Multiply Startup Deep Dive
Note: This document is an AI-generated research compilation, imported as a
secondary source. Claims herein should be weighed against primary sources.
Known error: it conflates Martin Källström with a namesake finance professional
(the claim that he joined the hedge fund Lynx from AP1 in 2018 concerns a different
Martin Kallström and is false for the subject of this site).
Known error: it cites a namesake "Multiply" (a US B2B ads agency, $9.5M raise,
founders Matt Jayson/Ashish Warty) that is unrelated to Fluent Development AB.
Executive Summary
The proliferation of generative artificial intelligence between 2020 and 2024 triggered an unprecedented wave of software development, largely characterized by horizontal application wrappers built atop foundational models. Amidst this rapidly saturating ecosystem, the Stockholm-based technology startup Multiply emerged as a uniquely structured enterprise. The company evolved from a broad collaborative workspace into a highly specialized creative operating system engineered exclusively for the advertising and marketing industries1. Founded by Rasmus Adler Wahlberg, Henrik Eneroth, Martin Källström, and Oskar Lissheim Boethius, the firm represents a fascinating case study in category design, technical pivoting, and second-act entrepreneurial resilience4. This exhaustive research report investigates the trajectory of Multiply, with a specialized focus on the foundational era during which serial entrepreneur Martin Källström served as Chief Marketing Officer and Chief Product Officer7. By analyzing the founders' historical ventures, the strategic utilization of thought leadership via audio media, the radical architectural shift to highly scalable infrastructure, and the subsequent hyper-verticalization into creative agencies, this report extracts deep analytical observations regarding how technical moats and market positioning are engineered in the modern artificial intelligence economy.
Genesis and Founding Dynamics
To fully understand the strategic architecture of Multiply, it is imperative to deeply analyze the historical trajectories of its founding triad. The convergence of Wahlberg, Källström, and Eneroth brought together three distinct but complementary disciplines: aggressive digital marketplace scaling, hardware-to-software consumer technology lessons, and pragmatic data architecture4. The foundational culture of Multiply was not born in a vacuum but was heavily informed by the prior successes and high-profile failures of its executive team.
The Källström Arc: From Hardware Hype to Pragmatic Enterprise Solutions
Martin Källström’s entrepreneurial history heavily informed the strategic patience and product philosophy observed in Multiply's early years. In 2012, Källström founded Memoto, which was later rebranded as Narrative8. Narrative was a lifelogging hardware company that produced a wearable micro-camera designed to automatically photograph the user's life every thirty seconds8. The venture was initially a spectacular success in early-stage crowd-funding, raising over half a million dollars on Kickstarter and subsequently securing extensive venture capital backing from top-tier international firms such as Khosla Ventures, True Ventures, and Passion Capital8. However, Narrative quickly became a cautionary tale regarding hardware economics and societal timing. The product encountered profound friction regarding privacy and contextual social norms, mirroring the societal pushback faced by concurrent wearable technologies9. Källström later reflected on the sociological challenges of wearable cameras, noting that product acceptance required a nuanced understanding of context, specifically differentiating between public spaces where individuals expect to be perceived, and domestic settings where privacy is paramount9. More fatally to the enterprise, the company struggled with unit economics and market demand stabilization following the initial media frenzy. Despite raising approximately one hundred million Swedish Kronor in risk capital, Narrative filed for bankruptcy in September 2016, with its assets eventually being purchased by the company's technical personnel10. In a post-mortem analysis of the venture, Källström identified a critical structural flaw in modern startup scaling: the inability to rapidly pivot a corporate structure from a pure hyper-growth mentality to sustainable sales execution once the initial market hype subsides13. Following the collapse of Narrative, Källström explicitly chose not to join the restructured entity, preferring instead to begin anew13. He briefly explored a financial technology venture aimed at linking European capital to high-yield, stable real estate projects in Asia, spending significant time conducting research in Bangkok and Tokyo14. Despite dedicating six months to the project and noting substantial investor interest, he ruthlessly aborted the initiative prior to launch in 2017 due to delays in the Thai regulatory framework14. This decision demonstrated a matured, risk-averse pragmatism, acknowledging that waiting on unpredictable macroeconomic and regulatory variables was an unviable foundation for a startup. By 2018, Källström had transitioned into institutional finance, joining the Swedish commodity trading advisor manager Lynx as a partner to oversee quantitative and machine-learning-driven alternative investment strategies16. When Källström co-founded Multiply alongside Wahlberg and Eneroth, he brought these accumulated lessons to the executive table. His trajectory instilled an aversion to hardware dependencies, a deep respect for infrastructure readiness, and a distinct preference for sustainable, utility-driven enterprise software over consumer-facing hype cycles4.
