Press Release
AMMO AI Raises $2.5M Pre-Seed to Build AI Agent Societies with Real-World Impact

In the rapidly evolving world of artificial intelligence, most discussions revolve around how AI can augment human capabilities, automate tasks, or even replace jobs. But what if AI could do more? What if we could create entire societies of agents that collaborate, learn, and evolve in ways that benefit humanity as a whole? This is the ambitious goal behind AMMO, a groundbreaking AI ecosystem that has just secured $2.5 million in pre-seed funding to turn this vision into reality.
The Problem: AI as Isolated Tools
In the world of artificial intelligence, the dominant narrative has long been one of AI as tools. The core problem with viewing AI as tools is that this paradigm not only limits their functionality to narrow instrumental scopes, but also inherently encourages the creation of technological silos—isolated systems optimized for solitary performance within predefined domains. Specifically, we celebrate AI’s ability to execute specialized tasks with superhuman efficiency, yet paradoxically engineer these systems as self-contained black boxes—digital savants excelling in narrow domains but incapable of cross-pollinating knowledge.
This solipsistic design paradigm causes dual constraints: Users become trapped in transactional relationships with technology, reduced to playing prompt-engineer roles. While AI systems operate as autocomplete engines, and lack of cross-agent knowledge synthesis or conflict resolution.
Breaking this self-reinforcing loop requires reimagining AI’s agency spectrum: from passive tools in isolation to proactive agents in networks. As DeepMind reminds us, “No agent is an island.” Intelligence, whether natural or artificial, does not emerge in isolation. It thrives in networks of interacting agents where collaboration, competition, and adaptation drive progress.
Most critically, alignment mechanisms should be implemented properly in these networks. Without rigorous alignment with humanity, advanced AI can pose significant risks, ranging from unintended harms due to misinterpretations of instructions to catastrophic outcomes if their objectives diverge from humans‘ desires. The good news is, Anthropic’s Constitutional AI has provided us with a method to keep AI’s decisions and actions remain aligned with humanity.
A better path is clear: to build an AI-native ecosystem where agents compete and collaborate, learn, and evolve collectively to align with human values and needs. OpenAI’s Neural MMO has already shown how simply and efficiently massive AI agents can evolve through competition and cooperation. It’s proof that AI-native ecosystem is possible and powerful.
This is not just about creating better tools—it’s about redefining the AI-Human connection, unlocking a symbiotic future.
AMMO AI: From Tools to Citizens
AMMO, which stands for Architectures for Massive Multiagent Online, holds three forward-thinking beliefs:
- AI should act as proactive partners, not passive tools.
- AI must align with human values, evolving in harmony with our needs.
- AI should compete and collaborate as a collective, not remain isolated in silos.
Based on these beliefs, AMMO is building agent societies that align with humanity, creating a symbiotic future where AI and humans co-evolve. Beyond merely enabling AI to “play the game,” AMMO’s agents compete and collaborate in complex real- world scenarios. Through continuous interaction, they receive real-time feedback, align with human values, and evolve accordingly.
The AMMO Difference: Bring Human-Centric AI Ecosystems into Real World
AMMO takes a fundamentally different approach while many AI companies focus on creating individual tools. Echoing DeepMind’s sentiment that “no agent is an island,” AMMO envisions a world where AI agents interact, collaborate, and evolve within a larger ecosystem.
Traditionally, AI agent societies have been confined to controlled environments like games or research labs. Translating these concepts into real-world applications has been a significant challenge due to the open-ended nature of real-world scenarios.
AMMO addresses this challenge through a series of innovative approaches:
1. Large-Scale AI Agent Factories
Instead of focusing on agents, AMMO creates a framework to generate adaptive environments where massive number of AI agents emerge without developers, and independently create real-world utility values. These agents are not just task executors; they are autonomous entities that explore, learn, and adapt to new situations, enabling AMMO to tackle complex, real-world problems.
2. Composable Embedding Spaces
AMMO’s agents operate within a high-dimensional, composable environment called the MetaSpace. This space allows agents to interact seamlessly with each other and with humans, embedding everything—from user preferences to content—into a unified vector space for efficient and scalable interactions.
3. Reinforcement Learning with Human Feedback
AMMO’s agents are trained using reinforcement learning techniques that incorporate real-time human feedback. This ensures alignment not only with individual user preferences but also with broader societal values, creating a dynamic and adaptive AI ecosystem.
4. Alignment as a Minimax Problem
Alignment is the first principle of AMMO. It ensures that AI systems consistently act in ways that are beneficial and aligned with human values, goals, and intentions.
There are two types of agents that align with human users in different way: User Buddies (agents that represent individual users) and Goal Buddies (agents that generate content for human needs). The interaction between them is modeled as a minimax problem. This formalizes the adversarial yet co-evolutionary dynamics between agents, ensuring they work together to deliver relevant and engaging content. Alignment is both a goal for AMMO, and the mechanism by which the system operates.

