Participated · Series C · Aug 2026

CodeRabbit offers an automated platform that uses AI agents to review freshly generated code in real time, catching syntax errors, logic bugs and security vulnerabilities as code is created. The company has expanded its offering with Agentic Change Management, which includes CodeRabbit Triage for scoring and routing pull requests, Change Stack for visualizing a change's impact on system behavior and dependencies, and CodeRabbit Security for full-repository scanning and continuous monitoring after code ships. Its tools validate incoming pull requests using repository-wide context and sandboxed test environments, and can generate recommended fixes that re-enter the pull request workflow. CodeRabbit has positioned the product to help teams prioritize and govern a rising volume of code changes originating from developers, nontechnical staff and automated agents. The company announced a $143 million Series C to accelerate these product capabilities and scale adoption. Prior investors such as CRV, Scale Venture Partners, Flex Capital and Pelion Venture Partners participated in the latest round.

Participated · Series C · Feb 2026

Pepper is a New York City–based company offering a unified software platform that helps independent food distributors manage ordering, sales and marketing, accounts receivable, and embedded payments in one place. Its AI-driven tools aim to boost distributor revenue, increase workforce productivity, and optimize daily operations. The platform currently powers more than 500 distributors that collectively represent approximately $30 billion in annual gross merchandise volume. Pepper also supports over 100,000 active restaurant and operator customers nationwide. With its all-in-one approach, the company positions itself as critical infrastructure for the independent food distribution ecosystem. Newly raised capital will be directed toward further product innovation and the deepening of its AI capabilities to accelerate adoption across the market.

Participated · Series A · Jun 2025

Bedrock Ocean develops and builds autonomous underwater vehicles (AUVs) and accompanying software to map the ocean floor using sonar and magnetic sensors. Its AUVs run up to 12 hours on lithium-ion batteries, sail five to 10 meters above the seafloor, and store and partially process data on board before surfacing to transmit via Wi‑Fi. Two AUVs can cover the same ground as one traditional mapping ship, and a 40-foot ship could carry 10–12 AUVs; Bedrock says its vehicles cost less than $1 million apiece. The company’s approach uses lower-power, higher-frequency sonar deployed closer to the seafloor, which it says reduces harm to marine mammals. Bedrock can place items on the seafloor with roughly one- to two-meter accuracy, and notes that not all surveys require sub-meter precision. Over the last two quarters the startup has performed paid survey work for offshore wind, oil and gas, and environmental assessments, and its rapid-assessment capability has drawn interest from the U.S. Navy. Bedrock provides high-resolution seafloor maps collected by its purpose-built autonomous underwater vehicle (AUV) and delivered via Mosaic, a cloud-native web service that handles analysis and hosting. The company designed its AUV to operate within 50–75 meters of the seabed using high-frequency sonar to produce more detailed imagery while minimizing harm to marine life. Mosaic is format-agnostic and launches with a promotion of 50 GB of free storage to drive adoption and aggregate previously hard-to-use survey data. Bedrock positions its offering as faster, cheaper, safer, and operationally more flexible than traditional crewed survey ships, enabling launch from a pier or beach without a boat. The product targets near-shore markets tied to the growing offshore wind and coastal monitoring demand where cloud handoff is feasible. Leadership says the long-term ambition is to enable near-regular mapping of the ocean, aiming ultimately to survey the whole ocean on a yearly basis.

Led · Equity · Mar 2024

Founded in 2022 by Joey Levy and Jake Paul, Betr operates at the intersection of real-money gaming and sports media. The company’s flagship product, Betr Picks, debuted in September 2023 and has already attracted several hundreds of thousands of paying users across 33 states and Washington, D.C. In 2024 it added Betr Arcade, now live in 29 states, and it plans to roll out additional nationwide gaming offerings within the same app in 2025 to further diversify its product suite. Betr complements its gaming platform with original media programming that drives user engagement and acquisition. By integrating high-profile personalities and tailored content, the firm seeks to blur the lines between wagering, entertainment, and fan communities. Its strategy relies on leveraging the large social footprints of partners and creators to amplify reach and lower customer-acquisition costs. Although specific revenue figures were not disclosed, the rapid user growth and expanding product roadmap underscore the company’s ambition to become a leading consumer brand in U.S. real-money gaming.

Participated · Series B · Dec 2023

OfferFit builds an automated experimentation platform that replaces traditional A/B testing for lifecycle marketers using reinforcement-learning AI that continuously learns and adapts to customer actions. The product accelerates experimentation and personalization for campaigns including cross-sell, upsell, retention, referral, and winback. Enterprises such as MetLife, Foxtel Group, and Brinks Home have adopted OfferFit’s AI to automate experimentation. OfferFit said it will use the $25 million Series B to scale and invest heavily in product development, making the platform quicker and easier to deploy and giving marketers more tools to leverage automated experimentation insights. Investors and company statements indicate OfferFit is on pace to triple this year and has never churned a customer, with every existing customer either expanding or in active discussions to do so. The company positions its AI-driven approach as a response to rising customer-acquisition costs by making referral and targeted campaigns more efficient. OfferFit provides an AI-based platform that replaces manual A/B testing with self-learning reinforcement‑learning models (ensembles of contextual bandits) to automate personalized decisions on messages, channels, incentives, and timing. The company builds its own models and modeling framework using Python, NumPy, and TensorFlow, and runs containerized pipelines on Google Cloud Platform (BigQuery, GCS, GKE). Clients such as Brinks Home Security and Engie use OfferFit to increase campaign performance and save marketers hundreds of hours per year. Brinks reported a 200%+ increase in customer-retention performance and saw churn fall from 18.5% to 13% after deploying OfferFit across its roughly 1 million customers. With the new funding OfferFit plans to build the OfferFit Portal so customers can build custom reports and adjust configurations without engineering support. The company was founded in October 2020 by George Khachatryan and Victor Kostyuk and is based in Boston, Massachusetts.