Rasmus Adler Wahlberg: Operationalizing Platforms
Serving as Chief Executive Officer, Rasmus Adler Wahlberg provided the operational engine and commercial strategy for Multiply. Wahlberg possessed a robust background as a serial entrepreneur specializing in recurring revenue models and digital marketplaces17. He previously co-founded Advisa, a highly successful Swedish loan brokerage platform designed to help private borrowers reduce their lending costs, which provided him with deep expertise in lead generation and customer acquisition cost optimization17. Following Advisa, Wahlberg founded FitnessCollection, a subscription-based gym and fitness application18. FitnessCollection scaled successfully within the highly competitive Nordic wellness market before being acquired by the American fitness giant ClassPass in October 201918. Wahlberg’s expertise in managing subscription economics, engineering marketplace liquidity, and driving high-value corporate acquisitions provided Multiply with a disciplined go-to-market framework22. His vision for artificial intelligence was strictly commercial; he viewed the technology as a mechanism to eliminate repetitive, low-value work and amplify human potential, rather than a theoretical novelty22.
Henrik Eneroth: The Architectural Visionary
Completing the foundational triad was Henrik Eneroth, who served as Chief Product Officer and principal systems architect. Eneroth’s background as an independent developer, user experience designer, and systems engineer anchored the company’s technical philosophy23. He possessed extensive experience with the Clojure programming language and complex state management, maintaining various open-source repositories and consulting on enterprise interaction design23. In an era where many artificial intelligence startups were merely constructing superficial interfaces over third-party application programming interfaces, Eneroth drove a culture of first-principles engineering. This rigorous technical discipline would ultimately lead to Multiply’s complete backend reconstruction, enabling genuine multi-agent asynchronous processing24.
| Executive Profile | Prior Ventures | Domain Expertise | Role at Multiply (2020-2024) | | :---- | :---- | :---- | :---- | | Rasmus Adler Wahlberg | Advisa, FitnessCollection | Marketplace scaling, enterprise sales, subscription economics | Co-Founder, Chief Executive Officer | | Martin Källström | Memoto/Narrative, Lynx | Consumer hardware, quantitative models, product marketing | Co-Founder, Chief Marketing Officer & Chief Product Officer | | Henrik Eneroth | Independent UX/Development | Data modeling, interaction design, systems architecture | Co-Founder, Chief Product Officer / Technical Lead |
The Foundational Phase: Building in Stealth
Between its inception and late 2022, Multiply operated largely in deliberate stealth mode. The Swedish business press occasionally referred to the firm as a "doldisbolag," indicating a company operating quietly beneath the industry radar28. This methodical pacing directly contrasted with the frenetic, publicity-driven hype cycles Källström had managed during the Narrative era. The executive team utilized this quiet period to build the highly complex foundational infrastructure of an artificial intelligence-powered collaborative workspace.
Initial Product Positioning and Capital Injection
The initial iteration of the Multiply platform was positioned broadly as a cloud-based enterprise collaboration suite. Early market categorizations placed the software alongside established project management behemoths such as Atlassian, Asana, and Monday.com4. The core differentiator, however, was the native integration of generative artificial intelligence into daily collaborative workflows. The system was designed not merely for text generation, but for manipulating complex data structures, establishing templates, and generating imagery within a shared virtual workspace1. In November 2022, Multiply formally announced its presence to the broader technology sector by raising a $1.8 million pre-seed and seed funding round1. The round was led by the Estonian venture capital firm Tera Ventures, with additional participation from the global early-stage investor Antler29. Stanislav Ivanov, founding partner at Tera Ventures, justified the substantial early-stage investment by emphasizing the nascent state of the market. He noted that while open-ended artificial intelligence tools had gained popularity, end-user applications were still in their infancy, and Multiply uniquely solved universally difficult problems related to professional productivity and asynchronous collaboration1. Following the funding announcement, the company opened its waitlist and debuted the platform to industry professionals at the Slush 2022 technology conference in Helsinki1.
