Funding · AI & Deep Tech

Turiyam.ai raises $4 Mn pre-seed for AI compute

By Startup Enthusiast · 2 March 2026

What they do

Turiyam.ai builds full-stack AI compute infrastructure with custom hardware and integrated software

The Bengaluru deeptech startup raised $4 Mn (about ₹36 Cr) in a pre-seed round led by Ankur Capital and Micelio Fund

The funding will speed up product development and support early deployments with enterprises and data centres in India and overseas

Turiyam.ai raised $4 Mn (about ₹36 Cr) in a pre-seed funding round, announced on 2 March 2026.
The round was led by Ankur Capital and Micelio Fund, an early-stage investment fund from Axilor.
The startup is building AI compute infrastructure focused on AI inference (the process of running trained AI models to make predictions).
Its product is a full-stack platform that combines custom hardware with integrated software.
The company uses a hardware-software co-design approach, meaning hardware and software are developed together for better performance.
The architecture includes a hybrid memory design and a compiler-led optimisation layer for inference-heavy workloads.
The funds will be used to speed up product development, expand the team, and support early deployments with enterprises and data centres in India and overseas.
Part of the capital is earmarked for R&D expansion and commercial deployments in the coming months.

Investor interest in AI infrastructure and semiconductor startups is rising in India.
At the India AI Impact Summit 2026, IT minister Ashwini Vaishnaw said India is set to attract over $200 Bn in AI investments in the next two years.
Large conglomerates like Adani Group and Reliance have announced billions of dollars in AI investments.
India has over 150 native AI startups with more than $1.5 Bn in funding since 2020.
India's AI market is projected to cross $17 Bn by 2030.

Turiyam.ai is a Bengaluru-based deeptech startup building AI compute infrastructure.
The company focuses on AI inference, which is the process of running trained AI models to make predictions or decisions.
Its product is a full-stack platform that combines custom hardware with integrated software.
The platform uses a hardware-software co-design approach, meaning hardware and software are developed together for better performance.
The architecture includes a hybrid memory design and a compiler-led optimisation layer for inference-heavy workloads.
The startup targets enterprises and data centres in India and overseas for early deployments.
The company currently has 18 employees.

Speed up product development.
Expand the team.
Support early deployments with enterprises and data centres in India and overseas.
Expand R&D and commercial deployments in the coming months.

Product: AI inference infrastructure platform with optimized compute capabilities
Customers: Enterprises and data centres deploying AI models
How it makes money: B2B SaaS infrastructure model serving enterprises and data centre operators
What sets it apart: Focused solely on AI inference optimization rather than large model training