Participated · Series A · Jul 2023

Collectly builds proprietary interfaces that integrate with electronic health records and practice management software to automate and streamline patient billing and payment collections for small and solo medical practices. Originally launched in 2017 as a digital debt-collection startup and later part of Y Combinator, it refocused as a patient financial engagement company. Customers have, on average, increased patient collections by 75%, reduced days sales outstanding to about 12 days from 60–90 days, and achieved a 93% patient satisfaction score. The platform engages over 300,000 patients daily and is growing revenue more than 3x year-over-year, and the company reports no churn. Collectly intends to use new funding to develop technology and products, double headcount by year-end, roll out pre-service modules and in-person payments, and explore AI tools like ChatGPT to improve patient experiences. Collectly digitizes debt collection by moving interactions online, tracking debtor responses, and using that data to tailor outreach and repayment solutions. The company says its approach enables recovery of two to three times as much debt compared with traditional agencies, according to CEO Levon Brutyan. Collectly has focused initially on the healthcare sector and is working to sign up the roughly 100,000 medical practices around the country. To boost distribution it is building integrations with major electronic health record providers Athena Health and DrChrono so practices can sync data without manual exports. TechCrunch described the business as nascent but showing early traction. The team raised funding to invest in scaling the product and sales efforts.

Participated · Series A · Mar 2023

Pitchly is a no-code, SaaS-based data enablement company that centralizes and activates business data to power real-time content and document generation. Its data enablement suite includes data collection, integrations, approvals, a drag-and-drop editor and rule builder for smart data-connected templates, and publishing to documents, APIs, and partner products. The platform aims to streamline compliant, repeatable processes for creating customized content, reducing time spent searching, creating, formatting and publishing content by up to 93%. The company reported strong operating momentum including 90%+ ARR growth and a second consecutive year of top-tier customer retention. With the new funding Pitchly plans to expand its sales and marketing team, broaden its SaaS offering, deliver new products this year, and grow its partner ecosystem and customer community. Pitchly is based in San Francisco and emphasizes customer-driven product expansion and thought leadership on data enablement.

Participated · Seed · Jun 2022

Adwisely, formerly RetargetApp, provides ad automation solutions for e-commerce direct-to-consumer brands across Facebook, Instagram, YouTube and Google. The platform aims to increase efficiency in the ad buying process for growing SMBs and now serves 1,000+ DTC brands in the US and Europe, including KSENIASCHNAIDER, Survival Miami and Sports Fan Island. The company recently launched a growth solution that pairs its automation platform with human expertise for larger or more complex projects. Adwisely plans to use its new funding to integrate with additional advertising platforms. Founded in 2018 and led by CEO and founder Paul Matvienko, the founding team is Ukrainian and the company is based in Wilmington, Delaware.

Participated · Seed · Nov 2021

Neatsy.ai offers a fit-tech SDK that uses iPhone X+ TrueDepth 3D scanning to measure feet on-device with claimed 1–2 millimetre accuracy and preserve user privacy. The AI currently produces personalized fit recommendations for a limited set of sneaker brands (Nike, Jordan, Converse, Adidas, Reebok, Yeezy, Puma, New Balance, Asics, Under Armour and Vans). The company has pivoted to a B2B model focused on selling its SDK to e-tailers and charges based on Monthly Active Users. Neatsy reports an ARR of $120,000 from two signed e‑commerce marketplace customers and has several pilots underway; its paying clients are currently in Europe. It cites a 39% reduction in shoe returns and a roughly 20% increase in ARPU (about $0.50/month per user) from deployments. With the seed, Neatsy plans to expand supported footwear categories (including formal and children’s shoes), launch web and Android versions, simplify integration, and build a customer success team. The company is also developing algorithms to detect foot conditions (e.g., flat feet, pronation/supination) and is consulting an orthopedist after interest from sports teams. Neatsy AI’s core product is an iOS app that uses the iPhone front-facing depth sensor to create 3D foot scans and generate personalized fit scores for sneaker models. The app is soft launched on iOS and due to launch officially next month, and is currently available in the US, UK, Germany, France, Italy, Spain, Netherlands, Canada and Russia. Neatsy analyzes scans with a machine learning model trained on scanned insoles and factors such as shoe materials to predict comfort across brands including Puma, Nike, Jordan Air and Adidas. The startup says it has a US patent for its 3D scanning technology and is continuously refining the algorithm with user fit feedback. In commercial pilots the team reported a 2.7x reduction in size-based sneaker returns and a 1.9x decrease in returns overall in a 140-person focus group. Today the app operates as a direct-to-consumer ecommerce channel with revenue share when users buy sneakers; the company’s longer-term plan is to sell its fitting tech to ecommerce retailers as a B2B integration.

Led · Series A · Jul 2020

Mobalytics builds an automated, data-driven coach for competitive gaming, originally leveraging League of Legends API data to quantify player skills like survivability and teamplay. The company has expanded its assistants to multiple titles, including Legends of Runeterra, Teamfight Tactics and Valorant, and tracks metrics such as information processing, map awareness and tunnel vision. It partnered with Tobii to add eye-tracking metrics, running research to convert high-frequency gaze data into player-facing measures. Mobalytics aims to create an adaptive gaming assistant that personalizes suggestions to improve play. The company reports more than seven million monthly active users and plans to use new funding to double down on what has worked and expand into other games and genres. Mobalytics builds an analytics-driven competitive gaming coach that uses existing APIs and available data to assess player skills via a Gamer Performance Index (GPI). The GPI delivers a snapshot of a gamer’s playing style along with strengths and weaknesses in a single image to help players see what to improve, better match against competitors, or build more effective teams. The company is focused on top PC e-sports titles initially, launching a private beta for League of Legends to the first 10,000 people on its waiting list and planning Overwatch PC support early next year, with console gamers under consideration. Nearly 20,000 users have signed up for early access. Mobalytics raised $2.6 million in a seed round to recruit talent and expand operations across the globe; this is the company’s first major bout of fundraising. Co-founder Amine Issa said the immediate priority is ensuring the algorithms generate meaningful insights so players will trust and rely on the platform.