# Portfolio > See how selected customers are working more efficiently and achieving their business objectives thanks to Waterglass. Canonical: https://www.waterglass.ai/en/portfolio/ Language: English (Deutsch: https://www.waterglass.ai/de/portfolio.md) Company: Waterglass FlexCo, Börseplatz 1/3/6, 1010 Vienna, Austria · hi@waterglass.ai ## Our client & digital venture portfolio See how selected customers are working more efficiently and achieving their business objectives thanks to Waterglass. ## Clients: Highlighted client projects ## Acquisitions: Acquired software projects ### [Notehouse](https://www.getnotehouse.com) 250+ organizations Acquisition 2025 HIPAA-compliant case-management software for nonprofit leaders, counselors and social workers in the US. ### [Pxl](https://pxl.to) 100M interactions Acquisition 2024 QR-code and microsite builder for marketers, currently being rebuilt as an AI agentic business. ## [notus](https://www.notus.xyz) €2M+ Annual turnover Kicker: Client Location: Switzerland Sector: Media A personal branding agency that uses AI to radically improve their business's efficiency. Marvin Sanginés, Founder ### Summary - AI agents embedded across the content delivery chain - Manual steps automated: raw interviews become structured drafts - Review and approval cycles shortened with agents in the loop - Augmentation, not replacement – agents give experts more leverage - notusOS: an agent-powered platform for a new done-with-you tier notus is a Swiss-headquartered agency that helps B2B founders and executives build their personal brands and generate demand through content – primarily on LinkedIn. With a distributed team of strategists, writers and creatives, it has worked with over 200 clients across Europe, the U.S. and Asia. ### Overview The engagement ran two parallel workstreams. The first built AI agents to improve the efficiency of notus’s existing service delivery. The second co-developed notusOS – a new client-facing platform built around AI agents to open up a second service tier with different economics. ### Context notus runs a fully managed service: clients provide raw input through interviews and conversations, and notus handles the full chain – strategy, content, publishing and audience growth. The client stays hands-off. That model has clear strengths, but it carries a structural constraint common to high-touch service businesses: growth is tightly coupled to headcount. Every new client needs dedicated expert time across a multi-step process, so revenue and cost scale roughly in lockstep. At the same time, the company had built up real intellectual property over years of client work – proprietary frameworks, playbooks and repeatable workflows. They were well-tested and effective, but they lived in people’s heads and internal documents. They powered the service, yet weren’t accessible as a standalone product. That set up two workstreams: one to sharpen the efficiency of the existing model, one to package the methodology into a new, scalable offering. ### AI-powered operational improvements The goal here was to find where AI could take manual effort out of notus’s delivery without compromising the quality of the output. The approach was targeted, not broad. We mapped the delivery chain end to end and pinpointed where human time went into tasks that could be partly or fully automated – turning raw client input into structured drafts, cutting back-and-forth in review cycles, and building internal utilities that gave the team more capacity without requiring prompt-engineering skills. The principle throughout was augmentation: giving experienced people more leverage rather than replacing their judgement. The tools were built to fit existing workflows, not to impose new ones. ### notusOS The fully managed model serves clients who want to be completely hands-off. But there is a sizeable adjacent segment: people willing to be more involved. They want the methodology, the system and expert guidance – but they want to co-drive the work, not fully delegate it. notusOS was conceived for them. It packages notus’s proprietary frameworks into a structured, client-facing platform where the client leads, supported by notus in an advisory role – a done-with-you model alongside the existing done-for-you business. This is a service-to-product transition: taking the IP embedded in a high-touch service and making it accessible through a lower-touch, more scalable format. The hard part is deciding which parts of the methodology are self-serve, which need guided support, and which still require an expert – and redesigning how the company and client work together, since the roles shift significantly. Waterglass contributed systems-architecture thinking, helped structure the platform for long-term extensibility, and advised on where to draw the line between product functionality and human expertise. notus owned the vision and product direction throughout. The two workstreams fed each other. Mapping the delivery chain for automation surfaced what was codifiable and repeatable, which directly informed notusOS. And the two models serve different buyers at different price points – complementary, not competitive: the co-driven tier can be an entry point to the fully managed service, or an alternative for those who prefer to stay involved. ### Outcomes **Delivery efficiency.