Human Native AI is a London-based startup building a marketplace to broker such deals between the many companies building LLM projects and those willing to license data to them.
Human Native AI also helps rights holders prepare and price their content and monitors for any copyright infringements.
Human Native AI takes a cut of each deal and charges AI companies for its transaction and monitoring services.
Human Native AI announced a £2.8 million seed round led by LocalGlobe and Mercuri, two British micro VCs, this week.
It is also a smart time for Human Native AI to launch.
But as the data analytics and AI boom drives organizations to expect more of data models, many of the old paradigms are proving difficult to manage — and exceptionally brittle.
Now, five years later, Keydunov and Tiunov have a veritable business on their hands, having launched a subscription-based service built on Cube — Cube Cloud — that adds automated workflows and enterprise-focused governance and deployment tooling.
An illustration of Cube’s semantic data layer.
Image Credits: Cube“Cube Cloud is a universal semantic layer that is an independent, yet interoperable, part of the modern data stack that sits between your data sources and data consumers,” Keydunov said.
Keydunov says that the open source Cube project has surpassed 10 million downloads, while Cube Cloud is now installed on around 90,000 servers.
Greptile, an early stage startup from a group of recent Georgia Tech grads, decided to take a different approach: using AI to help developers understand the code base.
Greptile CEO and co-founder Daksh Gupta says the Greptile bot is like having a highly experienced coworker who has a deep understanding of your code.
“So we’re building AI tools that understand large code bases at companies because as time goes on, and multiple programmers work on the codebase, it tends to get very difficult to understand,” Gupta told TechCrunch.
Once the repositories have been indexed by the system, you add a natural language query such as, how does the authentication work in this code base,” he said.
The startup launched last July after the founders came up with the idea for the company at a hackathon.
Allison Cohen is the senior applied AI projects manager at Mila, a Quebec-based community of more than 1,200 researchers specializing in AI and machine learning.
One of the projects I managed involved building a dataset containing instances of subtle and overt expressions of bias against women.
I learned firsthand why this process is fundamental to building responsible applications, and also why it’s not done enough — it’s hard work!
What advice would you give to women seeking to enter the AI field?
How can investors better push for responsible AI?
Building owners are often in the dark about their carbon pollution.
A new algorithm could shed light on itStarting this year, thousands of buildings in New York City will have to start reducing their carbon emissions.
There are plenty of tools out there that can convert an electric bill into estimated carbon emissions, but many are based on rough estimates.
It’s why Nzero, a carbon-tracking startup, developed a new algorithm, giving building owners reports that estimate carbon pollution down to the hour.
From there, the company’s software helps building owners identify upgrades and retrofits that will reduce emissions while also being the most cost effective.
Paris-based Dark Space is taking on the dual problems of debris and conflict in orbit with their mobile platform designed to launch, attach to, and ultimately deorbit uncooperative objects in space.
team of space.”The three-year-old startup is developing Interceptor, a spacecraft that is essentially a rocket-powered boxing glove that can be launched on short order to gently punch a wayward object out of its orbit.
“All the space sector is organized to do planned, long missions … but orbital defense is more about unplanned, short missions,” Laheyne said.
In that sense, Interceptor “is more like an air defense missile,” he explained.
Dark Space was founded by Laheyne and CTO Guillaume Orvain, engineers who cut their teeth at multi-national missile developer MBDA.
NeuBird founders Goutham Rao and Vinod Jayaraman came from PortWorx, a cloud native storage solution they eventually sold to PureStorage in 2019 for $370 million.
When they went looking for their next startup challenge last year, they saw an opportunity to combine their cloud native knowledge, especially around IT operations, with the burgeoning area of generative AI.
Rao, the CEO, says that while the cloud native community has done a good job at solving a lot of difficult problems, it has created increasing levels of complexity along the way.
“We’ve done an incredible job as a community over the past 10 plus years building cloud native architectures with service oriented designs.
At the same time, large language models were beginning to mature, so the founders decided to put them to work on the problem.
The Linux Foundation today announced the launch of the Open Platform for Enterprise AI (OPEA), a project to foster the development of open, multi-provider and composable (i.e.
modular) generative AI systems.
Now, OPEA’s members are very clearly invested (and self-interested, for that matter) in building tooling for enterprise generative AI.
Domino offers a suite of apps for building and auditing business-forward generative AI.
And VMWare — oriented toward the infrastructure side of enterprise AI — last August rolled out new “private AI” compute products.
Like many immigrants, the New York City skyline was one of the first sights young brothers Edi and Etrit Demaj took in when they arrived in the U.S. over 20 years ago.
“The first building that we saw was the Empire State Building,” Etrit recalls.
The Demaj family soon settled in Detroit, where the brothers completed their education and started various companies, including their latest, Kode Labs, which integrates and automates various systems in commercial buildings — including the Empire State Building.
When the Demaj brothers founded Kode in 2017, they sought to bring building management into the cloud era.
The brothers liken it to an OS that integrates building systems like a computer OS integrates various circuit boards.
For decades, building material companies have shredded old newspapers to create cellulose insulation.
But as newspapers have declined, the cellulose insulation industry has found itself in a bind, chasing after dwindling supplies of raw material.
People have increasingly turned to e-commerce, and the amount of cardboard boxes has crept steadily upward.
To date, CleanFiber has been able to produce enough insulation for about 20,000 single-family homes.
Plus, Strimling points out that more stringent building codes mean that new homes require more insulation than ever before.
