Coverdash team, business insurance

Coverdash gathers insurance’s biggest carriers so SMBs can get coverage in minutes

Coverdash team, business insurance

Image Credits: Coverdash

When Coverdash, which offers commercial insurance products for startups, tripled the number of embedded distribution partners to over 100 in the past year, CEO Ralph Betesh had a decision to make.

He could either keep rolling toward profitability, or raise a venture capital round — which the commercial insurance provider didn’t really need — so that it could onboard bigger partners faster.

“More big partners kept coming and closing with us, pushing to get on our roadmap,” Betesh told TechCrunch. “We discussed slowly adding these partners, but thought we might lose them. On the other hand, everyone told us this might be the most challenging environment for a Series A in the last four years.”

Plus, it wasn’t really that long ago that Coverdash had raised capital. TechCrunch last profiled the company in early 2023 when it raised $2.5 million in seed funding. At that time, the company had recently launched with 35 distribution partners.

Betesh founded the company with David Vainer and Avery Rubin in 2022. Coverdash offers small businesses, e-commerce merchants and freelancers the ability to buy business insurance in areas like business owner’s policies, cyber and worker’s compensation.

Distribution partners, like payroll providers, banks and vertical SaaS platforms, embed Coverdash’s insurance tool into their platforms. Businesses then answer a few questions, select a policy and get coverage in minutes.

Bling Capital-backed Coverdash unveils its embedded, digital insurance for small businesses

“Our focus was bringing the embedded customer, or direct consumer customer, options from the biggest names in insurance and allowing you to choose what’s best for you,” Betesh said. “That approach also insulates us from some of the carrier-specific nuances. For example, if one carrier won’t take on the risk, we have a bunch of other options for you, which enables us to get you better pricing and better coverage for that price. That’s really powerful to the end customer that we focus on.”

In the past year, Coverdash added a management liability product specifically geared toward startups that either have a board or are raising capital. That comes with some requirements, like having liability insurance for board directors and company officers and other management, Betesh explained.

That new product resulted in some big business coming Coverdash’s way, including new partners and growth across the board. From increasing its employee workforce five-fold to that tripling of its embedded distribution partnerships to 30% month over month growth in customers. Betesh did not get specific about revenue other than to say it grew “exponentially” over the past year as a result of the partnership and customer growth.

Ultimately, Betesh and his co-founders opted to go the venture capital route, raising $13.5 million of Series A funding. New investor Nyca Partners led the round and joined existing investors, including Bling Capital, AXIS Digital Ventures, Tokio Marine Future Fund, Expansion VC and Cameron Ventures.

“We were ready for it,” Betesh said. “It all kind of fell into place really quickly, and in over two weeks, we had offers from multiple firms. We were really fortunate. What helped us was the partnerships and what we’ve been able to put forth in such a short amount of time, as well as our focus on profitability as soon as we can.”

In insurtech, too, business models aren’t one-size-fits-all

Project GR00T Humanoid Image

Nvidia enlists humanoid robotics’ biggest names for new AI platform, GR00T

Project GR00T Humanoid Image

Image Credits: Nvidia

It’s tough to argue with Nvidia CEO Jensen Huang when he notes, “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today.” The humanoid form factor is one of the most hotly contested topics in the world of robotics at the moment, raising venture capital by the boatload, while generating massive skepticism along the way.

Naturally, Nvidia wants a piece. The chip giant has become arguably the most important hardware company in AI and has more recently been making a compelling case for itself as a driver for robotic innovation through initiatives like Isaac and Jetson. This week at its annual GTC developer conference, the company is planting its flag in the humanoid race with Project GR00T, which may or may not be a nod to Marvel’s illeist talking space tree.

The chipmaker refers to the new platform as “a general-purpose foundation model for humanoid robots.” In essence, the company is building an AI platform for the recent spate of entries into the category, including companies like 1X Technologies, Agility Robotics, Apptronik, Boston Dynamics, Figure AI, Fourier Intelligence, Sanctuary AI, Unitree Robotics and XPENG Robotics. That covers nearly every prominent humanoid robot maker at the moment, with a few notable exceptions like Tesla.

Agility gets additional facetime in the announcement, courtesy of a quote from co-founder and Chief Robotics Officer Jonathan Hurst: “We are at an inflection point in history, with human-centric robots like Digit poised to change labor forever. Modern AI will accelerate development, paving the way for robots like Digit to help people in all aspects of daily life. We’re excited to partner with NVIDIA to invest in the computing, simulation tools, machine learning environments and other necessary infrastructure to enable the dream of robots being a part of daily life.”

Sanctuary AI co-founder and CEO Geordie Rose also weighs in: “Embodied AI will not only help address some of humanity’s biggest challenges, but also create innovations which are currently beyond our reach or imagination. Technology this important shouldn’t be built in silos, which is why we prioritize long-term partners like NVIDIA.”

GR00T will support new hardware from Nvidia, as well. Keeping things in the Marvel Cinematic Universe is Jetson Thor, a new computer designed specifically for running simulation workflows, generative AI models and more for the humanoid form factor. I continue to caution people away from casually tossing out terms like “general purpose” when describing these machines, but Nvidia’s keen interest is a validation for the category that will almost certainly accelerate development.

Nvidia notes of the new silicon:

The SoC includes a next-generation GPU based on NVIDIA Blackwell architecture with a transformer engine delivering 800 teraflops of 8-bit floating point AI performance to run multimodal generative AI models like GR00T. With an integrated functional safety processor, a high-performance CPU cluster and 100GB of ethernet bandwidth, it significantly simplifies design and integration efforts.

While general purpose is still years off, democratizing access for third-party developers will go a long ways toward bridging that gap.

This week’s GTC robotics announcements included two more key programs: Isaac Manipulator and Isaac Perceptor. Manipulation has been a foundation aspect of robotics for decades now. Leading the way were the massive industrial robotic arms that have become a fixture of automotive manufacturing. The next generation will be even more dexterous and far more mobile. Naturally, Nvidia wants a piece of the action.

“Isaac Manipulator offers state-of-the-art dexterity and modular AI capabilities for robotic arms, with a robust collection of foundation models and GPU accelerated libraries,” the company writes. “It provides up to an 80x speedup in path planning and zero shot perception increases efficiency and throughput, enabling developers to automate a greater number of new robotic tasks.”

Nvidia already has some big names on board, including, Franka Robotics, PickNik Robotics, READY Robotics, Solomon, Universal Robots and Yaskawa.

AMRs (autonomous mobile robotics are also getting some love, in the form of Perceptor. The program maintains Nvidia’s longstanding focus on vision processing for robotics. This is specifically targeted at “multi-camera, 3D surround-vision capabilities.” ArcBest, BYD and KION Group have already signed up.

The next several years will present a fascinating race for market share between humanoids and mobile manipulators, and Nvidia wants a piece of all of that action.