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Registered on Startup India District

Tinillm Labs Private Limited

Rcc Building, Veerakaputra Village, Tekal, Kolar, Malur, Bengaluru, Karnataka

Registered office as filed with the MCA.

Sectors as filed: Machine Learning, Semiconductor

The website is as filed on the register. We have not checked that it resolves. Something wrong with this startup?

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Six things we look for on every startup: DPIIT recognition, a CIN, a website, a description, a logo and a funding signal. Not held here: DPIIT recognised and Funding signal.

Location

Where this is

District

Bengaluru

Karnataka

Startup India records the district. We do not have a street address for this company, and we will not invent one.

No point is drawn, because we do not have one.

Somewhere in this district

The register records this company's district and nothing finer, so the district is what is drawn. No point is shown, because we do not have one.

Map data © OpenStreetMap contributors · © Protomaps

Geocode confidence: low

See all Bengaluru startups on the map How we placed this startup

In context

What this startup amounts to

TINILLM LABS PRIVATE LIMITED is a Startup India startup we can place no finer than Bengaluru district, which holds 33,982 startups in this snapshot. 1,859 of those startups are filed under AI, 5% of the district. It carries no funding signal of any class, which is true of 30,350 of the 33,982 startups in Bengaluru.

Every figure above is counted from the 2026-08 snapshot and is the same number the page it links to prints.

In their own words

TiniLLM Labs is building a full-stack local AI inference platform that enables developers and enterprises to run frontier-scale AI models entirely on-premise without relying on cloud infrastructure. The company is developing TiniGPU, a high-performance local inference accelerator capable of running models up to 500B parameters with optimized power efficiency, privacy, and cost. Alongside the hardware stack, TiniLLM is building its own runtime, compiler, and quantization infrastructure to optimize large language model inference for local deployment. Our mission is to make frontier AI accessible, private, and affordable by eliminating cloud dependency and enabling sovereign AI infrastructure for developers, enterprises, research labs, and edge deployments. The platform focuses on: • Local AI inference for large language models • Privacy-first and offline AI deployment • High-performance low-cost AI compute • Vertically integrated hardware and software optimization TiniLLM Labs operates in the deep-tech and AI infrastructure space with a long-term roadmap toward custom AI silicon and next-generation local AI compute systems.

Written by the company on its public Startup India profile. Not verified by us.

The listing

What the startup says

CIN
U62011KA2026PTC220263
Incorporated (MCA)
2026
Registered on Startup India
2026
Self-declared stage
Validation
Industry
AI
AI in Bengaluru
1,859 startups
District
Bengaluru
State
Karnataka
MCA status
Active
Company class
Private
Registrar
RoC-Bangalore
Authorised capital
₹5,00,000
Paid-up capital
₹20,000

Building a list? 33,982 Bengaluru startups are in Explore, with website and CIN columns, the first 25 free.

Nearby

More startups near here

Other startups the register places in Bengaluru, ranked by the evidence held on each, the same six things the dots near the top count.

Around it

The neighbourhood

This startup carries no locality line, so the district is the finest ring we can place it in.

All 33,982 registered startups in Bengaluru are analysed in a 52-page report. About the report

Limits

What we do not know

We have no liveness signal for any company on this site: no filings feed, no revenue, no check that the website still resolves. A startup existing here means a startup exists, not that a business is trading.

Is this your company?

Everything here comes from public government records. If something is wrong, the authoritative place to correct it is the Startup India portal itself, and we will pick the correction up on the next monthly snapshot. To flag an error on our side, use the report link or write to trust@indianstartupmap.com.

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