From a LinkedIn search it seems that they are full of talent from Stanford, Berkley, CMU, MIT, etc. It seems that Google is using it for its cloud. What gives? What are they making that is special and G or other companies cannot replicate fast? Stock getting crushed week after week. #c3.ai #ai
Degrees while being a good filter, do not guarantee success when starting a company.
Sure but why all those people would go and stay there when I am sure they can get into Fang or equivalent.
A lot of my coworkers have left for faang. It’s a very smart group of people and people like working among very intelligent people, but the toxicity of the management/CEO is finally leading to people leaving (along with the stock price). They had to also give pretty big stock grants to people to get them to stay so some people have stuck around because of that.
They have a all in one platform for AI development from data integration to modeling all the way to creating usable UI’s.
Don't, the culture is toxic. They asked employees to come to office during covid too. No wfh
Wym why G can't replicate? Who ever comes with new tech or build something useful G has to replicate or counter it? No one other than G can make good products? What is even the rationale here?
The rationale is G has much more AI expertise than almost anyone. They can spun up an internal team in G Cloud and develop their own stuff. Why would they license an ML product from outside in order to run their own AI business.
Because it's cheaper. People don't develop everything internally just because they can. If some operational AI can be outsourced and plugged-in at cost, why the hell will you build it? Better put your resources into something more revenue generating or important.
Waiting to see comments from someone at C3 AI.
Essentially we make a giant infrastructure that serves massive amounts of data. We have almost no vendor lock-in, as all APIs are in normal code and all endpoints are published and all data is completely yours. As a dev at C3, using C3, I've been able to take a few large CSVs and build entire web apps routing through ML pipelines with full React UI in under 3 days. Prove that MVP for almost no time. Multiple times. Unbelievable pace of development. c3 basically abstracts the entirety of infrastructure and complexity. I go straight from data model to custom API code. I never have to write any cloud stuff, DB migrations, etc. I do not even have an AWS or Google Cloud account and I've been here many years. Most of our projects are around 2-6 engineers total, even the ones bringing in $20M+ annually because we have such a ridiculous amount of leverage across the entire stack.
Really?
Yes really. It's actually an insane productivity machine. Our lack of sales speaks volumes of our sales abilities and/or price, because the benefit of use is there for sure. For *most* things dev it's the best system I can think of by a long shot. I enjoy it and also don't feel like I have skills too niche since custom logic still has to be in Python/js/ts/java. The opposite really, since it lets you work at a system level instead of glue level. I regularly practice the transferable skills and never need to touch S3 or EC2 or Azure Functions or whatever other more-niche skill. Consequentially, interviews are often a breeze as I have used the system design skills daily with zero time wasted on specific technology configuration I would pay a few hundred a year to use C3 on my hobby projects that generate 0 value and are just for fun. But that's not even remotely possible.
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C3 == Palantir