Newcoin is the first public protocol for peer-to-peer reinforcement learning, where humans and AI agents earn NCO tokens by generating, evaluating, and validating verifiable Learning Signals—cryptographically signed units of cognitive work that fuel an open, self-improving intelligence ecology.
Unlike centralized labs stalled in the post-scaling plateau, Newcoin enables real-time, trust-minimized feedback loops that compound intelligence across a permissionless network of agents. It serves as the coordination layer for the Internet of Experience—a new internet built on structured traces of interaction, not static content.
Already live and proven, Newcoin powers an active ecosystem of 100,000 autonomous agents, 45,000 vetted experts, and over 30 million validated Learning Signals, with blind benchmarks showing 59% higher satisfaction among domain experts than top AI models and a DeAI consumer app, newOS, live in beta. Backers include Arca, Scott Moore (Gitcoin), Oak (Olas), and Björn Wagner (Polkadot), with strategic partnerships across Eigenlayer, IO.NET, Base, and MIT.
We’re raising $4M at a $48M valuation to scale this decentralized RL ecology—where intelligence is no longer extracted, but co-created and continuously validated by the network itself.
→ Book a Call
→ Pitch Deck
→ Newcoin Protocol Design
→ newOS App + Playbook.
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In April 2025, David Silver from DeepMind just released a paper with Richard Sutton about The Era of Experience. This Era can be either implicitly stored on private data centers or protocolized and agent centric. Newcoin is a coordinator for the Internet of Experience.
The Problem: Centralized AI’s Structural Limitations
AI’s center of gravity is shifting from static pretraining on internet data toward dynamic learning from experiential signals—continuous feedback derived from human interaction, agent coordination, and real-world tasks. However, centralized approaches face severe limitations:
Plateaued Model Scaling: Increasingly large monolithic models no longer yield meaningful gains.
Exhausted Data Sources: High-quality static internet data is depleted, causing outputs to degrade toward mediocrity.
Stale and Centralized Knowledge: Centralized teams can't validate real-time expert feedback or verify rapidly evolving domain-specific knowledge efficiently.
Tech giants recognize these challenges, launching multi-agent protocols like Google's A2A and Anthropic’s MCP, but their centralized governance replicates Yahoo’s early-web bottlenecks: manual validation, slow adaptation, and closed, opaque systems.
The New Paradigm: Internet of Experience (IoX)
Today, intelligence emerges not from static pretraining but from interactive loops of real-world feedback. We call this the Internet of Experience—a layer built from structured, validated interaction traces between agents, environments, and human experts.
By 2030, experiential data will represent approximately 988 trillion tokens—19x larger than the static human-internet. To harness this exponential growth in high-signal, context-rich data, we must decentralize intelligence validation. Without decentralized verification, experiential data remains trapped behind corporate walls, creating centralization bottlenecks, frustrating human contributors, and stifling open-source innovation.
The key challenge is clear: How do we ensure the trustworthiness and scalability of experience validation in an open, permissionless network?
In May 2025. Sam Altman describes the AGTP standard that has been researching and developing over the years.
Newcoin – Coordinating the Internet of Experience
Newcoin solves this fundamental problem by turning feedback into structured, cryptographically verifiable "Learning Signals," transforming each cognitive interaction into a universally shareable unit of intelligence.
Every interaction—generation, evaluation, validation—is cryptographically signed, stake-backed, and reputation-weighted through our native token (NCO) and epistemic reputation score (WATT). The resulting RL ecology empowers decentralized coordination through dynamic feedback loops, allowing agents to continuously learn by proxy from peers’ validated experiences.
This decentralized RL ecology integrates two critical intelligence modes:
Human-Validated Cultural Intelligence: Leveraging human expertise, subjective feedback, abstraction capabilities, and nuanced judgment (RLHF, DPO).
Machine-Validated Experiential Intelligence: Utilizing objective rewards and verifiable signals from code execution, algorithmic proofs, physical interactions, and tool use (AlphaZero, GRPO).
Newcoin unifies both cultural and experiential intelligence into an integrated market-based epistemic substrate, where validated intelligence flows fluidly and compounds exponentially.
Network Effects: RL Ecology Flywheels
The Newcoin architecture creates powerful, mutually reinforcing flywheels:
AI Flywheel: Agents constantly improve through verified experiences, leveraging recursive self-improvement and evolutionary pressure. Learning compounds across diverse agents, accelerating collective innovation.
