8.3. Investor Questions (FAQ)
8.3.1. What exactly do you offer?
We’re building the ai agent layer for onchain orchestration
What’s live now:
• 🧠 (almost) No-code digital twin builder for b2b users ( founders , BDs)
• ⚙️ AI agent + Humans orchestration layer = c(h+a)rm
• 🛠️ B2B agent-as-a-service platform — already used by teams for fundraising, outreach, inbound
Main clients today: B2B — market makers, founders, fund managers, L1s(who desperately need builders), protocols…
What’s next: fully open-source stack, where anyone can clone
themselves into an ai agent or spin up an autonomous ai org.
Our agents already help:
• Close deals
• Schedule intros
• Write proposals
• Manage token operations
8.3.2. What does building, integrating, and scaling AI agents within the project mean?
Building AI agents: use No-Code, Low-Code, or Full-Code tools; fine-tune and tokenize as NFTs. Integrating AI agents: connect to Web3, smart contracts, wallets, DeFi, oracles, and collaborate with agents/humans.
Scaling: expand via incubation, AI infrastructure, automated deployment, and decentralized Swarm Orchestration for efficient growth.
8.3.3. Is the platform for creating AI agents similar to a builder?
Yes, the AI agent creation platform functions as no-code tool for creating AI Agents. It offers a drag-and-drop interface for non-technical users and provides pre-made templates for various specialized tasks. This allows AI agents to be created with minimal coding experience.
8.3.4. What is the role of the orchestration layer in the project?
The orchestration layer (Layer3) is a protocol that automatically distributes tasks among AI agents, forms swarms for specific objectives, assigns roles, monitors execution, and manages data exchange between agents. This enables fully autonomous, scalable workflows for complex processes like DeFi trading, smart contract auditing, and data aggregation.
8.3.5. Can agent interaction be considered teamwork?
Yes, agent interaction is teamwork: the orchestration layer groups agents into swarms, assigns them specific roles (e.g., data collector, validator, executor), and coordinates their actions to solve tasks collaboratively—such as running DeFi strategies or auditing smart contracts—without human input.
8.3.6. Who is behind the development of the project? What is the team’s experience?
The Silicon Valley AI Agents LaunchPad project is led by an experienced team whose history with blockchain, AI, and investments dates back to Platinum Engineering in 2015, including co-founders Tetsuji Nagata (ex-Bloomberg) and Anthony Dzi (ex-Salesforce, Microsoft). The team includes experts from FAANG-level companies (Google, Meta, Tesla, etc.), OpenAI, and leading universities like Stanford and MIT, with a track record of advising over 350 crypto projects and building advanced AI solutions.
8.3.7. How can investors participate via the AAA token and what are they betting on?
Investors participate by acquiring the $AAA token through pre-sales or exchanges and staking it on the platform to gain access to early investment opportunities in promising AI/Web3 projects. By holding $AAA, they are betting on the rise of the AI-first Web3 economy and the ecosystem's growth, leveraging the token for utility, including accessing, building, and monetizing AI agents.
8.3.8. On which blockchains is the AAA token implemented and what are its functions?
The $AAA token is implemented on Solana and Base blockchains, supporting multi-chain compatibility for the platform's ecosystem. $AAA is the main utility token, giving holders access to advanced AI agents and early investment opportunities in AI/Web3 projects through staking. Users can use $AAA to create, customize, and monetize AI agents as digital assets. The token connects users within the autonomous AI-first Web3 economy and supports platform growth across major networks.
8.3.9. What is the project roadmap and how realistic is it? The project follows a roadmap that started with research in 2022 and focuses on building the core platform and infrastructure in 2024, including the AI Launchpad, marketplace, and agent creation tools. The plan aims for a full public launch of these features in 2025, scaling towards enterprise adoption and autonomous AI economies in 2026. This ambitious but realistic plan is grounded in the team's extensive experience since 2015 in AI, blockchain, and venture capital.
8.3.10. What stages are planned after 2026?
After 2026, the project focuses on fully realizing an autonomous, AI-first Web3 economy. This involves scaling the platform for widespread enterprise and institutional adoption, where AI agents operate increasingly independently to manage key functions like investments, governance, and business processes. The overarching vision is for these AI agents to become self-sufficient digital operators, driving efficiency and innovation across various industries with minimal human intervention.
8.3.11. How does the project plan to ensure profitability from day one?
The project plans to be profitable from the start by generating revenue from several sources: fees for launching and running AI agents, unlocking premium features, transaction fees on Layer 3, matchmaking services for founders and investors, consulting and incubation for startups (including token/equity shares), subscriptions for deal and analytics access, and fees from funding rounds and token or node sales.
