Copresence

Name: Copresence
Brand: Copresence

AI Native

Next-gen photorealistic 3D avatars. Captured with just your phone. Get started for free.

Est 2021|Raised $26.4M|1 Ref Customers

LinkedIn 1K|Website|FTEs 13|HQ Zurich, Zurich, CH

Published Jul 30, 2026

01Common complaints

- If your procurement process requires publicly available enterprise compliance artifacts (SOC 2 Type II, ISO 27001) and a detailed security whitepaper, Copresence does not appear to publish these artifacts publicly. - If you need Android capture today: Copresence’s public materials indicate iOS-first availability with Android planned. - If you require high-volume avatar generation (hundreds or thousands per day) with predictable per-unit economics: API-first providers or custom infrastructure may be more cost-effective. - If your pipeline cannot tolerate instability associated with external tooling changes in Unreal/MetaHuman: MetaHuman-related workflows can be affected by tooling churn and plugin compatibility issues. - If you require full-body capture rather than head scans: confirm product scope with the vendor, as public materials focus on head scans.

Deal disqualifiers

Hard requirements for publicly available SOC 2/ISO documentation and detailed security whitepapers
Need for Android capture at present (Copresence lists iOS first and Android as planned)
Need for full-body avatar capture rather than head scans (public materials emphasize head scans)

Documented / implied limitations

Platform availability: iOS-first; Android capture is listed as planned.
Enterprise security transparency: SOC 2/ISO documentation and detailed IAM features (SSO/SCIM/audit logs) are not clearly documented publicly.
Ecosystem dependency: reliance on the Unreal/MetaHuman ecosystem introduces potential compatibility and stability risks.

Roadmap signals

Vendor materials reference evolving AI-driven avatar rendering capabilities and partner programs; some features are referenced as beta or available to select partners. Prospective customers should clarify what features are generally available versus in beta.

Scale limitations

Not publicly documented. Enterprises should request details on concurrency limits, processing time SLAs, storage and retention policies, API rate limits, and pricing for high-volume usage.

Potential reasons for customer churn (inferred / not well evidenced)

Public evidence on churn is limited. Plausible drivers to validate during reference checks include:

Asset quality that fails to meet production expectations in certain lighting, hair, or accessory edge cases
Necessity of manual cleanup to meet production standards
Subscription pricing model vs one-off needs
Pipeline friction arising from Unreal/MetaHuman version changes and plugin compatibility

02Why they buy

- Mobile capture workflow that generates head-scan–derived avatar assets with processing for hair, texture, and lighting adjustments as documented in vendor materials. - Integration tooling for MetaHuman import, including an import wizard or plugin to facilitate bringing Copresence exports into an Unreal/MetaHuman pipeline. - Support for common asset export formats (Blender, GLTF, MetaHuman) intended to fit creator and production workflows. Note: these attributes are primarily documented in vendor materials; independent validation via customer references or third-party evaluations is recommended.

03Field reports

Review platform coverage reality check

Copresence appears underrepresented on mainstream B2B review platforms. Searches did not surface dedicated product pages on major review sites in accessible results; some platform access is gated. As a result, most observable customer feedback comes from community forums, app marketplace reviews, and vendor-published materials.

Community/social quotes (neutral framing)

From an Unreal Engine community post sharing a Copresence workflow tutorial:

A community user described a quick face-scan workflow and noted a trial allowance for a limited number of avatars.

From community discussion referencing vendor legal pages:

Community posts referenced the vendor’s Terms of Service and Privacy Notices, stating that the vendor indicates avatars and related data remain the user’s intellectual property.

Community/social quotes (critical/observational)

There are few direct complaints about Copresence itself in accessible community sources. Reported workflow pain points that may affect Copresence users (due to MetaHuman/Unreal ecosystem dependencies) include plugin compatibility issues, missing menus, and occasional crashes in the broader MetaHuman community. These issues are typically associated with the wider ecosystem rather than Copresence specifically, but they can affect end-to-end workflows.

Reasons customers appear to choose Copresence (inferred)

Ability to create head avatars from mobile scans, which can be less expensive than studio photogrammetry for early-stage work
Exports for widely used tools (Unreal/MetaHuman, Blender, GLTF)
Potential for reduced time-to-avatar for demos, prototypes, and smaller studios

Partner story: jAMAZE collaboration (vendor-published)

Copresence describes a partnership where an agency used Copresence scanning to create interactive avatars and reports lower cost relative to photogrammetry studios and faster workflow times.

