01
Tamil Nadu government, public services, utilities.
Fits you
Tamil AI feasibility · free
96%
Classification accuracy
2.4M
Articles processed
14
Taxonomies
Tamil Software
Software that speaks Tamil. Not just displays it.
Unicode rendering is the easy part. Tamil NLP, voice, search, document processing — that’s where the work is. We do that work.
GovernmentMediaHealthcareBFSIEdtechLegalGovernmentMediaHealthcareBFSIEdtechLegalGovernmentMediaHealthcareBFSIEdtechLegal
Who this is for
Who needs real Tamil software.
If any of these sound like you, we should talk.
02
Healthcare in Tier-2 TN where patient English literacy is mixed.
Fits you
03
BFSI serving Tamil-speaking MSMEs and individuals.
Fits you
04
Media, publishing, content platforms where Tamil audience is the majority.
Fits you
The proof
Tamil capabilities in production.
Tamil NLP (intent + entity)Tamil voice ASRTamil TTSMixed-script TanglishUnicode rendering + Inscript keyboardsTamil OCR (handwritten + printed)Searchable Tamil PDFsTamil content classification
What we build
Tamil-native capabilities.
01
Tamil NLP
Intent, entity, sentiment.
02
Tamil voice
ASR + TTS for IVR / chatbots.
03
Tamil search
Morphology-aware search.
04
Tamil OCR
Printed + handwritten extraction.
ClientA Tamil-language news groupMedia
<em>96% content classification accuracy</em> across 2.4M Tamil articles.
Built Tamil NLP for auto-classification, entity recognition, sentiment. Decades-old archive made searchable and recommendable.
01
2.4M
Articles processed
02
96%
Classification accuracy
03
14
Taxonomies
04
38%
Faster publishing
What it's like working with us
Google’s models butcher Tamil. Ligio’s models don’t. That’s the whole reason we moved.
SK
Selvam K.
CTO · A Tamil-language news group
Media · Chennai
Tech stack
The tools. Chosen for your reasons.
06technologies in rotation
01IndicBERT
02MuRIL
03AI4Bharat models
04HuggingFace
05Whisper (Tamil fine-tuned)
06Tamil-specific Unicode tools
Process
How we actually work.
06 stages
- 01
Linguistic scoping
Week 1What Tamil problem are we solving?
- 02
Data collection
Weeks 2-5Corpus + gold-standard annotation.
- 03
Model fine-tune
Weeks 5-10IndicBERT / Whisper base, your data.
- 04
Evaluation
Weeks 10-11Native-speaker review + held-out benchmark.
- 05
Deploy
Weeks 11-12API, monitoring, drift detection.
- 06
Continuous improvement
Week 12+Active learning, quarterly retrain.
Questions
Answers, without the fluff.
Still have questions? Talk to us — we answer within a business day.
07common questions
01Why not Google Cloud Tamil?
Fine for translation and basic TTS. Not fine for domain-specific Tamil — medical, legal, financial. We fine-tune on your domain.
02Tanglish / mixed-script?
Yes. Explicitly trained on mixed-script corpora. "vanga saapdalam" is parsed correctly.
03Can you do Tamil OCR?
Yes. Printed (95%+ accuracy) and handwritten (70-85% depending on quality).
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.
Tamil software built by Tamil-speaking engineers.
Share your use case. We'll tell you what's achievable with Tamil AI today.
Free Tamil-AI feasibility call.