---
title: "ElevenAgents | Ethical Stack"
url: https://ethicalstack.ai/products/elevenagents/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# ElevenAgents

Builds conversational voice agents with speech recognition, turn taking, tools and generated speech.

Canonical profile: https://ethicalstack.ai/products/elevenagents/

Scope: Hosted ElevenAgents builder and agent runtime; underlying realtime model can be selected.

Published overall: 2.6; 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/elevenagents/#energy

The public service documents a hosted route, but no comparable energy or clean-electricity report was found.

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

Argument: This hosted audio service profile scores disclosed deployment choices and operating controls, not measured energy savings. The reviewed product and company materials do not publish request-level electricity, an attributable data-center energy mix, or verified clean-power procurement for this service.

Type: argument; confidence: medium

Scope (dimension): ElevenAgents

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Comparable per-minute or per-generation electricity, water use, lifecycle emissions and independently verified clean-power sourcing are not published in these sources.

```json
{
  "method": "practices-transparency-v1",
  "scope": "ElevenAgents",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "The official documentation identifies the hosted runtime boundary. It does not quantify electricity or lifecycle impact for this route.",
      "sourceUrls": [
        "https://elevenlabs.io/docs/eleven-agents/overview"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "No attributable clean-electricity procurement or hourly matching evidence was found in the cited primary material.",
      "sourceUrls": [
        "https://elevenlabs.io/careers"
      ]
    },
    "demand": {
      "score": 0,
      "reason": "No documented user controls for reducing energy demand were found in these product sources.",
      "sourceUrls": [
        "https://elevenlabs.io/docs/eleven-agents/overview"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [ElevenAgents product documentation](https://elevenlabs.io/docs/eleven-agents/overview) (primary; checked 2026-10-28)

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/careers) (primary; checked 2026-10-28)

## Training data

Finding: Depends on the model

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

The selected route can include several models, and the vendor has not published a complete audio-training rights audit here.

Reason: Choose and verify the named audio model and release used by ElevenAgents before evaluating pretraining rights.

Argument: This assessment covers ElevenAgents rather than claiming permission for an unnamed or changing model. The vendor’s terms explain how it may handle user-submitted prompts, recordings and outputs; those input rules do not establish rights to the original model training recordings, compositions, lyrics or performer voices.

Type: argument; confidence: medium

Scope (profile): Hosted ElevenAgents builder and agent runtime; underlying realtime model can be selected.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The serving model and release, training source ledger, composition and sound-recording permissions, performer consent or compensation, and removal outcomes remain unclear.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": null,
  "routeDependency": "Choose and verify the named audio model and release used by ElevenAgents before evaluating pretraining rights.",
  "modelReference": null
}
```

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/privacy-policy) (primary; checked 2026-10-28)

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/terms-of-use) (primary; checked 2026-10-28)

## Your data & privacy

Finding: 5/10

Assessment: https://ethicalstack.ai/products/elevenagents/#privacy

Submitted text, audio and outputs may be used to improve models unless you turn off sharing.

Reason: ElevenLabs says certain submitted data may be used to improve audio models; enterprise data is excluded by default, and account data-use opt-out applies prospectively. API Zero Retention Mode is enterprise-only and endpoint-specific: it covers eligible generation calls, but not uploaded Music audio, Music finetunes and their retained trained models, cloning samples, or Dubbing inputs/outputs. ElevenAgents normally retains transcripts and recordings for two years, configurable per agent; its optional per-agent ZRM limits stored call data and restricts Realtime availability to v1 Max in US/EU workspaces. Voice cloning uses voice verification, but the company says it cannot guarantee the source recording belongs to the requester. Check the exact route, deletion behavior and settings before submitting recordings.

Argument: ElevenLabs says certain submitted data may be used to improve audio models; enterprise data is excluded by default, and account data-use opt-out applies prospectively. API Zero Retention Mode is enterprise-only and endpoint-specific: it covers eligible generation calls, but not uploaded Music audio, Music finetunes and their retained trained models, cloning samples, or Dubbing inputs/outputs. ElevenAgents normally retains transcripts and recordings for two years, configurable per agent; its optional per-agent ZRM limits stored call data and restricts Realtime availability to v1 Max in US/EU workspaces. Voice cloning uses voice verification, but the company says it cannot guarantee the source recording belongs to the requester. Check the exact route, deletion behavior and settings before submitting recordings.

Type: argument; confidence: medium

Scope (profile): Hosted ElevenAgents builder and agent runtime; underlying realtime model can be selected.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Retention depends on route: ElevenAgents defaults to two years; eligible enterprise API requests may use ZRM, but clone samples, Music finetunes, and Dubbing remain outside coverage. Voice-captcha cannot guarantee ownership of the source recording.

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/privacy-policy) (primary; checked 2026-10-28)

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/docs/help-center/legal/is-my-data-used-to-improve-eleven-labs-ai-models) (primary; checked 2026-10-28)

- [ElevenAgents default conversation retention and configurable settings](https://elevenlabs.io/docs/eleven-agents/customization/privacy/retention) (primary; checked 2026-10-28)

- [ElevenLabs enterprise Zero Retention Mode endpoint eligibility](https://elevenlabs.io/docs/eleven-api/resources/zero-retention-mode) (primary; checked 2026-10-28)

- [ElevenLabs voice cloning and verification](https://elevenlabs.io/docs/eleven-api/concepts/voice-cloning) (primary; checked 2026-10-28)

## Openness

Finding: 2/10

Assessment: https://ethicalstack.ai/products/elevenagents/#openness

The application, hosted API and model serving are proprietary; public technical docs cover integration and selection.

