Islamic Finance Principles Assessment
Riba — Does LibertAI involve interest?
LibertAI's disclosed activities center on fee-for-service AI compute and token-gated API access, not on interest-bearing lending or borrowing. No source describes treasury funds being placed in interest-bearing instruments or riba-based yield products. On the available evidence, LibertAI itself does not appear to be a riba-generating structure, though the opacity of its treasury and revenue disclosures means this conclusion rests on absence of evidence rather than explicit confirmation.
Assessment: Moderate Riba
Score: 53.1/100
Our methodology examines 10 criteria to evaluate how well LibertAI avoids interest-based mechanisms.
LibertAI's revenue model, as described in its litepaper and product materials, is straightforwardly fee-for-service: users pay in LTAI for text-generation, premium API tiers, and personalized knowledge bases. No source discloses how these fees are held, invested, or distributed once collected, nor is there any treasury financial statement available. There is no mention of the project's reserves being parked in interest-bearing accounts, money-market instruments, or conventional bonds. Absent such disclosure, there is no direct evidence of riba in the revenue or treasury layer, but the lack of transparency itself is a fairness concern worth flagging separately.
The core business is AI inference and compute provisioning, not a lending or credit facility. The litepaper's passing reference to "extended decentralized financial applications (DeFi)" is vague and undetailed, and no source describes LibertAI operating a lending pool, borrowing facility, or interest-bearing partnership at the protocol level. Node operators and model contributors are compensated for actual compute/data work rather than for supplying capital at interest. Based on what is disclosed, the business model does not structurally depend on interest income, which is a meaningfully positive signal, though the vague DeFi language deserves monitoring as the protocol evolves.
Gharar — How much uncertainty does LibertAI involve?
LibertAI carries a moderate degree of uncertainty, driven less by its core AI utility and more by unanswered structural questions. Product functionality (chat app, APIs, over 1.7 million completions) is concretely demonstrated, which reduces gharar around what the platform actually does. However, missing tokenomics detail, no confirmed dedicated audit, and unclear governance push overall uncertainty higher than is comfortable for a considered investment.
Assessment: Excessive Gharar (High Uncertainty)
Score: 48.2/100
Our methodology examines 15 criteria including team transparency, audit quality, and governance.
Team transparency is partial: Jonathan Schemoul (also known as Moshe Malawach), Founder of Aleph.im and a founding LibertAI member, is publicly identifiable with a LinkedIn presence and conference appearances at EthCC Cannes, Crypto Coin Show, and CryptoDays Madrid. However, a full roster of co-founders or employees with verifiable credentials is not detailed in available sources. GitHub repositories support an open-source claim for the codebase, which is a meaningful transparency plus, but the absence of a complete public team profile leaves some identity-related uncertainty unresolved.
No security audit specifically covering LibertAI's smart contracts or the LTAI token was located in the research. Several Halborn audit reports appear in the broader source set, but all pertain to unrelated projects (Substance Exchange, SSP Wallet, GoKite-AI, various Solana programs), not LibertAI itself. This is a real and should be named plainly: an unaudited protocol carries elevated technical and financial risk that ordinary users cannot independently verify. Combined with undisclosed treasury composition, governance structure, and token launch/vesting details, documentation-level gharar is substantial and warrants caution.
Maysir — Does LibertAI involve gambling or speculation?
LibertAI does not exhibit gambling-like mechanics in its core design; it is a functioning AI compute and inference marketplace rather than a wagering or zero-sum betting product. What distinguishes it is demonstrable productive use — token-gated API access, chat tools, and an agents framework — rather than payout structures dependent on chance. Speculative trading of LTAI on secondary markets is a separate matter from the protocol's own design.
Assessment: Moderate Maysir (High Risk)
Score: 53.2/100
Our methodology examines 11 criteria to determine whether LibertAI is a gambling instrument or a genuine economic tool.
LibertAI's utility is genuine and verifiable: it provides decentralized LLM inference, a Telegram bot, OpenAI/Anthropic-compatible APIs, and confidential AI via trusted execution environments, with reported usage exceeding 1.7 million text completions. Token holders access tiered API plans and personalized knowledge bases, and compute/model contributors are rewarded for actual hardware provisioning and data contribution. This activity-for-value exchange is productive economic behavior, structurally distinct from maysir, where outcomes hinge purely on chance rather than delivered service or work.
Weighed against this genuine utility, LTAI still trades actively on Base and Solana exchanges, and like most tokens it is exposed to speculative trading, price volatility, and momentum-driven behavior in secondary markets. This speculation, however, arises from third-party trading conduct rather than the protocol's own design, and per the applicable judgment principle it should not be treated as decisive against the coin itself. On balance, the presence of real utility and active development tips the maysir assessment toward acceptability, even as investors should recognize that secondary-market volatility is a genuine practical risk.
