Duku AI

Unqork is an AI-first, no-code enterprise application platform designed to replace traditional coding with visual, component-based development. The platform targets large organisations seeking to build new applications or modernise existing systems without accumulating technical debt. Its primary industry focus spans insurance and underwriting, government and public sector, and broader enterprise IT modernisation. The platform's core offering centres on a visual, component-based environment where applications are assembled rather than written. Unqork claims this approach eliminates technical debt at the architectural level, producing systems that improve over time rather than degrade. Among its more specialised products is an AI-powered underwriting workbench, aimed at streamlining insurance workflows. The company also works on government IT transformation projects, with a stated focus on modernising critical public-sector systems. Unqork describes its engineering culture as collaborative and non-hierarchical. The company explicitly rejects what it calls a "superhero culture," instead emphasising cross-functional teamwork, shared ownership of outcomes, and open communication. Innovation is said to come from diverse perspectives and employees working outside their strictly defined roles. The team characterises its mission as delivering on commitments to customers rather than simply shipping software.

Explorium operates a B2B data layer designed to supply the external data and infrastructure that AI-powered products and go-to-market agents need to function effectively. Its platform aggregates and harmonizes data from more than 50 trusted sources, providing coverage of 146 million companies and 767 million professional profiles. Delivery options include API and MCP integrations, making it straightforward to embed Explorium's data into agent workflows and AI pipelines. The platform is built around several capabilities relevant to GTM and AI use cases: structured and harmonized data outputs, natural language interfaces that simplify querying, automated target discovery, and personalized signal generation. The underlying data infrastructure is designed to handle the reliability and consistency requirements of enterprise-grade deployments. Explorium's external data platform is used to accelerate agent development, enhance contextual intelligence in AI products, and support B2B data enrichment initiatives. Customers include Taboola, PepsiCo, Outreach, Bombora, and Deloitte - spanning media, consumer goods, sales technology, intent data, and professional services.

Leapwork builds an AI-powered, no-code test automation platform designed for enterprise environments. The platform enables teams to build, maintain, and scale automated testing across web, mobile, desktop, and AI-native applications, without requiring a programming background. It is recognised as a Microsoft-Certified Industry AI Solution and is backed by KKR, DN Capital, Salesforce Ventures, and Headline. The company's core technical focus is continuous validation - described as fully agentic, application-agnostic, and deterministic by design. Engineers work across the full product lifecycle, from concept to deployment, and the team actively experiments with technologies including agentic AI orchestration and vector databases. AI-assisted development tools are part of the standard workflow, and engineers contribute to the broader developer ecosystem. The engineering culture is built around ownership and focus. Teams ship frequently, collaborate openly, and are expected to take end-to-end responsibility for the features they build. The company positions itself as combining the financial stability of institutional backing with the pace and decision-making of a high-growth company. Leapwork serves some of the world's largest enterprises across industries where reliable software delivery is critical. Its platform addresses a long-standing challenge in QA and software delivery: making robust test automation accessible to technical and non-technical users alike, at enterprise scale.

Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with headquarters in the United States and a delivery center in India. In under five years, it has grown to nearly 500 professionals and has been profitable since its inception. The firm helps clients navigate digital transformation - modernizing legacy systems, building software products, and developing AI-powered analytics platforms that translate data into actionable business insights. Veersa operates across industry verticals including healthcare and enterprise business operations, with stated use cases ranging from improving patient outcomes to increasing operational efficiency. Its technical work spans digital engineering, data analytics, and artificial intelligence, with a team that combines hands-on software engineering expertise with domain knowledge in the industries it serves. The company's operating principles reflect a deliberate culture: decisions are pushed toward those closest to the problem, intellectual humility is valued over hierarchy, and the emphasis is on learning by doing rather than dogma. Engineers are expected to take real ownership of their work, with accountability tied directly to outcomes rather than process.

Encord builds data infrastructure and tooling for AI and machine learning teams. Its platform covers the full data development lifecycle: managing and curating datasets, annotating data at scale with workforce management features, and evaluating models in production for reliability and correct behaviour. The company positions data quality as the central variable in whether AI systems perform as intended. The platform is designed for multimodal AI workflows, supporting teams that need to move from raw data to production-ready models. Core capabilities include: Data management and curation – tools for organising, filtering, and maintaining the datasets used to train and validate models Annotation and workforce management – labeling infrastructure and tooling to coordinate annotation work at scale Model evaluation and observability – capabilities for assessing model behaviour both during development and in production Encord was founded by former quantitative analysts, physicists, and computer scientists, and its team includes engineers and operators who have worked at Meta, Microsoft, Apple, Intel, Goldman Sachs, McKinsey, and J.P. Morgan. The company is backed by Y Combinator, Next47, and CRV, among others.

WeSort.AI GmbH is a Würzburg-based technology company that develops AI-powered sorting and analysis systems for the recycling industry. Its core technology combines X-ray imaging, camera data, and deep learning to identify materials and specific objects at a granular level - distinguishing between material classes such as paper, plastic, and metal, and detecting complex mixed fractions within waste streams. The company's product portfolio centres on three areas. An AI-based sensor module analyses visual data to precisely classify materials in real time. A broader range of intelligent sorting systems integrates X-ray and camera inputs with AI to determine the composition of waste objects in detail. Its Battery.Sort solution specifically targets the detection and extraction of incorrectly disposed lithium-ion batteries and electrical appliances - a problem that poses a significant fire and machinery damage risk at recycling facilities, while also leaving recoverable critical raw materials unrecovered. WeSort.AI serves major clients across the European recycling industry. Its work is framed around the recovery of critical raw materials - minerals and metals that Europe currently imports in large quantities from overseas - by making those materials accessible through more precise sorting earlier in the recycling process. The company positions itself within the broader shift toward a circular economy.