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The Venture Codex

ScOp Venture Capital

111 E Victoria St Fl 2, Santa Barbara, CA, 93101, United States

Overview

Our approach to investing is simple. We look for scalable opportunities (ScOps). We want companies that fill a fundamental consumer or business need in the most efficient and effective way. We look to partner with people who love what they do and need to make a profound impact. As former founders ourselves, we take a long-term perspective to the investments we make, and see every investment opportunity as a long-term partnership. We primarily focus on SaaS companies who have some proof of market validation which typically means $500k+ in ARR or marketplaces with $500k+ in annualized net revenue. If you have a technology company with both product and revenue, please drop us an email and let's talk.

Total investments
20
Lead investments
7
Investments · 12mo
5
Active investors
4

Sector focus

  • SaaS
  • Venture Capital
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Investment portfolio

  • ChipAgents

    Participated · Series A · Jul 2026

    Founded in 2024 and headquartered in Santa Clara, ChipAgents develops an AI-native platform that applies domain-specific autonomous agents to semiconductor design and verification. Its agents transform specifications and code into production-ready RTL and verification assets and perform automated root-cause analysis, claiming to reduce design cycles by over 50% and compress tasks that once took months into days or hours. The company reported rapid commercial adoption, with deployments at more than 120 semiconductor companies including MediaTek and Micron and 6x ARR growth in the first half of 2026. ChipAgents positions its technology as moving beyond AI copilots to agents that can independently plan and execute multi-step engineering workflows. The company plans to use recent funding to scale customer deployments, expand engineering and go-to-market headcount, and accelerate product development to meet rising global demand.

  • Pangram

    Participated · Equity · Jul 2026

    Pangram develops machine learning models to detect AI-generated and AI-assisted text and images, training on tens of millions of human documents and synthetic mirrors to learn stylistic differences. The company recently launched Pangram 4, its next-generation text detector which it says is over 99% accurate, and Pangram Image, an image detector currently available in research preview. Pangram provides a $20/month web subscription, a Chrome extension that labels content in real time across platforms like X, LinkedIn, Substack, Reddit, and Medium, and an API used by customers such as Substack, Quora, schools, publishers, and recruiters. Founders Max Spero and Bradley Emi, both Stanford AI and machine learning graduates, started the company about two years ago in response to the proliferation of AI-generated content following ChatGPT. The team reports a very low false-positive rate (roughly one in 10,000 human documents flagged) and highlights use cases ranging from publisher integrations to academic and moderation settings. The company has not disclosed revenue figures or detailed financial metrics in the article.

  • Flip CX, Inc.

    Participated · Series A · Jan 2026

    Founded in 2018 and headquartered in New York City, Flip develops a proprietary voice AI platform that instantly answers and autonomously completes high-stakes customer service phone workflows. The system integrates with enterprise back-end tools and has now handled more than 300 million calls, currently processing about 20 million calls per month for roughly 250 global brands such as Under Armour, Tory Burch, and Newell Brands. Flip focuses on deep, vertical-specific integrations, achieving more than 60 % market adoption in the transportation sector and rapidly expanding in retail e-commerce and healthcare. The company positions itself as a specialized alternative to generalist AI agents, touting hundreds of out-of-the-box integrations and proven workflows. Revenue figures are not disclosed, but the scale of usage and enterprise adoption underscore strong operating traction. Proceeds from the latest raise will fund accelerated product development and the build-out of engineering and go-to-market teams in New York, Los Angeles, and the UK. Flip’s operations already span North America, the UK, and Australia/New Zealand.

  • Lifeguard

    Led · Seed · Sep 2025

    Lifeguard Technology, Inc. provides a proactive, AI-powered digital safety service that blocks dangerous websites, filters suspicious SMS messages, detects phishing and other fraud in real time, and monitors personal data for breaches. Its autonomous agents operate 24/7, giving consumers and especially vulnerable populations like the elderly continuous protection without requiring technical expertise. The platform also supplies personalized educational content and contextual browser guidance to strengthen user awareness against evolving cyber threats. Founded by Kevin Marion and Austin Hulak, the company positions itself as a consumer-focused alternative to business-oriented cybersecurity tools. Lifeguard is headquartered in Austin, Texas and markets its service through an online dashboard at trylifeguard.com. The company has raised $1.3 million in seed capital, its first disclosed outside funding. Proceeds will be used to expand the team, scale the underlying AI technology, and accelerate product roadmap execution.

  • Unwrap

    Participated · Series A · Jan 2025

    Unwrap provides an AI-powered customer intelligence platform that uses advanced AI to automatically analyze and extract insights from unstructured text and customer feedback. The company serves enterprise customers including Lyft, jetBlue, Perplexity, Microsoft, and Oura. Founded in 2022 by Ryan Millner and Ashwin Singhania and based in Santa Barbara, CA, Unwrap focuses on surfacing product and customer insights for companies. The business plans to use its new funding to expand its sales and engineering teams to drive product development and growth. The platform is positioned for further enterprise adoption as customers seek automated analysis of feedback at scale. Current operating metrics such as revenue or user counts were not disclosed in the article.

Team