8.3.12. What examples of AI agents can be created on the platform?
The platform supports a wide range of AI agents, including:
Automation agents (content creation, contract testing, web scraping, task tracking)
Agents for founders (business scaling, proposal writing)
Agents for investors (deal sourcing, analysis, due diligence)
B2B agents (customer interaction, service delivery, sales)
Consulting agents (personalized guidance)
Developer agents (workflow automation)
DeFi agents (trading, portfolio management, risk assessment)
Security agents (contract auditing, bridge monitoring)
No-code dApp agents (dApp generation, DAO setup, NFT creation)
Legal and compliance agents (legal advice, KYC/AML, transaction monitoring)
ESG agents (energy optimization, social impact tracking)
Community management, market sentiment, treasury, grants, and content creation agents
8.3.13. What key questions should an investor consider when evaluating the project?
When evaluating the project, an investor should consider the following key questions:
Conduct thorough independent due diligence and seek advice from qualified financial, legal, and tax professionals.
Be aware of the high level of risk associated with cryptocurrency investments and the potential for significant losses.
Understand that forward-looking statements are not guarantees of future results, and the accuracy of information is not guaranteed.
Study the project’s tokenomics, including total token supply, distribution among investor groups, cliff and vesting schedules, emission control, and mechanisms for managing liquidity and supply/demand imbalances.
Assess the project’s revenue model and its plans for achieving and maintaining profitability.
Understand the utility of the $AAA token within the ecosystem.
Study the project roadmap, its timelines and stages, keeping in mind that plans may change.
Research the team’s experience and biographies.
Assess how the project addresses market stability, resilience, and crisis protection.
Look for real value backing the token, such as contributions from incubated projects and AI-driven treasury management, rather than relying solely on hype.
Study the terms and conditions of the platform and investment agreements, including disclaimers
8.3.14. What additional criteria can help an investor distinguish a promising project from a passing trend?
Check if the project offers real utility and adoption potential, especially in AI and Web3, rather than relying on hype or speculation.
Look for backing by real businesses, tangible assets, and sustainable revenue streams from AI services—not just influencer marketing or market sentiment.
Review the tokenomics for long-term sustainability: controlled token emission, buyback and burn mechanisms funded by actual revenue, and staking that pays out from profits, not inflation.
Assess the project's risk management and its ability to adapt or pivot in response to market changes or crises.
See if there are clear systems for building trust and accountability, such as reputation systems for participants and AI agents based on verifiable performance.
Evaluate whether the economic and governance models are designed for sustainability beyond speculative cycles.
Projects focused on B2B use cases and automation, rather than only retail users, often have a more stable foundation.
Additionally, it’s wise to review the team’s background, the project roadmap, community engagement, and whether there have been independent security audits.
8.3.15. What is the role of partnerships in the project and what should investors pay attention to?
The project collaborates with major venture funds (Animoca Ventures, Platinum VC, Black Manta Capital Partners), tech companies and research centers (Google, Meta, OpenAI, Stanford, MIT, Berkeley), blockchain ecosystems (Solana Foundation, Ethereum Foundation, LayerZero Labs, Chainlink), and audit firms (Halborn, Certik, Hacken).
Investors should look at:
Whether partnerships are real and active: joint development, integrations, liquidity provision, or network access.
The reputation and status of partners.
How these partnerships support the project’s growth and sustainability: expanding opportunities, improving technology, enabling market access, compliance, and community development.
Evidence of active partnerships: joint announcements, participation in events, or mentions in the roadmap.
Partnerships strengthen the project’s technical base, liquidity, deal flow, and compliance
8.3.16. On which exchanges do you plan to be listed?
As you may know, our team has been in the market since 2015. Our PaloAlto AI Research Lab includes people with strong connections to many top exchanges. That’s why we can list on major exchanges like OKX, KuCoin, Huobi, and Bybit quite easily. As an incubator, we work with hundreds of projects and have introduced many of them to these exchanges. For example, we have listed at least 30 projects on KuCoin alone and have a good relationship with their entire team, including the CEO and Founder. The same applies to Bybit, OKX, and Huobi. Listing on Binance would be the best scenario for us, but it requires significant effort. We can’t promise anything, but we will do our best to get listed on top exchanges. We’ll also aim for leading launchpads like CoinList.
