Applied Compute

Applied Compute
Builds custom AI models and 'Specific Intelligence' agent workforces for enterprises using proprietary data.
About
What does Applied Compute do?
Applied Compute provides continual learning infrastructure for enterprises, transforming institutional knowledge into a proprietary agent workforce that improves with every interaction. Their platform enables companies to deploy in-house agents that learn from their own data and expertise, closing the gap between raw data and actionable intelligence.
What is Applied Compute's revenue?
StartupHub estimates Applied Compute's annual revenue at $5.3M (range $2.8M to $14.1M, 65% confidence), based on comparable companies in the sector.
What is Applied Compute's valuation?
StartupHub estimates Applied Compute's effective valuation at $86.6M (range $60.6M to $112.5M, 37% confidence), based on comparable companies in the sector.
How much funding has Applied Compute raised?
Applied Compute has raised a total of $102M in funding. The most recent round on record is Series A.
Where is Applied Compute headquartered?
Applied Compute is headquartered in San Francisco, United States.
When was Applied Compute founded?
Applied Compute was founded in 2022.
What industry does Applied Compute operate in?
Applied Compute operates in Agentic AI, AI Agent, Foundation Model, Enterprise Software, Custom AI Models, Specific Intelligence.
How many employees does Applied Compute have?
Applied Compute has approximately 28 people on record.
Microsoft Copilot Studio offers an enterprise-grade platform for building and deploying AI agents within the Microsoft 365 environment, competing with Applied Compute's focus on enterprise AI agent workforces. [22, 31]
Salesforce Agentforce provides CRM-native AI agents for customer data and workflows, directly competing with Applied Compute's offering of custom AI agents for specialized business intelligence applications. [7, 15, 22]
UiPath AI Agents combine robotic process automation (RPA) with large language models to automate complex workflows, which overlaps with Applied Compute's goal of creating agent workforces for enterprise automation. [2, 22]
IBM watsonx Orchestrate offers governed AI for regulated workflows and enterprise AI agent capabilities, presenting a competitive solution to Applied Compute's custom AI models and agent workforces for enterprises. [22, 35]
Google Vertex AI Agent Builder enables organizations to design and deploy AI agents on Google Cloud infrastructure, providing a platform for custom AI agent development that competes with Applied Compute's services. [22, 35]
DoorDash has utilized Applied Compute to train a state-of-the-art model for merchant onboarding, specifically for ingesting photographed restaurant menus and producing structured storefront representations. [11, 13, 21, 25, 36, 40]
Cognition AI Inc. has partnered with Applied Compute to create specialized bug-catching agents designed to surface issues within seconds of a developer saving a commit. [11, 13, 21, 25, 40]
Mercor Inc. is an early adopter of Applied Compute's systems, using them to train and deploy new models and agents. [11, 13, 21, 25, 40]
Shopify has built a continual learning loop for its GraphQL agent to address scaling challenges and improve quality while reducing costs, aligning with Applied Compute's expertise in continual learning infrastructure for AI agents. [12]
Snapsheet is building continual learning infrastructure to tie together predictions, outcomes, and expert feedback to produce models that keep getting better, which directly matches Applied Compute's core offering. [16]
Atos is partnering with Kore.ai to deliver sovereign agentic AI for UK enterprises, indicating a need for advanced AI agent platforms and services that Applied Compute could provide. [28]
Buyer fit inferred by StartupHub from what Applied Compute sells and public signals about each company. Only rows badged "already a customer" are confirmed relationships.
Microsoft would gain Applied Compute's specialized expertise in continual learning infrastructure and custom AI agent workforces, strengthening its Copilot Studio and enterprise AI offerings. [22, 31]
Precedent: Acquired Nuance Communications, 2022
Salesforce could fold Applied Compute's proprietary agent workforce capabilities into its Agentforce platform, enhancing its ability to deliver custom, continuously learning AI solutions for its enterprise customers. [7, 15, 22]
Precedent: Acquired Slack, 2021
Google could integrate Applied Compute's 'Specific Intelligence' platform to bolster its Vertex AI Agent Builder, offering more tailored and continually improving AI agents for enterprise clients. [22, 35]
Precedent: Acquired Mandiant, 2022
Workday, through its Sana platform, could acquire Applied Compute to deepen its capabilities in enterprise automation and AI operating systems, particularly in building custom AI models that learn from proprietary data. [22]
Precedent: Acquired Adaptive Insights, 2018
UiPath could acquire Applied Compute to enhance its AI Agents offering with advanced continual learning infrastructure and custom AI model development, further extending its leadership in enterprise automation. [2, 22]
Precedent: Acquired ProcessGold, 2019
Strategic fit inferred by StartupHub from each buyer's own acquisition history. No deal, approach or discussion is implied.
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An entrant is a company tagged Agentic AI whose domain was first registered in the window, counted from registry records in the StartupHub directory. 49 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
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