MeetKai and GSMA Present ModelChorus at MWC26 Barcelona

MeetKai and GSMA launched ModelChorus, an online platform showcased at MWC26 Barcelona to evaluate and deploy language models for under-resourced languages and regional dialects.

Rhea-AI Summary

MeetKai and GSMA launched ModelChorus, an online platform showcased at MWC26 Barcelona to evaluate and deploy language models for under-resourced languages and regional dialects.

ModelChorus offers side-by-side testing, real-time leaderboards, sovereign sandboxes, hardware-aware metrics, and support for fine-tuning using preference feedback. VEON (Nasdaq: VEON) is the first mobile operator to join.

Positive

• VEON joins as first operator, bringing real network and device requirements
• ModelChorus supports low-resource languages and regional dialect benchmark creation
• Hardware-aware evaluation measures latency, memory footprint, and efficiency for mobile/edge

Negative

• No commercial terms, timelines, or revenue impact disclosed for ModelChorus participation

Argus Mar 4 session

+3.15% close to close Open Argus

Details

News Market Reaction – VEON

On Mar 4, the day this news came out, VEON closed 3.15% above the previous close.

Data tracked by StockTitan Argus for the Mar 4 session.

Historical Context

5 past events · Latest: Feb 26

5 events

1. Feb 26

   Earnings date notice

   24h Move

   -1.7%

   Announcement of Q4 and FY25 results release and investor call schedule.

2. Feb 17

   Strategic partnership

   24h Move

   +0.1%

   MoU with Hala to explore ride‑hailing cooperation in VEON markets.

3. Feb 10

   Acquisition

   24h Move

   +0.9%

   Completion of Tabletki.ua purchase expanding Kyivstar’s digital healthcare services.

4. Feb 8

   Investment initiative

   24h Move

   +1.9%

   Launch of “Invest in Pakistan, NOW!” with focus on investors and partnerships.

5. Feb 3

   Secondary offering

   24h Move

   -0.6%

   Kyivstar secondary share offering increasing free float and reducing VEON stake.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

ai models, language models, speech to text, latency, +1 more

5 terms

ai models technical

"platform enables users to prompt and evaluate AI Models for under-resourced"

AI models are computer programs that learn patterns from large amounts of data to make predictions, sort information, or carry out tasks without explicit step-by-step instructions. For investors, they matter because these models can boost productivity, improve forecasting, automate decisions and cut costs — like hiring a highly skilled analyst who works nonstop — but they also introduce risks such as errors, hidden biases and regulatory or competitive impacts.

language models technical

"ecosystem partners evaluate language models and accelerate deployment of language"

A language model is a computer program that learns patterns in written or spoken language and uses them to generate, summarize or interpret text, like a very fast, knowledgeable assistant that predicts what words come next. For investors it matters because these models can automate research, customer service, and trading signals, reduce costs, or introduce new risks such as errors, bias, or regulatory scrutiny—similar to hiring a highly efficient but imperfect employee.

speech to text technical

"real world conditions such as speech to text noise, code switching, and"

Speech to text is a technology that converts spoken words into written text, like a digital court reporter or live captions that capture conversations, presentations and calls. Investors care because it turns earnings calls, management discussions and news briefings into searchable, time-stamped records that speed analysis, improve compliance and help spot trends or risks more quickly than listening to audio alone.

latency technical

"evaluation, measuring not only accuracy but also latency, memory footprint, and"

Latency is the time delay between when information or an instruction is created and when it is received, processed, or acted on by a market system or data feed. For investors, that delay can alter the price you receive, cause missed trading opportunities, or increase execution risk — like sending a text to buy an item and the seller acting a few seconds later after the price has changed.

memory footprint technical

"only accuracy but also latency, memory footprint, and efficiency metrics relevant"

The memory footprint is the amount of a device’s or application's short-term working memory it needs to run, typically measured as how much random-access memory (RAM) it consumes while active. For investors, a smaller footprint often means lower hardware costs, better performance on cheaper devices, and easier scaling—like a compact tool that fits on a small workbench rather than needing a whole room, which can affect product competitiveness and margins.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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New global platform enables users to prompt and evaluate AI Models for under-resourced languages and regional dialects

BARCELONA, Spain, March 4, 2026 /PRNewswire/ -- MeetKai Inc. and the GSMA today announced their collaboration to launch ModelChorus, a new online platform designed to help mobile operators, model developers, and ecosystem partners evaluate language models and accelerate deployment of language ready AI across real world networks and devices. Visitors to MWC26 Barcelona can experience ModelChorus at the GSMA Pavilion in Hall 4 (Stand 4F30) at Fira Barcelona Gran Via or visit an alpha version of ModelChorus at www.modelchorus.com.

