SlatorPod

Sean Hopwood, Founder and CEO of Day Translations, joins SlatorPod to talk about building a global language solutions integrator (LSI) over the past 20 years, adapting to AI, and why a passion for languages continues to shape the LSI's strategy.
Sean reflects on how his entrepreneurial mindset and fascination with languages led him to launch Day Translations, which has grown from handling small community projects into serving enterprise, legal, medical, and government clients while remaining bootstrapped.
He explains why human expertise remains central as the LSI adopts AI across its workflows, develops its own large language model for enterprise and government procurement, and plans to commercialize these capabilities while continuing to invest in technology.
He discusses the DayInterpreting app, which integrates with Zoom and Microsoft Teams, supports rapid interpreter connections, and is already prepared for AI interpreting when customers require it.
He argues that constant learning, business growth, and technological adaptation are essential for long-term success, while also stressing that translation plays a vital role in preserving cultures and protecting linguistic diversity.
He concludes by outlining plans to expand the interpreting platform, strengthen the LSI's B2B focus, secure additional compliance certifications, and continue combining human expertise with AI-powered language solutions.

Florian and Esther discuss the language industry news of the past couple of weeks, beginning with the newly released 2026 Slator Language AI 50 Under 50, which tracks emerging startups less than 50 months old. 
The duo observe how this year’s cohort reflects a shift from standalone language technologies toward AI solutions built around complete business workflows.
They also highlight seven trends, including the rise of agentic AI, AI-first language solutions integrators, specialist sign language startups, and the growing importance of proprietary customer data as a competitive advantage.
Florian covers a stream of language AI announcements from Google, Apple, and Anthropic as the platforms continue to expand their multilingual capabilities.
Esther recaps recent investment activity, with Rylo's USD 85m funding round for AI solutions serving deaf users, Dell Technologies Capital's USD 50m investment in voice AI startup Bland, and Gridly's USD 1.5m raise to add agentic AI capabilities to its content management platform.
Esther concludes with her M&A corner, where Powerling acquires French language solutions integrator Atlantique Traduction and Sweden-based DigitalTolk expands into Switzerland through its acquisition of legal translation specialist Hieronymus.

Slator's Anna Wyndham joins Florian on the pod to discuss key highlights from the Slator Data-for-AI Market Report, which sizes the global market at USD 9.3bn and examines the ecosystem supplying the data needed to train, adapt, align, evaluate, and deploy AI systems.
Anna explains how the market has evolved far beyond traditional data labeling. While annotation and large-scale training data remain important, she argues that the market’s focus has shifted toward helping organizations deploy AI safely and effectively in real-world settings.
Anna highlights the growing importance of “deployment data”, data used to adapt models for specific domains, align behavior with policies, conduct adversarial testing, and evaluate performance. She notes that these activities increasingly rely on subject-matter experts, creating demand for professionals such as physicians, lawyers, engineers, and financial specialists.
The discussion also explores how frontier AI labs, enterprises, and sovereign AI initiatives are driving demand. Anna shares that buyers increasingly need trusted providers capable of sourcing expert talent, scaling rapidly, and maintaining rigorous governance around data provenance and quality.
For language solutions integrators (LSIs), Anna sees both opportunity and challenge. Existing strengths in multilingual operations and workforce management provide a natural advantage, but success requires new capabilities, including expertise in machine learning workflows and AI evaluation.

Florian and Esther discuss the language industry news of the past few weeks, beginning with a recap of SlatorCon London, which attracted a record 250 attendees. 
They highlight growing interest in language AI, startup innovation, and research, as well as a broader shift in industry sentiment toward viewing LSIs and LTPs as integral parts of the AI economy rather than businesses being disrupted from the outside.
Drawing on Slator’s newly released market report, Florian shares that the total addressable market for language solutions and AI reached USD 30.85bn in 2025, declining 2.7% year on year. Traditional LSIs saw a steeper 5.1% decline, while LTPs grew nearly 20%.
The duo also examine the wider AI landscape, discussing massive funding rounds and IPO plans at Anthropic and OpenAI. Florian argues that these developments create challenges for LTPs seeking defensible market positions, citing OpenAI’s launch of real-time speech translation shortly after DeepL announced an expanded focus on voice translation. 
On company news, Florian and Esther review the bankruptcy of voice AI startup Lovo following legal disputes over voice rights and data usage, as well as the financial difficulties facing transcription specialist VIQ Solutions.
Esther closes with an overview of recent M&A activity, including acquisitions by TransPerfect, RWS, and The Translation People, alongside the formation of Germany’s new IMK Group. She also notes growing consolidation in the voice AI sector and highlights a recent funding round for Japanese AI translation startup Yellow Blue.

Sharath Narayana, CEO and Co-Founder of Sanas, joins SlatorPod to talk about the evolution of real-time speech AI, the rise of accent harmonization, and why voice will become the next major enterprise interface.
Sharath traces his journey from engineer to entrepreneur, including the founding of Observe.AI before launching Sanas alongside Stanford researchers focused on solving low-latency speech processing.
The CEO explains that Sanas initially operated as a speech lab focused on improving human understanding in conversations. The company developed multiple algorithms covering noise cancellation, speech enhancement, accent harmonization, and language translation before discovering that enterprises were most willing to pay for accent-related technology.
Sharath emphasizes that Sanas’ accent technology is not designed to erase identity, but to improve clarity and reduce friction in customer interactions. He says enterprises, especially contact centers, adopted the technology to improve first-call experiences and reduce mistrust between agents and customers.
He also discusses Sanas’ focus on on-device AI infrastructure rather than cloud-only deployments, where running speech AI locally improves latency, protects data sovereignty, and lowers compute costs.
Looking ahead, Sharath says Sanas is preparing broader launches for real-time language translation, universal accent translation, and developer SDKs that will allow third parties to build voice applications on top of the Sanas platform.