The MAMA AI
Czech enterprise AI company building conversational AI, speech, machine translation and data-to-text solutions for regulated industries.
Last updated September 27, 2026
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Overview
The MAMA AI is a Czech enterprise artificial intelligence company that develops and deploys AI systems for large organizations, with a focus on conversational AI, speech recognition and synthesis, machine translation, telephony, and AIOps. The company positions itself as a builder of "enterprise-grade AI" that adapts to the data, workflow, and regulatory demands of each industry, and it markets its work across insurance, banking, media, manufacturing, healthcare, and energy. Its public references include Kooperativa Insurance, Česká spořitelna, the Czech Armed Forces, Seznam Media, and FTV Prima, indicating a customer base concentrated among major Czech institutions and media houses. The company's product portfolio is organized around several capability areas. Its conversational AI offering covers the design, building, improvement, and maintenance of text- and voice-based assistants, delivered either on demand or integrated with conversational services such as IBM Watson Assistant, and designed to plug into existing backends or legacy systems. Its speech offering transcribes spoken speech into text in real time and synthesizes natural-sounding audio from text, with custom models for specific enterprise domains, keyword spotting, and prosodic, emotional, and biometric features. A data-to-text capability generates written or spoken reports from structured data sources, customized for a given audience, modality, or platform. The company also offers machine translation built on neural models, with domain adaptation using in-domain industry data, REST API integration, Kubernetes-native scaling, and SaaS or on-premises deployment options. MAMA AI emphasizes the depth of its team's research background. On its About page it describes "world class AI and Cloud experts with 25+ years of experience" and states that its people are IBM Watson and IBM Research alumni who worked at the IBM T.J. Watson Research Center in New York and Prague and who in 2014 co-founded the IBM Watson Group. It also highlights long-running collaborations with industrial partners in banking, automotive, and agriculture, and experience from government projects in healthcare, education, defense, and security. The company presents itself as a multigenerational team that has worked together for roughly three decades. In practical deployments, MAMA AI's technology has been used for insurance claims processing, IT help-desk ticket resolution, virtual military recruiting, synthetic-voice audio versions of published articles, and audio descriptions for television shows. The company frames these as end-to-end processes running in live operation rather than proofs of concept. It is headquartered in the Czech Republic and operates primarily in the Czech and broader European market, and it is described in public data as a Czech AI startup.
History
The MAMA AI is a Czech artificial intelligence company whose public identity is built around the research pedigree of its founding team rather than a long corporate history. According to its own About page, its people are "world class AI and Cloud experts with 25+ years of experience" and are IBM Watson and IBM Research alumni. The company states that for many years its team worked as part of the IBM T.J. Watson Research Center in New York and Prague, and that in 2014 they co-founded the IBM Watson Group. This background in large-scale industrial AI research is presented as the foundation on which the company later built its own enterprise AI business. The company describes itself as a multigenerational team that has worked together for roughly three decades, noting that in the early 1990s some members were already working on statistical speech recognition while others were just beginning their careers. This continuity is used to explain the company's breadth across conversational AI, speech recognition and synthesis, dialog systems, machine translation, and generic deep learning and machine learning. As an independent company, MAMA AI has focused on applying these research capabilities to enterprise problems. Its public case studies show deployments with major Czech institutions: Kooperativa Insurance for insurance claims processing, Česká spořitelna for IT help-desk ticket resolution, the Czech Armed Forces for a virtual military recruiter, Seznam Media for synthetic-voice audio versions of published articles, and FTV Prima for audio descriptions of TV shows. These references indicate that the company has moved its technology into live operational use rather than remaining in research or pilot stages. The company's product line has been organized around a set of reusable capabilities — conversational AI, speech, data-to-text, and machine translation — that can be delivered on demand or integrated with third-party services such as IBM Watson Assistant and IBM Watson Speech to Text and Text to Speech. Its machine translation offering is described as Kubernetes-native and available as SaaS or on-premises, reflecting an enterprise sales model that emphasizes data control and compliance. Public data describes The MAMA AI simply as a "Czech AI startup," and the company continues to market itself as a builder of enterprise-grade AI for regulated industries.
- 2014
Team co-founds the IBM Watson Group
Team members work at IBM T.J. Watson Research Center in New York and Prague
MAMA AI deploys insurance claims processing with Kooperativa Insurance
MAMA AI provides semantic search for IT help-desk ticket resolution at Česká spořitelna
MAMA AI builds a virtual military recruiter for the Czech Armed Forces
MAMA AI develops synthetic voices for Seznam Media article audio versions
MAMA AI supports FTV Prima with captions and audio descriptions
Products and positioning
Enterprise-grade AI tailored to the data, workflow and regulatory demands of regulated industries such as insurance, banking, media, manufacturing, healthcare and energy.
Conversational AI
Designing, building, improving, and maintaining smart text-based or voice-based assistants using a scalable conversational automation platform; on-demand or integrated with services such as IBM Watson Assistant.
Speech
Transcribe spoken speech into text in real time and synthesize natural-sounding audio from text; custom models for enterprise domains, keyword spotting, and prosodic, emotional, and biometric features.
Data to text
Generate attractive written or spoken reports from structured data sources, customized for audience, modality, or platform.
Machine translation
Neural translation models with domain adaptation, REST API integration, Kubernetes-native scaling, and SaaS or on-premises deployment.
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