PaLM AI PALM
Quick Answer

Is PaLM AI halal?

No. PaLM AI is not considered halal, with a Shariah compliance score of 45/100 under our 27-point screening methodology.

Overall45Haram · Not Permissible
Riba51.9Mashbooh
Gharar48.2Mashbooh
Maysir35Haram
4551.9RIBA48.2GHARAR35MAYSIR
Shariah screening · tap a sub-dial
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MaysirSharia pillar · 35/100 · Avoid · 11 criteria

Haram. Prohibition of gambling and pure zero-sum speculation.

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Fraud & Scam Risk40
Use Case Legitimacy55
Core Protocol Business80
Revenue Model70
Launch Fairness60
Token Distribution65
Speculation / Utility Ratio25
Financial Status30
Token Purpose45
Speculation Controls35
Asset Backing35
How PALM compares
OctaSpace
72.2
ChainGPT
70.4
Spectre AI
49
AstraAI
45.1
PaLM AI (PALM)
45

Compare directly: vs ChainGPT · vs Spectre AI · vs AstraAI

Key facts
ChainEthereum
Last reviewed
Analyst summary

PaLM AI (PALM) is an ERC-20 token on Ethereum, not an independent blockchain with its own consensus, powering an AI chatbot/SaaS suite across Telegram, X, Discord, WhatsApp, and Shopify. Two conflicting audits exist: 0xScans (Dec 2023, 83/100, flags owner-centralisation) and SolidProof (Nov 2023, claims ownership renounced) — no top-tier firm has reviewed the contract. A 3% trading tax funds an ETH revenue-share pool for holders, a legitimate variable model, but a separate "Utility Hub" post promises team-guaranteed fixed staking returns — the single biggest Shariah concern, as guaranteed yield divorced from real profit/loss sits uneasily with Islamic finance principles.

The research

27-point Shariah breakdown of PALM

Islamic Finance Principles Assessment

Riba — Does PaLM AI involve interest?

PaLM AI's core revenue-share mechanism, funded by a 3% trading tax and ETH-denominated SaaS income, is structured as a variable profit distribution rather than fixed interest. However, a separate marketing claim promising "guaranteed" returns on a staking "Utility Hub" introduces language and structure resembling interest-bearing obligations. For Muslim investors, the underlying revenue-share model is defensible in principle, but the guaranteed-return claim is a real riba concern that should not be ignored.

Assessment: Moderate Riba Score: 51.9/100

Our methodology examines 10 criteria to evaluate how well PaLM AI avoids interest-based mechanisms.

PaLM AI's treasury is funded by a 3% trading tax and reportedly by ETH-denominated business revenue from a stated SaaS subsidiary ("Endobyte"), 50% of which is distributed monthly to holders proportional to their holdings. This resembles a profit-sharing arrangement tied to actual business performance rather than interest on deposits or bonds. No evidence in the available sources indicates treasury funds are held in interest-bearing bank accounts. However, audits note that marketing and development wallets retain manual token-swap capability, leaving treasury governance and fund segregation less transparent than ideal.

At the protocol level, PaLM AI does not run a lending or borrowing market, and no interest-bearing partnerships are documented in these sources. The closest yield mechanisms are Uniswap LP-token staking and the ETH revenue-share program, both funded from real trading/business activity rather than protocol-level interest. The exception is the "Utility Hub" staking feature, explicitly described in project marketing as offering a team-"personally guaranteed" return. A fixed, guaranteed yield promise detached from documented risk-sharing terms functions like an interest obligation and is the model's clearest riba-adjacent feature.


Gharar — How much uncertainty does PaLM AI involve?

PaLM AI carries a moderate degree of uncertainty: partial team transparency and third-party audits reduce it, while conflicting audit conclusions and undisclosed treasury mechanics increase it. Overall, meaningful information gaps remain that a cautious investor should weigh carefully.

Assessment: Excessive Gharar (High Uncertainty) Score: 48.2/100

Our methodology examines 15 criteria including team transparency, audit quality, and governance.

The project names four team members — Hela Atmani, Marc Pesah, Stefan Lechere, and Jonathan Pritchard — with Pritchard independently verifiable via a LinkedIn profile and matching email domain on the project's documentation site. A separate video source claims the founders are "fully doxxed" and mostly France-based, though this is not independently corroborated for all members in these sources. A claimed Google-tool integration was flagged by a reviewer as not an official partnership, indicating a disclosure-quality gap in the project's own marketing.

Two audits exist: 0xScans (December 2023, safety score 83/100, flags owner-controlled functions such as fee-setting, blacklisting, and trading pause as a medium centralisation risk) and SolidProof (November 2023, reporting no high/medium issues and claiming ownership renounced). These two findings directly conflict on whether owner control remains active, meaning the current risk profile is unclear. No audit from a top-tier firm such as Trail of Bits or Halborn was found specific to this contract, and the contract is verified on Etherscan without a directly submitted audit — an unaudited-by-tier-one-standards gap worth naming plainly.


Maysir — Does PaLM AI involve gambling or speculation?

PaLM AI is not a pure gambling instrument, since it underpins an active chatbot/SaaS business with a stated revenue-share model. However, its very small market capitalization, thin trading volume, and aggressive promotional language introduce real speculative dynamics in secondary markets. The final take is that maysir risk here stems more from marketing and market conditions than from the token's core design.

