2 hrs ago
Chennai Company Builds Venutian, a Self-Compiling Programming Language
A company in Chennai is creating a new programming language called Venutian.
A programming language is a way for people to tell computers what to do.
The company is building Venutian and its compiler from the beginning.
It wants Venutian to eventually help compile its own compiler.
The language is intended to be easy to use while also working quickly.
The company says some internal tests made it much faster than Python.
Those results still need to be checked by independent testers.
The project is also meant to help India build more of its own basic technology tools.
Chennai-based AICONSORTIUM PRIVATE LIMITED is developing Venutian as a general-purpose programming language from the ground up.
Venutian is designed to compile itself, with the company also aiming to build related tooling, libraries and an ecosystem.
AICONSORTIUM says internal tests showed Venutian running up to 732 times faster than Python on particular workloads.
The reported performance results have not been independently verified and require reproducible benchmarking.
The project is presented as part of the company’s broader goal of technological sovereignty and building foundational technology in India.
- Who
- Chennai-based deep-tech company AICONSORTIUM PRIVATE LIMITED is developing Venutian.
- What
- The company is building Venutian, a self-compiling, general-purpose programming language and its supporting foundations.
- Where
- The project is being developed in Chennai, Tamil Nadu, India.
- When
- The announcement is dated September 14; the articles do not specify the year.
- Why
- AICONSORTIUM says it aims to create approachable, high-performance software tools and advance technological sovereignty by building foundational technology in India.
Key facts
- Project
- Venutian programming language
- Developer
- AICONSORTIUM PRIVATE LIMITED
- Location
- Chennai, Tamil Nadu, India
- Language type
- Self-compiling, general-purpose language
- Reported performance
- Up to 732 times faster than Python on particular internal workloads
- Verification status
- The performance figures have not been independently verified
- Broader goal
- Building an ecosystem of tools, libraries and foundations around the language
Sources
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