** AI tools deployed into the production workflow gave the team more capacity per person, cutting manual effort across key parts of the delivery chain. **New venture progress.** notusOS moved from concept to working prototype – a client-facing platform for a second service tier, addressing a segment notus could not previously serve without proportional headcount growth. **Structured operations.** Building both the tools and the platform forced a thorough audit of how the company actually works, surfacing undocumented processes and clarifying which parts of the methodology were genuinely differentiated. **Internal capability.** The team built working fluency with AI tooling and began approaching the business through a product and systems lens – both of which carry forward beyond the engagement. ### Engagement model Waterglass was embedded in the notus team for the duration – part of day-to-day decisions, working alongside internal staff rather than as an outside contractor. On the AI tooling, we led technical design and implementation. On notusOS, the role was collaborative and supporting: contributing architecture and systems thinking while notus kept ownership of the product vision and direction. Beyond the two core workstreams, the engagement included hiring support to build the internal roles needed to carry the work forward. As notus brought these capabilities in-house, our involvement phased out by design – the goal was to leave the team self-sufficient, not dependent. ## [InStaff](https://instaff.jobs) €25M+ Annual turnover Kicker: Client Location: Germany Sector: HR A German staffing platform we put on a GDPR-compliant AI strategy. Max Ferdinand Kunz, CEO & Co-Founder ### Summary - Introduced and implemented end to end GDPR-compliant AI strategy - Document processing automated to lift team effectiveness and efficiency - Process automation across the operation - Built on state-of-the-art AI models, including custom models InStaff is a German online staffing platform that connects employers with temporary workers for short-term jobs across events, retail, logistics and hospitality – sourcing, contracts, payroll and compliance handled end to end for a pool of more than 100,000 vetted workers. We introduced and implemented a GDPR-compliant AI strategy across the operation: automating document processing to lift the team’s effectiveness and efficiency, and rolling out process automation throughout the business. It runs on state-of-the-art AI models, including custom models, with data protection designed in from the start rather than bolted on. ## [HHLA Next](https://hhla-next.de) €1.7B Annual turnover (Group) Kicker: Client Location: Germany Sector: Logistics A logistics venture builder we partnered with to build one of their new ventures from scratch. ### Summary - Built one of their new ventures from scratch, as development partner - MVP shipped in under six months - Compares heavy terminal machinery to guide smarter investment decisions - AI at the core, designed for AI agents to help run the venture HHLA Next is a venture builder that builds and invests in cutting-edge logistics solutions for the companies that move the world. We came on as their development partner and built one of their new ventures from scratch – an AI product that compares heavy terminal machinery so operators can make smarter investment decisions. The MVP shipped in under six months, with AI at the core: not just in how it was built, but in the venture itself, which is designed for AI agents to help run it. ## [Heylog](https://www.heylog.com) €3.8M Total funding Kicker: Venture Studio Location: Austria Sector: Logistics A logistics-tech company we built as a venture from formation to first revenue. Bernhard Hauser, Founder & CEO ### Summary - Built from zero as a venture studio case with corporate partners - Communication workflows between freight forwarders and drivers, managed through WhatsApp - €3.8M in funding from industry partners like Schmitz Cargobull and LKW WALTER - From formation to first revenue in under six months, team grown to eleven Heylog is a logistics-tech company from Vienna that digitises communication along the supply chain: freight forwarders reach their drivers directly on WhatsApp, and unstructured chats become structured workflows – from tour coordination to document exchange. Heylog was our first venture studio case. The company was founded with industry partners in 2021 and built from zero, funded with €3.8 million from Schmitz Cargobull, LKW WALTER and 9.5 Ventures, with first revenue in under six months. ## Today is the right time to get started with AI agents Tell us about your idea and we’ll work with you to draw up a plan to help you work more efficiently and successfully with the help of AI agents. ### How can we help? Book a discovery call and we'll pressure-test the idea with you – what to build, what it takes, and whether a venture is the right move.