Tachyon is an AI-powered rapid application development platform that enables IT professionals to design, develop, and deploy enterprise-grade software applications with minimal effort. It leverages natural language processing, computer vision, deep learning, and machine learning to create scalable, reliable, and secure applications that are agnostic to programming language, runtime, and deployment platforms.
Funding
Funding not disclosed
Founders
Product
Problem
Software development projects often face challenges related to long development cycles, scarcity of expert developers, increasing software complexity, and rising cybersecurity threats. A significant amount of time is spent building basic frameworks, best practices are sometimes disregarded for quick results, and security measures are often reactive rather than proactive.
Solution
Tachyon is an AI-powered rapid application development platform designed to expedite the software development lifecycle and reduce development effort. The platform leverages natural language processing, computer vision, deep learning, and machine learning to enable IT professionals to design, develop, and deploy enterprise-grade software applications more efficiently. Tachyon understands human native languages and converts software diagrams into relevant programs, while also providing context-specific suggestions, recommendations, and intelligent automation. The platform aims to augment human capabilities, enabling the development of high-quality, scalable, reliable, and secure applications that are agnostic to programming language, runtime platform, and deployment environment.
Target Audience
The primary users of Tachyon are IT professionals, including software engineers, software architects, security architects, DevOps engineers, business analysts, and project managers.
Features
- Voice-driven development using human native languages
- Image support for processing UML and hand-drawn diagrams into programs
- Code generation in multiple programming languages
- Multi-cloud deployment support (AWS, Azure, Google, IBM)
- Proactive application of security measures, coding standards, and design patterns
- Plugin and play architecture for agile feature addition and removal
- End-to-end intelligent automation across the entire SDLC
- Integration with Amazon Alexa, Google Assistant, and other AI-enabled speaking devices