Feb 12, 2026 | Read time 4 min

Speechmatics and Boost.ai partner to power enterprise Voice AI for Europe's most regulated industries

Two European AI leaders combine forces to deliver responsible, enterprise-grade technology for financial services, healthcare, and public sector.
boost.ai partners with Speechmatics
Speechmatics
SpeechmaticsEditorial Team

Speechmatics and Boost.ai today announced a strategic partnership to accelerate the deployment of enterprise-grade voice AI across Europe’s most highly regulated industries.

The collaboration brings together Speechmatics’ speech recognition technology with Boost.ai’s conversational AI platform, already trusted by leading banks, insurers, healthcare providers, and public sector institutions across the continent.

Voice AI is no longer experimental. In financial services, healthcare, and government, it has become critical infrastructure.

But in a market crowded with noise, speed claims, and surface-level demos, most voice systems still struggle to reach enterprise standards of accuracy and control when deployed at scale. When speech fails to understand accents, dialects, or domain language, the impact is immediate: compliance risk, broken workflows, and customers excluded from essential services. 

This partnership is built for that reality. It focuses on production environments where accuracy, reliability, and control are non-negotiable. First-class CX provides an essential competitive edge in these fiercely competitive markets; brands cannot compromise on quality when it comes to their customers. 

Where regulated AI is already working at scale

Boost.ai has established itself as one of Europe’s strongest forces in regulated conversational AI. Recently named a Leader in the 2025 Gartner Magic Quadrant for Conversational AI Platforms, the company has become the platform of choice for organizations that need automation to perform under sovereign regulatory pressure, not just in controlled demos.

Its momentum is especially visible from its Nordic heritage, where nine out of ten Norwegian banks now rely on Boost.ai, and where 118 municipalities share a common voice AI platform. That success is now expanding across European banking, insurance, healthcare, and public services, driven by a simple requirement: voice AI that holds up in production and delivers the right quality and accuracy across any topic.

Speechmatics was selected after extensive evaluation of how speech technology behaves in real environments.

The decision was driven by language accuracy, real-time performance, and the ability to handle dialects, accents, and complex linguistic conditions that define European voice interactions.

"We needed speech recognition that performs when the stakes are real. Speechmatics brings the accuracy, stability, and language coverage required to operate in regulated industries, including complex markets like the Nordics. It gives us confidence that our customers can trust every voice interaction." - Samantha Rosendorff, VP of Go-to-Market, Boost.ai

Speechmatics’ mission to “Understand Every Voice” aligns directly with Boost.ai’s commitment to “Trust Every Conversation”, because neither is possible without the other. Accurate speech is the foundation of trustworthy automation. And trustworthy automation is what allows enterprises to deploy voice AI with confidence in regulated environments.

Built for Europe’s language complexity

Speechmatics has invested heavily in Nordic and European language modeling, including Swedish, Norwegian, Danish, and Finnish. These languages present challenges that most speech systems struggle with: compound words, dialect diversity, and multilingual code-switching.

For Boost.ai’s customers, this means voice AI that works across banking conversations, healthcare consultations, and public sector services without breaking under real-world language variation. Custom dictionaries, adaptive retraining, and domain-specific modeling ensure terminology is captured accurately every time.

In regulated industries, inclusion is not a branding exercise. If speech systems fail across accents or dialects, they fail operationally. Accuracy becomes a compliance requirement.

Designed for production, not benchmarks

The partnership delivers speech technology optimized for live, high-volume environments:

  • Speaker Focus distinguishes between speakers in noisy contact centers to support accurate audit trails and compliance monitoring

  • ForceEndOfUtterance gives precise control over conversational timing, delivering final transcripts within 250ms to avoid awkward pauses

  • Advanced speaker diarization ensures correct attribution in multi-speaker scenarios

  • Flexible deployment across cloud, on-premises, and on-device environments supports GDPR and data sovereignty requirements

Together, these capabilities allow enterprises to deploy voice AI at scale while maintaining control over sensitive data and regulatory compliance.