Källström’s Dual Role in Product and Brand Synergy
During this foundational phase, Martin Källström operated in a dual capacity as both Chief Marketing Officer and Chief Product Officer. This dual mandate allowed him to actively bridge the gap between backend functionality and front-end market communication7. Källström was listed as the primary press contact for the 2022 funding announcements, utilizing his extensive media network cultivated during his tenure at Narrative to secure strategic coverage1. Internally, Källström oversaw the user interface and user experience design architecture. His product philosophy centered on ensuring that business requirements dictated design choices. Documentation from product designers who worked under his direction highlights a focus on creating a brand identity that felt organic, emphasizing that every design decision shapes user emotion and guides business objectives7. Källström collaborated closely with designers such as Victor Vorontsov to implement the front-end architecture, utilizing platforms like Webflow for rapid iteration of the content management system and marketing assets7. This rigorous dual oversight ensured that the software's complex artificial intelligence architecture did not outpace its usability—a fatal flaw observed in many early generative technology startups.
Shaping the Narrative: Audio Media as Category Design
By early 2023, the macroeconomic landscape for software companies had shifted dramatically. The widespread release and adoption of large language models had flooded the market with derivative software tools. To differentiate the firm from a saturated market of generic digital assistants, the executive team recognized the need to establish a distinct intellectual category. Instead of relying solely on traditional outbound enterprise marketing, Wahlberg and Källström launched an audio podcast titled *"Co-creating with AI"* in January 202330.
Strategic Market Education
Hosted jointly by Wahlberg and Källström, the podcast was explicitly engineered as a vehicle for category design rather than direct software promotion30. The program explored the philosophical, ethical, and practical implications of humans and machines working in tandem—a conceptual framework the founders branded as "Creative Intelligence"30. Over the course of sixty episodes, the hosts interviewed global thought leaders, researchers, and technologists regarding the future of work, organizational development, and the integration of machine learning into professional environments30. This content strategy achieved several critical strategic objectives for the firm. First, it established profound industry authority. By consistently discussing high-level technical concepts, Wahlberg and Källström positioned themselves as industry pragmatists and architectural thinkers30. Second, the interview format provided continuous, real-time market intelligence regarding the friction points enterprise clients experienced when attempting to adopt artificial intelligence. Finally, the public dialogue helped crystallize the company's core thesis: artificial intelligence should not be utilized to replace human creativity, but rather to act as a collaborative agent that absorbs mechanical, repetitive tasks in order to liberate human strategic thinking34.
Thematic Breadth and Technical Depth
The episodes tackled a diverse array of highly technical and strategic topics, showcasing the founders' deep engagement with the technological frontier. Detailed analysis of the episode catalog reveals a deliberate focus on the structural shifts occurring within the software and creative industries. Notable discussions included deep dives into Anthropic's Model Context Protocol, analyzing how standardized communication between models and data sources could revolutionize enterprise workflows30. Other episodes explored the transformative impact of artificial intelligence on coding and software engineering, as well as the implications of OpenAI's omni-model, which introduced seamless multimodal interactions across text, imagery, and audio36. The podcast also heavily emphasized user experience design. In discussions with industry experts such as Tomas Måsviken, the hosts explored the evolving landscape of application design, debating the necessary shift toward centralized user experiences and the proactive personalization of software encounters to break down traditional application silos37. Furthermore, the program addressed the commercial realities of digital marketing, featuring experts like Lindsey Anderson, who discussed the "bot apocalypse" and the necessity of utilizing artificial intelligence to scale authentic engagement rather than resorting to automated, generic social media generation38. This comprehensive audio strategy effectively served as a public research and development laboratory for the company's brand messaging, preparing the market for the highly specialized enterprise software the technical team was simultaneously constructing.
The Great Technical Migration: Establishing an Infrastructure Moat
While Källström and Wahlberg were establishing the company's market narrative and commercial philosophy, Henrik Eneroth was confronting a severe technical bottleneck. The ambitious vision of the platform—where autonomous, expert agents could plan operations, communicate with one another, leverage external tools, analyze complex files, and execute asynchronous workflows—was fundamentally constrained by traditional database architectures24.
