funding

Eppo lands new cash to grow its app, website and AI experimentation business

The AI industry continues to release tons of new models, and companies looking to stay competitive are racing to adopt them for their purposes. In fact, nearly 10% of businesses plan to spend a whopping $25 million this year on AI initiatives, according to tech consulting firm Searce. But while lots of money is being […]

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EliseAI lands $75M for chatbots that help property managers deal with renters

EliseAI, a company developing a suite of AI-powered property management tools for landlords, has raised $75 million in a Series D round that values the startup at $1 billion. EliseAI is the brainchild of co-founder and CEO Minna Song, who met the company’s second co-founder, Tony Stoyanov, while the two were undergraduate students at Cambridge.

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Encord lands new cash to grow its data labeling tools for AI

Labeling and annotation platforms might not get the attention flashy new generative AI models do. But they’re essential. The data on which many models train must be labeled, or the models wouldn’t be able to interpret that data during the training process. Annotation is a vast undertaking, requiring thousands to millions of annotations for the

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CloudPay, a payroll services provider, lands $120M in new funding

In 1996, two companies, Patersons HR and Payroll Solutions, formed a venture called CloudPay to provide payroll and payments services to enterprise clients. CloudPay grew quietly over the next several decades, adding workflow automation features to maintain pace with upstart rivals. It’s still growing, CFO Andy Thomson assures TechCrunch. Thomson claims that CloudPay is handling

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Mechanical Orchard, led by ex-Pivotal CEO, scores $50 million round led by Alphabet’s GV

Digital transformation — the process of transforming outdated apps and processes with cloud technologies and digital workflows — can be a risky undertaking. In 2023, Harvard Business Review reported that while 89% of large companies have a digital and AI transformation underway, they’ve only captured 31% of the expected revenue uplift and 25% of anticipated

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Hyperspace is building custom instances to accelerate database searches

The growth in the demand for generative AI apps has led to a need for larger and larger databases to store the associated data (e.g. model training data). These databases tend to be resource-intensive from a hardware perspective and depending on the algorithms used to orchestrate them, they can be high-latency. Often, companies are forced

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German computer scientists raise $30 million to help companies make sense of their data

It’s not easy for organizations to become data-driven, despite the aspirations many have to get there. Even orgs with data analytics teams often struggle to make effective use of their data. According to a recent Gartner survey, fewer than half of data and analytics leaders say their teams are effective in providing value to their

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