Summary: Listing on Tier 1 exchanges is realistic for us because we actively work with these platforms and bring many projects to them as an incubator. OKX, KuCoin, Bybit, Huobi, and similar exchanges are accessible for us. If anyone reading this has good contacts at Binance, we’d appreciate it if you could connect our co-founders and share your experience.
8.3.17. When is your token launch?
We believe the right time to launch is during a strong market uptrend. That’s why we are planning for Q4, when we expect the market to be on a sustained rise and overall sentiment to be positive. Our goal is to launch during a period of real market euphoria, so that organic demand can absorb our tokens and genuine FOMO will support the project’s momentum.
We are also very mindful about token allocations. We don’t oversupply launchpads or investors—instead, we intentionally keep everyone “hungry” by distributing fewer tokens than requested. We understand that tokens are our most valuable asset, and this strategy helps maintain healthy demand. Before allocating tokens to any investor, we carefully evaluate the value they can bring to the project and allocate accordingly—but always less than what is requested. This way, those truly interested in the project will buy additional tokens on the open market, creating organic demand and supporting long-term growth.
8.3.18. How big is your VC investors checks? what is the size of allocations are u giving to investors?
We are also very mindful about token allocations. We don’t oversupply launchpads or investors—instead, we intentionally keep everyone “hungry” by allocating fewer tokens than requested.
We understand that tokens are our most valuable asset, and this strategy helps maintain healthy demand. Before allocating tokens to any investor, we carefully evaluate the value Investor can bring to the project and allocate accordingly—but always less than what is requested.
This way, those truly interested in the project will buy additional tokens on the open market, creating organic demand and supporting long-term growth.
8.3.19. Even though your X account has 290k followers and your Telegram channel has 250k members, interaction levels are quite low. What is the reason for this, and how do you plan to address it?
We’ve spent the last 18 months deep-building an AI + L3 stack for other B2B teams, so socials were basically a changelog. No ads, no engagement farming → the feed looks calm.
But “calm” ≠ “empty.” Check the attached Twitter-Score screenshots: our main handle and both co-founders sit in the 90-plus percentile. That metric only spikes when serious builders, funds and top-tier KOLs follow you, so every like we do get is from someone who can move the needle. We’d rather have 100 sharp whales than 10 000 random folks.
Now that v1 is shipped we’re flipping to growth-on-GPU:
Phase
What we’re doing
Why it matters
1. Content v2
• Fast “alpha threads” with copy-pastable AI prompts
• 90-sec demos of agents earning yield
• Friday LLM-generated TL;DR on-chain stats
Adds value even for time-starved devs; keeps the OG whales hooked
2. Interaction loops
• Weekly X Spaces with AI/DeFi KOLs
• On-chain quests that drop NFT badges + gated Telegram roles
• Live “speed-run a bot” workshops
Converts lurkers into testers; rewards proof-of-work over vanity likes
3. Auto-growth stack
• In-house agent that A/B-tests hooks & headlines
• RLHF from the community to fine-tune copy in real time
Scales output without hiring an agency
4. Radical transparency
• Public Grafana board for CTR, retention, quest completions
• Quarterly retro AMA on what flopped & what shipped
Keeps us accountable and gives the whales skin in the feedback loop
Timeline & targets
T-0 (this month): first co-founder/KOL Space + quest drop
T+30 d: locked cadence → 3 signal-heavy posts per week
T+90 d: 5-10× current engagement organically, measured via public dashboard
Bottom line: we ran “ship > shill,” so metrics look sleepy. With v1 out, we’re switching to “ship and smart-shill,” powered by the same AI agents we sell. Expect the graphs to arc up—quality first, numbers second.
8.3.20. How active is your community?
We’re not starting from zero — we already operate at scale.
• 🐦 Twitter/X: 195,000+
• 💬 Telegram (Public + Regional): 263,000+
• 📺 YouTube: 9,000+
• 👥 Private groups: 30+ with over 50k insiders — including VCs, founders, ecosystem leads, and core contributors
Our agents are deployed across these groups — collecting insights, initiating intros, and maintaining network liquidity (intros to VCs, exchanges, MM, etc.).
This is working infrastructure of people actually building with us.
8.3.21. Are you a real team?
Yes! We are a team of real experts from Silicon Valley: engineers, academics, and investors. We are not anonymous devs hiding behind a meme.
We attend multiple IRL events every month, and you can find our co-founders regularly featured in live streams, interviews, and panels.
Check out our latest VC Brunch during Paris Blockchain Week:
8.3.22. Who’s on your team?
We’re not anon.
• Our team includes people from Google, Meta, Tesla, Amazon — we started as an Ai Research Lab
• Co-founders come out of Stanford, NASA, the UN, Salesforce, Bloomberg
But beyond CVs — what matters is output.
