AsenseAIAbstract#
AsenseAI is a decentralized network that turns raw market data into predictive signals, and settles the work of producing them on-chain.
Financial forecasting today is concentrated. The firms with the best data pipelines and the most compute produce the best predictions, sell them to a narrow set of clients, and disclose neither their inputs nor their error rates. Retail participants get the output of that asymmetry — not access to it.
AsenseAI separates the work of prediction from the proof of it. Four layers move data from ingestion to insight: the AsenseAI Streaming Network, the Data Vaults, Neuron, and AsenseIQ. Each scales horizontally across independently operated nodes. A fifth layer, the Smart Contract Execution Layer, coordinates and settles the others without sitting in the latency path. The result is a forecasting system where speed and auditability are not traded against each other.
$ASENSE is the settlement asset for that network. It pays for agent activation, data access, and subscriptions; it rewards node operators and model builders; and it gates the parts of the system that need gating.
1. The Problem#
Three structural problems shape retail access to financial intelligence.
2. Approach#
AsenseAI addresses these by separating the four jobs a forecasting system has to do, and running each on a network of independently operated nodes rather than on one operator’s servers.
Ingestion, storage, and inference are computationally heavy and latency-sensitive, so they run off-chain across DePIN node classes. Coordination — task assignment, payment, staking, and proof recording — is trust-sensitive rather than latency-sensitive, so it runs on-chain. Keeping the settlement layer out of the request path means auditability does not cost throughput.
3. Architecture#
Five cooperating layers. Four do work; one keeps score.
| Layer | Component | Job | Node type |
|---|---|---|---|
| Ingestion | AsenseAI Streaming Network (OSN) | Pulls in on-chain and off-chain data and normalizes it | Relay nodes |
| Storage | AsenseAI Data Vaults | Encrypted, decentralized, indexed storage | Storage nodes |
| Intelligence | Neuron | Runs forecasting models and Prediction Agents | Inference nodes |
| Interface | AsenseIQ | Chat, dashboards, agent management | Client |
| Coordination | Smart Contract Execution Layer | Task assignment, payments, staking, proofs | On-chain |
3.1 Streaming Network (OSN)
Relay nodes pull on-chain and off-chain data — price action, volume, on-chain flows, news, social signal — and normalize it into a single schema before it enters the system. Two properties matter here. Scaling is horizontal by default: as throughput grows, relay nodes are added rather than existing nodes upsized. And validation happens before propagation: relay nodes attest to data authenticity before it reaches the model path, which keeps malformed or adversarial feeds out.
3.2 Data Vaults
Processed data is sharded and replicated across storage nodes, so no single node holds a complete or readable copy. Redundancy keeps data available when nodes go offline and makes tampering detectable rather than silent. Access rules are enforced by smart contract, so permissions are verifiable instead of trust-based. Retrieval is tuned for inference — Prediction Agents need low-latency reads over wide, sparse, heterogeneous data, so the Vaults combine structured stores with vector and document stores rather than forcing one engine to do everything.
3.3 Neuron
Inference nodes run the forecasting models and the Prediction Agents built on top of them. This is where a question becomes an answer.
3.4 AsenseIQ
The client layer: chat, dashboards, watchlists, and agent management. Users ask questions in plain English and choose which analyst persona answers — a broad market view, a technical read, or a fundamentals read.
3.5 Smart Contract Execution Layer
Assigns tasks, settles payments, holds stake, and records proofs. It coordinates the other four layers without ever sitting between a user’s request and their answer.
4. The $ASENSE Token#
$ASENSE is a utility token. It is the unit of account for everything the network produces and everything a user consumes.
The intended loop: users stake to get value, builders receive grants to create tools, tools generate fees, and the token captures that value.
5. Supply and Distribution#
Fixed supply of 10,000,000,000 $ASENSE. There is no mint function after deployment, so no additional tokens can ever be created.
| Bucket | Supply | Cliff | Vesting | Purpose |
|---|---|---|---|---|
| Presale | 30% | 1 month | 6 months, linear | Puts the token in the hands of the earliest community. 10% liquid at TGE. |
| Ecosystem & Community | 30% | 3 months | 18 months, linear | Grants, rewards, and contests that grow the platform. |
| Future Reserve | 20% | 3 months | 18 months, linear | Strategic partnerships, acquisitions, long-term planning. |
| Team | 10% | 3 months | 24 months, linear | Aligns core builders with long-term success. |
| Liquidity & Listings | 10% | None | Unlocked at TGE | Maintains a healthy two-sided market on exchanges. |
A cliff is a waiting period after launch before any tokens from that bucket begin releasing. Vesting is the gradual release that follows. Team tokens sit behind a 3-month cliff and then release in equal monthly amounts across 24 months.
6. Presale#
The presale sells from the 30% Presale allocation across seven phases. Each phase closes automatically once its supply cap is sold; an order that crosses a cap executes the excess at the next phase price.
| Phase | Price per $ASENSE |
|---|---|
| 1 | $0.001 |
| 2 | $0.002 |
| 3 | $0.003 |
| 4 | $0.005 |
| 5 | $0.010 |
| 6 | $0.012 |
| 7 | $0.014 |
Presale tokens follow the schedule in the table above: 10% liquid at the Token Generation Event, a one-month cliff, then linear release across six months.
Purchases are made with ETH, USDT, or USDC on Ethereum. No KYC is required to take part in the presale, though KYC may be required to trade on certain exchanges after listing. Referrals earn 10% of a referred purchase in $ASENSE, released on the same schedule as the referrer’s own tokens.
7. Risks#
Every project carries risk. These are the ones we consider material, and what we are doing about each.
Two further points that no mitigation removes. Predictions are model output, and models are wrong some of the time; past accuracy does not predict future accuracy. And token sales are restricted or prohibited in some jurisdictions — checking your own is your responsibility.
8. Roadmap#
To complete. This section needs dated milestones — presale phases, TGE window, exchange listings, mainnet node onboarding, and agent marketplace release. Write only what you can commit to; a roadmap with dates you miss costs more credibility than a roadmap with fewer entries.
9. Team and Governance#
To complete. Whitepapers are read for this section as much as any other. Name the core team with roles and relevant background, state whether identities are public, and describe how decisions get made — who controls the treasury, the multisig arrangement, and any plan to move to token-holder governance.
10. Legal Notice#
$ASENSE is a utility token that pays for access to the AsenseAI network. Nothing in this document is investment, financial, legal, or tax advice, an offer to sell securities, or a solicitation in any jurisdiction where such an offer would be unlawful.
Alerts and analytics are produced by automated models and can be wrong. Crypto asset prices are volatile and you may lose the entire amount you contribute. No return of any kind is promised, projected, or implied by this document.
Statements about future development are intentions, not commitments, and may change. Take part only if you understand the risks and it is legal to do so where you live.
Questions: contact@asenseai.com