The Impedance Mismatch of Traditional Databases
The engineering team initially utilized Datomic, a distributed database highly favored in the Clojure programming ecosystem due to its immutable data model and expressive, Datalog-based query language24. While conceptually elegant and intuitively aligned with functional programming paradigms, Datomic proved rigid for the fluid, highly nested data structures required by continuous large language model interactions. The team subsequently migrated the infrastructure to XTDB to reduce overall codebase size and gain temporal querying flexibility24. However, even XTDB presented fundamental architectural limitations. In traditional database paradigms, the database application programming interface is strictly oriented around a single indexing strategy24. The software required the capacity to track highly complex, dynamic relationships: individual client organizations running arbitrary numbers of request loops, with each request streaming arbitrary numbers of tokens in real-time24. Squeezing this dynamic, multi-agent state into fixed data models forced the engineering team to construct excessive support infrastructure and custom networking layers to handle the inevitable impedance mismatches24. Eneroth noted the profound operational toll of this architecture, observing that the engineering team had lost a holistic understanding of the system they had built. The team understood each component in isolation, but lacked the capacity to view the system operating through the lens of their specific domain model. Eneroth concluded that the team was working against the database, misdirecting vital engineering efforts toward designing the product around database constraints rather than user requirements24.
The Rama Revolution and Continuation-Passing Style
In a bold technical pivot that defined the company's technological moat, the engineering team completely rebuilt the backend utilizing Rama, a highly advanced distributed platform developed by Red Planet Labs24. Rama fundamentally differs from traditional databases by unifying computation and storage into a single dataflow language. This architecture is based on Continuation-Passing Style, a programming paradigm where control is passed explicitly in the form of a continuation, allowing operations to emit values asynchronously rather than returning values to a caller41. Instead of traditional tables, Rama utilizes unindexed event logs called depots, which trigger application code to materialize state into highly customized, distributed, and replicated indexes called Partitioned States24. This architectural shift provided the engineering team with profound strategic advantages, allowing them to mold the infrastructure to fit the product rather than contorting the product to fit the infrastructure24. The adoption of Rama enabled infinite data modeling capabilities. The team structured their Partitioned States to perfectly match their complex domain model, utilizing nested data structures to track request tokens individually without requiring the entire object to be serialized and deserialized upon every minor update24. Furthermore, Rama allowed the team to express both synchronous user interactions and complex asynchronous background tasks within a unified system, eliminating the need for disjointed web servers and custom background workers24.
| Infrastructure Component | Datomic / XTDB Implementation | Rama Implementation | Strategic Advantage | | :---- | :---- | :---- | :---- | | State Management | Rigid schema forcing custom support layers. | Partitioned States matching exact domain models. | Eliminated impedance mismatches; increased agility24. | | Data Processing | Separated web servers and background workers. | Unified compute and storage via dataflow language. | Reduced operational complexity and latency24. | | Token Streaming | Heavy serialization/deserialization load. | Sub-indexed nested structures for individual token tracking. | Sub-millisecond read/write latency at high scale24. | | Codebase Footprint | Disjointed multi-service architecture. | Single module (17 depots, 19 PStates, 42 query topologies). | Allowed a small engineering team to achieve enterprise scale24. |
By embracing this radical architectural shift, the company successfully bypassed the scaling constraints that inherently limit most generative applications. Eneroth stated that this transition put the engineering team back in control, allowing them to express complex architecture through code and focus entirely on business logic24. This transition converted their infrastructure from a liability into a deep competitive moat, enabling the high-concurrency, multi-agent features that global enterprise clients would demand.
Leadership Transition and Strategic Capitalization
By mid-2024, the firm had achieved a critical convergence: the product architecture was highly scalable, the market messaging was clearly defined through the podcast initiative, and early client deployments were proving successful. In June 2024, the company announced a significant funding round of 25 million Swedish Kronor, officially ending its under-the-radar phase28. This injection of capital, which included substantial investment from Bust VC, was explicitly earmarked for rapid commercial expansion into new customer segments and international markets22. This period of capitalization also marked a strategic transition in the executive leadership structure. The data indicates that Martin Källström, having successfully guided the product's interface formulation, initial brand identity, and early market education, stepped back from the active day-to-day Chief Marketing Officer and Chief Product Officer roles. By late 2024 and into 2025, Magnus Wretblad emerged as the active Chief Marketing Officer, securing industry recognition for highly effective, data-driven marketing campaigns in the financial technology sector3. Concurrently, Lars Hygrell, the former global marketing director at Electrolux, joined the firm to focus on executive management engagement and enterprise sales3. Källström's departure from the active C-suite represents a classic and healthy entrepreneurial lifecycle. Having utilized his expertise to navigate the high-risk zero-to-one phase of product creation and market positioning, he passed the operational baton to scale-up executives specialized in global enterprise expansion.