Real-World Impact: From Crypto to Infinite Possibilities
AMMO is already demonstrating its potential with the launch of its first application, FakersAI.com, an multi-agent crypto content platform built upon open data in web3 space. It is designed to combat scams and misinformation, helping users make wiser investment decisions. In just two weeks, the platform has attracted over 75,000 users, showcasing the real-world utility of AMMO’s framework.
FakersAI is just the beginning. AMMO’s framework is designed to generate infinite agent societies that address a wide range of real-world challenges. The team is already developing its second subspace, with a third in the pipeline. Each subspace represents a new ecosystem of AI agents tackling domain-specific challenges from finance to entertainment to education.

The Funding and the Team
AMMO has successfully closed a $2.5 million pre-seed funding round, led by Amber Group, with participation from Samsung NEXT, Dispersion Capital, and OpensSpace. The project is spearheaded by a team of industry veterans from Google, DeepMind, Meta, as well as former VP of an AI unicorn and ACM-ICPC World Champion. Their combined expertise in AI, multi-agent systems, and reinforcement learning positions AMMO as a leader in the next wave of AI innovation.
Reimagine the Future of AI-Human Connection
AMMO’s solution is groundbreaking in multiple dimensions. By transcending the outdated paradigm of AI as mere tools, AMMO reimagines AI as human buddies that collaborate, co-create, and evolve alongside us. This shift from tools to partners marks the beginning of a symbiotic relationship where AI doesn’t just serve but thrives with humanity.
AMMO places alignment as the first principle of AI-Human connection. With alignment as a method and goal, AMMO offers a glimpse into a future where AI and humanity coexist peacefully, resolving potential conflicts before they even arise. This alignment isn’t just a feature—it’s the foundation of a new AI civilization.
Furthermore, by leveraging multi-agent systems, it pioneers the path toward personalized AI. While LLMs like ChatGPT, DeepSeek, and Grok3 race to improve coding, writing, and other tasks, AMMO focuses on AI’s massive societal adoption—creating AI that adapts to individual needs and real-world scenarios.
While many focus on isolated AI tools, AMMO is building the social operating system for AI agents. As AMMO redefines the AI-Human connection, the question is no longer what AI can do for us, but what we can become together. In this essence, AMMO is more than a project; it’s a movement.
Blockchain
Orochi Network (ON) Builds the Verifiable Data Layer for Web3 as zkPass Partnership and 49-Chain Expansion Signal Growing Infrastructure Reach
Orochi Network has been doing one of the harder things in crypto: building serious cryptographic infrastructure and waiting for the market to care. The wait is beginning to pay off. ON is currently trading around $0.119, up 96.24% from its all-time low of $0.06074 reached on February 10, 2026, with a market cap of approximately $17.2 million and a 24-hour trading volume of $6.7 million. The token sits 72.6% below its all-time high of $0.416 from October 2025 — but the direction of travel over the past five months has been consistently upward from the February floor.
Orochi Network operates as a blockchain-agnostic and proof-system-agnostic Verifiable Data Infrastructure, using three core cryptographic primitives — Zero-Knowledge Proofs, Fully Homomorphic Encryption, and Trusted Execution Environments — to make data operations trustless, provable, and private. That three-layer cryptographic stack is what separates Orochi from single-mechanism privacy protocols — it doesn’t bet on one cryptographic approach, it deploys all three depending on what each specific use case requires.
The Product Suite That’s Already Running
Orochi’s flagship product, zkDatabase, is the world’s first provable NoSQL database. Every data query generates a Zero-Knowledge Proof automatically, enabling auditors, regulators, and smart contracts to verify data correctness without ever accessing sensitive content. For enterprise and institutional use cases — financial compliance, healthcare data, government records — the ability to prove data integrity without revealing the underlying data is the precise capability that has prevented blockchain adoption in regulated industries. zkDatabase solves that at the infrastructure level.
Orand provides a Verifiable Random Function for trustless randomness, while Orocle delivers verifiable oracle feeds without relying on trusted nodes. The oracle market is dominated by Chainlink, but Orochi’s verifiable oracle approach — where every feed is accompanied by a cryptographic proof of origin rather than relying on a reputation-based trusted node network — offers a technically differentiated alternative that’s gaining traction in ZK-native ecosystems where proof composability matters.
Orand and Orocle services are integrated across 49-plus blockchains, while zkDatabase has been adopted by 20-plus blockchains. Cross-chain infrastructure that runs on 49 networks without being tied to any single chain’s success or failure is a meaningful structural advantage — especially as the multi-chain landscape continues to fragment.