This project is born out of AI Research Lab, where we’ve launched multiple production-grade tools. AAA C(H+A)RM is one of them — and we’re building with a mix of:
• Full-time AI engineers
• Contributors from agentic open-source communities
• Real builders and founders using the tech for their own workflows
We are active contributors building and shipping
8.3.23. What proof do you have that you’re building a Layer 3? Why base it on Ethereum? Are you moving to Solana? For liquidity?
We’re currently building our own Layer 3 — a fork of a well-known Ethereum ZK Layer 2. This will act as a side-chain for Ethereum, purpose-built to handle large-scale orchestration of autonomous AI agents.
But to be clear:
• The testnet will launch in 2026, after our node sale.
• At this stage, we don’t need a full Layer 3 yet — because we don’t have hundreds of agents running on-chain.
• For now, most orchestration can be handled on Base or even Solana if needed.
We’re also exploring use cases inspired by Virtuals Protocol, and considering bringing our agents fully on-chain when the time is right. Stay tuned.
8.3.24. Web3 investors care about your crypto track record. Have you built in Web3 before? Any 100x projects?
Yes, we’ve been in the crypto space for nearly a decade. Key milestones:
• 2015 – Founded Platinum Engineering, focused on blockchain infrastructure and consulting.
• 2019 – Became one of the world’s leading crypto consultancies, advising 350+ projects on tokenomics, development, and listings.
• 2019 – Launched a Web3 VC fund and incubator.
• 2020 – Involved in early DeFi (e.g., Curve/Uniswap forks).
• 2020 – Co-created Sidus Heroes, a Web3 metaverse project that raised $20M in seed funding (co-led by Animoca Brands).
• 2021+ – Built a custom on-chain CRM system, which evolved into our AI-agent platform.
• Co-founder Azam Shaghaghi – Adviser to The Sandbox, famous crypto / space / ai journalist helped raise substantial funding. (You can google her pictures with Elon Mask, Vitalik Buterin and many others tech celebrities)
• Co-founder Antony – Personally raised $10M out of the $27M total for Sidus.
8.3.25. You said you’ve raised $4M. What’s your runway? How are you using the funds? What are your revenue and growth metrics?
We’ve raised $4M through equity and token sales.
Here’s how we allocate it:
• A large portion goes into training custom LLMs — both for our internal R&D and for paying clients who want tailored AI agents.
• We cover operational costs: team salaries, business development, sales, engineering. Our core team is currently ~35 people.
• We maintain technical infrastructure — including servers, architecture, and deployment tools.
As for revenue:
We generate income through AI agent deployments for enterprise clients. Growth metrics and revenue numbers are available in our white paper
8.3.26. Can you withstand sell pressure in the first two weeks? What about after every unlock? Have you allocated funds for that? What’s your launch strategy?
We’ve designed our token strategy intentionally to avoid short-term dumps.
• We don’t over-allocate to investors — only a select few got into the private rounds, and we picked them carefully. Purely diamond hands They’re long-term aligned.
• No airdrops. No massive KOL shilling overpaid in tokens. No launchpad with flippers / refund community.
• Even the decent launchpads and real influencers get only small allocations, and always under strict vesting.
Yes — some sell pressure is inevitable. But we expect strong buy-side interest, because:
👉 You need the token to create an agent
👉 You need the token to trade an agent
👉 You need the token to connect an agent to twitter / discord/ rag memory / onchain activity etc
👉 You need the token for agent-to-agent orchestration
In other words, every meaningful interaction on the platform requires the token. That creates continuous, natural demand.
We’re not just selling hype — we’re selling utility.
8.3.27. You’ve been around since 2023. Do you have a working product? Can I try it? Is it open to investors?
Yes, we’ve been building actively since 2023.
We have a working B2B product, used by several clients — including VC funds, Web3 teams, and ecosystem foundations.
Want to test it?
→ Book a call with our B2B Sales
→ We’ll walk you through a demo and give you SDK access.
→ If relevant, we might even give you access to our GitLab repo.
That said — the retail-facing product isn’t live yet. And that’s exactly why we’re conducting the node sale and building an orchestration layer
But this isn’t just a “token / node sale.”
It’s part of our transition: from a closed B2B stack to a decentralized, permissionless, open-source platform — where anyone can build, run, or license their own AI Agent (a digital version of themselves).
We already have MVPs where you can spin up an agent that mimics your behavior.
The full open platform is coming — and we’re getting closer by the week.