Hyper-Verticalization: The Creative Operating System
Following the 2024 capitalization and leadership expansion, the executive team made a decisive strategic maneuver. The firm abandoned its initial, broad positioning as a general enterprise collaboration suite and aggressively hyper-verticalized. It rebranded itself definitively as a Creative Operating System, engineered specifically for advertising agencies, creative networks, and in-house marketing departments32.
Confronting the Crisis of Strategic Trust
The strategic brilliance of this pivot was clearly articulated by Lotta Malm Hallqvist, a veteran advertising executive who joined the company as Chair of the Board in March 202644. With three decades of experience scaling global network powerhouses such as McCann, Mother, and Cheil, Malm Hallqvist identified a structural crisis permeating the advertising industry: the gradual erosion of strategic trust between agencies and their clients34. Due to procurement-led commoditization, severe fee compression, and the relentless pressure to deliver high volumes of content across digital channels, clients had stopped valuing the invisible intellectual work—the strategy, cultural reading, and insights—behind campaigns34. Agencies were increasingly treated merely as mechanical content vendors. The advent of generic generative artificial intelligence threatened to accelerate this race to the bottom by enabling the production of even more high-volume digital content at a lower cost34. The Creative Operating System was positioned as the technological antidote to this crisis. Instead of utilizing algorithms to blindly generate final copy, the platform deploys specialized agents to absorb laborious, mechanical tasks such as massive research synthesis, competitor mapping, and first-pass briefing analysis34. This targeted automation liberates human creatives to focus entirely on cultural nuance, strategic instinct, and collaborative client ideation. As Malm Hallqvist emphatically noted, technology must be deployed to amplify the human signal, not substitute it34.
Ecosystem Architecture and Data Sovereignty
Unlike horizontal utility tools which inherently lack stringent client separation, or proprietary holding-company platforms which are inaccessible to independent agencies, this platform occupies a highly defensible middle ground2. The software is strictly structured around organizational hierarchies, categorizing work by organization, workspace, project, and task. A client's specific brand guidelines, historical campaign data, and tonal expectations are firmly established at the workspace level, ensuring that all deployed agents remain contextually accurate and strictly brand-compliant across all subsequent projects2. For example, in a documented deployment for MyFitness Gyms—a mid-market fitness chain operating over 230 locations—the system maintained persistent intelligence regarding the brand's core positioning of being approachable and non-intimidating. When generating campaign proposals, the system utilized this foundational data to propose highly aligned, modular campaign systems rather than generic fitness advertisements, drastically reducing the friction between ideation and strategic alignment39. Furthermore, the firm built deep structural trust with highly regulated enterprise clients by committing to stringent data privacy standards. The platform operates in strict compliance with the General Data Protection Regulation, is actively pursuing ISO 27001 certification, and explicitly prohibits the training of foundational machine learning models on proprietary customer data2.
