From Sozleralemi to domain intelligence

Idanium

A multilingual domain intelligence platform for teams that need terminology, sources, translation memory, and expert review to work together across languages and specialties.

More languages Built for expansion beyond the first language pairs.
More domains From law and medicine to history, religion, literature, and public life.
More context Definitions, usage, sources, examples, and domain-aware alternatives.

Platform

Terminology that understands where it is used.

Idanium evolves the Sozleralemi idea into a broader workspace: a place to search, compare, govern, and reuse specialized language with enough context to make confident decisions.

01

Domain-aware results

Terms can be filtered by professional field, jurisdiction, source, and usage style.

02

Translation memory signals

Workflows surface repeated phrasing, accepted translations, reviewer notes, and team preferences.

03

Editorial confidence

Examples, notes, and source trails help users choose the right term for the right audience.

04

Collaboration-ready

Designed for translators, reviewers, researchers, and domain experts working together.

Language expansion

From focused dictionary to multilingual network.

The roadmap expands beyond Turkish, German, and English into a connected language layer for international teams and institutions.

Turkish German English French Spanish Arabic Italian Dutch Polish Portuguese Ukrainian Chinese

Domain coverage

Specialized language for serious work.

Idanium is built for terminology-heavy fields where precision, provenance, and nuance matter.

Law

Contracts, court language, compliance, immigration, legislation, and public administration.

History

Periods, titles, institutions, archives, contested names, and culture-specific references.

Medical

Clinical terminology, patient-facing language, reports, and health documentation.

Religion

Theology, ritual terms, sacred texts, denominations, and sensitive cultural usage.

Literature

Style, idiom, metaphor, genre conventions, and historically layered meanings.

Science & Technology

Research terms, standards, software, engineering, data, and fast-changing concepts.

Finance

Banking, accounting, tax, insurance, audit, and investor communications.

Education

Academic titles, school systems, credentials, research administration, and policy terms.

Media & Journalism

Headlines, political framing, quotes, idioms, tone, and public-interest terminology.

View all difficult translation domains

Feature system

One workspace for terminology, review, and reuse.

The feature set connects the practical pieces that specialist translation teams need: concepts, glossaries, translation memory, guardrails, workflow, messaging, notifications, and change monitoring.

Explore all features

Use cases

Built for language work where mistakes have context.

Idanium is strongest where a literal equivalent is not enough: public notices, patient explanations, legal guidance, archives, academic administration, religious texts, and learning material.

View use cases

Accessible communication

Adapt expert content into plain-language versions for residents, patients, learners, and service users.

Specialist translation

Keep legal, medical, religious, historical, and academic terminology tied to sources and review decisions.

Language learning

Create graded readers, glossaries, exercises, and multilingual variants from trusted source material.

Institutional governance

Standardize terminology across departments, documents, projects, and language pairs.

Technology

Explicit knowledge, retrieval, and reviewed AI support.

The technology roadmap combines ontology, customer-specific embeddings, reviewed examples, and model adaptation where the data quality is strong enough.

Read the technology approach
01

Ontology

Concepts, relationships, constraints, examples, and source evidence.

02

Embeddings

Private retrieval across terms, memories, documents, and review decisions.

03

Review signals

Approvals and corrections improve ranking, guardrails, and workflow routing.

04

Model adaptation

Fine-tuning only when reviewed customer data can support it responsibly.

How it works

From source material to governed multilingual knowledge.

Idanium is designed around a repeatable knowledge workflow. Teams bring source material, extract terminology and concepts, review the difficult decisions, and reuse approved language with context.

01

Ingest

Import documents, glossaries, public sources, terminology lists, memories, and reviewed examples from existing language work.

02

Structure

Turn raw terms into concepts with definitions, equivalents, source notes, audience levels, and domain labels.

03

Review

Route sensitive terms and uncertain translations to translators, reviewers, and domain experts with the right context.

04

Reuse

Bring approved terms, memory segments, examples, and rules back into new translation, simplification, and publishing work.

05

Monitor

Watch source updates, terminology drift, and rule changes so existing translations can be maintained over time.

06

Improve

Use review signals and customer-specific retrieval to rank better suggestions and avoid repeated mistakes.

Knowledge model

What Idanium keeps connected.

The platform becomes valuable when language decisions do not live in separate files. Terms, examples, sources, memory, ontology, guardrails, review notes, and workflow state all reinforce each other.

Concepts

Definitions, relationships, variants, historical meanings, jurisdictional limits, and audience constraints.

Terms

Preferred, allowed, forbidden, deprecated, literal, explanatory, and register-specific equivalents per language.

Evidence

Source documents, examples, citations, dates, reviewer notes, and confidence levels behind each decision.

Operations

Assignments, approvals, notifications, change tasks, publication state, and audit trails for language governance.

Contact

Talk to us about language, domains, and partnerships.

Tell us which language, domain, dataset, or workflow you want to bring into Idanium. The current form prepares an email so the conversation can start without a backend.

The form prepares an email so we can start the conversation.