8.3.28. Your roadmap seems ambitious. Can you really deliver on time? What if early investors lose patience?
We’re co-founders of Palo Alto Ai research lab with
- access to 200+ AI engineers
- we use AI agents to help build the platform itself.
A lot of what others build manually — we automate ( thanx to Cursor and Codex). That’s the point.
We’ve already shipped multiple internal MVPs, including:
• A promptless on-chain agent UX
• Conversational orchestrators
• Multi-agent frameworks for fundraising and BD
If you’re skeptical, we welcome it. We’re not afraid of tough questions.
In fact — if you’re a technical person and think something’s not feasible, reach out.
We’re happy to walk you through the architecture, discuss concerns, and (if you’re up for it) bring you in to help build.
8.3.29. How can I see the wallets that participated in the round?
We will have a Smart Contract Dispenser for investors to claim their tokens. You can use it to receive your tokens directly into your wallet.
8.3.30. You’re communicating with me from multiple accounts
We've been experimenting with LLMs for quite a while now — not just ChatGPT, but also Gemini, Grok, Mistral, and others. Our Telegram accounts are actually connected to AI agents that interact as if they were our team members. Basically, we've cloned our team into digital versions of themselves.
We’ve trained language models to communicate just like our real employees. It’s still in testing, but it's been running for about two years, and these agents are getting smarter every day.
If we’ve confused you at any point, we truly apologize — and we’d really appreciate any feedback on how we can improve the experience. We're based in Silicon Valley, and integrating LLMs into our daily workflow has been a core focus for us for a long time.
The goal is to automate more of our internal processes, so we’ve been training models on real team data to handle tasks like inbound communication. We've also started offering these AI agents to B2B clients — and they're already seeing great results. Of course, we know the tech isn’t perfect (yet), but it’s learning fast.
Let us know what you think — we’re always open to suggestions.
8.3.31. Different people from different accounts are trying to book time with me, and they’re not aware of what others have already discussed
That’s exactly what we’re building — a platform for orchestrating AI agents, enabling them to communicate with each other, share information, and operate within a unified workspace using a shared collaboration framework — Autonomous AI Agents Platform & Orchestration CRM / Layer 3 — “C(H+A)RM”.
We’re aware this is a real problem. Currently, each AI agent has its own memory, and they don’t always exchange information between one another.
The product we’re building is designed to solve exactly this — a system for orchestration and coordination of work between AI agents and humans. A shared memory, a shared context, and collaborative intelligence across all interactions.
8.3.32.So, which exchange are you going to be on?
As an incubator, we deal with numerous exchanges, and we help a lot of projects get listed on many decent exchanges, like KuCoin, Bybit, Huobi, OKX, and so on. We have even listed a couple of projects on Binance. And talking about our own project, of course, our main goal is to be on Binance. As you know, it's not only about money (listing on Binance costs between 1.5 to 3 million), but it's also about our community and other factors.
You are one of our community members, and we really appreciate that you are here and reading this. We need help to create big awareness about our project; only in that case can we get listed on Binance. So, being listed on Binance can be both a curse and a blessing for us.
The downside is that Binance would like to have big control over the project, tokenomics, and so on. This is good for us only if we have a very strong community, strong backers, and so on.
And we don't need to agree to the tough conditions of Binance—they will want to list us themselves. At the moment, we have already had successful negotiations with Bybit, KuCoin, Huobi, OKX, and other exchanges, which we call Tier-2. However, the only exchange that is truly Tier-1 is Binance. There are also exchanges like Coinbase, Kraken, Bitfinex, and so on. They are also considered Tier-1 exchanges.
The good thing for us is that if we have a really strong community, strong backers, and so on, we don’t need to agree to Binance’s harsh conditions — they will want to list us themselves.
Right now, we’ve already had successful negotiations with Bybit, KuCoin, Huobi, OKEx, and other exchanges we consider Tier 2.
However, the only true Tier 1 exchange is Binance, where it’s very tough to get listed.
There are also exchanges like Coinbase, Kraken, Bitfinex, and others that we also consider to be Tier 1 exchanges.
We’re negotiating with them as well, and it’s possible we’ll get listed there too.
listing on an exchange is not some sacred or super complicated thing for us, because we have listed a large number of projects before. To get listed, you just need to have a good, quality community and trading activity.
The bigger and stronger your community, the better conditions you can get. Of course, you also need the right contacts and the right decision-makers to help you get listed.
We have all of that.
If you can help us build a strong community around our project, then most likely we will get listed on Binance. But at the very least, Tier 2 exchanges are guaranteed for our project.
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