Indus : GenAI powered LLM
Tech Mahindra · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Tech Mahindra’s Indus GenAI solution empowers all Indic languages that have originated out of the great Indus Civilization. Tech Mahindra, with use of AWS powerful platform and services, have sought to build an Open-Source Large Language AI model to serve the needs of 25% of the world's population.
The Indus Project uses AWS S3 and EC2 instances and intends to make India based Foundational Model in Indic languages. In the current version Indus LLM supports Hindi and its 37 dialects.
Show the rest of the publisher’s description (20 more lines)
**AWS-Powered LLM model**
The solution's robust architecture is deployed on AWS cloud platform and uses S3 and EC2 services for allowing full flexibility to run the solution.
- High performance GPU based instance: The model uses AWS EC2 G5 instances for graphic intensive application and ML inference.
- User Management and Content Delivery: Utilizes Amazon Cognito for secure authentication
- Storage Powerhouse: Application also uses Amazon S3 for scalable content storage
- Database Services: Solution uses RDS which makes it easier to setup, operate and scale relational database.
**Key Features:**
- Built Indus LLM from scratch which is 1.2 Bn parameter model in Hindi and its 37 dialects
- Built from 22 Bn tokens using cleaned Hindi and Dialects data.
- Most economical, sustainable and ethical model
- No spurious token has only Hindi and its dialects.
- Features above Llama 2.0 model on Indic LLM Leaderboard for abstract reasoning.
- Indus was deployed on AWS Sagemaker and tested for Inference to a decent performance.
- NLP Toolkit- This toolkit is used for cleaning of any data other than Hindi and also transliterates dates and English text. This also removes bad words
- Bias Removal Toolkit- We have annotated data created for bias and non bias. A cosine difference mechanism is applied as a classifier to find and remove biased sentences
- Bias Removal Dashboard- Dashboard to represent biases removed
**Benefits:**
- Helps to bridge digital gap for Hindi speaking masses of rural India Enables Indic Digital Transformation
- Can be finetuned for specific use cases to cater to the needs of native Hindi users
- Enables Digital transformation in Indic languages
Highlights
Highlighted by the publisher on AWS Marketplace.
India’s first grounds up LLM focused on Hindi and its 37 Dialects
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.