---
title: "Arcee Chat | Ethical Stack"
url: https://ethicalstack.ai/products/arcee-chat/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# Arcee Chat

Browser-based assistant that Arcee lists as a free chat product.

Canonical profile: https://ethicalstack.ai/products/arcee-chat/

Scope: Arcee's consumer-facing chat web application; its model selector, account requirements and in-app controls were not inspectable from the public JavaScript shell.

Published overall: 3.2; 5/6 dimensions rated.

Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score.

## Energy practices

Finding: 2/10

Assessment: https://ethicalstack.ai/products/arcee-chat/#energy

The hosted chat product is identifiable, but route-specific physical resource disclosures and workload controls were not established.

Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

Argument: This assessment covers Arcee Chat's hosted web-app route. Arcee distinguishes web-app conversation retention from API retention, but this service policy does not report energy or resource use; the homepage describes the product and its free entry point, not its compute footprint.

Type: argument; confidence: medium

Scope (dimension): Arcee Chat hosted web application; selected model and serving region not established.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: No service-specific electricity mix, energy or water measurements, serving region, or user-facing resource controls were identified.

```json
{
  "method": "practices-transparency-v1",
  "scope": "Arcee Chat hosted web application; selected model and serving region not established.",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "Arcee identifies a hosted web-chat product and its retention boundary, establishing the service scope but not a quantitative workload report.",
      "sourceUrls": [
        "https://www.arcee.ai/",
        "https://docs.arcee.ai/policies/data-retention-policy"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "The reviewed consumer-chat materials do not disclose route-specific electricity sourcing or measured energy, emissions or water.",
      "sourceUrls": [
        "https://www.arcee.ai/",
        "https://docs.arcee.ai/policies/data-retention-policy"
      ]
    },
    "demand": {
      "score": 0,
      "reason": "The public app shell and homepage do not document user controls for model size, output length or workload with measured resource effects.",
      "sourceUrls": [
        "https://www.arcee.ai/",
        "https://chat.arcee.ai/"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [Arcee AI product homepage and Chat for Free link](https://www.arcee.ai/) (primary; checked 2026-10-24)

- [Arcee Chat web application](https://chat.arcee.ai/) (primary; checked 2026-10-24)

- [Arcee API and web-app data retention policy](https://docs.arcee.ai/policies/data-retention-policy) (primary; checked 2026-10-24)

## Training data

Finding: Depends on the model

Assessment: https://ethicalstack.ai/products/arcee-chat/#training-rights

The app's selected model is not identified in the public shell, so model-training corpus provenance and permission depend on an unverified in-app route.

Reason: The public Arcee Chat shell does not identify which model/version handles a conversation; apply corpus provenance and permissions only after the chosen model is established.

Argument: The homepage links to Arcee Chat but does not identify its model or training release, and the public application shell requires JavaScript so its model controls could not be reviewed. Arcee's policy separately permits some unpaid chat content to improve models, which does not establish permission for the models' original training corpora.

Type: argument; confidence: medium

Scope (profile): Arcee's consumer-facing chat web application; its model selector, account requirements and in-app controls were not inspectable from the public JavaScript shell.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Inspect the signed-in model selector or obtain product documentation identifying the exact model release, and separately assess service input use and model corpus rights.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": null,
  "routeDependency": "The public Arcee Chat shell does not identify which model/version handles a conversation; apply corpus provenance and permissions only after the chosen model is established.",
  "modelReference": null
}
```

- [Arcee AI product homepage and Chat for Free link](https://www.arcee.ai/) (primary; checked 2026-10-24)

- [Arcee Chat web application](https://chat.arcee.ai/) (primary; checked 2026-10-24)

- [Arcee AI Privacy Policy](https://www.arcee.ai/privacy-policy) (primary; checked 2026-10-24)

## Your data & privacy

Finding: 4/10

Assessment: https://ethicalstack.ai/products/arcee-chat/#privacy

The web application retains conversations for continuity; its policy does not state a fixed retention period, and unpaid-service content may be used for improvement unless users opt out through support.

Reason: The service states a product purpose for retaining chats and a support-based training opt-out, but does not establish a fixed retention window or user-facing deletion controls.

Argument: Arcee's retention policy explicitly says web-app conversation data is retained for a consistent product experience and distinguishes this from API zero-data-retention. Its privacy policy allows unpaid-service inputs and outputs to train or improve the service unless users contact support, while flagged or reported content remains eligible for safety improvement.

Type: argument; confidence: medium

Scope (profile): Arcee's consumer-facing chat web application; its model selector, account requirements and in-app controls were not inspectable from the public JavaScript shell.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The public app shell does not expose conversation deletion controls, exact retention duration, selected model/provider, or service region; review these in-product before submitting sensitive material.

- [Arcee API and web-app data retention policy](https://docs.arcee.ai/policies/data-retention-policy) (primary; checked 2026-10-24)

- [Arcee AI Privacy Policy](https://www.arcee.ai/privacy-policy) (primary; checked 2026-10-24)

- [Arcee Chat web application](https://chat.arcee.ai/) (primary; checked 2026-10-24)

## Openness

Finding: 2/10

Assessment: https://ethicalstack.ai/products/arcee-chat/#openness

Arcee Chat is a hosted web application; its serving implementation is not exposed for local operation in the reviewed sources.

Reason: The score applies to the hosted chat service, whose interface is available but whose implementation and serving stack are not documented for self-hosting.

Argument: Arcee lists Chat as a browser product and publishes a JavaScript web application, while its separate model downloads are distinct from the chat service. The reviewed public sources do not expose the app's serving code, selected model catalog or self-hosting package.

