TL;DR: Remember all the AGI panic of 2023? The breathless predictions that AGI was just months away? The scaling hypothesis—building ever-larger monolithic AI models to reach general intelligence—has demonstrably plateaued, as acknowledged by leading researchers like Sutskever, LeCun, and Amodei. AI development is undergoing a structural shift toward modular, dynamic, and compositional intelligence systems—namely, multi-agent coordination.
The next step in AI is modular multi-agent coordination. Claude MCP, Google A2A, OpenAI Swarm: centralized AI is admitting they need agent protocols, but trying to place their model at the center and control the flow of reinforcement learning.
Newcoin anticipated this transition six years ago. We’ve built the first permissionless, cryptographically verifiable protocol for agent coordination, enabling humans and machines to participate in decentralized reinforcement learning. Rather than placing one model at the center, Newcoin forms a self-improving intelligence network where each contribution—generation, evaluation, validation—is stake-weighted and reputation-backed, increasing the bandwidth of quality control between humans and agents and driving iterative improvement through peer-to-peer reinforcement learning.
Crucially, Newcoin operates at the intersection of two foundational modes of intelligence: analytical, programmatic reasoning (as instantiated in algorithms and models), and cultural-evolutionary intelligence (as expressed in collective knowledge production and distillation). The protocol unifies both into a coherent economic system where epistemic value is continuously mined, validated, and redistributed.
This allows Newcoin to function not just as an intelligence protocol, but as an epistemic substrate—coordinating the advancement of knowledge itself. The system dynamically assembles and routes intelligence across a decentralized network of human and machine contributors. Each action—generation, feedback, review—contributes to a growing graph of trust, reputation, and validated knowledge.
This approach is already live and proven. With over 100K agents, 30M+ learning signals, and 45K+ active users on the platform, Newcoin is demonstrating superior satisfaction from domain experts. It enables a new kind of coordination substrate where knowledge flows through interaction and is continuously validated at the edge.
We are now raising $4M @ $48M to scale this validated platform across the $24B+ AI-driven knowledge economy and establish the de facto coordination layer for modular AI.
The Problem: Centralized AI is Structurally Limited
Centralized AI models face fundamental, systemic limitations:
Plateauing Monolithic Models: Larger models no longer deliver significant performance gains. Leading architectures (e.g., Deepseek, OpenAI o4) are now shifting to smaller, interconnected models.
Exhausted Data Sources: High-quality internet data has been largely depleted, causing AI outputs to converge toward mediocrity.
Stale Knowledge: Users requiring real-time, domain-specific insights (crypto researchers, AI developers, fashion designers) find centralized AI inadequate and slow.
The landscape of artificial intelligence is undergoing a significant transformation with the emergence of interconnected and collaborative AI agents, often referred to as the Internet of Agents (IoA). This evolution signifies a move beyond individual AI applications towards a network of intelligent systems capable of autonomous problem-solving and complex task execution.
In this new paradigm and even if tech giants are launching multi-agent protocols, notably Google's Agent-to-Agent (A2A) protocol and Anthropic's Model Context Protocol (MCP), a problem persists: how do agents trust each other at scale? Centralized control will inherit the same bottlenecks that made monolithic models plateau.
We need to shift AI development from pipelines –teams of employees trying to organize the world's intelligence like Yahoo originally did with websites, to an open permissionless network, like how Google used web links to rank websites.
Such transformation requires agents to express their own evaluation about other agents and their outputs, and this can't be achieved if a company like Google or OpenAI need to control the quality and safety for all agents. We need an open, permissionless protocol where trust is emerging through agent interaction. This protocol already exists and it's about to change the face of the internet forever.
Enter Newcoin – Coordinating Infinite Distributed Modularity
Newcoin is a permissionless, decentralized protocol facilitating superior coordination between knowledge producers, model developers, and validators:
Generate: Agents (AI models, specialized algorithms, human experts) create outputs—data, analysis, code, predictions.
Evaluate: Outputs are assessed by peer agents and domain experts using cryptographic verification, staking (via $NCO tokens), and reputation scores.
Validate: High-quality contributions are rewarded, reinforcing reputation; subpar contributions are filtered, penalizing bad actors financially.
This creates a dynamic, self-optimizing "agent graph"—an evolutionary feedback loop continuously improving intelligence quality and operational scalability.
Consensus Reliability: Nodes mutually validate contributions using stake-based cryptographic verification, creating direct economic incentives for accuracy and integrity, ensuring reliable interoperability across diverse agent types and architectures.
Performance: Early benchmarks indicate a 59% higher satisfaction rate among experts needing frontier knowledge, demonstrating Newcoin’s superior capability over centralized systems. Our platform facilitates scalability of contributors, real-time data freshness, and accelerated innovation cycles.
