Participated · Seed · Jun 2026

Structured AI builds AI-powered software that automates quality assurance and quality control processes for construction projects using proprietary computer vision and optical recognition models. The platform inspects complex construction drawing sets and field work to identify potential QA/QC issues and provide recommendations while retaining human oversight for final decisions. The company aims to integrate its technology directly into design authoring software to offer automated engineering recommendations similar to a spell-check function. Structured AI is led by CEO Raymond Zhao and is based in the United States. Financially, the company has raised $4.2 million in a seed round announced June 10, 2026, bringing total funding to $5 million. The new capital will be used to further develop its computer vision and optical recognition capabilities.

Led · Equity · Feb 2026

EXE Engineering is an environmental-technology startup focused on closing the waste cycle by capturing and utilising biogas from landfills, converting waste into energy, and delivering measurable carbon-offset benefits. Its platform combines advanced emissions-reduction, waste-valorisation, and carbon-offsetting solutions designed for deployment in challenging markets, initially concentrating on several African countries and now expanding into Europe. The company refined its technology while participating in CDP Venture Capital’s Zero accelerator during the 2024–2025 cycle, where it built a proof-of-concept pilot with energy major Eni. A subsequent cooperation agreement with Eni in Africa will evaluate large-scale feasibility, development, and implementation of the technology. Recent accolades include being named one of Forbes and Ventive’s “Top 100 Italian Startups” and receiving the Eni Joule for Entrepreneurship special mention at the Eni Award ceremony. The €550,000 capital infusion from Eni and CDP Venture Capital provides the financial runway to scale commercial projects, enter new geographic markets, and strengthen the company’s organisational capabilities. No operating metrics such as revenue or user counts were disclosed in the article.

Participated · Seed · Feb 2026

Founded in 2025 by Lorenz Hieber and Nikita Kowalski, Berlin-based Qontext provides a platform that continuously aggregates and updates fragmented business information—covering customers, products, processes, and policies—and makes it instantly available to AI models in production. By supplying this context, the software lets marketing, sales, and customer-support teams boost the number of processes that can be automated with consistent, measurable outcomes. The product handles large, fast-changing data sets and enforces complex access controls for both human users and AI agents. Fast-growing startups as well as larger enterprises already use Qontext to avoid duplicative integration work and accelerate AI roll-outs. The company positions its offering as a reusable layer that eliminates the need to rebuild context for every AI use case, thereby improving scalability. With fresh capital, Qontext will expand its team and enhance its context infrastructure to support a broader range of applications. The $2.7 million pre-seed round represents the firm’s first external funding and finances ongoing product development and hiring.

Participated · Series A · Dec 2025

Runware offers an end-to-end infrastructure layer that lets enterprises add generative-AI capabilities—spanning image, video, and audio creation—through one unified API. By combining its Sonic Inference Engine hardware with optimized software, the company targets up to 10× lower costs and markedly reduced latency compared with standard GPU-based providers. Current customers include Wix, Together.ai, ImagineArt, Quora, and Higgsfield, among others, highlighting traction across both consumer and enterprise workflows. The platform addresses three pain points in media AI workloads: fragmented model access, performance latency, and poor unit economics at scale. Runware’s vertically integrated approach aims to remove the need for clients to integrate dozens of vendors or negotiate large volume commitments, accelerating time-to-market for new AI features. With offices in London and San Francisco, the company plans to channel new capital into expanding its team, enhancing the Sonic Inference Engine, and broadening model coverage. Although no revenue figures were disclosed, management reports repeated usage growth peaks as customers roll out new AI features on the platform.

Participated · Seed · Dec 2025

LizzyAI provides an adaptive, conversational AI that conducts role-specific interviews in real time, listening to candidates, asking intelligent follow-ups, and generating structured reports for hiring teams. By simulating a top human interviewer, the system assesses communication skills, problem-solving ability, and other job-relevant traits while aiming to reduce bias. The platform scales from high-volume screening to technical assessments, role plays, and case-based interviews, making it suitable for organizations of all sizes. Customers such as Engel & Völkers report that LizzyAI uncovers candidate potential that traditional interviews can miss. The company positions itself to modernize a global recruiting market estimated at $500 billion. Proceeds from its recent seed round will expand engineering and go-to-market teams, extend product integrations, and deepen its AI interview engine. No revenue or user metrics were disclosed in the announcement.