Domain-aware results
Terms can be filtered by professional field, jurisdiction, source, and usage style.
From Sozleralemi to domain intelligence
A multilingual domain intelligence platform for teams that need terminology, sources, translation memory, and expert review to work together across languages and specialties.
Platform
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.
Terms can be filtered by professional field, jurisdiction, source, and usage style.
Workflows surface repeated phrasing, accepted translations, reviewer notes, and team preferences.
Examples, notes, and source trails help users choose the right term for the right audience.
Designed for translators, reviewers, researchers, and domain experts working together.
Language expansion
The roadmap expands beyond Turkish, German, and English into a connected language layer for international teams and institutions.
Domain coverage
Idanium is built for terminology-heavy fields where precision, provenance, and nuance matter.
Contracts, court language, compliance, immigration, legislation, and public administration.
Periods, titles, institutions, archives, contested names, and culture-specific references.
Clinical terminology, patient-facing language, reports, and health documentation.
Theology, ritual terms, sacred texts, denominations, and sensitive cultural usage.
Style, idiom, metaphor, genre conventions, and historically layered meanings.
Research terms, standards, software, engineering, data, and fast-changing concepts.
Banking, accounting, tax, insurance, audit, and investor communications.
Academic titles, school systems, credentials, research administration, and policy terms.
Headlines, political framing, quotes, idioms, tone, and public-interest terminology.
Feature system
The feature set connects the practical pieces that specialist translation teams need: concepts, glossaries, translation memory, guardrails, workflow, messaging, notifications, and change monitoring.
Use cases
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 casesAdapt expert content into plain-language versions for residents, patients, learners, and service users.
Keep legal, medical, religious, historical, and academic terminology tied to sources and review decisions.
Create graded readers, glossaries, exercises, and multilingual variants from trusted source material.
Standardize terminology across departments, documents, projects, and language pairs.
Technology
The technology roadmap combines ontology, customer-specific embeddings, reviewed examples, and model adaptation where the data quality is strong enough.
Read the technology approachConcepts, relationships, constraints, examples, and source evidence.
Private retrieval across terms, memories, documents, and review decisions.
Approvals and corrections improve ranking, guardrails, and workflow routing.
Fine-tuning only when reviewed customer data can support it responsibly.
How it works
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.
Import documents, glossaries, public sources, terminology lists, memories, and reviewed examples from existing language work.
Turn raw terms into concepts with definitions, equivalents, source notes, audience levels, and domain labels.
Route sensitive terms and uncertain translations to translators, reviewers, and domain experts with the right context.
Bring approved terms, memory segments, examples, and rules back into new translation, simplification, and publishing work.
Watch source updates, terminology drift, and rule changes so existing translations can be maintained over time.
Use review signals and customer-specific retrieval to rank better suggestions and avoid repeated mistakes.
Knowledge model
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.
Definitions, relationships, variants, historical meanings, jurisdictional limits, and audience constraints.
Preferred, allowed, forbidden, deprecated, literal, explanatory, and register-specific equivalents per language.
Source documents, examples, citations, dates, reviewer notes, and confidence levels behind each decision.
Assignments, approvals, notifications, change tasks, publication state, and audit trails for language governance.
Contact
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.