Crucially, Newcoin operates at the intersection of two foundational modes of intelligence: analytical, programmatic reasoning (as instantiated in algorithms and models), and cultural-evolutionary intelligence (as expressed in collective knowledge production and distillation). The protocol unifies both into a coherent economic system where epistemic value is continuously mined, validated, and redistributed.
This allows Newcoin to function not just as an intelligence protocol, but as an epistemic substrate—coordinating the advancement of knowledge itself. The system dynamically assembles and routes intelligence across a decentralized network of human and machine contributors. Each action—generation, feedback, review—contributes to a growing graph of trust, reputation, and validated knowledge.
Market Size: $24B+ and Growing
Initial Target: 1 million domain experts, each capable of attracting 100 unique subscribers paying $20/month. This represents a $24B TAM ($1M * 100 * $20 * 12).
Expansion: Enterprise and AI ecosystem, selling bulk credits to 1M developers and companies spending an average of $300/month on API calls, targeting another $3.6B market ($1M * $300 * 12).
Why This Wins – Crypto vs Corporate Coordination
Newcoin is structurally optimized for epistemic integrity at scale. It combines trust, incentives, and modularity through crypto-economic primitives that centralized labs cannot replicate:
Built-in Trust: Verification is native—stake-weighted signatures and transparent feedback loops replace opaque, post-hoc model evaluations.
Real-Time Knowledge: Rather than training on static datasets, Newcoin ingests and validates live, context-rich contributions.
Aligned Incentives: Contributors are rewarded based on peer-reviewed quality, not employment or brand.
Unlimited Scale: The network grows horizontally through permissionless participation, not organizational hiring.
True Modularity: Unlike closed AI ecosystems, Newcoin is built for composability—agents, models, datasets, tools, and feedback are all plug-and-play.
This is not just about better AI—it’s about building a global intelligence refinery.
Why Now – Timing the Paradigm Shift
2020–2023: The scaling hypothesis dominates AI progress.
2024: Scaling collapses (GPT-5 delays, Claude plateaus). Multi-agent systems gain traction.
2025: Major labs pivot to agent protocols (Anthropic MCP, Google A2A). But they remain closed, hierarchical, and model-centric.
Newcoin began building a permissionless coordination substrate in 2019. The inflection point has arrived—and we’re ahead of it.
Traction – Beyond Promises
45,000+ Users on newOS, the desktop interface for routing prompts through agent swarms.
30M+ Learning Signals recorded and validated in-network.
59% Higher Satisfaction than centralized systems in blind benchmarks focused on high-complexity domains.
Paying Subscribers from $8 to $500/month, validating demand for epistemic precision.
Economic Model – Reinforcing Epistemic Value
Bootstrapping with Grants: $10K creator grants convert niche audiences into paying subscribers with 6-month CAC recovery.
Tokenized Revenue Loop: Subscription revenue converts into $NCO buy pressure. Rewards are distributed via staking-based consensus.
Sustainable Incentives: Validators seek accuracy. Miners optimize for high-quality outputs. Customers fund based on value.
Every interaction compounds intelligence. Every dollar generates token demand. Every reward vests over 800 days—engineering systemic alignment.
Go-To-Market Strategy – Scaling Trust, Not Noise
We start with epistemic edge cases: knowledge domains where centralized AI fails to deliver depth, nuance, or real-time signal.
Visual Aesthetics (image/video evaluation and generation)
Web3 and New Internet Stack (crypto-native agents and tooling)
Advanced Reasoning (systems theory, philosophy, applied cryptography)
Agent Coordination (multi-agent orchestration and infrastructure)
Experts seed knowledge graphs. Their audiences convert into users. The protocol rewards contributions that improve the collective intelligence.
Team – Deep AI + Crypto Synergy
Newlife.ai Founders: Early RLHF pioneers (NVIDIA Inception, 2019), with experience scaling consumer AI and protocol architecture.
Crypto Core Builders: Includes Holochain’s former lead developer—deep experience with decentralized runtime systems.
Multi-Agent AI Researchers: From Google Research and DeepMind—specializing in emergent behavior and decentralized cognition.
This team isn’t chasing trends. It’s executing a long-term vision refined through six years of product and protocol iterations.
The Ask – $4M on a $48M Post-Money Valuation
60% to Growth Grants: ROI-driven capital deployment.
20% to Runway giving us 18 months to reach a series A
20% to technical grants and software licenses
Backers Include: Arca, Scott Moore (Gitcoin), Oak (Olas), Björn Wagner (Polkadot).
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