Robert: Enabling Client-Facing AI Translation Platforms for LSCs

Robert is an AI-driven translation platform designed to move beyond the traditional boundaries of CAT tools towards client-facing, scalable revenue generation

The EUATC is expanding its network of technology partners supporting language service companies (LSCs) to adapt to new, AI-enabled service models with a technology partnership with Robert, a CAT tool reimagined for the AI era.

As the language services industry continues to evolve, LSCs are increasingly exploring how technology can support not only internal productivity, but also new ways of engaging with clients. The shift is moving beyond efficiency gains within production workflows towards rethinking how translation services are delivered, packaged and experienced. In this context, platforms that enable closer client interaction while maintaining professional oversight are gaining traction.

Moving beyond traditional CAT tools to platform-based service delivery

Robert positions itself within this emerging space as an AI-driven translation platform designed to move beyond the traditional boundaries of CAT tools. Rather than focusing solely on linguist-facing environments, the platform enables LSCs to offer translation as a client-facing, branded service. Through a fully customisable, white-label portal, companies can provide their clients with direct access to fast and secure AI-powered translation, embedded within the LSC’s own identity and service offering.

This approach reflects a broader shift towards platform-based service delivery in the language services sector. By integrating translation capabilities directly into client workflows, LSCs can become more deeply embedded in their clients’ operations, moving from transactional project-based work towards ongoing service relationships. The ability to offer a dedicated, branded environment for translation requests and content management can support stronger client engagement and more consistent collaboration.

Empowering clients while retaining professional control

At the same time, Robert is designed to ensure that LSCs can retain control over quality and service delivery. While clients can initiate and manage translation tasks through the platform, professional oversight remains central. Human review and sign-off processes can be integrated into workflows, allowing LSCs to apply the appropriate level of linguistic expertise depending on the use case, content type and client requirements. This aligns with the growing need for flexible production models that combine AI efficiency with human quality assurance.

A key element of the platform is the ability for LSCs to tailor translation solutions to different client needs. Rather than applying a single approach to all content, Robert enables companies to configure workflows that match specific use cases, selecting the most appropriate machine translation or AI solution and defining how and when human intervention is required. This supports a more consultative role for LSCs, where they guide clients in choosing the right balance between speed, cost and quality.

From project work to scalable, recurring revenue models

From a commercial perspective, this model opens up new opportunities for LSCs to develop more stable and predictable revenue streams. By offering translation as an ongoing, embedded service rather than a series of discrete projects, companies can reduce reliance on one-off assignments and build longer-term client relationships. The platform structure supports subscription-based or usage-based models, aligning with broader trends in digital service delivery.

In operational terms, Robert is designed to integrate into existing workflows and technology environments, enabling LSCs to connect client-facing activities with internal production processes. This creates a flow of information between clients, project managers and linguists, while maintaining visibility and control at each stage. For LSCs managing multiple clients and diverse service requirements, this type of integration can support greater efficiency and coordination.

The platform also addresses key considerations around data security and control, which remain central to the adoption of AI-driven solutions in professional language services. By operating within a branded, managed environment, LSCs can define how data is handled and ensure that client content is processed in line with contractual and regulatory requirements.

Opening new doors to EUATC network members

Through our partnership with Robert, we aim  to support our member associations and their member companies in exploring new service delivery models enabled by AI and platform technologies. Technology partnerships provide a channel for understanding how innovation can be applied in practice, helping LSCs keep up to date with the latest innovations and make informed decisions to improve their businesses.

For Robert, engagement with the EUATC network offers access to a diverse European market of language service providers, each with different client bases, specialisations and levels of technological maturity. This creates opportunities to further refine the platform in response to real-world use cases and evolving industry needs.

The partnership highlights a broader transformation within the language services industry, where the focus is expanding from production efficiency to service design and client experience. For LSCs, platforms such as Robert illustrate how AI can be leveraged to optimise workflows andt also to reshape how services are monetised in an increasingly digital environment.

As EUATC continues to expand its technology partner network, collaborations such as this are intended to support the sector in developing sustainable, forward-looking approaches to AI adoption combining technological innovation with the professional expertise that remains at the core of language services.

Meet Robert’s founder Fola Yahaya at the VViN Global Language Services Conference in the Netherlands on 28-29 May 2026!

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