Type: argument; confidence: medium

Scope (profile): Arcee's consumer-facing chat web application; its model selector, account requirements and in-app controls were not inspectable from the public JavaScript shell.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The app's model selection, deployment stack and any local-run path were not established by the public shell and homepage.

- [Arcee AI product homepage and Chat for Free link](https://www.arcee.ai/) (primary; checked 2026-10-24)

- [Arcee Chat web application](https://chat.arcee.ai/) (primary; checked 2026-10-24)

## Worker protections

Finding: 1/10

Assessment: https://ethicalstack.ai/products/arcee-chat/#labour

Arcee reports that its team built Trinity and will expand; reviewed primary sources do not describe workforce conditions or worker channels.

Reason: 1 base + 0 documented conditions + 0 voice/remedy + 0 assurance = 1/10. Team and funding statements do not establish worker protections.

Argument: Arcee’s company update says the Trinity team built its 2025 model lineup and that the Series B will support hiring and growth. It does not set out pay, working conditions, supplier safeguards, or grievance processes for employees and model contractors, so this remains a disclosure gap. This entry carries the same developer/operator finding to Arcee Chat; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: low

Scope (dimension): Arcee AI: the documented developer/operator record, not proof of deployment of Arcee Chat.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: No worker pay, location, conditions, supplier coverage, voice or remedy system, independent audit, or follow-through outcomes were established in the reviewed official company sources.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "models/arcee-trinity",
  "company": "",
  "scope": "The named developer or operator",
  "components": {
    "conditions": {
      "score": 0,
      "reason": "Arcee discusses its team and hiring plans, but the reviewed company sources do not publish pay or working-condition standards for staff and contractors.",
      "sourceUrls": [
        "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models"
      ]
    },
    "voice": {
      "score": 0,
      "reason": "No employee or supplier grievance channel, non-retaliation commitment, or remedy mechanism was established in the reviewed sources.",
      "sourceUrls": [
        "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models"
      ]
    },
    "assurance": {
      "score": 0,
      "reason": "No independent worker-level audit or labor remediation outcome was established in the reviewed sources.",
      "sourceUrls": [
        "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models"
      ]
    }
  },
  "disclosureLimited": true
}
```

- [Arcee AI Raises Series B to Build the Future of American Open Models](https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models) (primary; checked not recorded)

- [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24)

## Military ties

Finding: 7/10

Assessment: https://ethicalstack.ai/products/arcee-chat/#military-contracts

Arcee publicly describes a civilian-science collaboration with DOE; no Arcee-Anduril or defense deployment link was established in reviewed official company materials.

Reason: 7 base + 0 safeguard adjustment = 7/10 (2 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record.

Argument: Arcee and DOE describe Genesis-Science-1 as an open model for scientific research with national laboratories shaping research tasks. That is a public civilian-government collaboration, not evidence of military use. Trinity’s OpenMDW license imposes no field-of-use restriction; no separate defense safeguard was found. This entry carries the same developer/operator finding to Arcee Chat; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Arcee AI: the documented developer/operator record, not proof of deployment of Arcee Chat.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: No military customer, Anduril relationship, defense contract, Granite-like model deployment, or military-use enforcement process is established in the reviewed official sources.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "models/arcee-trinity",
  "company": "",
  "scope": "The named developer or operator",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "OpenMDW-1.1 grants unrestricted use without a field-of-use restriction; that is a license scope finding, not proof of military deployment.",
      "sourceUrls": [
        "https://openmdw.ai/faq/",
        "https://huggingface.co/arcee-ai/Trinity-Mini"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "No monitoring or enforcement for military use of downloaded Trinity weights was established.",
      "sourceUrls": [
        "https://www.arcee.ai/blog/genesis-science-1",
        "https://huggingface.co/arcee-ai/Trinity-Mini"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "Arcee publicly describes its DOE and national-laboratory Genesis collaboration; the source scopes it to scientific research.",
      "sourceUrls": [
        "https://www.arcee.ai/blog/genesis-science-1",
        "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models"
      ]
    }
  },
  "disclosureLimited": true,
  "relationship": "civilian-government",
  "relationshipReason": "Arcee publicly collaborates with DOE and national laboratories on a scientific model. Reviewed company sources did not establish a defense relationship.",
  "score": 7,
  "baseScore": 7,
  "safeguardPoints": 2,
  "safeguardAdjustment": 0,
  "rawScore": 7,
  "cap": null
}
```

- [Arcee Genesis-Science-1 announcement](https://www.arcee.ai/blog/genesis-science-1) (primary; checked 2026-10-24)

- [Arcee AI Raises Series B to Build the Future of American Open Models](https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models) (primary; checked not recorded)

- [OpenMDW FAQ](https://openmdw.ai/faq/) (primary; checked not recorded)

- [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24)

## BDS targets

Finding: Not listed

Assessment: https://ethicalstack.ai/products/arcee-chat/#israel-palestine

Arcee AI is not named in the two official BNC campaign lists checked. This is a limited list check, not BDS approval.

Reason: Campaign category, excluded from numerical scoring.

Argument: The official BNC consumer boycott/pressure guide and No Tech campaign page do not name Arcee AI among their current targets. BDS uses selective campaigns, so absence from these lists is neutral and does not establish a clean record or approval. This entry carries the same developer/operator finding to Arcee Chat; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Arcee AI: the documented developer/operator record, not proof of deployment of Arcee Chat.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: This check covers only named targets in the two cited BNC campaigns; it does not cover all BDS campaigns, local groups, investments, suppliers, or downstream hosts. Lists and ownership may change.

- [BNC official campaign target guide](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-24)

- [BNC official No Tech campaign page](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-24)

## Reading the evidence

- Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns.

- Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct.

- Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment.

- Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap.

- Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical.

- No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score.

- Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification.

Methodology: https://ethicalstack.ai/methodology/