Sin·dhainounthought; mind
சிந்தை+ AI

சிந்தை

The Tamil language layer for world-class AI.

Frontier models are the best general reasoners in the world. They are not Tamil-native. SindhAI is the layer in between: morphology, honorifics, register, retrieval and evaluation, so the most capable models can understand, write and act in Tamil with linguistic and cultural fidelity.

Attaches to
  • Claude
  • GPT
  • Gemini
  • Llama
  • Open models

Fig. 01 · Where the layer sits

your app → SindhAI layer → frontier model → verified Tamil

01 · YOUR APP

Your app, your users

  • Tamil · Tanglish · English
  • chat · documents · forms
  • any client, any stack

INPUTANY REGISTER

02 · SINDHAI LAYER

SindhAI Layer

MIDDLE LAYER

சிந்தை · தமிழுக்கு ஒரு அடுக்கு

  1. 01Morphology & honorificscase · gender · tense
  2. 02Register controlspoken · literary · official
  3. 03Tanglish & script normalisation→ Tamil script
  4. 04Tamil retrievaltrusted corpora · RAG
  5. 05Translation & paraphraseEN ↔ TA ↔ others
  6. 06Evaluation & safety filterseval suite · filters
  7. 07Speech ASR / TTSCOMING

ADAPT, DON'T REPLACETOOL SCHEMAS · ADAPTERS · EVALS

GROUNDED PROMPT→ MODEL

03 · FRONTIER MODELS

Any serious model

  • Claude
  • GPT
  • Gemini
  • Llama
  • open modelsadapters
04 · VERIFY

VERIFIED TAMIL, BACK TO YOUR APPCHECKED AGAINST TAMIL GRAMMAR AND DOMAIN TOOLS

How it works

Four jobs a raw model cannot do.

The frontier model stays the reasoner. The layer takes over the parts of Tamil it cannot be trusted with, before the prompt goes in and before the answer comes out.

  1. Understand

    Tamil the way Tamils actually write and speak: agglutination, case, gender, tense, diglossia, code-mix.

  2. Retrieve

    The right Tamil knowledge: laws, textbooks, literature, government forms. Not hallucination in elegant Tamil.

  3. Generate

    With controllable register: a grandmother, a collector's office, a Class 10 science teacher, a court.

  4. Verify

    Output checked against Tamil grammar and domain tools before it leaves the system.

Tools / SDK

The same layer, as an API.

Analyse morphology, correct case and agreement, set the honorific level, normalise Tanglish to Tamil script, retrieve from a Tamil knowledge base, and score output on the SindhAI eval suite. Attaches to Claude or any open model.

Read the docs
rewrite.tsexample · api not final
// Spoken Tamil, Tanglish or English in.
// Official Class 10 Tamil out.
import { SindhAI } from "@sindhai/sdk";

const sindhai = new SindhAI({
  model: "claude",
});

const out = await sindhai.rewrite({
  text:      source,
  // spoken | literary | official
  register:  "official",
  // class5 | class10 | official
  level:     "class10",
  honorific: "respectful",
  // Tanglish → Tamil script
  script:    "tamil",
});

const report = await sindhai.evaluate(
  out, { suite: "grammar+register" }
);

Products

One layer. A family of tools.

Every product below runs on the same layer, so a fix to honorifics or register lands everywhere at once.

  • First product

    SindhAI Studio

    Tamil-first workbench: chat, translate, rewrite and document tools, powered by frontier models through the layer.

  • 02

    SindhAI Chat

    Tamil-first assistant. Talk in Tamil, Tanglish or English; answers stay in Tamil.

  • 03

    SindhAI Translate

    English ↔ Tamil and Tamil ↔ other Indian languages, with control over spoken vs literary, honorifics and kinship terms, official tone, names and untranslatable cultural terms.

  • 04

    SindhAI Rewrite

    Paraphrase at a chosen reading level: Class 5, Class 10 or official. Summarise long Tamil PDFs, extract entities, dates and clauses, convert spoken ↔ formal Tamil.

  • 05

    SindhAI Tools / SDK

    The API. Morphology, case and agreement, honorific level, Tanglish normalisation, Tamil retrieval and the eval suite. Attaches to Claude or any open model.

  • Coming

    SindhAI Voice

    Speech recognition and synthesis on the same layer. Next on the roadmap, not ready yet.

The problem

Tamil is still treated as an add-on.

Tamil has more than 80 million speakers and classical-language status, yet production AI still treats it as an add-on. Frontier models fragment Tamil tokens, miss case and agreement, drop honorifics, ignore spoken Tamil and Tanglish, and slide back into English mid-answer.

  • fragmented tokens
  • missed case + agreement
  • dropped honorifics
  • no spoken Tamil, no Tanglish
  • drifts to English
  1. Principle 01

    Adapt, don't replace.

    The best reasoners already exist. The work is making them Tamil-native, not building a smaller one.

  2. Principle 02

    Tamil-native tools.

    Not English products with a Tamil toggle. Register, honorifics and script are first-class parameters.

  3. Principle 03

    Open to developers and institutions.

    Government, education, media and enterprise plug Tamil competence into their own systems.

  4. Principle 04

    Durable public goods.

    Evaluation benchmarks, curated corpora, tool schemas and adapters that outlive any one chatbot.

உலகத் தரம் வாய்ந்த AI-க்கான தமிழ் அடுக்கு

Make Tamil a first-class language of AI.

So the most capable models in the world can think, speak, write and work in Tamil with linguistic and cultural fidelity.

Audience
developers · institutions
Attaches to
Claude · GPT · Gemini · Llama
Speakers
80 million+
Status
early access