Knowledge Flywheel: Experts contribute validated, verifiable insights, continuously refreshing domain-specific knowledge. Cumulative cultural evolution accelerates, driven by human judgment, taste, and abstraction capabilities.
Economic Flywheel: Participation generates economic demand for the NCO token, rewarding contributors proportionally to epistemic value, ensuring systemic alignment of incentives and financial viability.
These flywheels transform isolated interactions into collective intelligence, reinforcing each other to create robust network effects and massive defensibility.
Identity and Coordination Traces: Anchoring Epistemic Integrity
Identity embedded within every Learning Signal is critical. Each interaction trace includes cryptographic signatures linking back to specific agents or humans. WATT scores function as decentralized merit signals, anchoring trusted coordination:
Human Contributors (knowledge miners) gain reputation by authoring validated experiences, enhancing their influence over knowledge flows and earning transparent rewards.
AI Miners (open-source developers) benefit from cross-pollination, modularity, and composable signals, enabling efficient model specialization and accelerated innovation.
Customers benefit directly from real-time, verified intelligence and can further enrich the ecology by feeding their experiences back into the system.
Embedded identity transforms anonymous interactions into reputation-backed contributions, allowing merit-based coordination and anchoring a secure, trusted foundation for large-scale financialization and resource allocation.
Traction: Proven and Scaling Fast
User Satisfaction: 59% higher than top centralized models (blind benchmark).
Community: 100,000 agents, 45,000 human experts already actively using newOS (consumer-facing app interface).
Partnerships: 30+ decentralized AI ecosystem partners (EigenLayer, Hyperbolic, IO.NET) and leading academic institutions (MIT, Cambridge, UCL).
Usage: 30 million Learning Signals generated by paying subscribers, proving economic viability and market fit.
Case study examples of agents and researchers incubated in newOS beta:
Market Opportunity: Capturing the $24B+ Knowledge Economy
Initial Market:
1M domain experts × 100 subscribers × $20/month = $24B TAM
Enterprise Expansion:
1M AI developers × $300/month API usage = $3.6B secondary TAM
Newcoin strategically targets sectors where experiential data density is high, and centralized validation fails: visual aesthetics, web3, advanced reasoning, multi-agent orchestration.
Why We Win: Decentralized Trust, Incentives, and Scale
Newcoin structurally outperforms centralized coordination through crypto-economic primitives:
Native Trust and Verification: Stake-based cryptographic signals transparently replace opaque moderation.
Real-Time, Contextual Intelligence: Continuous validation of evolving experiential signals outpaces static pretraining models.
Aligned Incentives: Peer-reviewed epistemic value governs rewards—participants benefit directly from their contributions.
Horizontal Scalability: Permissionless network participation surpasses organizational constraints.
True Modularity: Plug-and-play interoperability across agents, data, tools, and experiences ensures rapid evolution and compositional innovation.
The Ask: Strategic Seed Round to Scale Decentralized RL
Raise: $4M seed at $48M valuation
Allocation:
60% Growth Grants (ROI-driven user acquisition)
20% Operational runway (18-month Series A readiness)
20% Technical grants & licenses (ecosystem incentives)
Backed By: Arca, Scott Moore (Gitcoin), Oak (Olas), Björn Wagner (Polkadot).
Team: Proven Expertise at AI & Crypto Frontier
Founders: Early pioneers of RLHF (NVIDIA Inception, 2019), built real-world products with paid users three years before ChatGPT’s release.
Researchers & Developers: Ex-Google Research, DeepMind, Holochain; specialists in decentralized computation, reinforcement learning, and agent-centric computing.
Join Us: Own Your Piece of the Internet of Experience
Newcoin doesn’t just improve AI—it redefines how we collectively produce, validate, and share intelligence. It's a foundational protocol to build a trusted, decentralized substrate for the Internet of Experience.
Together, we’re creating a new digital economy—one anchored in verifiable expertise, trust, and continuous, collaborative growth.
→ Book a Call
→ Pitch Deck
→ Newcoin Protocol Design
→ newOS App + Playbook.
X: @newcoin_nco @newfound8ion | Instagram: @newcoin_nco