| Competitor / Platform Category | Target Market | Core Functionality | Strategic Limitations | | :---- | :---- | :---- | :---- | | General Assistants (ChatGPT, Claude) | Individual Professionals | Broad text generation and basic reasoning2. | Weak client separation; lacks compounding team workflows2. | | Content Generators (Jasper, Copy.ai) | Copywriters / Marketers | High-volume marketing copy production2. | Focuses solely on output, ignoring research and strategic briefing2. | | Holding-Company Systems (WPP Open) | Internal Network Agencies | Agentic platforms built on proprietary network data2. | Inaccessible to independent agencies; competitor infrastructure2. | | Multiply Creative OS | Independent & Network Agencies | Multi-agent research, planning, and contextual creation2. | Requires structural workflow adaptation from the client2. |
Global Enterprise Network Deployments
This highly specialized, privacy-first value proposition resulted in massive enterprise adoption across the global agency landscape throughout 2025 and 2026\. The architectural investments made during the foundational phase allowed the platform to scale effortlessly across multinational deployments. In May 2025, leading Nordic agency Nord DDB integrated the platform's agents directly into its creative processes. This implementation supported a methodology termed hybrid creativity, wherein human creative ideation was systematically supplemented and validated by rapid algorithmic analysis3. Concurrently, the global public relations and brand communication firm Manifest Group became a founding partner, deploying custom agents to act as continuous creative sparring partners across their international operations3. The commercial strategy accelerated exponentially in early 2026\. In March, Together Group—a highly prestigious global network comprising fourteen luxury and lifestyle agencies, including Purple and The Future Laboratory—signed on as the firm's first international network client3. The decentralized architectural nature of the software allowed these agencies to scale their technical infrastructure uniformly without homogenizing their distinct cultural identities or strategic voices34. Shortly thereafter, the NoA Group executed one of the largest Nordic deployments of a creative operating system to date. Following a rigorous pilot program at NoA | Åkestam Holst that stringently tested the platform across insights, strategic planning, and new business acquisition, the NoA Group deployed the software across all of its constituent agencies in Sweden, Denmark, Finland, and Norway3. The Chief Executive Officer of NoA | Åkestam Holst noted that the platform successfully achieved its primary objective: giving creative teams the gift of time to focus on high-impact, uniquely human creative work46.
Strategic Deductions on the Software Market Lifecycle
The commercial and architectural evolution of the firm from 2019 to 2026 yields several profound analytical observations regarding the maturation of the enterprise software market. First, the transition demonstrates the absolute necessity of hyper-verticalization in an era of commoditized algorithms. By transitioning from a horizontal collaboration suite into a purpose-built system for creative agencies, the firm actively avoided competing in a race to the bottom against well-capitalized incumbents. A software tool that natively understands the specific operational flow of an advertising pitch—incorporating creative audits, dynamic brand guidelines, and strategic briefings—is exponentially more valuable to an agency executive than a generic chat interface, regardless of the underlying model's raw processing power. Workflow context, deeply embedded into the software architecture, serves as the ultimate commercial moat. Second, the technical migration reveals that infrastructure fundamentally dictates product potential. As applications transition from simple prompt-and-response mechanisms to autonomous, multi-agent workflows executing complex asynchronous tasks, state management becomes the primary engineering bottleneck. Traditional databases force engineering teams to contort dynamic states into rigid schemas, resulting in operational paralysis. By adopting a unified compute-and-storage, event-sourced architecture, the engineering team achieved a technical agility that allowed a small group of developers to build enterprise-grade network features that would typically require a massive, highly siloed engineering organization. Technical architecture is not merely a cost center; it dictates the absolute ceiling of product innovation. Finally, the trajectory of the founding team highlights the immense value of prior entrepreneurial friction. Martin Källström's experience with the rapid rise and subsequent collapse of a highly visible hardware venture was not a liability, but a profound strategic asset. The earlier venture suffered from scaling ahead of its true market utility, driven by media hype rather than sustainable unit economics. The approach taken with this subsequent software venture was the exact antithesis: highly disciplined, business-to-business focused, built in deliberate stealth for over two years, and deeply focused on solving unglamorous mechanical tasks rather than chasing transient consumer trends. The deliberate, under-the-radar foundational phase is a direct reflection of executive leadership that had viscerally learned the fatal costs of premature scaling. By meticulously combining architectural innovation, targeted audio-driven category design, and an uncompromising focus on reclaiming strategic trust for the creative industry, the firm successfully navigated the most turbulent period of the generative technology boom, establishing itself as foundational infrastructure for the future of global advertising.
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43. Multiply \- The world's first Creative Operating System™ | AppRater, https://apprater.net/a/multiply-the-worlds-first-creative-operating-system
44. Lotta Malm Hallqvist joins collab AI platform Multiply.co as Chair \-, https://mediashotz.co.uk/lotta-malm-hallqvist-named-chair-of-collaborative-ai-platform-multiply-co/
45. Lotta Malm Hallqvist on Multiply and the rescue of strategic trust, https://multiply.co/news/lotta-malm-hallqvist-on-the-rescue-of-strategic-trust
46. NoA Group rolls out Multiply across the Nordics after Åkestam Holst, https://multiply.co/news/noa-group-rolls-out-multiply-across-the-nordics
Preserved in the Martin Källström press archive · captured 2026-09-02 ·
original: research
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