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On Tue, 1 Oct, 4:05 PM UTC
3 Sources
[1]
Greylock-backed Resolve AI raises $35 million in seed funding to help engineers
(Reuters) - Resolve AI, a startup aiming to automate software operations, has raised $35 million in seed funding from investors led by Greylock, as the latest entrants to the space of developing AI-powered tools for software engineers. It is the largest check written so far this year by the Silicon Valley venture capital firm that has backed companies such as Airbnb and Meta. Stanford Professor Fei-Fei Li and Google DeepMind's Chief Scientist Jeff Dean also joined the round. Founded earlier this year by Spiros Xanthos, a former Splunk executive, Resolve makes AI tools that can autonomously troubleshoot and fix production issues, reducing "Mean Time to Resolve" and allowing engineers to focus on development tasks. While most AI engineer tools focus on code generation, Xanthos argues engineers spend much time on operational tasks like on-call duties, troubleshooting, and infrastructure management. These tasks require an understanding of code and specific production environments. He said by building proprietary agentic systems, Resolve can autonomously handle alerts and incidents using tools such as AWS and GitHub, without human intervention in most cases. "Our goal is to take over stressful and time consuming tasks, and offer the tool that could be much more intelligent and effective," said Xanthos. The startup, self funded in the beginning, has already courted startup clients such as DataStax. Xanthos said he plans to use the capital for hiring, aiming to double the current team of 16 people by year end. The company is also looking to expand its AI tools to perform more tasks, such as incident prevention and cloud cost optimization. "Reimagining software engineering with AI might be the biggest opportunity in generative AI," said Greylock partner Saam Motamedi, who led the investment. "We look for companies where there's a very clear tie in to hard (return on investment). What Resolve is building is a very quantifiable space, and that's why they've been very quickly able to go out of this (proof of concept) stage into production relationships with customers." (Reporting by Krystal Hu in New York; Editing by Kirsten Donovan)
[2]
Greylock-Backed Resolve AI Raises $35 Million in Seed Funding to Help Engineers
(Reuters) - Resolve AI, a startup aiming to automate software operations, has raised $35 million in seed funding from investors led by Greylock, as the latest entrants to the space of developing AI-powered tools for software engineers. It is the largest check written so far this year by the Silicon Valley venture capital firm that has backed companies such as Airbnb and Meta. Stanford Professor Fei-Fei Li and Google DeepMind's Chief Scientist Jeff Dean also joined the round. Founded earlier this year by Spiros Xanthos, a former Splunk executive, Resolve makes AI tools that can autonomously troubleshoot and fix production issues, reducing "Mean Time to Resolve" and allowing engineers to focus on development tasks. While most AI engineer tools focus on code generation, Xanthos argues engineers spend much time on operational tasks like on-call duties, troubleshooting, and infrastructure management. These tasks require an understanding of code and specific production environments. He said by building proprietary agentic systems, Resolve can autonomously handle alerts and incidents using tools such as AWS and GitHub, without human intervention in most cases. "Our goal is to take over stressful and time consuming tasks, and offer the tool that could be much more intelligent and effective," said Xanthos. The startup, self funded in the beginning, has already courted startup clients such as DataStax. Xanthos said he plans to use the capital for hiring, aiming to double the current team of 16 people by year end. The company is also looking to expand its AI tools to perform more tasks, such as incident prevention and cloud cost optimization. "Reimagining software engineering with AI might be the biggest opportunity in generative AI," said Greylock partner Saam Motamedi, who led the investment. "We look for companies where there's a very clear tie in to hard (return on investment). What Resolve is building is a very quantifiable space, and that's why they've been very quickly able to go out of this (proof of concept) stage into production relationships with customers." (Reporting by Krystal Hu in New York; Editing by Kirsten Donovan)
[3]
Greylock-backed Resolve AI raises $35 million in seed funding to help engineers
