No, it claims that it will do that, not that it does do that. If it was “does”, yes, the VC would be able to verify it. If it is “will”—and that's what they are seeking funding to build out—its a lot harder to verify.
You're more or less correct in your understanding, we're trying to get to 80%, and are certainly not there yet. The other thing to keep in mind is that there's a lot more than goes into developing software than just code.
We've already been able to automate problems such as selecting the optimal creators (developers, QAs, designers) for a given project from our capacity network, the ability to price out and estimate timelines for a project (something that takes our competitors 2-3 weeks), onboard and evaluate engineers on our platform, predict, arbitrage and scale cloud infrastructure for our client's projects, along with a bunch of other areas.
There's definitely a long way for us to go, however we have been able to show proven success on these problem areas already.
however i disagree with your third paragraph, you have not solved any problems in the problem area you are raising money for, which is AI created software. best i can tell, based on your commentation you are just streamlining onboarding, hiring and estimating. No offense, but none of this has anything to do with AI, IMO. Just a glorified project management and outsourcing company at this point.
They raised $29.5 million in a Series A round. That sounds like find-product-market-fit money, possibly a bit of growth money -- NOT pre-product money. You dont need to raise $30M to go from pre-product to product.
The financiers were Swiss VC firm Lakestar and Singapore’s Jungle Ventures led the financing and participation from Softbank’s DeepCore. I'm surprised this would get past them.
That is what they claim, though they claim it's 80% done, too (they seem to like “80%” a lot.)