Domyn

Domyn empowers enterprises with AI they fully own, govern, and trust.

[Domyn @domynai]

📣 AI evolves, as do we.

Meet Domyn – the new name behind the company making AI yours to own, govern, and trust.

As our mission grows, so does our identity, reflecting the focus and commitment we place on building sovereign AI that drives growth, protects intellectual property, and aligns with the responsibilities of mission-critical sectors.

Stay tuned - more information to come!

Read more in our press releases:
🇺🇲 https://t.co/ESw2wkmlWP
🇮🇹 https://t.co/IzejnLUqp3

[Domyn @domynai]

🚀Introducing Domyn-Large. A year in the making, this sovereign AI model was built for enterprise use from the ground up.

🔎So how did we get there? “Domyn-Large: The Journey of a Sovereign AI Model,” our article written in collaboration with @nvidia , breaks it down—from base model selection to reasoning capabilities, training pipeline design, and real-world deployment.

➡️Read the full article for a behind-the-scenes look at what it actually takes to ship a production-grade LLM: https://t.co/HuAq59vwe9

[Domyn @domynai]

🔔 Domyn-Large is now available on @Microsoft Foundry

At Domyn, we’re building large language models for regulated environments—designed to reason over complex data, operate across enterprise systems, and support multilingual use cases across key European languages.

Domyn-Large is a 260B-parameter reasoning model built for domain-specific enterprise tasks that general-purpose LLMs often underserve. It offers on/off reasoning toggles and strong tool use capabilities, while remaining aligned with the EU AI Act.

Available with licensing options for full model ownership, Domyn-Large joins the Domyn Agentic AI Framework (also available in the Azure Marketplace), enabling teams to build and run intelligent agents tailored to their operational context.

➡️ Explore Domyn-Large on Microsoft Foundry: https://t.co/aeq0WunHmD
➡️ Read the full press release: https://t.co/PTTVaAFBdn

[Domyn @domynai]

🗓️ This April, our CEO and Founder @uljansharka will join global leaders at SEMAFOR World Economy — the leading modern platform for global CEOs and executives — to sit down with Semafor editors for a conversation on the most critical issues facing the new world economy.

➡️ We hope to see you there: https://t.co/CVQNLEm230

[Domyn @domynai]

📊 LLMs are increasingly used to extract structured knowledge from complex financial documents, but how can trust what they produce?

🔎 In their latest research, Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, and Stefano Pasquali introduce FinReflectKG – EvalBench, the first systematic evaluation framework for financial Knowledge Graph extraction from real-world SEC 10-K filings. By benchmarking multiple extraction strategies across dimensions like faithfulness, precision, and relevance, the team uncover critical trade-offs that single metrics miss.

If you’re working on financial AI, compliance, or knowledge extraction, this work offers a foundation for more transparent and reliable evaluation.

➡️ Read the full blog to learn more: https://t.co/VsofSScOmD

[Domyn @domynai]

The conversation around future-proofing success with AI is gaining momentum. Our CEO and Founder @uljansharka was interviewed by @Founders_Forum as part of a survey of 200+ top leaders on AI readiness for leadership success.

Featured in an exclusive report, the findings confirm one of our core beliefs at Domyn: the future of successful AI adoption won’t be driven by performance alone, but also by solutions that are reliable, trustworthy, and responsible in real-world deployment.

Get the full framework and discover how to become AI-ready for long-term success: https://t.co/qbwTvp6Frk

[Domyn @domynai]

LLMs are gaining momentum in the finance sector, powering everything from investment research to credit risk analysis. Many expect an “off-the-shelf” model to be neutral enough to deliver unbiased output. Yet evidence suggests that this assumption is far from accurate.

In a research paper co-authored by Fabrizio Dimino, Bhaskarjit Sarmah, Krati Saxena, and Stefano Pasquali, we demonstrated that examined representation bias in Qwen LLMs—showing how biases introduced as early as the pre-training stage can distort outputs and ultimately influence financial decisions.

