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We have our own point of view on the people, technologies, and conversations that will shape the future.
Numeric is the first company succeeding in building the financial graph that unifies disparate data silos, workflows, and subledgers.
Since announcing the Anthology Fund, we’ve received thousands of applications from pioneering founders. Here’s what we discovered about the next wave of AI-powered companies.
Predictive and generative AI are entering many new applications. At Menlo Ventures, we are especially excited about applications for AI in drug discovery and development, specifically when new technology can directly address a major unmet need.
Arch Labs is building the digital backbone to aggregate and connect upstream GP portals and fund admins so investors can automate manual processes like document collection and capital calls, and make better, data-driven investment decisions.
With Cleanlab, AI teams automate weeks of manual data labeling and bypass dozens of engineering hours for model training and deployment.
The single greatest health concern facing American kids and teens today is a crisis in mental health.
Nailing your monetization strategy has become more important than ever in today’s weakened macroeconomic climate, and it’s no longer as simple as charging per seat.
Since the advent of the internet, few technological advances have garnered as much attention and enthusiasm as quickly as generative AI.
Cancer remains one of the leading causes of death in the U.S. and worldwide.
Experimentation is a key lever for growth, yet 90% of experimentation workflows today are manual.
The fintech industry has grown exponentially in recent years with a next-gen cohort of outstanding entrepreneurs deconstructing monolithic legacy solutions.
RAI has created perhaps one of the most unique and powerful databases in the world.
As repeat investors in the construction technology space, we have been vocal about the opportunities to build valuable companies in the category.
Below the surface of the freight industry lies a fragmented relationship between shippers, brokers, and carriers that makes the very movement of goods throughout the United States incredibly complex.
Julia, the “Ju” in Jupyter, is a programming language that will soon be the standard in scientific computing, replacing MatLab and R, but is also popular on the server due to speed, multiple dispatch/type system, as well as a vast set of libraries that aid rapid application development.
We’ve always been drawn to the world of possibility unlocked by automation—improving clunky and time-consuming workflows, enhancing productivity, freeing time to focus on higher-order problems. One area long plagued by...
