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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.
With new building blocks like multi-step logic, external memory, and access to third-party tools and APIs, the next wave of agents is expanding the frontier of AI capabilities to enable end-to-end process automation.
Unlike previous generations of software that primarily addressed low-level, sequential tasks that could be robotically executed, new cognitive architectures enable AI agents to dynamically automate end-to-end processes.
Raph Parker is an advisor to companies on their $0 to $10 million ARR journey. Here are four of his most valuable GTM tips for navigating early-stage sales.
With supply chain companies increasingly recognizing the advantages of shared data and optimized workflows, a new era of collaboration is on the horizon.
Observe’s success in moving to the enterprise provides a playbook for both startups and enterprises on how to leverage GenAI to win together.
The first AI-native enterprise apps broke from the pack, distinguishing themselves from the wave of AI apps that emerged last year following the rise of OpenAI and Anthropic.
In the last 40 years, tech has evolved tremendously, driving innovations on nearly every front. And yet, the software stack for hardware engineering has remained surprisingly static.
We recently asked sales veteran Carlos Delatorre, Chief Revenue Officer of Harness, to share his best practices for leading a sales org with 25 sales leaders from across the Menlo Portfolio as a part of an event series we call “GTM Titans.”
For those in healthcare, JPM provides the unofficial kickoff to every new year with a chance to recap the year before and inform our view on the year ahead.
Generative AI is a powerful technology in the hands of both good and bad actors. While cybercriminals can use GenAI to complicate and expand existing threats, it’s also an incredible defensive technology.
In the race to adopt generative AI, every enterprise grapples with a common concern: security.
The future of the modern AI stack is being decided now. More than ever, machines are capable of reasoning, creation, and creativity, and these new capabilities are driving enterprises to reconstruct their tech stacks.
Menlo Ventures surveyed more than 450 enterprise executives to provide a view into generative AI adoption in the enterprise today.
Drug design is both a natural fit and a unique challenge for generative AI, given large but messy datasets, time and cost of real-world testing, and the complexity of human trials.
While navigating this exciting yet complex landscape may seem daunting for startups, lessons from past tech waves, along with a thoughtful, strategic approach, can help illuminate the path forward.