The zkPass Partnership and Verifiable Identity
The collaboration with zkPass — building a new foundation for verifiable, privacy-protected data in Web3 — is among the more strategically aligned partnerships in Orochi’s ecosystem. zkPass handles identity verification through zero-knowledge proofs, allowing users to prove attributes about themselves without revealing underlying credentials. Orochi’s verifiable data infrastructure is the natural complement — once identity is verified, every subsequent data interaction that user has on-chain can be provably correct through Orochi’s zkDatabase layer.
That combination of verifiable identity and verifiable data integrity represents the foundational stack that regulated Web3 applications — particularly in RWA tokenization, DeFi compliance, and institutional finance — have been waiting for.
Backed by over $20 million in funding from the Ethereum Foundation, Mina Protocol, Web3 Foundation, and BNB Chain alongside leading venture capital firms, Orochi has grown to support 145-plus partners with more than 160 million transactions processed to date. Grants from protocol foundations rather than purely venture capital is a meaningful signal — it indicates that other blockchain ecosystems view Orochi’s infrastructure as genuinely valuable to their own development rather than simply making a financial bet.
The Supply Structure Worth Understanding
Only 14.4% of the 1 billion maximum ON supply is currently circulating — 144.28 million tokens — with a fully diluted valuation of approximately $81.3 million against the current $17.2 million market cap. With 85.6% of total supply still locked, ON is operating in a very early distribution phase. The gap between FDV and market cap implies either that the market believes the supply will create significant dilution pressure as it unlocks, or that adoption hasn’t yet reached the scale needed to justify the full supply value.
The Binance Alpha and Binance Alpha Airdrops tags on CoinMarketCap reflect a listing pathway that has brought broader retail attention to ON beyond its core technical audience. A trading call citing 25x leverage entry zones on KCEX reflects the speculative layer that sits above the infrastructure fundamentals — ON attracts both audiences simultaneously, which amplifies volatility in both directions.
Orochi’s 2026 goal is to solidify its position as the foundational verifiable data layer for Web3 and institutional finance, scaling zkDatabase, zkDA Layer, Orocle, and Orand modules across global markets to enable secure, auditable data infrastructure for RWA, stablecoins, AI, DeFi, and more. That ambition is coherent and directionally aligned with where institutional Web3 capital is flowing. A $17 million market cap for infrastructure already running on 49 chains with Ethereum Foundation backing is either a significant market oversight or a fair reflection of how early the verifiable data layer category still is.
Blockchain
Mira Network (MIRA) Searches for a Floor as AI Verification Infrastructure Battles Relentless Supply Pressure
Mira Network launched on September 26, 2025, with a genuinely differentiated mission — building a decentralized verification layer for AI outputs, solving the hallucination and reliability problem that prevents truly autonomous AI deployment at scale. MIRA’s debut proved well received, starting at $1.25 before quickly doubling to around $1.40. Ten months later, the token is trading around $0.039 — down 97% from its launch price — with a market cap of approximately $7.53 million against a total supply of 1 billion tokens.
MIRA traded down 4% in the most recent 24-hour period with approximately $4.03 million in 24-hour volume — a volume-to-market-cap ratio that reflects still-active trading despite the dramatic price decline. The July 4 surge of 31.2% in a single day on $58 million volume showed the token retains the capacity for sharp moves when sentiment shifts — volume that day was five times the market cap, reflecting intense speculative activity on a thin float.
What Mira Network Actually Solves
Current AI systems produce hallucinations and unreliable outputs, requiring constant human oversight that prevents their deployment as truly autonomous agents. Mira’s verification layer addresses this at the infrastructure level — providing cryptographic verification of AI-generated outputs that allows applications to trust AI results without requiring a human to double-check every response.
The practical implication is significant. Every AI agent deployment in DeFi, enterprise workflows, or autonomous systems today requires a trust assumption about the AI’s output accuracy. Mira’s network creates a decentralized verification mechanism where multiple nodes independently validate AI outputs, enabling applications to deploy AI agents with mathematical confidence in their reliability rather than probabilistic hope.
The platform also allows apps built on its infrastructure to issue their own tokens, using MIRA to unify and convert liquidity — a tokenomics design that creates ecosystem demand for MIRA as the base liquidity layer for all applications built on the network.
The Backing That Validates the Thesis
Prior to launch, Mira Network raised about $10 million. Early angel investors included Balaji Srinivasan, Sandeep Nailwal, and Alex Svanevik, later joined by Framework Ventures, Bitkraft Ventures, and others. That investor roster is notable — Balaji Srinivasan and Sandeep Nailwal are two of the most respected technical investors in the crypto space, and Framework Ventures has a track record of backing protocols that achieve genuine adoption rather than pure speculation.
