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Rackhouse Venture Capital, VC Fund

Rackhouse Venture Capital

VC Fund

Menlo Park, United States

Rackhouse Venture Capital is a VC fund in Menlo Park focused on Software and Artificial Intelligence. We’re an early-stage venture capital fund that backs data founders, regardless of sector or geography.

Total investments:
30
Last investment:
Lead investor:
23%
Fund size:
$8.1M
Last fund:

Last updated:

Industries Rackhouse Venture Capital invests in

SoftwareArtificial IntelligenceSaaSRetailFinTech

Stages Rackhouse Venture Capital invests in

SeedSeries APre-SeedFunding Round

Countries Rackhouse Venture Capital invests in

United StatesKenya

Round sizes

Seed $4M–$7.5MPre-Seed $1.1M–$2.7MSeries A $5M–$23M

Contacts

NameEmailPhoneSocials

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Round size

Seed
$4M–$7.5M
Pre-Seed
$1.1M–$2.7M
Series A
$5M–$23M

Investment Focus

Industry

  • Software 6 (20%)
  • Artificial Intelligence 5 (17%)
  • SaaS 2 (7%)
  • Retail 2 (7%)
  • FinTech 2 (7%)
See all 40 industries →

Stage

  • Seed 9 (30%)
  • Series A 7 (23%)
  • Pre-Seed 4 (13%)
  • Funding Round 2 (7%)

Country

  • United States 15 (50%)
  • Kenya 1 (3%)

Team

NameTitleInvestmentsLinksEmail
Kevin Novak
Kevin Novak Founder and Managing Partner
Founder and Managing Partner Total investments: 10
Find email

Investments

CompanyDescriptionRoundLinks
Climate Club embeds sustainability into the employee experience at leading companies and drives Net Zero emissions across every department, team and employee. $11.5M / Series A / Apr 28, 2026
Tamber is an AI-powered creative suite for musicians. It acts as a "bionic arm" that enhances production workflows using sonic intelligence for real-time sound control via text, voice, or gestures. $5M / Seed / Apr 23, 2026
Natter provides a web-based conversational intelligence platform that enables organizations to gather, analyze, and act on large-scale qualitative feedback through real-time video interactions and AI-driven insights. The platform allows companies to engage employees, customers, or stakeholders in structured conversations, capturing responsessimultaneously and converting them into summarized insights for decision-making. Its core functionality centers on running live or asynchronous video conversations at scale, where participants respond to prompts and questions, and the system processes these inputs using AI to generate themes, trends, and actionable outputs. This approach replaces traditional surveys and focus groups by delivering faster and more nuanced qualitative data.Natter includes analytics and reporting tools that transform conversational data into structured insights, enabling teams to identify patterns, surface ideas, and prioritize actions across areas such as human resources, product development, sales, and strategy. The platform supports large participant volumes, allowing organizations to capture input from entire workforces or customer bases in a short time frame. $23M / Series A / Apr 07, 2026
XBuild is an AI-powered construction platform designed to streamline various aspects of the construction process, including estimation, supplementation, permitting, closeout, and instant financing. The platform specifically caters to the construction industry's needs by offering tools for insurance-ready roofing scopes for immediate approvalsand facilitating access to payments immediately after job completion. XBuild aims to simplify the construction workflow, allowing contractors to focus on the building aspect while it handles the administrative and financial tasks. The platform also features a collection of timber construction and hybrid structural solutions for inspiration and practical application. $19M / Series A / Jan 20, 2026
ArcPrime is an AI Legal Tech for Intellectual Property Lawyers $4M / Seed / Oct 29, 2025
ArcPrime is an AI Legal Tech for Intellectual Property Lawyers $1.1M / Pre-Seed / Oct 29, 2025
Legal AI for contract negotiations Pre-Seed / Oct 07, 2025
Hipp Health provides an AI-powered platform for Applied Behavior Analysis (ABA) and mobile therapy practices. The system automates tasks such as scheduling, data collection, clinical note generation, and care management. It includes real-time analytics, live session streaming, and tools for treatment planning. The platform tracks session data,manages clinician workflows, and supports regulatory compliance. It integrates operational and clinical information to provide a centralized view of therapy activities. $6.2M / Seed / Oct 06, 2025
Manufacturing industry transformed rapidly over past decades with automation and digitalization leading this transformation, while safety process around manufacturing is still manual and outdated. One consequence of this is that over 85% of near-misses and incidents are not even captured. These near-misses and incidents are in-fact the pre-cursorsto safety incidents, unsafe behavior, and fatal accidents.The financial impact of not working safely can be calculated by tracking both the direct and indirect costs associated with not only injuries (including first aid cases and near misses, which is close to 200 Billion USD annually), but also the ancillary costs within the infrastructure that is required to react to the problems that so often accompany an unsafe workplace. True costs of poor workplace safety go far beyond simple direct costs such as OSHA fines, medical treatments, workers’ compensation, legal or insurance fees, etc. but include also many hidden indirect costs such as public relations costs, loss of reputation, loss of efficiency and productivity, workers’ morale, or their mental health, just to name a few.This is the challenge Be Global Safety addresses. Be Global Safety (BGS) captures and reports these near-misses and incidents in real-time, using Artificial Intelligence. Using existing infrastructure like cameras and sensors, the BGS AI systems assists in immediate and real-time identification of unsafe acts. Date reporting and dashboard integrates seamlessly with other incident management systems or allows the users to use the in-build one. And finally, the data analytics platform also allows the users to take pro-active safety measures to prevent future accidents and incidents. Our mission is to create an intelligent safety solution which can be implemented anywhere human interaction is involved and make the world a safer place. $4M / Seed / Sep 16, 2025
Blok models product changes, expedites decision-making, optimizes engineering resources, and uses artificial intelligence (AI) to assist you in determining which product experiments should launch first. $7.5M / Seed / Jul 09, 2025
See all 30 investments →

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FAQ

What does Rackhouse Venture Capital invest in?

Rackhouse Venture Capital invests primarily in Software, Artificial Intelligence and SaaS startups, most often at Seed and Series A stage. Most of the 30 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

What is Rackhouse Venture Capital's check size?

Rackhouse Venture Capital typically joins rounds of $4M–$7.5M at Seed, $1.1M–$2.7M at Pre-Seed and $5M–$23M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Rackhouse Venture Capital participates in.

How do I contact Rackhouse Venture Capital?

Public channels for Rackhouse Venture Capital include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

Who are the partners at Rackhouse Venture Capital?

The team at Rackhouse Venture Capital includes Kevin Novak (Founder and Managing Partner). The Team section lists each member with their title, investment count and links.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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