AI agents that translate,
review, and QA for you.
Autonomous agents run entire jobs. LLMs work as translation engines. AI chat sees every segment. You stay in control — step in anytime.
Capabilities
AI-native from day one
AI Roles
A terminologist, a translator and a reviewer — each one a workflow step. Assign a role and it runs the moment its step is ready.
Project Chat
Ask about one job or a whole project. The assistant reads segments, TM matches, terminology and QA reports, and answers with sources.
LLM Translation
Use an LLM as a translation engine alongside classic MT. Tags preserved, glossary applied, cost recorded.
AI Match Repair
SoonWhen a TM match is close but not perfect, AI adapts it to the changed source. Minimal edits, maximum precision.
Reference Materials
SoonUpload style guides, briefs and past translations so AI roles and chat always carry the project context.
Translation Memory
Exact and context matches, fuzzy search with word-level diffs, and 8 leverage bands feeding analysis and pre-translation.
Rich Text Editor
ProseMirror-powered, with inline tag handling, segment split and join, and full RTL and CJK support.
Quality Assurance
Checks gate segment confirmation: empty target, number consistency, tag integrity, resegmentation integrity. Job-wide runs are published and stored.
21 File Formats
Word, Excel, PowerPoint, OpenDocument, HTML, XML, JSON and IDML — extracted and rebuilt through Okapi with structure preserved.
Other CAT tools bolt AI onto
decades-old architecture.
We built AI into
every layer from day one.
142 candidates → 38 approved into the term base
AI Roles
AI that works the job, not a chatbot
A terminologist, a translator and a reviewer. Each is a workflow step with its own resources and rules — assign it, and it runs the moment the step becomes ready.
Three roles
Term Expert builds the glossary, Translator translates or post-edits MT, Reviewer edits the text and runs QA.
Starts on its own
Chain a step to the previous one and the AI role starts automatically on submit or completion. A whole job can run from import to delivery.
The same resources as a human
Translation memory, term base and machine translation — the same attachments, the same access rights, the same audit trail.
Every edit is attributable
Each segment revision records which role wrote it. Token spend and cost are recorded per run.
Is #12 consistent with #5? They both mention the same feature.
Good catch. #12 translates "Translation Memory" as "Übersetzungsspeicher", but #5 uses "Translation-Speicher". Your term base has "Übersetzungsspeicher" as the approved term — I'd update #5.
Project Chat
Ask about the job — or the whole project
A conversational assistant scoped to a job, a set of jobs, or an entire project. Built for project managers and admins.
Real scope, not a guess
The assistant sees the job or project it was opened in, and only that.
Answers with sources
It names the segments and reports it used, so you can check the claim.
Streams as it goes
Answers appear as they are produced — no waiting for the full reply.
Conversations persist
Each conversation is yours and picks up where you left off.
Drücken Sie die Taste, um Ihr {1}Dokument{/1} zu exportieren.
Betätigen Sie die Taste, um Ihr {1}Dokument{/1} zu exportieren.
AI translation
An LLM as a translation engine
Gemini as an LLM engine and DeepL for classic MT — one interface, tag safety, glossary support and cost accounting. More providers are landing.
Tag integrity
Inline tags stay where they belong. Formatting survives the translation.
Any language pair
LLM engines handle practically any language. No per-pair setup.
Your keys, your account
Bring your own provider keys per organization. Keys are encrypted and verified before they go live.
Cost accounting
Token use and cost are recorded per call, per feature and per job.
Match repair
SoonAI repairs an imperfect match
AI adapts a close-but-not-exact TM match to what changed in the source. Minimal edits, maximum precision.
Automatic repair
Runs on the first fuzzy match of a segment. AI can be switched on and off at any time.
Change highlighting
You see exactly what AI changed — additions, deletions and edits are highlighted.
Apply in one click
Accept the repaired version in one click — or keep the original.
Structure preserved
Tone, terminology, style and tags survive. Only what changed in the source changes.
Klicken Sie auf die Schaltfläche, um Ihren Bericht zu exportieren.
Klicken Sie auf die SchaltflächeDrücken Sie die Taste, um Ihren BerichtDokument zu exportieren.
Intelligence
MT, AI roles and search
Choose your engines, bring your own keys, and see what every call cost.
DeepL
LiveHigh quality for European languages, with provider-side glossary support
Gemini
LiveLLM-backed translation with context and glossary carried in the request
Google Cloud
SoonBroadest language coverage
Tilmoch
SoonLocally built engine from Uzbekistan
MangiSoz
SoonLocally built engine from Kazakhstan
Self-hosted
SoonYour own models behind an OpenAI-compatible API
Key capabilities
Observability & evaluation
AI output is only the start. Keep the evidence.
Connect translation results to the model, checks, and human feedback behind them. Build a clearer picture of what happened—and what deserves a closer look.
Follow the output back to its origin
Keep results connected to the model and configuration that produced them. With Langfuse enabled, inspect the exact prompt and response.
See what the checks actually establish
Distinguish verified term renderings, conflicting proposals, and committed review outcomes. A missing exact term match is not automatically a translation error.