Observations: the narrative is vendor-published and does not provide independently verified KPIs (for example, quantified time savings versus baseline, cost per avatar, or rework rates).

Technical/academic-style disclosure: 3DBodyTech proceedings

Copresence is represented in a 3DBodyTech proceedings abstract describing a pipeline that generates avatar assets from smartphone scans in non-studio environments.

Strength: indicates engagement with technical and research communities.
Limitation: proceedings abstracts and conference papers do not substitute for large-scale production case studies or independent evaluations.

Vendor blog: accuracy post (vendor-published)

Copresence publishes posts that attempt to quantify accuracy for different capture modes.

Observations: these posts provide directional information but rely on vendor-published methodology and datasets. Independent benchmarks would provide stronger validation.

04Best fit

Company sizes

Indie to mid-market studios (very small to mid-market companies) building XR, game, or interactive demos
Agencies and experience studios (small to mid-market agencies) producing branded interactive 3D experiences
Enterprise innovation teams and pilot groups within larger organizations if security and procurement requirements can be addressed

Industries / verticals

Gaming and real-time 3D
XR training, simulation, and branded experiences
Virtual production and VFX experimentation
Interactive AI assistants for kiosks, showcases, and events

Roles and personas

Decision makers: Head of XR, VP Product (XR), Creative Director, Studio CTO
End users: Technical artists, Unreal developers, 3D generalists, pipeline TDs

Pain points addressed

Reducing the cost and friction of generating realistic digital human head assets from mobile capture
Reducing reliance on photogrammetry studios for early production and mid-fidelity needs
Accelerating MetaHuman-related workflows for scanning real people

05The pitch

What the product does (objective value proposition)

Copresence is a smartphone-based 3D avatar capture and export platform that generates 3D head avatar assets intended for photorealistic rendering and animation from a short mobile scan. The typical workflow is: 1) a user captures a scan in the Copresence iOS app, 2) assets are processed in Copresence’s pipeline, 3) users download or export the avatar assets via Copresence’s web app (and optionally integrate via an API). The product documentation and materials describe capabilities for hair handling, texture/albedo correction, lighting correction, and accessory handling, and document export paths to common content creation tools (e.g., Unreal Engine MetaHuman, Blender, GLTF). Official materials describe "in-the-wild" capture (scans captured outside controlled studio lighting) and report improvements in realism and robustness.

Target market and positioning

Based on Copresence’s site and documentation, the target segments include: - 3D artists and creators who need faster head/face asset creation - Game and XR developers seeking end-user avatar capture - Virtual production and VFX teams for higher-fidelity workflows - Enterprise and brand teams building interactive avatars (for example, AI assistants and demos) Positioning: mobile-based digital human creation with emphasis on export formats and MetaHuman import workflows rather than a closed virtual world.

Get a comprehensive analysis of Copresence including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →

Published Jul 30, 2026

01Common complaints

If your procurement process requires publicly available enterprise compliance artifacts (SOC 2 Type II, ISO 27001) and a detailed security whitepaper, Copresence does not appear to publish these artifacts publicly.
If you need Android capture today: Copresence’s public materials indicate iOS-first availability with Android planned.
If you require high-volume avatar generation (hundreds or thousands per day) with predictable per-unit economics: API-first providers or custom infrastructure may be more cost-effective.
If your pipeline cannot tolerate instability associated with external tooling changes in Unreal/MetaHuman: MetaHuman-related workflows can be affected by tooling churn and plugin compatibility issues.
If you require full-body capture rather than head scans: confirm product scope with the vendor, as public materials focus on head scans.

Deal disqualifiers

Hard requirements for publicly available SOC 2/ISO documentation and detailed security whitepapers
Need for Android capture at present (Copresence lists iOS first and Android as planned)
Need for full-body avatar capture rather than head scans (public materials emphasize head scans)

Documented / implied limitations

Platform availability: iOS-first; Android capture is listed as planned.
Enterprise security transparency: SOC 2/ISO documentation and detailed IAM features (SSO/SCIM/audit logs) are not clearly documented publicly.
Ecosystem dependency: reliance on the Unreal/MetaHuman ecosystem introduces potential compatibility and stability risks.

Roadmap signals

Vendor materials reference evolving AI-driven avatar rendering capabilities and partner programs; some features are referenced as beta or available to select partners. Prospective customers should clarify what features are generally available versus in beta.

Scale limitations

Not publicly documented. Enterprises should request details on concurrency limits, processing time SLAs, storage and retention policies, API rate limits, and pricing for high-volume usage.

