Participated · Series A · Nov 2022

Obrizum applies adaptive-learning techniques and an AI engine to create "knowledge spaces" from a company’s existing training assets, including webcasts, PDFs, slide decks, infographics and VR content. Its platform tailors learning to individuals by identifying knowledge gaps, adjusting content through regular assessments, and detecting guessing or click-through cheating. Managers receive real-time summary analytics with the ability to drill down into group and individual performance, while employees can anonymize data and request deletion under GDPR. Obrizum says it works with about 20 enterprise clients across government, aerospace and defense, employs 38 people, and reports revenue grew 17x since year-end 2020. The company plans to invest in more comprehensive content automation, advanced analytics, third-party integrations, and collaboration and sharing capabilities. It competes with platforms such as Learnsoft, Workera, GrowthSpace and Go1 in the expanding corporate skilling market.

Led · Series A · Apr 2020

Phantom AI provides a comprehensive autonomous driving platform that includes computer vision, sensor fusion and control capabilities. The company was founded in 2017 by Hyunggi Cho and Chan Kyu Lee and is based in Mountain View, CA. Phantom plans to use the new funding to accelerate series production development with major OEMs. The startup has raised a total of $80.2M since its founding. Its product focus is on moving autonomous-driving technology into production through partnerships with automakers. Phantom AI develops a vehicle-agnostic autonomous driving platform featuring computer vision, sensor fusion and control capabilities delivered through a modular, software-based vehicle stack. OEMs and Tier 1 suppliers can select and customize components of the stack for high flexibility. The company was founded in 2016 by lead engineers from Tesla’s and Hyundai’s ADAS teams and is led by CEO Hyunggi Cho. Phantom AI works with several automakers, a truck OEM and multiple European and Asian tier 1 suppliers. The company raised $22m in a Series A round, bringing total capital raised to date to $27m. It plans to use the funds to accelerate product development and to scale operations in Europe and Asia.

Led · Series A · Mar 2020

Deep North offers a SaaS AI platform that reads video data from any existing or new brand of security cameras to deliver custom analytics without requiring new video hardware. Its platform can retrofit existing security systems to track consumer behavior, purchasing habits, occupancy and wait times, and it pairs with a tablet app to display current in-store occupancy and estimated wait times. The company also sells a Sanitation Management solution that analyzes schedules, coverage and time taken for cleaning activities. Deep North’s tools are used across grocery, fashion, big box, QSR, shopping malls, warehouses, airports and other markets, including Fortune 100 customers in several retail segments. Led by CEO and co-founder Rohan Sanil, the company intends to use the new funding to make key hires and expand services at scale. Deep North builds an analytics platform that uses AI-based video detection on retailers' existing CCTV and camera networks to generate metrics such as daily entries and exits, occupancy, queue times, conversions, and heat maps. The company typically integrates with 60–70% of a customer's installed cameras and says a typical installation takes a weekend. Customers in the US and Europe include shopping centers, retailers, commercial real estate businesses and transportation hubs, though Deep North does not disclose customer names. Deep North emphasizes privacy protections, saying it cannot ascertain individual identities, does not capture PII, stores only derived metadata, and aims to comply with GDPR and the California Consumer Privacy Act. Previously known as VMAXX and led by CEO and co-founder Rohan Sanil, the company plans to expand its product roadmap beyond current metrics toward recommendations and store-layout guidance. Financially, Deep North recently closed a $25.7M Series A to continue expanding its platform; the company has not disclosed its valuation or prior total funding.

Led · Equity · Jan 2019

Jaja Finance is a London-based, digital mobile-first credit card lender founded in 2015 by Per Elvebakk, Jostein Svendsen and Kyrre Riksen. The company offers consumer credit via credit cards and aims to become a major player in the UK credit card market. It will use new funding to fuel growth and to drive the transformation of consumer credit. Jaja plans a substantial recruitment push, targeting a 40% uplift in product, data science, software development, engineering and IT teams before the end of 2022. Original investors, including AG Silverstripe, continue to retain significant holdings. The firm previously worked with KKR to fund its £530 million acquisition of the Bank of Ireland’s British credit card portfolio. Jaja offers digital and physical credit cards through a mobile-first app that uses camera-based ID capture and an AI algorithm for near-instant credit decisions. The company issues Visa-branded cards, supports digital wallets immediately, and advertises no foreign-exchange fees, free cash withdrawals and an APR of 18.9%. Jaja has commercial partnerships including Asda/George.com and will become the consumer credit card issuer for Bank of Ireland UK and the AA under the announced deal. The startup has been intentionally onboarding slowly and reported a waitlist of about 6,000 people prior to launch; it is active only in the UK. Financially, Jaja previously raised about $16 million (including ~£3 million via Seedrs) and is now receiving a new equity injection alongside the acquisition transaction. The company is not disclosing a valuation or current usage metrics beyond the waitlist figure. Jaja Finance is developing a mobile-only credit card product and has begun onboarding users from its waiting list to trial the service. The company intends to use recent funding to launch its credit card offering and expand hiring at its London office, targeting 45 in-house staff by the end of 2019. Jaja says it will pursue a full banking licence in the future but is currently focused on the credit sector. It has pursued partnership and white-label deals to create additional revenue streams alongside its own product. The startup previously trialled its technology in stealth mode in a retail environment to work out bugs before a broader rollout.