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  • Writer's pictureArka Roychowdhury

Generative AI Trends (personal experience)

Updated: Apr 5



AI companies have been ramping up their AI offerings, and the ecosystem of AI models and associated tools are getting released at a breath-taking pace. This surge is a testament to the market's recognition of AI's potential and its commitment to investing in its future.

Perplexity AI, a challenger in AI based search, has raised substantial funding to develop its conversational answer engine, aiming to serve the planet's unbounded curiosity with accurate and transparent AI-powered search. Rabbit Inc. has introduced its Large Action Model (LAM), which goes beyond traditional generative AI chatbots by accomplishing real-world tasks without the need for custom programming, marking a significant leap in human-machine interfaces. Microsoft, already a pioneer in providing AI based productivity tools- think of copilot that has already become ubiquitous, has recently launched an AI powered laptop (surely the first of many to come). Sam Altman’s OpenAI startled the world with chatGPT and continues to make relentless stride with a recent demo of a humanoid robot powered by its technologies.

Apple, Google, Meta and the list goes on… (not to mention the chip maker NVIDIA behind a lot of this development)

This ecosystem is fostering a fertile ground for both established corporations and startups to leverage AI services, creating value-added applications. Established businesses and startups are clearly lapping up the services available through simple API integrations without the hassle of model training.  

My ex-colleague and friend integrated the power of AI into his recently launched service that seeks to assists parents and educators’ access and comprehend information related to Autism.

If I can boast, I too have been seeing some action in this space, with my clients slowly but steadily making forays into leveraging AI services provided by their cloud providers- focusing on architecture that makes effective use of enterprise data and integrates with internal systems. (Will elaborate on that on a dedicated post later)


As generative AI continues to evolve, it will play a crucial role in our daily lives, with the potential to add trillions to the global economy and transform the way we work, learn, and create.


Funding Stats

The top 5 generative AI companies in terms of funding status are:

1. OpenAI

- Funding: Received a $10B corporate minority investment[2]

2. Inflection AI

- Funding: Secured a $1.3B Series B funding[2]

3. Anthropic

- Funding: Received $1.8B across 2 corporate minorities[2]

4. Databricks

- Funding: Raised $504M in a Series I funding round[2]

5. Aleph Alpha

- Funding: Secured $500M in a Series B funding[2]

These companies have attracted significant investments, reflecting the growing interest and support for generative AI technologies.

[2]: https://www.cbinsights.com/research/generative-ai-funding-top-startups-investors-2023/

Citations:

[1] https://www.eweek.com/artificial-intelligence/generative-ai-companies/

[2] https://www.cbinsights.com/research/generative-ai-funding-top-startups-investors-2023/

[3] https://www.ycombinator.com/companies/industry/generative-ai

[4] https://www.f6s.com/companies/generative-ai/india/co

[5] https://explodingtopics.com/blog/generative-ai-startups

Funding Stats by Country


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