How Much Did Applied Compute Raise?
Funding & Key Investors

Applied Compute has secured $80M in total funding, with its most recent financing round bringing in $80M. This major enterprise-level funding, characterized as a major strategic investment, underscores the company's significant traction in the AI sector. The recent capital infusion occurred on April 14, 2026, signaling a new phase of growth and development for the enterprise AI solutions provider.

What is Applied Compute?

Applied Compute
SoftwareEngineering SoftwareBusiness Intelligence (BI) Software

Applied Compute is an enterprise AI company that develops highly specialized, company-specific intelligence systems by transforming an organization's internal data into proprietary models and deploying them as dedicated AI agents that operate alongside human teams. Rather than relying on general-purpose AI, the platform focuses on building tailored specific intelligence designed for a company's unique workflows, enabling businesses to create in-house agent workforces that continuously learn, improve, and deliver measurable operational impact. By combining custom model training, embedded engineering collaboration, and full-stack AI infrastructure, the company aims to help organizations unlock their internal knowledge and turn it into a sustainable competitive advantage through deeply integrated, purpose-built AI solutions.

How much funding has Applied Compute raised?

Applied Compute has raised a total of $100M across 1 funding round:

2026

Other Financing Round

$80M

Other Financing Round (2026): $80M with participation from Kleiner Perkins, Neo, Lux Capital, and Greenoaks

Key Investors in Applied Compute

Kleiner Perkins

Kleiner Perkins is a Menlo Park-based venture capital firm that invests in early and growth-stage technology and life science companies, backing founders across consumer, enterprise, healthcare, and climate/hard tech.

Neo

Neo is dedicated to empowering the next generation of tech leaders through its premier startup accelerator, innovative recruiting platform, and a vibrant mentorship community, supporting budding entrepreneurs and tech professionals.

Lux Capital

Lux Capital is a New York-based venture capital firm investing in early-stage and growth-stage companies at the intersection of science and technology, including AI, robotics, and biotechnology.

What's next for Applied Compute?

The substantial enterprise-level funding positions Applied Compute for significant scaling and market expansion. This strategic investment will likely fuel further research and development into its proprietary AI agent technology, enhancing its capabilities in transforming internal data into competitive advantages. The company is poised to deepen its market penetration by offering more tailored, in-house AI solutions to businesses seeking to optimize workflows and operational impact. Future developments may include expanding its agent deployment infrastructure and forging new strategic partnerships to accelerate adoption across diverse enterprise sectors.

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Frequently Asked Questions Regarding Applied Compute Financial Insights

What are the most recent funding rounds that Applied Compute has completed, and what were the funding rounds?
Applied Compute has recently completed 1 funding rounds: Other Financing Round on Apr 14, 2026.
What is the total amount of funding Applied Compute has raised to date?
Applied Compute has raised a total of $100M in funding to date.
How many funding rounds has Applied Compute completed?
Applied Compute has completed 1 funding rounds.
How much funding did Applied Compute raise in its most recent funding round?
Applied Compute raised $80M in its most recent funding round.
Who are the lead investors in Applied Compute's latest funding round?
The lead investor in Applied Compute's latest funding round was Kleiner Perkins. To access investor data and explore similar companies, sign up for ZoomInfo.
Which was the largest funding round in Applied Compute's history?
The largest funding round in Applied Compute's history was $80M.
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