Inventh is a custom software and AI development company. Since 2017, we have helped growing businesses design, build and scale the applications they depend on, from offices in the USA, the UK and India.
Web, mobile and enterprise applications built around how your business actually runs. We create new platforms, integrate the systems you already rely on and modernize legacy software without disrupting operations.
Practical AI that earns its place in your operations. We build machine learning models, AI agents and generative AI features, then connect them to your data and workflows so they deliver measurable results in production.
Engineers who work as an extension of your team, inside your tools and delivery process. Scale capacity up or down as priorities change, without the cost and delay of hiring.
Founded in 2017, Inventh designs, builds and supports AI systems and custom software for businesses in the United States, the United Kingdom and India.
Inventh builds AI and machine learning solutions, custom web and mobile applications and cloud systems, and provides dedicated development teams for companies that need more engineering capacity.
Inventh works with businesses in ecommerce, retail, wholesale and distribution, manufacturing, healthcare and medical supply, and accounting.
Inventh has offices in Farmers Branch, Texas, in the Dallas area; Northampton, United Kingdom; and Kochi, Kerala, India. Inventh is a trademark of Great Inventh Private Limited.
Every engagement starts with a measurable business outcome. Clients choose fixed scope projects, dedicated teams or fully managed delivery, and own the code and intellectual property created for them.
We understand your individual challenges and can craft solutions to meet your specific needs.
We’ve helped organizations around the world transform their business and create lasting value.
Before AI can drive change, leaders must have a clear vision of what success looks like. They should identify business objectives that will be most impacted by gen AI and choose tools and vendors with proven experience in solving those problems. They should also create a data strategy, assessing whether or not new or existing data and datasets are required to effectively fuel AI systems.
The relentless pace of technological advancement is reshaping our world, propelling us toward a future defined by innovation and efficiency. As we peer into the horizon of the next few years, several transformative technologies stand out, promising to redefine industries, enhance user experiences, and push the boundaries of what’s possible.
