Participated · Seed · Feb 2024

Codified is developing a data-governance platform that lets organizations author policies in natural language, declarative syntax, or via a UI and then codifies those policies into implementations across applications. The product supports conditional rules — for example, requiring recent security training (within 365 days) or membership in a sensitive project — to determine data access rather than relying on brittle group memberships. That approach aims to make policies easier to change and less vulnerable when people move roles. The company is still in development and is working with several design partners to refine the product. Codified has a small team of five full-time employees plus about six contractors. The company announced a $4 million seed round and hopes to ship a release candidate later this year.

Participated · Seed · Oct 2023

Muir AI uses machine learning to estimate product-level and supply-chain (Scope 3) carbon emissions by virtually disassembling products into components and materials. The company ingests data from customers, open web repositories and peer-reviewed journals, and uses generative AI and probabilistic models to fill data gaps. When factory locations are known, Muir analyzes satellite imagery to extract features such as on-site renewables, smokestacks, trucks and parking lots to refine its estimates. It plans to provide customers uncertainty metrics around its figures and to trace where the largest sources of error lie within supply chains. The product targets the complex problem of supply-chain emissions accounting where vendors often do not report auditable data. Muir has raised a $3.25 million seed round to fund technical and business development, reflecting its early-stage financial position.

Led · Seed · Apr 2023

Storia AI develops generative AI tools that let filmmakers and TV show producers visualize hypothetical prompts and map out creative vision in pre-production. The platform can process text, speech, images and video and evolved from an earlier prototype called Rick and Mortify that generated episode storyboards with dialogue and images. Founders Mihail Eric and Julia Turc bring NLP and ML backgrounds from Stanford, rideOS, Amazon Alexa, and Google BERT; the company launched in December. Storia trains its models on proprietary IP under license agreements and intends outputs to be used internally for pre-visualization to address copyright concerns. The startup has showcased digitally altered clips from Oscar-nominated films to demonstrate capabilities and plans to sell its software via subscription, targeting enterprise customers and some high-end consumers. Storia works mostly remotely from New York and California and has raised some venture capital while also winning a $250,000 pre-seed prize.

Participated · Seed · Aug 2022

Alongside builds an app that interacts with students via a chatbot, offers therapy exercises, journaling tools, soothing audio, and videos of peers describing similar issues. The product uses AI sparingly to detect feelings and match evidence-informed exercises, and it refers students in crisis to their school’s support team. The company launched this April and has lined up pilot programs with public and private middle and high schools for the fall, with additional sign-ups underway. Founders Jay Goyal, Anish Mehta, and Scott Freschet are alumni of Actively Learn, and psychologist Elsa Friis leads mental health for the product. Alongside emphasizes confidentiality while notifying schools when its AI detects crises and provides immediate resources like the 988 Lifeline. Its revenue model charges schools and districts an annual per-student fee, though the company is piloting the app for free this fall. The team plans to further develop the product with input from adolescents and mental-health experts and expand to schools across the country while contributing to research on subclinical care.

Led · Seed · Mar 2022

Stack offers a $3/month subscription Android app designed to teach teens (and their parents) how to invest in cryptocurrency while providing a trading environment tailored to minors. The product uses UTMA accounts so assets transfer into a teen’s name at 18, limits offerings to seven cryptocurrencies, and blocks off-platform transfers to reduce fraud. Users can earn rewards as they learn, and the app launched with more than 6,000 users on the waitlist. The company was founded in 2021 and the founding team includes CEO Will Rush, CTO Natalie Young, and CCO Angela Mascarenas. Stack has eight employees and expects to hire two more this year. Future plans include expanding financial licenses and offerings, building a high school–focused financial literacy program, and overhauling educational content to cover topics like NFTs, the metaverse, and web3. Stack is a Seattle startup focused on making cryptocurrency and modern finance accessible to Gen Z. Led by founder and CEO Will Rush, the company is launching a gamified platform that allows teens to invest in more than 30 cryptocurrency coins. Stack emphasizes financial literacy, aiming to provide foundational education on the benefits, risks, and mechanics of crypto investing. The startup won the top prize at Madrona Venture Labs’ Launchable Web3 event. As part of that win, Stack will receive $100,000 in pre-seed funding from Madrona Venture Labs. The article notes the platform is launching but discloses no user, revenue, or other operating metrics. No other funding rounds or investors were mentioned in the article.