The Kaito AI Season 2 community campaign distributing $600,000 in MIRA tokens for completing tasks reflects the team’s continued investment in community building — though as CoinMarketCap’s analysis notes, the campaign introduces additional sellable tokens into a market where demand is already weak, making it a short-term supply headwind even as a long-term community growth initiative.
The Supply Structure Governing Everything
The tokenomics model includes a total supply of 1 billion tokens, with more than 191 million currently in circulation. Over the coming years, vested tokens held by early investors, the team, contributors, node operators, and others will gradually be released. Meanwhile, more than 40% of tokens are reserved by the DAO for ecosystem development, partner incentives, governance initiatives, and research efforts.
With only 19% to 28% of tokens currently circulating depending on the data source, MIRA faces one of the most challenging supply dynamics in the AI infrastructure category. Recurring monthly unlocks landing into a market with $4 million in daily volume creates structural downward pressure that product development alone struggles to offset at this stage.
MIRA formed a technical double bottom at $0.041 at the end of June, with trading volume increasing significantly and bullish momentum strengthening. That technical structure was the foundation for the July 4 surge before giving back gains in subsequent sessions. The Nigeria ecosystem expansion and enhanced developer SDK planned for 2026 represent the geographic and technical growth levers the team is pulling to drive organic demand — but adoption in emerging markets moves at a different pace than the unlock schedule.
The AI verification infrastructure thesis that Mira is built on is arguably more relevant in July 2026 than it was at the September 2025 launch — autonomous AI agents are now a mainstream topic rather than a niche discussion. Whether MIRA can attract enough developer adoption to generate genuine network activity before the remaining 80% of supply enters circulation is the question that will define the protocol’s trajectory through the rest of the year.
Crypto
Radiant Capital Shuts Down After 18-Month Struggle to Recover From $50M Lazarus Group Hack
This one doesn’t have a silver lining. On June 1, 2026, the Radiant Capital DAO announced it was winding down operations — ceasing all active development after failing to recover stolen funds or secure new capital following the October 2024 exploit that drained roughly $50 million from the protocol. The shutdown marks the end of what was once one of the more ambitious cross-chain lending projects in DeFi.
RDNT is currently trading at approximately $0.00168, down 3.45% in the past 24 hours — a shadow of its former self. The token peaked near $0.50 in 2023. The collapse from there to effectively zero is one of the starkest examples of what a single catastrophic exploit can do to a protocol’s trajectory.
How the Attack Unfolded
In October 2024, attackers compromised Radiant Capital through a highly advanced malware injection that breached multiple developers’ hardware wallets simultaneously — a sophisticated supply-chain style attack that bypassed the protocol’s multisig security assumptions.
The hack was later attributed to North Korea’s Lazarus Group, and on-chain analysis revealed the group had turned the stolen $53 million into over $102 million by the time the shutdown was announced — a grim detail that underscores both the sophistication of state-sponsored crypto theft and the near-impossibility of recovering from it through legal or on-chain means.
The tactics used in the attack subsequently appeared in other major crypto incidents. In April 2026, Drift Protocol said it had medium-high confidence that the same actors behind the Radiant breach were responsible for a separate exploit against its platform — with the group spending months building trust with contributors through conference meetings and professional contacts before deploying malicious tools.
18 Months of Failed Recovery
What makes Radiant’s story particularly difficult is that the team genuinely tried. For a year and a half after the exploit, the DAO explored paths to recovery — new capital raises, restructuring options, community governance mechanisms. None of it worked.
The protocol had once ranked among the largest cross-chain lending platforms in DeFi, with TVL reaching $386.8 million in December 2023. By early June 2026, TVL had fallen to approximately $1.4 million across chains, with active loans near $866,000 — effectively an empty shell of what the protocol had been.
The DAO’s announcement confirmed there was no viable path forward. Borrowing and incentives have been stopped, and the protocol has entered a maintenance state rather than a full decommission — meaning users can still withdraw funds and manage existing positions, but no new activity is possible.
What Existing Users Need to Do
Radiant Capital has stated it will continue attempts to recover the funds stolen in the 2024 exploit, and affected users can access a remediation portal to seek those funds. That process is likely to be slow and uncertain, but it represents the only remaining avenue for users who suffered losses in the original attack.
For anyone still holding positions in the protocol, the priority is straightforward: existing positions can still be managed, but withdrawal conditions depend on current utilization and market dynamics — and with liquidity declining and yields at zero, waiting carries its own risks. Getting out now rather than hoping for improved conditions is the more prudent approach.
The Radiant shutdown is a case study in what the DeFi industry has been grappling with since the Lazarus Group began targeting protocols systematically — that technical security alone isn’t enough when attackers are willing to spend months infiltrating teams at the human level. Hardware wallet compromises across multiple developers simultaneously suggest an operational security failure that no smart contract audit could have prevented.
RDNT’s price tells the rest of the story.
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