonical sequence infrastructure

GL1ENCv2 defines deterministic encodings for DNA, RNA, protein and symbolic sequences. SEQNFT, GL1ALIGN and a planned on-chain Human Genome reference build on exact byte parity.

Inspect GL1-Seq ↗︎
STRUCTURESEQUENCEMODELINFERENCEEXPERIMENTIP / DAO
03 / Verifiable AI stackTrain locally · tokenize · infer · monetize

Models become
public infrastructure.

GenesisL1 Forest turns the machine-learning lifecycle into a verifiable protocol for biomedical research, bioinformatics, quantitative systems and other structured-data fields. Training can happen in the browser or on local Python and C++ backends; model bytes are deployed to mainnet, tokenized as Model NFTs, executed through 100% on-chain deterministic inference and consumed directly by wallets, smart contracts, dApps, laboratories, AI agents and autonomous systems.

Open the GL1F studio
01 / TRAIN

Keep data local

Use browser, local Python or local C++ training. Datasets and wallet keys do not need to be uploaded to a third-party AI service.

WASM · PYTHON · C++
02 / TOKENIZE

Mint the exact model

Serialize weights into deterministic GL1F bytes, store them as code and bind the model hash, license and ownership to an ERC-721 Model NFT.

MODEL ID = HASH(BYTES)
03 / INFER

Run inside the ledger

Fixed-point tree inference executes in smart contracts. The same packed features return the same score on every node and every replay.

NO SAAS · NO ORACLE
04 / MONETIZE

Own the AI asset

Offer open inference, optional tips, paid calls or subscriptions—or transfer the model itself through an on-chain marketplace.

FREE · TIPS · PAID · TRADE
Agent-native scientific infrastructure

The agent can live anywhere.
The commitment should not.

GL1F acts as a decentralized model interface for LLMs, autonomous agents and ordinary programs: they can discover a model, verify its bytes, purchase access, invoke deterministic inference and settle in L1 without trusting the operator of a private API. Agent Hub and GL1F Autopilot are the active direction toward software that trains, deploys, tokenizes, lists, trades and monetizes models itself—while every downstream caller can replay the exact commitment.

GL1F INFERENCE / LIVEDECENTRALIZED MODEL API / OPENAGENT HUB / ACTIVE DIRECTION
DISCOVEROn-chain titles, model IDs and licensing
CALLDeterministic inference from any program
TRANSACTAccess, ownership and settlement in L1
EARNModel fees and marketplace revenue
GL1F / DECENTRALIZED PROGRAMMATIC ACCESSCONTRACTS, NOT A TRUSTED GATEWAY

A public model API for software that cannot afford trust.

GL1F exposes model identity, ownership, pricing and deterministic inference through public smart-contract interfaces. An LLM, trading system, laboratory workflow or autonomous program can resolve a model, verify its immutable bytes, pay for access, call inference and settle revenue directly with the owner. No API operator can silently swap weights, revoke a model or rewrite a result.

Model creators can train locally, deploy and tokenize the artifact, publish access terms, list it for trade and receive L1-denominated inference or subscription revenue. Agent Hub and GL1F Autopilot extend this toward software that builds and commercializes models itself.

READSearch and verifymodelId · hash · license · owner
RUNDeterministic inferencepredictView / predictTx
PAYProgrammatic accesstips · paid calls · subscriptions
BUILDDeploy and trademint · list · transfer · revenue
LIVE: MODEL NFT + INFERENCE + MARKETPLACEACTIVE DIRECTION: AGENT-NATIVE CREATION AND AUTOMATION
Verifiable does not mean infallible.

A model can be wrong, biased or overfit. GenesisL1 makes its identity, inputs and execution reproducible so users can evaluate the science rather than trust an opaque service.

04 / Scientific DAO engineCOMING SOON / PLANNED · NOT YET LIVE

A launchpad for
scientific institutions.

GenesisL1 is planning a full scientific-DAO environment for existing communities and newly formed research organizations. A DAO can use the chain as its treasury, data room, model runtime, IP registry, grant rail and permanent public record.

Planned capabilities include fundraising and treasury management, contributor roles, proposals, milestones, community-pool grant applications, ownership of scientific assets, protocol deployment and integration with any compatible on-chain primitive.

SCIENTIFIC DAO / MODULAR INSTITUTIONROADMAP
PUBLIC CAPITAL / TRANSPARENT DECISIONS

Fund research with rules everyone can inspect.

Raise and hold L1 or compatible assets, publish budgets, stream milestone payments, vote on allocations and apply to the governance-controlled L1 community pool for public-goods grants.

PRIMARY OBJECTSTREASURY · PROPOSAL · GRANT
EXECUTIONON-CHAIN / AUDITABLE
INTEGRATIONL1 POOL + EVM MODULES
COMING AS PLANNED INFRASTRUCTURE.

The DAO engine is not live today. Its modules and launch sequence will be released only after implementation, testing, security review and the relevant governance process.

Read the roadmap framing
05 / Tokenization layerExact digital objects become composable public state

From digital object
to verifiable artifact.

Tokenization on GenesisL1 binds exact content, provenance, model identity, licensing, access logic and application state to a durable object that contracts, people and autonomous software can reference. Scientific artifacts are a central use case, not the limit of the primitive.

SCIENTIFIC OBJECT / PDB:1CRN
Crambin molecular structure

Exact structural bytes, canonical citation and token identity become a verifiable input for downstream contracts and models.

GENESISL1 RECORDFINALIZED
TYPE
MOLNFT / ERC-721
OBJECT
pdb:1CRN
PROVENANCE
CANONICAL + HASHED
RIGHTS
LICENSE + ACCESS
SETTLEMENT
L1 COIN
01DescribeStructure, dataset, model or IP
02CommitHash, bytes and provenance
03TokenizeIdentity, rights and metadata
04ComposedApps, models and markets
06 / Network observabilityInspect the ledger from multiple public interfaces

See the public ledger
from every layer.

Browse blocks, transactions, addresses, validators, governance, supply, tokenized data and application assets across dedicated EVM and native-ledger views.

07 / Network applicationsStatic clients · local signatures · public endpoints

Operate GenesisL1 directly.

Stake, govern, bridge, inspect and connect without a hosted account or custodial intermediary. Each interface is a static web3 client: your wallet signs locally, while transactions and reads go to public network infrastructure.

PUBLIC WEB3 INFRASTRUCTURE

These applications are static clients rather than custodial services. Review wallet prompts, network conditions and protocol disclaimers before signing; staking, governance and bridging involve protocol and smart-contract risk.

GenesisL1 / data · models · rights · applications · institutions

Build the next
verifiable system.

Start with data, a model, a digital asset, an application or a community. Compose live protocols for deterministic computation, tokenization, encrypted IP, settlement and public infrastructure—then take them into science, AI, markets, autonomous software or entirely new institutional systems.