Collective Flow
of Product Data
We are building a collective AI-native network
that transforms product data flow making information accessible, products discoverable, easily configurable and comparable.
By enabling collective, seamless, multidirectional data exchange consumers gain transparency and comparability, allowing them to make informed, conscious choices, while businesses gain wide access to new opportunities and capitalise on evolving market trends.
DataInFlow promotes empowers conscious choices, democratise market opportunities, foster diversity and sustainable organic growth and promotes fair digital economy, based on collaboration and responsible market participation.
DataInFlow creates
Collective Flow of Product Data
by building intelligent agentic network that:
retrieves product data from various touch points in the market
harmonises & maps data to dynamic collective ontology with AI harmonizer ONAIA
facilities easy product search, configuration & order with AI conversational agent LUXIA
organically grows the collective data ontology using LLM
distribute live data in the right context using AI Integrator and collective ontology
stimulate market feedback loops to inform and facilitate interoperability
We are developing a dynamic AI-native product data network that replaces traditional manual, centralised data collection with seamless, system-to-system data flow. At the core of this agentic network is an collective ontology that extracts and refines data meaning, enabling the network to recognise, classify and match products described differently across various sources and making them easily discoverable and comparable for anyone. The organically growing ontology translates data seamlessly across various business functions - design, production, sales, and marketing - ensuring consistency and interoperability without manual adjustments. This enhances internal efficiency, simplifies external exchanges, and improves overall data quality.
ONAIA for Manufacturers
LUXIA for Retailers
This dynamic approach fosters more inclusive and competitive digital market, allowing SMEs to compete effectively and reach wider audiences, a the same time keeping pace of evolving consumer needs and market trends.
Populating POPO's new ERP System
with Configurable Product Data
POPO is a German furniture company specialising in high-quality, contemporary design pieces for interior spaces. It offers a curated selection of furniture from international designers, aiming to create stylish, functional living environments.
We collaborate with POPO's suppliers to create uninterrupted product data flow that enables easy product configuration and data sync with their new ERP system, Odoo. This process eliminates retailers' need for populating their internal systems with product data and encourages suppliers to set up processes for recurring updates across all systems and external partners. Establishing a seamless flow of configurable product data to the ERP allows for improved data management and simplifies the ordering process.
Our goal is to build a robust digital data network with POPO’s suppliers, ensuring a continuous stream of reliable high-quality product data with minimal effort required for ongoing maintenance.
DataInFlow story has started years back with a struggle in obtaining reliable product data for a new building appliances webshop. That challenge has exposed major inefficiencies in data distribution between retailers and manufacturers, highlighting the need for a collective solution.
Retailers lack reliable cross-brand product search. They struggle with data accessibility, product configuration and manual order placement.
They deal with fragmented, inconsistent product data from multiple sources, requiring time-consuming manual efforts to process and standardise product information. Juggling between hundreds of data sources they face order errors, delays, returns or limit the number of suppliers and products.
Manufacturers struggle with complex, fragmented data, and incompatible systems. With thousands of possible product configurations, data exchange hurdles force them to limit assortment, share data in chunks or invest in complex resource-intensive configurators and portals.
Without a high-quality, real-time data flow, retailers limit their assortments, and manufacturers struggle to gain visibility, stifling overall market growth. A truly functional digital market requires seamless data exchange to unlock new opportunities and drive sustainable growth for all participants.
Tom
"With a deep belief in Datainflow’s transformative potential, I am genuinely excited to bring our shared vision to life. I am passionate not only about the concept we’re building but also about the journey of making it a reality—a network that truly empowers and benefits every actor involved." With a background in growth strategy, intuitive leadership, and business development, I have spent years exploring how organizations can operate at their highest potential. My experience with Xeris deepened my understanding of the challenges in the furniture industry’s data flow, and now, with Datainflow, I am committed to transforming these challenges into opportunities. I am driven by the vision of an open, collective network where product data flows seamlessly, enabling a new level of efficiency, transparency, and innovation.
Magda
"I believe in conscious entrepreneurship that follows the creative energy bringing new ideas to life. Growing DataInFlow network contributes to building society based on conscious energy exchange." Magda is an intuitive entrepreneur with 2 decades of experience in art and entertainment projects, sales and lately IT product development. For years she was part of Xeris team working with data distribution challenge in furniture industry. Her intuitive insights, curious yet analytical mind and networking talent made her take on Product Owner responsibilities and change the market approach. Now she's ready to take upon much bigger journey and create a solution that reflects her conscious and collaborative values.
Mats
"I believe that the best systems begin with empathy - designed not just to function, but to fit how people think, learn, and work. At DataInFlow, I’m excited to help shape tools that bring structure to ambiguity, and connection to complexity." Mats is a product architect and innovation designer with over a decade of experience working at the intersection of emerging technology, user behaviour, and systemic clarity. His background spans AI integration in healthcare, rapid software prototyping, and the design of cognitively attuned interfaces that translate complexity into clarity. He is the creator of Directively Attuned Gestalts (DAGs), an AI framework designed to adapt dynamically to user context and intent. His recent work has focused on AI-powered learning platforms and large-scale digital transformation projects - particularly in health and education, using data-driven methodologies and PRINCE2 project leadership. At DataInFlow, he focuses on building clean conceptual foundations - ensuring that what’s designed early can scale smoothly, support real-world use, and stay aligned with human needs.