The Elevator Pitch
ChainOpera started life as FedML—an academic, privacy-preserving federated-learning stack—and has since morphed into a full-blown decentralized AI-Agent network that wants to turn every user, GPU-owner and data-curator into a co-creator and co-owner of AI services.
Web3 economics (tokenised incentives, on-chain governance) are used to coordinate off-chain generative-AI and agent traffic.

1. Tech Pedigree: FedML → TensorOpera → ChainOpera

• FedML (2018-22) – open-source FL library; 3 000+ academic citations; battle-tested in medical & mobile.

• TensorOpera (2022-24) – commercial MLOps layer: GPU marketplace, model-serving, federated orchestration.

• ChainOpera (2024-…) – blockchain shell that adds Proof-of-Intelligence consensus, tokenised payments and DAO governance on top of TensorOpera.

Result: a closed loop that can train (FedML), deploy & monetise (TensorOpera) and self-govern (ChainOpera) without ever centralising data or model weights.

2. Stack in One Glance

3. Product Suite – Five Moving Parts

1. AI Terminal – mobile/desktop portal; one seed phrase unlocks 200+ community-contributed agents that can already trade on Uniswap, summarise PDFs and generate 3-D assets.

2. Agent Social Network – Twitter-like feed where agents post, follow and DM each other; human users can stake tokens to “sponsor” an agent thread, creating an attention economy.

3. Developer Platform – no-code drag-and-drop canvas; turn a GPT-4o fine-tune + wallet module into a deployable agent in <10 clicks; supports MCP, A2A and x402 payment headers.

4. Model & GPU Platform – federated parameter server + decentralised推理 cluster; GPU contributors join via io.net, Render or bare-metal; earnings proportional to tokens staked + FLOPs delivered.

5. CO-AI Alliance – industry consortium (Samsung, io.net, Render, TensorOpera, ChainOpera) pushing edge-AI hardware standards and a unified agent SDK.

4. Token Design – Proof-of-Intelligence
$COAI (ERC-20 + native L1) is minted when:

• an agent completes a verified task (model inference, DeFi swap, data labelling) – Intelligence Work

• a GPU node provides auditable compute – Resource Work

• a data contributor uploads certified datasets – Data Work

Five sinks recycle supply:

1. Launch-pad fee (new agents)

2. API call fee (paid by dApps)

3. Model-royalty (each agent must stake $COAI to publish)

4. Contributor incentive (yield farm for GPU/data)

5. Training-resource market (buy GPU-hours at discount vs fiat)

Inflation halves every 2 years; 35 % of lifetime emission earmarked for ecological incentives, 15 % for early community airdrops.

5. Ecosystem Score-Card (Sept 2025)

• Seed raise: US $3.5 M (2024 Q4), led by HashKey + Foresight; valuation US $30 M.

• Team: 30 people, mostly ex-Google, Meta, USC; 5 PhDs in FL/RL.

• GPU net: 14 k A100/H100 equivalents pledged via io.net partnership.

• Agents live: 217; top 3 earn > US $12 k monthly in API fees.

• Daily on-chain tx: ≈ 180 k (Arbitrum Orbit L3, settled back to Ethereum).

• Mobile hardware: DeAI Phone (beta 500 units) ships Dec 2025; Samsung Knox-secured wallet + local FL node.

6. Headwinds & Open Questions

• Cross-layer complexity: smart-contract slashing conditions must correctly mirror off-chain FL convergence proofs—still unaudited at scale.

• User stickiness: most Terminal traffic today is yield farmers testing new agents; retention after subsidy expiry unknown.

• Business-model durability: cheaper centralised inference (OpenAI, Together) can under-cut decentralised providers unless privacy or censorship-resistance is paramount.

• Regulatory grey-zone: agents that trade tokens or handle personal data may trigger MiCA or HIPAA compliance obligations; unclear how liability is split between creator, staker and DAO.

Bottom Line
ChainOpera is the furthest-along attempt to hard-wire federated learning into a crypto-economic flywheel.
If the team can shrink cross-stack friction and keep GPU supply ahead of ChatGPT-level pricing, it could become the “AWS of agentic commerce”—only this time the users own the platform, not Bezos.