The Full 27-Point Screening
1. Legitimacy (4 criteria)
| Criterion | Score | Analysis |
|---|
| Team Transparency | 60/100 | A named, traceable founder (Jonathan Schemoul/Moshe Malawach, also Aleph.im founder) is documented, though the wider team is not fully disclosed in these sources. |
| Fraud & Scam Risk | 60/100 | No fraud, hack, or rug-pull indicators specific to LibertAI appear in the sources, though independent verification is limited. |
| Use Case Legitimacy | 80/100 | Sources describe a live decentralized AI chat/API product with over 1.7 million completions, indicating genuine utility rather than pure hype. |
| Ethical Practices | 85/100 | The project's own design is a privacy-focused decentralized AI compute service with no haram-oriented purpose described. |
Summary: LibertAI has at least one named, traceable founder and a functioning AI product, with no fraud or rug-pull indicators found tied to the project itself in these sources.
2. Project Operations (9 criteria)
| Criterion | Score | Analysis |
|---|
| Core Protocol Business | 80/100 | The base protocol is a decentralized AI compute/inference network, not a prohibited sector. |
| Transaction Fees | 30/100 (low evidence) | The sources do not describe how LTAI transaction fees are burned, retained, or distributed. |
| Treasury Assets | 30/100 (low evidence) | Treasury composition for LibertAI is not disclosed in these sources. |
| Revenue Model | 55/100 | Revenue appears to come from token-priced API usage, a fee-for-service model, but full mechanics are not detailed. |
| Transparency | 70/100 | Public documentation and a GitHub repository support an open-source, disclosed architecture. |
| Governance | 35/100 (low evidence) | No governance model or decentralization structure for LibertAI is described in the sources. |
| Launch Fairness | 30/100 (low evidence) | No launch fairness, pre-mine, or initial distribution details for LTAI were found. |
| Token Distribution | 30/100 (low evidence) | No breakdown of LTAI token distribution across team, investors, or community was found. |
| Speculation/Utility Ratio | 60/100 | Described uses (API access, agent deployment, compute rewards) suggest genuine utility, but the balance versus speculative trading activity is not detailed. |
Summary: The base protocol is a decentralized AI compute network built on Aleph.im offering chat, API, and confidential-inference services, but fee handling, treasury composition, governance, and token distribution/vesting details are not disclosed in these sources.
3. Financial Health (4 criteria)
| Criterion | Score | Analysis |
|---|
| Protocol Revenue | 55/100 | Revenue is described as fee-for-service AI usage rather than interest-based, though not fully documented. |
| Financial Status | 35/100 (low evidence) | No market-cap stability data or financial statements for LibertAI were found beyond confirmation of exchange listings. |
| Interest Assessment | 65/100 | Documentation describes an AI compute/API service with no lending or borrowing feature mentioned at the protocol level. |
| Audit Quality | 15/100 (low evidence) | No security audit specifically covering LibertAI or the LTAI token was found among the retrieved sources; audits found belong to unrelated projects. |
Summary: Revenue appears to be fee-for-service API usage with no evidence of protocol-level lending or interest, but no audit of LibertAI/LTAI could be found among the sources.
4. Token Economics (5 criteria)
| Criterion | Score | Analysis |
|---|
| Token Purpose | 75/100 | LTAI is described as granting access to AI features, API tiers, and contribution rewards, indicating a genuine utility purpose. |
| Governance Rights | N/A | No token holder governance rights are described in the sources, and this appears to be a simple absence rather than a flagged concern. |
| Rewards Distribution | 55/100 | Rewards for node/model contributors are tied to actual compute/model contribution activity, but exact reward formulas are not disclosed. |
| Speculation Controls | 25/100 (low evidence) | No vesting, lockup, or other anti-speculation controls for LTAI are described in the sources. |
| Asset Backing | 55/100 | The token is backed by ecosystem utility (service access, compute rewards) rather than a hard asset, per the available descriptions. |
Summary: LTAI functions as a utility token granting service access and contributor rewards, but governance rights and anti-speculation controls are not documented.
5. Staking Mechanism
LibertAI has no native staking mechanism, so these five criteria are not applicable and are excluded from the score entirely rather than counted as zeros.
Overall Assessment: LibertAI presents as a genuine, utility-driven decentralized AI project rather than a meme coin, but significant gaps in disclosed audits, treasury, governance, and distribution data limit full Shariah-compliance verification from these sources alone.
Written by ThanvirFounder, Ex Director S&P Global Energy
Reviewed by Imam Omar SiddiqiShariah Scholar