Connect human feedback to AI work
When people confirm translations or review term proposals, retain the outcome alongside the original AI candidate. Autonomous work does not require human feedback to be evaluated.
In-app evaluation workspace
Illustrative evidence
From candidate to outcome
Three example records · different evidence, clearly labeled
Translator
Canonical term rendering found
Exact rendering verified for the supplied term. Contextual suitability is a separate question.
Term Expert
Proposal edited, then approved
The review outcome is linked to the original AI proposal.
Reviewer
Revision committed
The recorded result reflects writeback and validation—not just the model’s verdict.
Interface concept · illustrative data
The evidence foundation is implemented. This in-app view is coming soon.
Your investigation workspace. Your Langfuse.
Optionally connect your organization’s Langfuse project for full AI transcripts and selected evaluation scores.
TilBridge retains evaluation facts independently of Langfuse. Checks and human effort are distinct signals—not a single translation-quality score. Semantic judging remains experimental and uncalibrated.
Reference materials
SoonGive AI the whole picture
Upload style guides, briefs, past translations, terminology tables or URLs. Documents are chunked, indexed and made available to AI roles and to chat.
Any document type
PDFs, Word files, terminology spreadsheets, URLs, past translations, annotated documents.
Automatic chunking and indexing
Documents are split into sections and indexed automatically. No manual markup needed.
Alignment of past translations
Upload a source and its translation as a pair. TilBridge aligns them — even when paragraphs do not line up one to one.
AI search by meaning
Roles and chat search reference material by meaning, not keywords. Relevant fragments surface in the CAT panel.
"All contractual obligations must use the formal register. Use Vertrag not Deal. Avoid colloquial expressions in legal contexts."
"The controller shall implement appropriate measures." → "Der Verantwortliche setzt geeignete Maßnahmen um."
EN: data controller → DE: Verantwortlicher — Legal term, GDPR Art. 4(7)
Covers formality requirements for German contract language. Specifies formal register, approved legal terminology, and tone guidelines from the client's style guide.
Editor
Built on how translators actually work
A CAT editor built from scratch — not a rich-text box with a translation panel bolted on.
Terminology control
Approved terms are underlined, forbidden terms struck through
QA on confirm
Checks run automatically — errors block confirmation until fixed or deliberately overridden
Number and tag checks
Catches mismatched numbers, missing tags and broken formatting
Split and join segments
Fix bad segmentation without breaking the document structure or the export
The maximum file size is 10050 MB.
Files cannot exceed the 50 megabyte limit.
Translation memory
Two ways to find the right match — a third on the way
Exact and context matches, plus fuzzy search with word-level diffs. Semantic matching is in development.
Save your changes
Speichern Sie Ihre Änderungen
Exact match
Finds identical source text instantly. Context matches (101%) take the surrounding segments into account.
Fuzzy match
Finds similar segments even when the wording differs. Diff highlighting shows exactly what changed.
Semantic match
SoonSearch by meaning finds translations that mean the same thing, even when the wording is completely different.
Repetition autofill
Confirm a segment once and identical ones fill in automatically. Pre-translate on import: 101% confirmed, the rest left as drafts.
Save your changes
Speichern Sie Ihre Änderungen
Retain the records for 1,000.50 days.
Bewahren Sie die Daten 1.500,50 Tage lang auf.
Quality assurance
Catch errors before delivery
QA runs when a segment is confirmed. Errors block confirmation — fix them, or override deliberately. Job-wide runs are published and stored.
On confirm
Errors block confirmation. Press Ctrl+Enter again to override deliberately.
Whole-job runs
Run QA across every segment. Results are published and attached to each segment.
Four checks today
Empty target, number consistency, tag integrity, resegmentation integrity. Terminology and spelling checks are in development.
Locale-aware numbers
"1,000.50" (EN) matches "1.000,50" (DE) correctly. No false positives.
Search and navigation
Find what you already translated
Concordance across every attached translation memory, with matches highlighted. Global search, find and replace, and segment filters are in development.
Full-text search across all attached TMs. Past translations surface with the matching part highlighted.
Production and workflow
More than an editor
Production management
Projects, clients, vendors — one place
A project holds its jobs, its client, its deadline and its resources. Vendors get their own work plane; managers see every step, who holds it, and what it cost.
247 segments, 12,450 source words, 67% leverage. Translation is submitted; Review is active with Michael R. 18 segments still carry QA errors, all number_consistency.
Segments 47, 51, 63 and 15 more — decimal separators kept from the source. All 12 approved terms are used consistently; no forbidden terms found.
Why TilBridge
What makes us different
Technology
A modern foundation
Built for speed and reliability — starts fast, stays smooth, and never gets in the way.
Rust backend
Handles large translation memories without a hint of slowdown.
Svelte 5 frontend
A responsive, fast interface — no lag, no loading spinners between screens.
Platform and data
One database, strict tenant isolation, and document conversion in an isolated service.
Desktop app
A lightweight desktop build for offline work is planned for a later stage.
Free Trial
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