The Elevator Pitch
ChainOpera started life as FedML—an academic, privacy-preserving federated-learning stack—and has since morphed into a full-blown decentralized AI-Agent network that wants to turn every user, GPU-owner and data-curator into a co-creator and co-owner of AI services.
Web3 economics (tokenised incentives, on-chain governance) are used to coordinate off-chain generative-AI and agent traffic.

1. Tech Pedigree: FedML → TensorOpera → ChainOpera

• FedML (2018-22) – open-source FL library; 3 000+ academic citations; battle-tested in medical & mobile.

• TensorOpera (2022-24) – commercial MLOps layer: GPU marketplace, model-serving, federated orchestration.

• ChainOpera (2024-…) – blockchain shell that adds Proof-of-Intelligence consensus, tokenised payments and DAO governance on top of TensorOpera.

Result: a closed loop that can train (FedML), deploy & monetise (TensorOpera) and self-govern (ChainOpera) without ever centralising data or model weights.

2. Stack in One Glance

3. Product Suite – Five Moving Parts

1. AI Terminal – mobile/desktop portal; one seed phrase unlocks 200+ community-contributed agents that can already trade on Uniswap, summarise PDFs and generate 3-D assets.

2. Agent Social Network – Twitter-like feed where agents post, follow and DM each other; human users can stake tokens to “sponsor” an agent thread, creating an attention economy.

3. Developer Platform – no-code drag-and-drop canvas; turn a GPT-4o fine-tune + wallet module into a deployable agent in <10 clicks; supports MCP, A2A and x402 payment headers.

4. Model & GPU Platform – federated parameter server + decentralised推理 cluster; GPU contributors join via io.net, Render or bare-metal; earnings proportional to tokens staked + FLOPs delivered.

5. CO-AI Alliance – industry consortium (Samsung, io.net, Render, TensorOpera, ChainOpera) pushing edge-AI hardware standards and a unified agent SDK.

4. Token Design – Proof-of-Intelligence
$COAI (ERC-20 + native L1) is minted when:

• an agent completes a verified task (model inference, DeFi swap, data labelling) – Intelligence Work

• a GPU node provides auditable compute – Resource Work

• a data contributor uploads certified datasets – Data Work

Five sinks recycle supply:

1. Launch-pad fee (new agents)

2. API call fee (paid by dApps)

3. Model-royalty (each agent must stake $COAI to publish)

4. Contributor incentive (yield farm for GPU/data)

5. Training-resource market (buy GPU-hours at discount vs fiat)

Inflation halves every 2 years; 35 % of lifetime emission earmarked for ecological incentives, 15 % for early community airdrops.

5. Ecosystem Score-Card (Sept 2025)

• Seed raise: US $3.5 M (2024 Q4), led by HashKey + Foresight; valuation US $30 M.

• Team: 30 people, mostly ex-Google, Meta, USC; 5 PhDs in FL/RL.

• GPU net: 14 k A100/H100 equivalents pledged via io.net partnership.

• Agents live: 217; top 3 earn > US $12 k monthly in API fees.

• Daily on-chain tx: ≈ 180 k (Arbitrum Orbit L3, settled back to Ethereum).

• Mobile hardware: DeAI Phone (beta 500 units) ships Dec 2025; Samsung Knox-secured wallet + local FL node.

6. Headwinds & Open Questions

• Cross-layer complexity: smart-contract slashing conditions must correctly mirror off-chain FL convergence proofs—still unaudited at scale.

• User stickiness: most Terminal traffic today is yield farmers testing new agents; retention after subsidy expiry unknown.

• Business-model durability: cheaper centralised inference (OpenAI, Together) can under-cut decentralised providers unless privacy or censorship-resistance is paramount.

• Regulatory grey-zone: agents that trade tokens or handle personal data may trigger MiCA or HIPAA compliance obligations; unclear how liability is split between creator, staker and DAO.

Bottom Line
ChainOpera is the furthest-along attempt to hard-wire federated learning into a crypto-economic flywheel.
If the team can shrink cross-stack friction and keep GPU supply ahead of ChatGPT-level pricing, it could become the “AWS of agentic commerce”—only this time the users own the platform, not Bezos.