Participated · Series C · Feb 2026

Founded in 2012, UpGuard delivers an AI-driven Cyber Risk Posture Management (CRPM) platform that unifies vendor risk, breach risk, user risk, data-sharing trust, and GRC automations into a single view. The system processes more than 100 billion risk signals every day and, in the last 100 days alone, analyzed 23 billion tokens to generate 70 k AI risk assessments and auto-complete 700 k security questionnaires. UpGuard’s technology has triaged 90 % of 483 k breach signals, helping lean security teams focus on high-intent threats. The company has earned G2 recognition as the top Third-Party and Supplier Risk Management solution for 15 consecutive quarters. Its customer base includes 50 k organizations in over 90 countries, with 2 000 paying customers supported by a distributed workforce in 14 nations. Headquartered in Hobart, Tasmania, with a U.S. base in Mountain View, California, UpGuard plans to use new capital to extend its AI capabilities, expand global go-to-market efforts, and pursue strategic M&A. Financial details from prior rounds were not disclosed, but the firm highlights a track record of capital efficiency alongside rapid scale.

Participated · Series D · Feb 2026

Neara develops a physics-based digital twin solution that allows electric utilities and other infrastructure owners to create highly detailed 3D models of their entire asset networks. The software simulates real-world physics to reveal under-utilised capacity, accelerate renewable and new infrastructure connections, and improve grid reliability as energy demand surges. To date, the platform has modelled more than 15 million assets covering over 3 million kilometres across four continents, serving customers such as Southern California Edison, CenterPoint Energy, ESB Networks, Scottish Power, Hedno, and nearly 90 % of Australia’s network utilities. Clients report eight- and nine-figure cost savings and faster project delivery. With total funding of roughly AUD 180 million, Neara plans to use its new capital to scale its machine-learning and AI engineering teams and broaden its international commercial reach. The company aims to address global infrastructure challenges tied to electrification, climate resilience, and rising AI-driven energy demand.

Participated · Seed · Oct 2025

Sumble offers GTM teams a data platform that continuously scrapes and structures publicly available web information to reveal granular details about target companies, including organizational hierarchies, technology stacks, and unfolding initiatives like cloud migrations or GenAI projects. The product aims to help sales, marketing, and customer success functions pinpoint the right prospects and craft tailored outreach based on real-time company signals. Founded by Anthony Goldbloom and Ben Hamner, the creators of Kaggle (acquired by Google in 2017), the startup leverages the founders’ machine-learning expertise and community pedigree. Early adopters already include high-growth technology firms such as Snowflake, Figma, Wiz, Vercel, Elastic, Atlan, Wandb, Omni, Snyk, and Dataiku. Freshly capitalized, Sumble plans to scale its engineering team, deepen data coverage, and broaden commercial reach. The $38.5 million of seed and Series A funding provides the financial runway to accelerate product development and go-to-market hire expansion, though no revenue or user metrics have yet been disclosed.

Participated · Series A · May 2025

Founded in 2017 in Melbourne, Blinq offers an app that lets users create and share digital business cards through QR codes, NFC, email signatures, short links and video-call backgrounds. The service integrates with CRMs such as HubSpot and Salesforce, automatically capturing contact details and syncing them for follow-up. Blinq has amassed more than 2.5 million users across 500,000 companies, with 80% of its customer base located in the United States. The company operates on a B2C2B model: individuals adopt the free app, driving viral growth, while organizations pay per seat as usage spreads internally, generating expansion revenue. Competition includes Mobilo, Popl, Wave, Wix and traditional networking tools like LinkedIn. The team has grown from five employees to 67 distributed across Sydney, Melbourne, New York and San Francisco. Future plans include deeper enterprise penetration, entry into new geographic markets and additional features that help users nurture professional relationships after the first contact.

Led · Seed · Oct 2024

Lorikeet develops AI-powered universal customer concierges that operate across chat, email, and voice and are designed to make judgment calls and take actions rather than just answer FAQs. Its product emphasizes safety and auditable execution via granular permissions and dynamic gating, enabling end-to-end handling of high-consequence workflows such as replacing lost or stolen debit cards without human intervention. The company focuses on regulated industries including financial services, healthcare, and energy to ensure robustness in tough environments. Since its public launch in October, Lorikeet says revenue has grown 10x and it is solving exponentially more customer conversations month over month. Customers include several unicorns across the United States, Europe, and Australia, notably Airwallex, Linktree, Flex, and Eucalyptus. Lorikeet plans to double down on R&D and global go-to-market efforts in the second half of 2025; it has raised over $50 million in funding to date. Lorikeet builds an AI customer experience platform powered by a proprietary intelligent graph technology that orchestrates sophisticated workflows for complex, regulated support cases. Its AI agents are designed to handle multi-conditional problems, engage on sensitive topics, and surface uncertainty so they avoid giving incorrect answers. Since launching in October 2024 the company has grown quickly—bookings increased 3.5x and it added several unicorns and public companies as customers and pilot partners. Customer metrics cited include a 10-point CSAT increase and doubled support volume for Eucalyptus, CSAT rising to 75% for MagicEden (from 45%), and Breeze resolving 40% of complex support volume within 30 days. The company plans to use the new funding to enhance its intelligent graph, expand enterprise capabilities, and accelerate go‑to‑market efforts across healthcare, financial services, technology, and other regulated industries. Lorikeet says it will also aggressively expand into the United States while growing its local team in Sydney. Lorikeet offers an AI customer support platform built on a unique architecture that enables agents to resolve complex tickets while maintaining high customer satisfaction. Its framework lets AI agents follow established standard operating procedures (SOPs) to tackle complicated support workflows. The company serves customers including Remote.com, Step, Eucalyptus, Stashaway, and SensorFlow. Lorikeet was founded by Steve Hind and Jamie Hall and is based in Sydney, Australia. The startup recently raised $5.0M in a seed round and plans to use the capital to support product development and accelerate global expansion. The platform is positioned for scale in customer support but the article does not disclose revenue or user metrics.