Responsible AI as operational design

Both companies build with responsibility at the architectural level. Human-in-the-loop systems, data masking, and transparent automation are embedded into their platforms. The partnership supports Boost.ai’s hybrid AI approach, giving organizations control over when deterministic models are used and when generative AI is appropriate.

This is responsibility implemented in infrastructure, not policy statements.

"Boost.ai has built one of the most trusted platforms for regulated conversational AI in Europe. Our role is to make sure the speech layer is strong enough to support that trust. If voice isn’t accurate, fair, and stable under pressure, nothing built on top of it can be relied on. This partnership is about giving Boost.ai and its customers a speech foundation that holds up in their most critical systems." - Katy Wigdahl, CEO, Speechmatics

Setting the blueprint for European Voice AI

Boost.ai’s success in the Nordics shows what regulated, large-scale voice automation looks like when it is done properly. Combined with Speechmatics’ language accuracy and deployment flexibility, the partnership establishes a blueprint for how voice AI will be rolled out across Europe. 

The partnership will now extend to the US market, bringing the same production-grade approach to American financial services, healthcare, and public sector organizations.

In a world of Voice AI hype, latency races, and short-term gimmicks, Speechmatics and Boost.ai are focused on something harder: building systems enterprises can run for years, under regulation, across languages, without breaking trust. Not as experimentation. As infrastructure.

Latest Articles

Carousel slide image
Use Cases

The court reporter shortage crisis: data, causes, and what legal teams are doing about it

The court reporter shortage is reshaping litigation. Explore data, causes, and how legal teams are using digital reporting and AI transcription to adapt.

Tom Young
Tom YoungDigital Specialist
Carousel slide image
Use Cases

What Word Error Rate Is Acceptable for Legal Transcription?

Word error rate for legal transcription has no single acceptable threshold. But knowing how accuracy, audio quality, and review obligations connect to real legal risk is what separates a reliable transcript from a costly one.

Tom Young
Tom YoungDigital Specialist
[alt: Bilingual medical model featuring terms related to various health conditions and medications in Arabic and English. Key terms include "Chronic kidney disease," "Heart attack," "Diabetes," and "Insulin," among others, displayed in an organized layout.]
Product

Speechmatics achieves a world first in bilingual Voice AI with new Arabic–English model

Sets a new accuracy bar for real-world code-switching: 35% fewer errors than the closest competitor.

Speechmatics
SpeechmaticsEditorial Team
[alt: Illuminated ancient mud-brick structures stand against a dusk sky, showcasing architectural details and textures. Palm trees are in the foreground, adding to the setting's ambiance. Visually captures a historic site in twilight.]
Product

Your voice agent speaks perfect Arabic. That's the problem.

Most voice AI models are trained on formal Arabic, but real conversations across the Middle East mix dialects and English in ways those systems aren’t built to handle.

Yahia Abaza
Yahia AbazaSenior Product Manger
new blog image header
Technical

How Nvidia Dominates the HuggingFace Leaderboards in This Key Metric

A technical deep-dive into Token Duration Transducers (TDT) — the frame-skipping architecture behind Nvidia's Parakeet models. Covers inference mechanics, training with forward-backward algorithm, and how TDT achieves up to 2.82x faster decoding than standard RNN-T.

Oliver Parish
Oliver Parish Machine Learning Engineer
[alt: Healthcare professionals in scrubs and lab coats walk briskly down a hospital corridor. A nurse uses a tablet while others carry patient charts and attend to a gurney. The setting conveys a busy, clinical environment focused on patient care.]
Use Cases

Why AI-native EHR platforms will treat speech as core infrastructure in 2026

As clinical workflows become automated and AI-driven, real-time speech is shifting from a transcription feature to the foundational intelligence layer inside modern EHR systems.

Vamsi Edara
Vamsi EdaraFounder and CEO, Edvak EHR