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AI · NLP · Multilingual · Voice

Transforming Occupational Classification with Artificial Intelligence

Find the correct National Classification of Occupations code in seconds. Our semantic search understands meaning — across languages, synonyms and voice — so classification is faster, smarter and more accurate.

Search: "software engineer building AI tools"
NCO 2512.0198%
Software Developer
NCO 2519.9094%
AI/ML Engineer
NCO 2511.0288%
Systems Analyst
IndicBERT LaBSE FAISS Multilingual Voice-enabled
About

Why classification needs a new brain

Legacy NCO tools rely on exact strings. We use meaning.

Exact keyword matching fails

Traditional lookup misses synonyms and paraphrased job titles.

Manual NCO lookup is slow

Enumerators spend minutes per record scrolling long code lists.

Regional languages are hard

Hindi, Tamil, Bengali & code-mixed inputs break rigid systems.

Our approach

Semantic search that thinks like a human classifier

Free-text or spoken descriptions become dense vectors, matched against embedded NCO codes with confidence scoring and cross-lingual understanding.

Meaning-first
Neural embeddings
Multilingual
22+ Indian languages
Voice-ready
ASR + NLU pipeline
Confidence
Top-k with scores
Features

Everything you need to classify at scale

A production-ready toolkit for statistical agencies, HR platforms and enterprise integrators.

Semantic Search

Neural embeddings match meaning, not keywords.

Multilingual Support

Query in English, Hindi, Tamil, Bengali and more.

Voice Search

Speak an occupation — we transcribe and understand.

AI Confidence Scores

Top-k matches with calibrated probabilities.

Fast Search

FAISS-backed vector index returns results in ms.

API Integration

Drop-in REST endpoint for existing survey tools.

Secure Architecture

Encrypted transport, audited access, PII-safe.

Smart Recommendations

Suggests likely codes as you type or speak.

Live Demo

Search any occupation — like a human

Try a sample or type your own description. This is a UI demo with representative data.

Try:

Try a sample or describe an occupation in your own words.

AI confidence

0%
Top match

Search history

Recent searches will appear here.

How it works

From a spoken sentence to an NCO code

A modern pipeline that stays fast, explainable and language-aware end-to-end.

    Step 1

    User Input

    Text or voice — any language.

    Step 2

    AI Language Processing

    Normalize, translate, disambiguate.

    Step 3

    Text Embedding

    IndicBERT / LaBSE dense vectors.

    Step 4

    FAISS Semantic Search

    Millisecond nearest-neighbor lookup.

    Step 5

    Ranking Algorithm

    Re-rank with metadata & context.

    Step 6

    Best Matching NCO Codes

    Top-k with confidence scores.

Benefits

Real numbers, real impact

0%
Faster occupation lookup
0%
Reduced manual work
0%
Classification accuracy
0×
Employment stats improved
0%
Digital governance ready
FAQ

Common questions

English plus major Indian languages via IndicBERT/LaBSE embeddings, including Hindi, Tamil, Bengali, Marathi, Telugu and Gujarati.

Contact

Talk to the team

Pilot programs, partnerships, or a question — we'd love to hear from you.

Reach us

We respond within one business day.