01
Government, public-sector organisations with Tamil / Hindi / Telugu document workflows.
Fits you
Tamil + 13 Indian languages
96%
Classification accuracy
14
Indian languages
2.4M
Articles processed
Tamil & Indian NLP
Tamil is not English with different letters. Our AI knows the difference.
Tamil is agglutinative. One word can be a whole sentence. Generic multilingual models butcher it. We build models that understand morphology, sandhi, and code-mixed reality.
GovernmentMediaHealthcareBFSIEdtechLegalGovernmentMediaHealthcareBFSIEdtechLegalGovernmentMediaHealthcareBFSIEdtechLegal
Who this is for
Who needs real Indian-language NLP.
If any of these sound like you, we should talk.
02
Healthcare — patient-reported symptoms in vernacular, clinician notes, voice consultations.
Fits you
03
Media, publishing, content moderation where nuance and intent matter at scale.
Fits you
04
BFSI where Tier-2 / Tier-3 customers increasingly expect vernacular interfaces.
Fits you
The proof
Indian languages we deploy in production.
Not just parsed — understood at morphological and cultural levels.
TamilHindiTeluguKannadaMalayalamMarathiBengaliGujaratiPunjabiCode-mixed TanglishHinglishKanglishRomanised TamilRomanised Hindi
What we build
NLP capabilities we ship.
01
Intent classification
Tamil, Hindi, code-mixed — above 94%.
02
Document understanding
Extract structured data from Tamil / Hindi PDFs.
03
Named entity recognition
Indian names, places, amounts.
04
Sentiment analysis
Cultural nuance, not literal translation.
ClientA Tamil media groupMedia
Content classification across <em>2.4M articles</em> with 96% accuracy.
Built a Tamil-first content intelligence system for automatic categorisation, entity extraction, and sentiment tagging across a decades-old archive.
01
2.4M
Articles processed
02
96%
Classification accuracy
03
14
Content taxonomies
04
38%
Faster publishing
What it's like working with us
The generic models got Tamil wrong in ways that would embarrass us. Ligio's models don't.
SK
Selvam K.
CTO · A Tamil media group
Media · Chennai
Tech stack
The tools. Chosen for your reasons.
09technologies in rotation
01HuggingFace
02IndicBERT
03MuRIL
04Llama 3
05Mistral
06PyTorch
07FastAPI
08Pinecone
09Label Studio
Process
How we actually work.
06 stages
- 01
Data audit
Weeks 1-2What corpora do you have? What's missing? How's the quality?
- 02
Annotation
Weeks 2-6Gold-standard data with native speakers. 5,000-50,000 samples.
- 03
Model fine-tune
Weeks 6-10IndicBERT / MuRIL base, fine-tuned on your data.
- 04
Evaluation
Weeks 10-11Held-out set, human review, error analysis.
- 05
Deployment
Weeks 11-12API, monitoring, drift detection.
- 06
Feedback loop
Week 12+Active learning, re-training cadence.
Questions
Answers, without the fluff.
Still have questions? Talk to us — we answer within a business day.
07common questions
01Why not use Google Translate?
Translate is a translator. It doesn't understand. For intent classification, entity extraction, sentiment — you need models trained on the language, not post-translation English.
02Can you handle mixed-script text?
Yes. Tanglish ("vanga saapdalam") and Hinglish ("kal milte hain") are first-class. We train on mixed-script corpora explicitly.
03What about rare languages like Konkani or Maithili?
Possible but harder — less training data available. We'd source corpora and annotate more heavily. Timeline and cost go up accordingly.
04How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
05Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
06Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
07What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
Related
Explore more of what we do.
Indian NLP built by people who speak the language.
Share your use case. We'll tell you what's achievable with Indian-language AI today.
Feasibility call. Free.