Ethos, a London-based artificial intelligence platform that matches skilled professionals with work opportunities, has raised US$22.75 million in Series A funding as investors back new ways to identify human expertise in an AI-driven labor market.

The round was led by Andreessen Horowitz, with participation from General Catalyst, which led Ethos’ 2024 seed round. XTX and Evantic also participated in the financing.

Ethos was founded by James Lo and Daniel Mankowitz in 2024. It uses AI to evaluate expertise through voice conversations and existing portfolios of work, including academic papers, code repositories and professional content. The company said AI has made it easier to generate CVs and job applications, but harder for organizations to identify genuine expertise.

“A CV is a poor proxy for what someone is truly capable of,” said James Lo, co-founder and chief executive of Ethos. “Ethos helps people to see the full shape of their expertise and where it fits in an AI-transformed economy - acting as their agent, opening doors they didn’t know existed, and giving companies a far more precise way to find the people they actually need.”

The platform matches users with opportunities across consulting, expert calls, market research, AI data projects and full-time roles. Ethos said more than 35,000 experts are joining the platform each week across accounting, banking, consulting, law, technology and healthcare, as well as skilled trades including electricians and plumbers.

The company said the average expert on Ethos earns £4,500 in additional income each month, while the top 10% of earners make more than £7,000 a month. Since January, the number of experts earning income through the platform has increased sixfold.

“AI is reshaping the labor market faster than our tools for valuing human expertise can keep up. Ethos is built to change that,” Lo said.

“Knowledge is our most precious resource, yet for too long the expertise inside people’s heads has been invisible to the economy,” said Jeannette zu Fürstenberg, president and managing director of General Catalyst.

“Ethos changes the game by capturing the true value of what people know and connecting it to the opportunities that need it most,” she said.

“Our Seed philosophy is simple: back exceptional leaders early,” zu Fürstenberg said. “From our first conversations with James and Daniel, it was clear they were visionaries who understood exactly where the future of work was heading and had the conviction to build for it.”

Ethos was founded by a team from Google DeepMind, McKinsey and SoftBank. Its clients include AI labs, investment funds and corporates seeking access to human expertise on demand.

monday.com has repositioned itself as an “AI Work Platform” in what the company described as the biggest change in its history, as software vendors race to embed artificial intelligence more deeply into workplace tools.

The work management software company said on May 6 that it had rebuilt its platform around collaboration between employees and AI agents, moving beyond task management into systems that can help execute work across departments.

The company said its new AI agents are built directly into monday.com and can be configured by users without technical expertise. The agents are designed to work across live business data, workflows and permissions, while remaining under human supervision.

monday.com said the agents can support tasks such as drafting marketing campaigns, qualifying sales leads, closing support tickets, onboarding new employees and processing purchase requests. The company is positioning the move as a response to a common corporate challenge: large AI investment has not always translated into production use or measurable business impact.

“Our customers are running real businesses in a world that’s changing fast, and they need a platform built for that reality,” said Roy Mann, co-founder and co-chief executive of monday.com. “monday.com is now a place where people and agents work side by side.”

The launch comes as software-as-a-service companies face pressure to prove that AI can deliver practical productivity gains rather than remain an add-on feature. The company said enterprises have widened access to AI, but many organizations still struggle to move experiments into production or use AI to transform operations.

Eran Zinman, co-founder and co-chief executive of monday.com, said the company was “going all-in” on the new strategy.

“We have 250,000 customers running their business on monday.com, and we owe them more than another AI feature,” Zinman said. “We owe them a platform built for what comes next.”

As part of the launch, monday.com is adding one-click connectors to AI platforms including Anthropic’s Claude, Microsoft 365 Copilot and OpenAI’s ChatGPT. The company said this would allow customers to bring their preferred AI systems into existing workflows.

Other updates include access to multiple large language models through monday’s AI Platform Gateway, new AI-powered development tools in monday vibe and a redesigned mobile app combining Sidekick and AI agents.

monday.com said the next phase of software-as-a-service will be shaped by companies that can turn AI into reliable business outcomes at scale.

The full announcement is available here.

Schneider Electric, an energy technology company, has signed a partnership with GreenScale to help design AI-ready data centers across the latter’s planned European campuses, as rising computing demand forces operators to rethink how facilities are built and maintained.

The companies said the collaboration will focus on reference architectures for data centers serving artificial intelligence, cloud and high-performance computing workloads. These designs will include automation, predictive analytics, condition-based maintenance and remote monitoring from the start, rather than adding them after construction.

The deal comes as AI workloads are increasing pressure on data-center operators to deliver higher power density, more reliable cooling and tighter operational control. Facilities built for conventional cloud demand are now being adapted or replaced to handle more intensive computing clusters.

“As demand for AI, Cloud and HPC accelerates in Europe, data center operators must rethink how facilities are designed and managed,” said Dan Thomas, chief executive of GreenScale.

Thomas said the partnership showed how “advanced data center architectures and digital innovation can unlock new levels of automation, efficiency and resilience.” He added that the work would help set “a new standard for intelligent design” for GreenScale’s customers.

Schneider Electric and GreenScale said the approach should reduce unnecessary maintenance, improve asset performance and lower lifecycle costs. It is also intended to give operators better visibility into equipment, allowing maintenance teams to focus on targeted interventions rather than fixed service schedules.

The companies said such systems could be particularly useful in remote or emerging regions, where fewer on-site staff, longer supply chains and higher service risks can make traditional maintenance models more difficult.

“GreenScale’s vision for its European data centers represents a new era in advanced design, where automation, efficiency, and real-time visibility are embedded from day one,” said Thierry Chamayou, vice president for cloud and service providers in Europe at Schneider Electric.

Chamayou said Schneider Electric’s role was to help create “a resilient, AI-ready infrastructure platform” that could operate efficiently in demanding environments.

The partnership will also support a unified instrumentation, monitoring and control system linking physical infrastructure with digital systems through sensors and remote tracking. GreenScale said this would help its campuses manage high-density AI clusters and cloud computing workloads across multiple locations.

The full announcement is available here.