This is a SaaS product for videographers and video editors.
Video analytics is a two decade old business need. While the earlier solutions focussed on analyzing the metadata of video files, with the advent of cheaper GPUs, analyzing the content of videos has become possible. Editing and composing videos is time consuming work, with an output to effort ratio of 1:10. Meaning, for editing 1 hour of video we need to spend at least 10 hours of effort. This effort can be reduced with the help of AI and GenAI. vMinr (pronounced "v Minor"; short for video miner), makes it 10x faster to review 3+ hour long form videos of marriages and conferences. This enables videographers and video editors to 3x to 5x their productivity, and scale their cutomer volume by 3x or more.
We see a lot of code generation capabilities with generative AI models. Most of these solve specific pieces of code genration needs. However building a software system involves genearting code for multiple components and connecting them together. Can a GenAI model take an architecture specification as input and generate working solutions ? There are tools like AutoGen and GPT Engineer that are working towards this goal. Creating domain specific LLMs for needs like this is another area of interest for us.
LLMs can perform amazingly well with text that they have learned. But they cannot access or use Enterprise data. There is a huge untapped potential in integrating Enterprise Relational Data with the power of LLMs. This is one of our areas of work
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