Oct 1 (Reuters) - Resolve AI, a startup aiming to automate software operations, has raised $35 million in seed funding from investors led by Greylock, as the latest entrants to the space of developing AI-powered tools for software engineers. It is the largest check written so far this year by the Silicon Valley venture capital firm that has backed companies such as Airbnb and Meta. Stanford Professor Fei-Fei Li and Google DeepMind's Chief Scientist Jeff Dean also joined the round. Advertisement · Scroll to continue Founded earlier this year by Spiros Xanthos, a former Splunk executive, Resolve makes AI tools that can autonomously troubleshoot and fix production issues, reducing "Mean Time to Resolve" and allowing engineers to focus on development tasks. While most AI engineer tools focus on code generation, Xanthos argues engineers spend much time on operational tasks like on-call duties, troubleshooting, and infrastructure management. These tasks require an understanding of code and specific production environments. Advertisement · Scroll to continue He said by building proprietary agentic systems, Resolve can autonomously handle alerts and incidents using tools such as AWS and GitHub, without human intervention in most cases. "Our goal is to take over stressful and time consuming tasks, and offer the tool that could be much more intelligent and effective," said Xanthos. The startup, self funded in the beginning, has already courted startup clients such as DataStax. Xanthos said he plans to use the capital for hiring, aiming to double the current team of 16 people by year end. The company is also looking to expand its AI tools to perform more tasks, such as incident prevention and cloud cost optimization. "Reimagining software engineering with AI might be the biggest opportunity in generative AI," said Greylock partner Saam Motamedi, who led the investment. "We look for companies where there's a very clear tie in to hard (return on investment). What Resolve is building is a very quantifiable space, and that's why they've been very quickly able to go out of this (proof of concept) stage into production relationships with customers." Reporting by Krystal Hu in New York; Editing by Kirsten Donovan Our Standards: The Thomson Reuters Trust Principles., opens new tab Krystal Hu Thomson Reuters Krystal reports on venture capital and startups for Reuters. She covers Silicon Valley and beyond through the lens of money and characters, with a focus on growth-stage startups, tech investments and AI. She has previously covered M&A for Reuters, breaking stories on Trump's SPAC and Elon Musk's Twitter financing. Previously, she reported on Amazon for Yahoo Finance, and her investigation of the company's retail practice was cited by lawmakers in Congress. Krystal started a career in journalism by writing about tech and politics in China. She has a master's degree from New York University, and enjoys a scoop of Matcha ice cream as much as getting a scoop at work.
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Resolve AI, a startup focused on automating software operations, has raised $35 million in seed funding led by Greylock. The company aims to develop AI-powered tools that can autonomously troubleshoot and fix production issues for software engineers.
Resolve AI, a startup focused on automating software operations, has successfully raised $35 million in seed funding. The investment round was led by Greylock, a prominent Silicon Valley venture capital firm known for backing industry giants like Airbnb and Meta [1][2][3]. This funding marks Greylock's largest investment of the year, underscoring the potential they see in Resolve AI's innovative approach to software engineering.
The funding round attracted high-profile investors, including Stanford Professor Fei-Fei Li and Google DeepMind's Chief Scientist Jeff Dean [1][2][3]. Founded earlier this year by Spiros Xanthos, a former Splunk executive, Resolve AI aims to revolutionize the way software engineers handle operational tasks.
While many AI tools for engineers focus on code generation, Resolve AI targets a different aspect of software development. The company's AI tools are designed to autonomously troubleshoot and fix production issues, significantly reducing the "Mean Time to Resolve" [1][2][3]. This approach allows engineers to focus more on development tasks rather than operational duties.
Resolve AI has developed proprietary agentic systems that can handle alerts and incidents autonomously, utilizing tools such as AWS and GitHub without human intervention in most cases [1][2][3]. This capability addresses the time-consuming operational tasks that engineers often face, including on-call duties, troubleshooting, and infrastructure management.
Despite being in its early stages, Resolve AI has already attracted clients such as DataStax [1][2][3]. The company plans to use the new capital for aggressive hiring, aiming to double its current team of 16 people by the end of the year. Additionally, Resolve AI is looking to expand its AI tools to perform more tasks, including incident prevention and cloud cost optimization [1][2][3].
Greylock partner Saam Motamedi, who led the investment, believes that "reimagining software engineering with AI might be the biggest opportunity in generative AI" [1][2][3]. He emphasized the clear return on investment potential of Resolve AI's technology, noting that the company has quickly moved from the proof of concept stage to establishing production relationships with customers.
Resolve AI's approach could potentially transform the software engineering landscape by automating many of the stressful and time-consuming tasks that currently occupy engineers' time. By offering more intelligent and effective tools, the company aims to improve efficiency and allow engineers to focus on more creative and strategic aspects of software development [1][2][3].
Reference
[2]
U.S. News & World Report
|Greylock-Backed Resolve AI Raises $35 Million in Seed Funding to Help Engineers
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