Whitepaper

The strategic blueprint behind Valerian Data

Review the thesis, system design, token utility, and execution plan that shape the Valerian ecosystem.

Market thesisProduct architectureVALDT utilityExecution roadmap

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Market thesis

Why early on-chain intelligence is becoming a core edge for crypto-native capital.

Product architecture

How discovery, analytics, scoring, and operator workflows fit into one platform.

VALDT utility

The role of staking, premium access, and governance in the network design.

Execution roadmap

Milestones that move the platform from launch experience to institutional product depth.

VALDATA Tokenomics

VALDATA on BSC with a distribution built for launch, growth, and retention

VALDATA is structured to support distribution, user activation, participation incentives, and operating capacity from day one. The model places 60% of total supply into sale while keeping focused allocations for development, marketing, airdrops, treasury, and staking.

100B

VALDATA

Public sale

A majority of the token supply is reserved for market entry

60,000,000,000 VALDATA are allocated to sale, creating broad initial distribution and a commercially strong launch profile on BSC.

Venta 60%Staking 15%Marketing 10%Dev 5%Airdrop 5%Tesoreria 5%

Project

Valerian Data

Network

BSC

Symbol

VALDATA

Total supply

100,000,000,000

Supply for sale

60,000,000,000

VALDATA

Distribution engineered for market entry and ecosystem incentives

The allocation balances commercial reach, user retention, and execution capacity without overloading internal buckets.

Public sale

60%

Sale

Core distribution reserved for launch and broad market participation.

60%

Developers

Allocated to product delivery, maintenance, and technical execution.

Marketing

Reserved for brand growth, campaigns, and ecosystem visibility.

10%

Airdrop

Focused on activation, community acquisition, and early user growth.

Treasury

Supports strategic reserves, operations, and ecosystem flexibility.

Staking

Dedicated to incentive design and long-term participation.

15%

Roadmap

A phased roadmap from data infrastructure to enterprise scale

Valerian sequences data foundations, alpha models, product launch, monetization, multi-chain expansion, advanced AI, and institutional delivery, with critical platform work running in parallel.

Phase 16 milestones

Foundation

Data & Infrastructure

Q2-25

Implement the incremental contract detection pipeline on BSC.

Phase 25 milestones

Alpha Models

Initial Analytics

Q4-25

Implement the alpha analytics and machine learning model.

Phase 35 milestones

Product MVP

Functional Launch

Q2-26

Launch the Valerian platform as a functional MVP.

Phase 44 milestones

Monetization & Tokenomics

Q2-26

Design the utility of the VALDATA token within the ecosystem.

Phase 54 milestones

Multi-Chain Expansion

Q4-26

Implement the tracking model for the ETH network.

Phase 66 milestones

Advanced Models

AI / ML / DL

Q1-27

Develop the alpha portfolio model for 20 cryptoassets.

Phase 74 milestones

Global Monitoring Engine

Q3-27

Scale monitoring coverage to 90% of relevant blockchain networks.

Phase 84 milestones

Multi-Asset Expansion

Q3-27

Integrate traditional assets including equities, commodities, and indices.

Phase 95 milestones

Enterprise & Scaling

Q4-27

Develop advanced market metrics.

Cross-layer7 milestones

Critical workstream

Runs in parallel

Implement MLOps for training and automatic retraining.

Phase 1

Foundation

Data & Infrastructure

Q2-25

Implement the incremental contract detection pipeline on BSC.

Q2-25

Develop the early token detection engine.

Q3-25

Build the historical token feature store.

Q3-25

Implement the automated labeling system for risk, liquidity, and growth.

Q3-25

Normalize data for a multi-chain architecture.

Q4-25

Implement data versioning and auditability.

Phase 2

Alpha Models

Initial Analytics

Q4-25

Implement the alpha analytics and machine learning model.

Q4-25

Develop the alpha portfolio simulation model for 6 cryptoassets.

Q4-25

Implement the backtesting engine with walk-forward validation.

Q1-26

Define robust evaluation metrics without overfitting.

Q1-26

Publish the alpha portfolio model for 6 cryptoassets.

Phase 3

Product MVP

Functional Launch

Q2-26

Launch the Valerian platform as a functional MVP.

Q2-26

Develop the executive dashboard for predictions, rankings, and signals.

Q2-26

Implement the authentication system for login and user management.

Q2-26

Implement access control for free vs premium tiers.

Q2-26

Integrate legal disclaimers and terms of use.

Phase 4

Monetization & Tokenomics

Q2-26

Design the utility of the VALDATA token within the ecosystem.

Q2-26

Implement the SaaS subscription system.

Q3-26

Integrate Web3 payments with wallet connect and web3 payments.

Q3-26

Launch the VALDATA token presale.

Phase 5

Multi-Chain Expansion

Q4-26

Implement the tracking model for the ETH network.

Q4-26

Integrate new networks including Polygon, Arbitrum, and other relevant chains.

Q4-26

Develop the unified multi-chain engine.

Q4-26

Normalize and consolidate cross-chain data.

Phase 6

Advanced Models

AI / ML / DL

Q1-27

Develop the alpha portfolio model for 20 cryptoassets.

Q1-27

Implement ML, DL, and AI models for forecasting 26 assets.

Q1-27

Develop ensemble models and meta-models.

Q2-27

Implement meta-labeling and advanced classification models.

Q2-27

Model volatility and market regimes.

Q2-27

Implement automatic model recalibration.

Phase 7

Global Monitoring Engine

Q3-27

Scale monitoring coverage to 90% of relevant blockchain networks.

Q3-27

Implement real-time processing with per-minute streaming.

Q3-27

Develop the early alert system.

Q3-27

Implement a global ranking of investment opportunities.

Phase 8

Multi-Asset Expansion

Q3-27

Integrate traditional assets including equities, commodities, and indices.

Q3-27

Develop multi-asset predictive models.

Q3-27

Implement cross-market correlation analysis.

Q3-27

Develop hybrid strategies across crypto and traditional assets.

Phase 9

Enterprise & Scaling

Q4-27

Develop advanced market metrics.

Q4-27

Implement advanced model statistics for enterprise mode.

Q4-27

Develop the commercial API for third parties.

Q4-27

Implement white-label dashboards.

Q4-27

Integrate with institutional clients including funds, exchanges, and companies.

Cross-layer

Critical workstream

Runs in parallel

These milestones are not sequential and progress throughout the roadmap.

Implement MLOps for training and automatic retraining.

Monitor model drift and performance.

Optimize system latency and performance.

Implement advanced security and access control.

Drive community strategy across Telegram, X, and adoption channels.

Implement logging and traceability.

Maintain global legal and regulatory compliance.