Assessment: Maysir / Qimar (Gambling) Score: 35/100

Our methodology examines 11 criteria to determine whether PaLM AI is a gambling instrument or a genuine economic tool.

Although PaLM AI operates an actual multiplatform AI chatbot business with claimed ETH revenue-sharing, its promotional materials display meme-like speculative traits: video titles referencing "100


The Full 27-Point Screening

1. Legitimacy (4 criteria)

CriterionScoreAnalysis
Team Transparency55/100Some founders are named and one (Jonathan Pritchard) is independently verifiable via LinkedIn with a matching email domain, but full team credentials and blockchain-specific track record are not established in the sources.
Fraud & Scam Risk40/100No direct hack/rug-pull against PaLM AI itself is documented, but a "guaranteed returns" staking claim and an unverified Google-partnership claim are red flags noted in the sources.
Use Case Legitimacy55/100Sources describe a specific AI-chatbot/SaaS use case with claimed real revenue, though scale remains small.
Ethical Practices80/100The project's own stated design (AI chatbot, SaaS tools, Web3 hardware) is not in a prohibited sector per the sources.

Summary: The project names a founding team with partial independent verification, no documented hack or rug-pull specific to PaLM AI, but carries unresolved marketing red flags including a claimed but unverified Google partnership and a "guaranteed returns" staking promotion.


2. Project Operations (9 criteria)

CriterionScoreAnalysis
Core Protocol Business80/100The base protocol's business is AI chatbot/SaaS tooling, not a prohibited activity, per multiple descriptive sources.
Transaction Fees45/100A 3% trading tax funds treasury/reward pools, but one audit shows the contract owner can unilaterally set fees, which weakens fairness assurances.
Treasury Assets40/100Treasury composition is barely disclosed beyond a note that marketing/dev wallets can manually swap tokens; no interest-bearing holdings are confirmed either way.
Revenue Model70/100Stated revenue comes from trading fees and AI/SaaS business income, with no lending or interest-based revenue described.
Transparency55/100Contract is verified on Etherscan and a GitBook whitepaper exists, but Etherscan shows no audit submitted directly, and conflicting third-party audits complicate transparency.
Governance30/100One audit explicitly flags owner-controlled fee-setting, blacklisting and trading-pause functions as a centralisation risk, contradicting a separate claim of renounced ownership.
Launch Fairness60/100Supply allocation figures (burn, liquidity allocation) suggest no obvious large insider carve-out, but no explicit fair-launch statement or presale disclosure was found.
Token Distribution65/100Sources give explicit distribution figures: burned supply, large liquidity allocation, and a small reserved portion, with no disclosed outsized team allocation.
Speculation/Utility Ratio25/100Small market cap, thin volume, and hype-driven marketing (e.g., "100x," "making millionaires") indicate speculation-dominant demand relative to disclosed utility.

Summary: PaLM AI runs an AI-chatbot/SaaS business on an Ethereum ERC-20 token with a trading-tax-funded treasury and a partial supply burn, but governance is centralised with contract-owner control that conflicting audits describe inconsistently.


3. Financial Health (4 criteria)

CriterionScoreAnalysis
Protocol Revenue70/100Revenue is sourced from trading tax and claimed SaaS business income, not interest-based lending.
Financial Status30/100Market data shows a very small, thinly traded asset, indicating limited financial stability.
Interest Assessment35/100The base protocol has no lending/borrowing, but a project-affiliated post explicitly promising "guaranteed" staking returns raises an interest-like concern.
Audit Quality55/100Two named audit firms (0xScans, SolidProof) with dated findings exist; one flags centralisation risk, and neither is a top-tier firm.

Summary: The project is a thinly traded micro-cap with fee- and SaaS-derived revenue rather than protocol-level lending, and has two lower/mid-tier third-party audits but no top-tier audit on file.


4. Token Economics (5 criteria)

CriterionScoreAnalysis
Token Purpose45/100The token is positioned with genuine utility (subscriptions, revenue share) but marketing also leans heavily on speculative hype.
Governance RightsN/ANo on-chain governance/voting mechanism for holders is described in the sources, and its absence is treated as neutral for a reward/utility token.
Rewards Distribution40/100Revenue-share rewards are variable and proportional, but a separate staking program is advertised with "guaranteed" returns, undermining the variable-reward framing.
Speculation Controls35/100A burn mechanism and trading tax exist as mild anti-speculation levers, but marketing materials strongly emphasize speculative upside.
Asset Backing35/100The token is said to be backed by SaaS/business revenue and ETH from revenue-share flows, but no disclosed reserve or collateral backing was found.

Summary: The token combines a genuinely variable revenue-share utility with a separately advertised "guaranteed" staking yield, and speculative marketing appears to dominate the token's actual use.


5. Staking Mechanism

PaLM AI 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: PaLM AI shows real, if small-scale, AI-utility ambitions and partial team transparency, but centralised contract control, inconsistent audit findings, and an explicit guaranteed-yield staking claim leave significant unresolved Shariah and legitimacy concerns.

Scoring note: Meme cap applied: overall limited to 45 (C13=25, low utility -> Haram); maysir governs and is independently disqualifying.

Sources consulted