ModelChorus is intended to provide side by side model testing, real time leaderboards, and private "sovereign sandboxes" that enable operators to assess model performance against their specific language, regulations, and market requirements. The platform will also support the creation of high-quality benchmark test sets for low resource languages and regional dialects, including real world conditions such as speech to text noise, code switching, and cultural nuance.

A core focus of ModelChorus is hardware aware evaluation, measuring not only accuracy but also latency, memory footprint, and efficiency metrics relevant to mobile, edge, and operator environments. ModelChorus will also support post training and fine-tuning workflows that turn preference feedback and error logs into training signals, helping participants align models to target markets and operational constraints.

VEON Group (Nasdaq: VEON), a global digital operator ("VEON"), will be the first mobile operator to join ModelChorus, bringing real operator requirements and market conditions into the platform from day one.

"ModelChorus is about making language AI measurable, comparable, and deployable in the environments that matter, on real operator networks and real devices," said James Kaplan, CEO & Co-Founder of MeetKai. "We are building a practical standard for how the world assesses language model readiness, especially for underserved languages and dialects."

"Operators are looking for trusted, repeatable ways to evaluate AI performance in the languages and conditions their customers actually use," said Louis Powell, GSMA Director of AI Technologies. "ModelChorus will help the industry move from claims to evidence, bringing operators together with model developers to strengthen linguistic coverage, improve performance on device and at the edge, and accelerate responsible adoption across markets."

"AI adoption at operator scale requires transparent, repeatable execution, not demos," said Kaan Terzioglu, CEO of VEON. "By joining ModelChorus first, we are helping set a practical benchmark for what model readiness looks like across real networks, real devices, and the languages our customers use every day."

About MeetKai
Founded in Los Angeles in 2018, MeetKai is a Sovereign AI company specializing in post training optimization, local language reasoning models, and national AI platforms. Its flagship MKA1 Platform enables governments, enterprises, and consumers to build and operate fully sovereign AI ecosystems with data control, localization, and long term value creation. Learn more at www.meetkai.com.

About GSMA
The GSMA is a global organisation unifying the mobile ecosystem to discover, develop and deliver innovation foundational to positive business environments and societal change. Our vision is to unlock the full power of connectivity so that people, industry, and society thrive. Representing mobile operators and organisations across the mobile ecosystem and adjacent industries, the GSMA delivers for its members across three broad pillars: Connectivity for Good, Industry Services and Solutions, and Outreach. This activity includes advancing policy, tackling today's biggest societal challenges, underpinning the technology and interoperability that make mobile work, and providing the world's largest platform to convene the mobile ecosystem at the MWC and M360 series of events.We invite you to find out more at www.gsma.com 

About VEON
VEON is a digital operator that provides connectivity and digital services to nearly 150 million connectivity and over 140 million digital users. Operating across five countries that are home to more than 6% of the world's population, VEON is transforming lives through technology-driven services that empower individuals and drive economic growth. VEON is listed on NASDAQ. For more information, visit: https://www.veon.com.

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SOURCE MeetKai

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is ModelChorus and who launched it at MWC26 Barcelona?

ModelChorus is an online platform for evaluating language models across real networks and devices. According to MeetKai and GSMA, it offers side-by-side testing, leaderboards, sovereign sandboxes, and hardware-aware metrics to improve low-resource language support.

How does ModelChorus address under-resourced languages and dialects for VEON (VEON)?

ModelChorus creates high-quality benchmark test sets and supports code-switching and noisy speech scenarios. According to MeetKai, the platform enables operators like VEON to assess model performance against local languages, dialects, and cultural nuance under real conditions.

What hardware and deployment metrics does ModelChorus measure for mobile operators?

ModelChorus measures accuracy plus latency, memory footprint, and efficiency relevant to mobile and edge environments. According to MeetKai, hardware-aware evaluation helps operators judge real-world readiness for deployment on networks and devices.

Can developers use ModelChorus to fine-tune language models for operator requirements?

Yes. ModelChorus supports post-training and fine-tuning workflows that convert preference feedback and error logs into training signals. According to MeetKai, this helps align models to target markets and operational constraints.

Where can investors and attendees try ModelChorus during MWC26 Barcelona?

Attendees can experience ModelChorus at the GSMA Pavilion, Hall 4 Stand 4F30 at Fira Barcelona Gran Via or visit the alpha at www.modelchorus.com. According to GSMA, an alpha version is available for early testing and evaluation.