Potential reasons for customer churn (inferred / not well evidenced)

Public evidence on churn is limited. Plausible drivers to validate during reference checks include:

Asset quality that fails to meet production expectations in certain lighting, hair, or accessory edge cases
Necessity of manual cleanup to meet production standards
Subscription pricing model vs one-off needs
Pipeline friction arising from Unreal/MetaHuman version changes and plugin compatibility

02Why they buy

Mobile capture workflow that generates head-scan–derived avatar assets with processing for hair, texture, and lighting adjustments as documented in vendor materials.
Integration tooling for MetaHuman import, including an import wizard or plugin to facilitate bringing Copresence exports into an Unreal/MetaHuman pipeline.
Support for common asset export formats (Blender, GLTF, MetaHuman) intended to fit creator and production workflows.

Note: these attributes are primarily documented in vendor materials; independent validation via customer references or third-party evaluations is recommended.

03Field reports

Review platform coverage reality check

Community/social quotes (neutral framing)

From an Unreal Engine community post sharing a Copresence workflow tutorial:

A community user described a quick face-scan workflow and noted a trial allowance for a limited number of avatars.

From community discussion referencing vendor legal pages:

Community posts referenced the vendor’s Terms of Service and Privacy Notices, stating that the vendor indicates avatars and related data remain the user’s intellectual property.

Community/social quotes (critical/observational)

Reasons customers appear to choose Copresence (inferred)

Ability to create head avatars from mobile scans, which can be less expensive than studio photogrammetry for early-stage work
Exports for widely used tools (Unreal/MetaHuman, Blender, GLTF)
Potential for reduced time-to-avatar for demos, prototypes, and smaller studios

Partner story: jAMAZE collaboration (vendor-published)

Copresence describes a partnership where an agency used Copresence scanning to create interactive avatars and reports lower cost relative to photogrammetry studios and faster workflow times.

Observations: the narrative is vendor-published and does not provide independently verified KPIs (for example, quantified time savings versus baseline, cost per avatar, or rework rates).

Technical/academic-style disclosure: 3DBodyTech proceedings

Copresence is represented in a 3DBodyTech proceedings abstract describing a pipeline that generates avatar assets from smartphone scans in non-studio environments.

Strength: indicates engagement with technical and research communities.
Limitation: proceedings abstracts and conference papers do not substitute for large-scale production case studies or independent evaluations.

Vendor blog: accuracy post (vendor-published)

Copresence publishes posts that attempt to quantify accuracy for different capture modes.

Observations: these posts provide directional information but rely on vendor-published methodology and datasets. Independent benchmarks would provide stronger validation.

04Best fit

Company sizes

Indie to mid-market studios (very small to mid-market companies) building XR, game, or interactive demos
Agencies and experience studios (small to mid-market agencies) producing branded interactive 3D experiences
Enterprise innovation teams and pilot groups within larger organizations if security and procurement requirements can be addressed

Industries / verticals

Gaming and real-time 3D
XR training, simulation, and branded experiences
Virtual production and VFX experimentation
Interactive AI assistants for kiosks, showcases, and events

Roles and personas

Decision makers: Head of XR, VP Product (XR), Creative Director, Studio CTO
End users: Technical artists, Unreal developers, 3D generalists, pipeline TDs

Pain points addressed

Reducing the cost and friction of generating realistic digital human head assets from mobile capture
Reducing reliance on photogrammetry studios for early production and mid-fidelity needs
Accelerating MetaHuman-related workflows for scanning real people

05The pitch

What the product does (objective value proposition)

a user captures a scan in the Copresence iOS app,
assets are processed in Copresence’s pipeline,
users download or export the avatar assets via Copresence’s web app (and optionally integrate via an API).

The product documentation and materials describe capabilities for hair handling, texture/albedo correction, lighting correction, and accessory handling, and document export paths to common content creation tools (e.g., Unreal Engine MetaHuman, Blender, GLTF). Official materials describe "in-the-wild" capture (scans captured outside controlled studio lighting) and report improvements in realism and robustness.

Target market and positioning

Based on Copresence’s site and documentation, the target segments include:

3D artists and creators who need faster head/face asset creation
Game and XR developers seeking end-user avatar capture
Virtual production and VFX teams for higher-fidelity workflows
Enterprise and brand teams building interactive avatars (for example, AI assistants and demos)

Positioning: mobile-based digital human creation with emphasis on export formats and MetaHuman import workflows rather than a closed virtual world.

Get a comprehensive analysis of Copresence including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →