Gaia 3.0

New to Gaia 3.0? Start with the story behind the release.

Our article walks through native Unity and Unreal Engine integration, local LLM support, and the broader Gaia 3.0 capability set—so this page can stay focused on product depth, screenshots, and the feature catalog.

Gaia 3.0 Unleashed: Game Engine Integration and Local LLM Support

Gaia platform

An integrated content creation and localization system for modern development.

Gaia is Tomori’s approach to game localization and content creation: a system designed around quality, control, efficiency, and deployment flexibility, with Gaia 3.0 extending that foundation through Unity, Unreal Engine, and local AI workflows.

Built from deep experience in localization, game production, and software operations, Gaia brings translation workspaces, QA, review workflows, reporting, content-creation tools, and configurable deployment options into one platform for teams shipping modern software and games.

Gaia translation workspace with segment editing, workflow filters, translation memory, and QA controls.
Translation workspace with segment-level editing, workflow controls, translation memory, and QA visibility.

Gaia 3.0 hero features

Local AI and engine integrations built for production teams.

Gaia Local LLM translation workflow showing model selection and generated target text.

Private AI workflows · GAIA-TRN-040

Local LLM

Draft translations and Adventure content against models running on infrastructure you control, with human review still at the center.

Read the Local LLM setup guide
Gaia Unreal Engine integration showing translation memory data available in the editor.

Unreal TM bridge · GAIA-INT-001

Unreal Engine integration

Bring Gaia translation memory into Unreal Editor and trusted development builds so teams can inspect localized strings in real game context.

Read the Unreal setup guide
Gaia Unity Engine integration showing live localized UI text validation.

Unity Engine bridge · GAIA-INT-002

Unity integration

Wire Unity UI text and workflow swatches to live Gaia translation memory, then validate localized strings in Play mode before release packaging.

Read the Unity setup guide

Gaia in practice

Product screens that show the workflow, not just the promise.

Gaia matrix grid view showing source strings, target translations, review states, and editing controls.
Matrix view Grouped source and target rows for multilingual editing and review.
Gaia QA screen showing a selected segment and QA findings.
QA review Segment-level findings for terminology, formatting, grammar, and delivery readiness.
Gaia productivity report showing segment-level activity, pace, contributor, role, and language data.
Operational reporting Productivity and workflow visibility for project follow-through.
Gaia team roster showing project leadership, language assignment, and team member status.
Team administration Assignment, language coverage, roster status, and workflow ownership in one project view.

Why Gaia is different

More than a generic subscription tool.

Gaia combines strong translation workflow fundamentals with deeper control over deployment, customization, and long-term ownership. Its goal is simple: help teams work faster, review better, and operate with greater confidence.

Precision

Context-aware review, glossary management, translation memory, automated QA, grammar review, numeric checks, formatting checks, and source-change detection help teams catch issues before delivery.

Control

Gaia can be deployed in customer-controlled environments and commercially scoped with source code access for teams that require deeper engineering ownership.

Efficiency

Translation memory pre-translation, auto-propagation, search and replace, matrix view, AI and machine translation suggestions, and multi-format import/export reduce repetitive work while preserving review quality.

Adaptability

Configurable solution scope, self-hosted deployment options, source code access, and non-recurring license structures support organizations with specific workflow, technical, and procurement constraints.

Feature highlights

Production workflow, review depth, and deployment flexibility.

Translation workspace

A browser-based workspace with filters, saved presets, comments, context panels, matrix view, translation memory reuse, glossary support, AI and MT suggestions, and production-focused editing modes.

Local LLM privacy

Local AI workflows let teams draft translations and content with models running on infrastructure they control, keeping sensitive strings away from cloud inference when privacy is the priority.

Unreal Engine integration

Gaia can bring translation memory into Unreal Editor and trusted development builds so teams validate localized strings and workflow status in real game context.

Unity integration

Unity teams can wire UI text and workflow swatches to live Gaia project data, then check localized strings in Play mode before release packaging.

Quality assurance

Built-in QA covers completeness, source-change detection, glossary compliance, placeholder and tag integrity, numeric fidelity, locale formatting, source-copy detection, grammar review, and length compliance.

Reporting and administration

Productivity reporting, workflow issue reporting, import history, and team roster views support project oversight and operational follow-through.

Deployment flexibility

Gaia can be commercially scoped for self-hosting, configurable solution packaging, source code access, and non-recurring license structures where needed.

View full Gaia feature catalog 100+ grouped capabilities

Open a category to scan the detailed feature set without turning the page into a long static checklist.

Core workspace 20 features

Navigation, access, organization boundaries, account controls, and project setup.

  • Workspace navigation
  • Light and dark mode
  • Notifications center
  • User profile settings
  • Project hub
  • Project progress overview
  • Team assignment workflow
  • Breadcrumb navigation
  • Browser-based access
  • Button layout (Gaia 2.0)
  • Duplicate project (Gaia 2.0)
  • Shared translator and reviewer slots (Gaia 2.0.1)
  • Effective permissions (Gaia 2.0.3)
  • Project templates (Gaia 2.0.7)
  • Enterprise SSO (Gaia 3.0.1)
  • SCIM user provisioning (Gaia 3.0.1)
  • Organization tenancy (Gaia 3.0.1)
  • Business unit partitioning (Gaia 3.0.1)
  • Portfolio overview (Gaia 3.0.1)
  • Organization AI translation policy (Gaia 3.0.1)
Translation productivity 38 features

Editing, reuse, local AI, translation memory, glossary, review, and import workflows.

  • Translation workspace
  • Segment filters and saved presets
  • Search and replace
  • Auto-propagation
  • Segment context panel
  • Segment comments
  • Production view
  • Matrix view
  • Pre-translation from TM
  • AI and MT suggestions
  • Translation memory
  • Glossary management
  • Bookmark segments (Gaia 2.0)
  • Integrated English Dictionary (Gaia 2.0)
  • @-mentions in segment comments (Gaia 2.0)
  • Synonyms search (Gaia 2.0)
  • Explained TM fuzzy match scores (Gaia 2.0)
  • Length policy controls: Strict / Soft / Off (Gaia 2.0)
  • Same-language review projects (Gaia 2.0)
  • Source change comparison (Gaia 2.0)
  • Bulk segment status (Gaia 2.0.2)
  • Locked segments (Gaia 2.0.2)
  • Version history and restore (Gaia 2.0.5)
  • Rename workflow steps (Gaia 2.0.6)
  • Cross-project TM participation (Gaia 3.0.1)
  • Glossary term suggestions (Gaia 3.0.1)
  • Glossary term approval and deprecation (Gaia 3.0.1)
  • Translation memory maintenance (Gaia 3.0.1)
  • Rich content preview (Gaia 3.0.1)
  • Grid layout setup (Gaia 3.0.1)
  • Offline translation drafts (Gaia 3.0.1)
  • Comment resolution workflow (Gaia 3.0.1)
  • Import parser validation dashboard (Gaia 3.0.1)
  • Local LLM translation (Gaia 3.0.1)
  • Reviewer disagreement workflow (Gaia 3.0.1)
  • MT quality estimation (Gaia 3.0.1)
  • AI-assisted rewrite modes (Gaia 3.0.1)
  • Google Sheets import connector (Gaia 3.0.1)
QA and linguistic quality 17 features

Automated QA, language-level review, terminology enforcement, LQA, and delivery risk checks.

  • Automated QA engine
  • Context review
  • Translation completeness checks
  • Source-change detection
  • Glossary compliance
  • Tag pairing integrity
  • Placeholder parity
  • Numeric fidelity
  • Locale number formatting
  • Source-copy detection
  • Grammar and writing review
  • Length compliance
  • Custom QA rule builder (Gaia 3.0.1)
  • Project QA issue settings (Gaia 3.0.1)
  • Guided QA false-positive control (Gaia 3.0.1)
  • Linguistic signals: readability and tone (Gaia 3.0.1)
  • LQA module (Gaia 3.0.1)
Operations 15 features

Reporting, project administration, client review, billing support, and delivery planning.

  • Productivity report
  • Workflow issue report
  • Import history
  • Team roster
  • Workflow issue target change detail (Gaia 2.0.1)
  • Project activity log (Gaia 2.0.4)
  • String status heatmap (Gaia 3.0.1)
  • Release readiness and approval gates (Gaia 3.0.1)
  • Quote estimate (Gaia 3.0.1)
  • Vendor rate cards (Gaia 3.0.1)
  • Client review portal (Gaia 3.0.1)
  • Executive dashboard (Gaia 3.0.1)
  • Invoice-ready reporting (Gaia 3.0.1)
  • Deadline and SLA tracking (Gaia 3.0.1)
  • Resource capacity planning (Gaia 3.0.1)
Game engine integrations 3 features

Unity, Unreal Engine, and platform integration points for development workflows.

  • Unreal Engine integration (Gaia 3.0)
  • Unity Engine integration (Gaia 3.0)
  • Platform API and webhooks (Gaia 3.0.1)
Packaging 4 features

Commercial and technical packaging options for controlled deployments and long-term ownership.

  • Self-hosted deployment
  • No recurring licenses
  • Configurable solution scope
  • Source code access
Specialized workflows 3 features

Dedicated workflows for narrative content, item creation, and creator-facing project work.

  • Adventure workspace (Gaia 2.0)
  • Adventure Setup: Local LLM AI writing (Gaia 3.0.1)
  • Forge hub (Gaia 2.0)

FAQ

Gaia FAQ by topic.

Gaia is built for teams that need translation speed, vendor flexibility, and strong operational control. These answers explain how Gaia handles AI, data ownership, customer-controlled deployments, and vendor workflows.

AI governance

AI is optional and policy-controlled.

Is Gaia an AI-first product?

No. Gaia is a translation management system and content workflow platform first. AI can be used where it adds value, but it is not the foundation of the product.

Gaia’s core value is structured project management, translation workflows, context review, terminology control, translation memory, collaboration, QA, and operational visibility. Teams that want AI assistance can use it in controlled ways; teams that do not want AI involved can still run Gaia as a robust, human-led localization environment.

Can Gaia operate without AI features enabled?

Yes. Gaia can be configured to operate without AI-assisted features. Teams can use project setup, translation management, review workflows, terminology, translation memory, quality checks, comments, context review, and delivery without relying on AI translation or AI-generated content.

This matters for organizations with strict data policies, client restrictions, vendor requirements, legal constraints, or internal preferences around human-only localization workflows.

What is Tomori’s stance on AI translation?

Tomori treats AI as a configurable tool, not a default requirement. Clients and product owners decide whether AI belongs in a project, which workflows may use it, and which providers or local models are acceptable for their environment.

Gaia can support AI translation through local models or approved external providers, but its workflow is built around human review, glossary consistency, quality control, and accountable production decisions.

Who controls which AI providers Gaia can connect to?

The customer controls which AI providers are approved for use in their Gaia deployment. Access can be restricted, configured, or disabled according to internal policies, procurement rules, security requirements, and client obligations.

Tomori does not require customers to use a specific AI provider as part of Gaia.

Data ownership and access

Customer data stays under customer control.

Does Gaia use project data to train AI models?

No. Gaia is a content and translation management system with translation memory, glossary management, QA, and review workflow at its core. Gaia does not train shared AI models on your project content.

Gaia is delivered as a custom software solution inside your organization or another customer-owned environment. Any future use of project data for model improvement, internal fine-tuning, or similar processes is a client-side decision and should happen only when it matches the organization’s policies.

What safety measures help prevent project data from being sent to an AI provider?

Gaia runs in your local environment or in a cloud environment chosen by your organization, so it can follow your network, security, and procurement policies. By default, Gaia does not send project content to the internet; outbound AI calls require an enabled workflow and an authorized external service.

Organization-level AI policy controls can restrict approved providers, automatic engine selection, prompt templates, outbound masking rules, and audit logging for applied AI or machine translation runs.

GAIA-UX-020 screenshot
GAIA-UX-020 video
Does Tomori have access to customer deployments or project content?

For customer-owned deployments, access is controlled by the customer. Tomori does not need unrestricted access to project content for Gaia to function.

If support, configuration, maintenance, or troubleshooting is required, access can be handled according to the customer’s internal policies and approval process. In practice, customer data access can be limited, temporary, scoped, or fully restricted depending on the deployment model and support agreement.

Who owns the content, translations, glossaries, translation memories, and project data inside Gaia?

The customer owns their project data. This includes source content, translations, glossaries, terminology databases, translation memories, comments, review notes, metadata, project history, and other customer-provided or customer-generated materials inside Gaia.

Gaia is designed to help organizations manage and control their localization assets, not transfer ownership of those assets to Tomori, vendors, or AI providers.

Can I train Gaia using my own content?

Yes. With the full source code option, your organization can adapt Gaia to its own policies, infrastructure, and engineering goals. That may include changing workflows, adding features, connecting internal AI services, or building training and improvement processes on systems you control.

Those changes can be handled by your internal developers or with support from Tomori, depending on how much customization you want after deployment.

Deployment control

Gaia can run in environments customers control.

Can Gaia be self-hosted or deployed in a customer-controlled environment?

Yes. Gaia can be delivered in a customer-controlled deployment model. This is useful for organizations with strict security, procurement, infrastructure, or data governance requirements.

A customer-controlled deployment can help organizations manage where Gaia runs, how access is governed, and how project data is handled. For teams that require stronger operational ownership, this model provides greater control over infrastructure, integrations, data flows, and long-term system governance.

Vendors and Tomori’s role

Gaia supports your operating model without becoming the vendor.

Can Gaia work with my existing translation vendors?

Yes. Gaia is designed to support vendor flexibility. Organizations can use Gaia with internal localization teams, external translation vendors, LQA partners, freelancers, reviewers, or hybrid operating models.

Gaia does not require customers to use Tomori as a translation provider, and it does not lock customers into a specific vendor network. The goal is to give organizations better control over their workflows, regardless of who performs the translation or review work.

Does Gaia replace translators or localization vendors?

No. Gaia is built to support translators, reviewers, localization managers, vendors, and content teams. It helps teams work with more structure, context, consistency, and operational control.

Gaia can reduce repetitive work, improve visibility, and support better decision-making, but professional judgment remains essential to high-quality localization. Translation requires context, tone, cultural understanding, product knowledge, player experience awareness, and quality review. Gaia is designed to strengthen that process, not remove the people responsible for it.

Does Tomori provide translation, LQA, FQA, or other related services?

No. Tomori’s role is custom software development and technical consulting. We do not provide translation, linguistic QA, functional QA, game testing, software testing, or other production localization services, and we do not recommend or broker external vendors for those services.

Gaia is designed to support the vendors your organization already trusts. You can add preferred translation, review, QA, and testing partners in the vendor section, manage their rate cards, and keep that operational data inside your own Gaia environment.

GAIA-RPT-010 screenshot
GAIA-RPT-010 video

Technical specifications

Built as a self-hosted web application with a standard API, database, and browser client.

The baseline below covers Gaia without adding a local LLM runtime, GPU inference server, or external managed AI capacity.

What is the technology used?

Technology used

Layer Technology Notes
Application model TypeScript monorepo with npm workspaces Separate frontend, backend, and shared contract packages.
Frontend React 19, Vite 8, TypeScript, Material UI 7, Emotion, TanStack Query, React Router, Socket.IO client Browser-based SPA for projects, translation workspace, QA, reports, settings, and admin flows.
Backend Node.js, TypeScript, Fastify 5, Zod, Socket.IO, Fastify CORS, Helmet, multipart upload handling API service for authentication, projects, segments, imports, exports, QA, reporting, integrations, and realtime collaboration.
Persistence PostgreSQL with Prisma 6 Recommended shared deployment path. A file-backed in-memory fallback exists for local or single-machine development.
File and content processing xlsx, fast-xml-parser, fflate, snappyjs, decompress, keynote-parser2, marked, DOMPurify Supports structured content import/export, spreadsheet handling, rich text/Markdown flows, and compressed package parsing.
Integrations Project API keys, webhooks, Unity and Unreal Engine bridge workflows Designed for game and software localization teams that need engine-side context and controlled automation.
AI and language providers Optional OpenAI, local LLM/Ollama-compatible endpoint, LibreTranslate, MyMemory, LanguageTool grammar checking Provider integrations are optional and are not required for the baseline server/client deployment.
Security and enterprise options Token-based Gaia auth, optional OIDC SSO, optional SCIM provisioning, online hardening with Helmet and strict CORS/Socket.IO origins Production deployments should use unique secrets, HTTPS, configured browser origins, and PostgreSQL persistence.
Quality and validation ESLint, TypeScript checks, Playwright e2e and performance probes, Prisma validation/migrations Repo scripts include build, typecheck, lint, e2e, database validation, and performance budget workflows.

Minimum recommended setting

Server and client baseline

Target Minimum recommended setting Notes
Server workload Gaia API plus PostgreSQL, no LLM runtime No GPU is required for this baseline. Add separate GPU/AI sizing only if a local LLM is deployed.
Server CPU 4 vCPU or modern quad-core CPU Increase for heavy concurrent imports, exports, reports, or large multi-team deployments.
Server memory 16 GB RAM 8 GB can work for small development use, but 16 GB is the practical floor for API plus PostgreSQL and large project data.
Server storage 100 GB SSD/NVMe minimum Size upward for database growth, uploaded source files, exports, backups, and audit history.
Server OS/runtime Linux server recommended; macOS or Windows acceptable for private/internal hosting. Node.js 24.x and PostgreSQL 16 are the inspected baseline versions. Keep Node, npm dependencies, Prisma migrations, and PostgreSQL backups under normal release control.
Server network HTTPS endpoint, stable LAN/WAN access, reverse proxy recommended Gaia exposes the browser app and /api service; production should configure allowed origins and TLS.
Client workload Browser client only Users do not need a local Gaia install.
Client CPU and memory Modern 2-core CPU with 8 GB RAM 16 GB RAM is better for users who keep many large projects, browser tabs, and media references open.
Client browser Current Chrome, Edge, Safari, or Firefox The UI is a modern SPA and should be kept on an evergreen browser version.
Client display and network 1366 x 768 minimum; 1920 x 1080 or larger recommended. Stable broadband or LAN connection. Gaia’s translation grid, QA, report, and engine-context screens are more efficient on larger displays.

How to buy

Choose the Gaia purchase model that matches your operating needs.

Option 1

Full source code

You can purchase the full source code of Gaia and expand or customize it to match your workflows. This will be deployed in your network environment. Comes with 1 month of free development.

Option 2

Custom environment

Tomori will search for hosting solutions for Gaia and make a custom environment with one of our partners. You can also customize Gaia in any way you want.

See Gaia in your workflow

Share your deployment constraints and review priorities. We will suggest the most relevant walkthrough and next steps.

Book a demo