Reason: Official materials describe ElevenAgents and how to use its hosted features, but do not publish its complete application or serving implementation under an open-source license. Public API documentation does not make the hosted model weights or full production stack inspectable.

Argument: Official materials describe ElevenAgents and how to use its hosted features, but do not publish its complete application or serving implementation under an open-source license. Public API documentation does not make the hosted model weights or full production stack inspectable.

Type: argument; confidence: medium

Scope (profile): Hosted ElevenAgents builder and agent runtime; underlying realtime model can be selected.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Complete source code, model weights, training recipe and independent reproduction are unavailable for this hosted service.

- [ElevenAgents product documentation](https://elevenlabs.io/docs/eleven-agents/overview) (primary; checked 2026-10-28)

- [ElevenLabs current audio models](https://elevenlabs.io/docs/overview/models) (primary; checked 2026-10-28)

- [ElevenLabs voice cloning and verification](https://elevenlabs.io/docs/eleven-api/concepts/voice-cloning) (primary; checked 2026-10-28)

## Worker protections

Finding: 1/10

Assessment: https://ethicalstack.ai/products/elevenagents/#labour

ElevenLabs publishes public company and careers information, but the reviewed pages do not establish worker protections across its AI supply chain.

Reason: 1 + 0 + 0 + 0 = 1/10. Documented worker protections; missing disclosure is an evidence gap.

Argument: The reviewed company and product material provides some public visibility into the organization, but not independently verified evidence on annotation, moderation, contractor pay, worker representation, grievance handling or remedies. This score reflects what the vendor documents, not a finding that workers are mistreated. This entry carries the same developer/operator finding to ElevenAgents; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): ElevenLabs: the documented developer/operator record, not proof of deployment of ElevenAgents.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Contractor conditions, worker voice and remedy, supply-chain coverage and independent worker-level assurance are not established in these sources.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "eleven",
  "company": "ElevenLabs",
  "scope": "ElevenLabs employees and AI supply-chain workers",
  "components": {
    "conditions": {
      "score": 0,
      "reason": "No clear public evidence on pay or working conditions across employees and contractors was found in the reviewed company and product pages.",
      "sourceUrls": [
        "https://elevenlabs.io/careers"
      ]
    },
    "voice": {
      "score": 0,
      "reason": "No worker grievance, representation or remedy process was found in the reviewed public pages.",
      "sourceUrls": [
        "https://elevenlabs.io/careers"
      ]
    },
    "assurance": {
      "score": 0,
      "reason": "No independent worker-level implementation audit was found in the reviewed public pages.",
      "sourceUrls": [
        "https://elevenlabs.io/careers"
      ]
    }
  },
  "disclosureLimited": true
}
```

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/careers) (primary; checked 2026-10-28)

## Military ties

Finding: 3/10

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

ElevenLabs reports deploying a voice agent for admissions at Ukraine’s Military Institute of Taras Shevchenko University.

Reason: 1 + 0 use restrictions + 0 enforcement & oversight + 2 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: ElevenLabs’ case study says it deployed an agent at VIKNU to answer prospective-cadet admissions questions about entry requirements, physical standards, degree programs and institute life. The institute trains future officers, so this is a bounded noncombat administrative deployment at a military educational institution. The source does not establish combat operations, targeting or military intelligence use. This entry carries the same developer/operator finding to ElevenAgents; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): ElevenLabs: the documented developer/operator record, not proof of deployment of ElevenAgents.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The customer contract, exact service components and safeguards for this deployment are not published in the case study; the report does not establish wider military deployments.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "eleven",
  "company": "ElevenLabs",
  "scope": "Company-level bounded noncombat admissions support at a military educational institution; no deployment is attributed to every profile or model.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "The case study does not establish a specific military-use restriction for this deployment.",
      "sourceUrls": [
        "https://elevenlabs.io/terms-of-use"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "No independent oversight or military-use review is described for this admissions agent.",
      "sourceUrls": [
        "https://elevenlabs.io/blog/ukraines-first-ai-admissions-officer-is-available-247-and-speaks-ukrainian"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "ElevenLabs publicly names the military institute and describes the deployed admissions workflow and use case.",
      "sourceUrls": [
        "https://elevenlabs.io/blog/ukraines-first-ai-admissions-officer-is-available-247-and-speaks-ukrainian"
      ]
    }
  },
  "disclosureLimited": true,
  "relationship": "limited-defense",
  "relationshipReason": "The vendor reports a live admissions information agent for a military institute that trains officers; the described task is administrative rather than combat or operational military support.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 6
}
```

- [ElevenLabs vendor case study: VIKNU admissions agent](https://elevenlabs.io/blog/ukraines-first-ai-admissions-officer-is-available-247-and-speaks-ukrainian) (primary; checked 2026-10-28)

- [ElevenLabs official company, product or policy source](https://elevenlabs.io/terms-of-use) (primary; checked 2026-10-28)

## BDS targets

Finding: Not listed

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

ElevenLabs was not named in the two official BNC technology and corporate target lists checked.

Reason: Campaign category, excluded from numerical scoring.

Argument: The official BNC corporate boycott and pressure guide and its No Tech campaign page do not name ElevenLabs among the current targets listed there. BDS uses selective, campaign-based targets; absence from these two lists is neither approval nor a broad assessment of company relationships. This entry carries the same developer/operator finding to ElevenAgents; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): ElevenLabs: the documented developer/operator record, not proof of deployment of ElevenAgents.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: This categorical check covers only the two linked BNC lists as reviewed on the date shown; local campaigns and future list updates may differ.

- [BNC guide to boycott and pressure targets](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-28)

- [BNC No Tech campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-28)

## 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/