Explore the dynamics of these biases in the paper, and discover why finance companies must rely on domain-specific, finance-tuned LLMs to ensure reliability, mitigate structural skews, and safeguard decision-making quality.

➡️ https://t.co/Ka9AiR54vh

[Domyn @domynai]

🌍 Incredible momentum for Africa’s AI community! The AI Hub for Sustainable Development has unveiled the first cohorts of innovators who will help shape the continent’s AI future.

🔎 This connected ecosystem links long-term AI infrastructure development with immediate access to compute resources and training for startups, researchers, and public institutions across Africa.

➡️ As one of their technology partners, we’re proud to help drive this initiative forward by equipping innovators with the tools they need to create long-term impact.

[UNDP Digital, AI and Innovation Hub @UNDPDigital]

🚀The AI Hub for Sustainable Development unveils the inaugural cohorts of its flagship programmes: 10 Infrastructure Builders & 120 Compute Accelerator innovators!

Learn more:
https://t.co/o9jYMpuaw8

#AIHub4SD #AIforAfrica @UNDP @mimit_gov

[Domyn @domynai]

🚀A huge thank you to everyone at AI Dev 25 for hosting such an energizing and insightful event. It was a pleasure to be part of it!

[DeepLearning.AI @DeepLearningAI]

A look back at AI Dev 25: Stefano Pasqualli from @DomynAI joined us to dig into what it really takes to build trustworthy AI in finance. Transparent, auditable systems were front and center, and so was the great conversation in the room.

[DeepLearning.AI @DeepLearningAI]

Stefano Pasquali, @DomynAI's Head of Financial Services, at AI Dev 25 x NYC:

"Domyn believes in building transparent, auditable and sovereign AI ecosystems, where innovation meets accountability."

[Domyn @domynai]

📊 In financial AI, complex questions rarely have simple answers. They require connecting data points across years, companies, and filings — a process known as multi-hop reasoning. Yet most LLMs struggle with this because evidence is often scattered across unstructured text.

That’s why our researchers Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, and Stefano Pasquali developed FinReflectKG–MultiHop, a new benchmark that uses structured, knowledge-graph evidence to enable more efficient and interpretable reasoning and deliver better, more accurate answers.

For AI-powered financial analysis, this new development is a crucial step forward, pushing beyond surface-level reading to connect the dots across time, risk, and performance — ultimately helping systems reason more like analysts.

➡️ Read the full paper to learn more: https://t.co/UQtmwb12hM

[Domyn @domynai]

Ever wondered what goes on behind the scenes when models “learn to learn”?

➡️ The ICL Visualizer take you there, with a backstage look at how Large Language Models learn from context in real time.

Unveiled by our AI engineer Reetu Raj Harsh at the @VISxAI conference, this interactive platform shows models detecting patterns, processing examples, and making predictions before your eyes.

🔎 Step backstage and watch AI in action: https://t.co/Bz6XXDYCYz

[Domyn @domynai]

Financial decision-making is not a guessing game — yet most financial analysis tools stop at spotting correlations without explaining why things happen, leaving professionals in the dark about the causes behind the numbers and offering little insights to make fully informed decisions.

All that’s about to change. Our research team — Bhaskarjit Sarmah, Stefano Pasquali, Abhinav Arun, Alejandro Zuñiga — is advancing reliable AI-powered financial analysis with FinCARE: a hybrid framework that combines causal discovery algorithms, financial Knowledge Graphs from SEC filings, and the reasoning power of LLMs.

The result? Not just smarter insights, but real predictive power—AI that doesn’t just crunch numbers, but reveals the causes behind them. In short, an approach that gives financial institutions full awareness and confidence to make decisions with clarity and foresight.

Discover more: https://t.co/AuMebj6xTT

[Domyn @domynai]

Our CEO and Founder @uljansharka will participate in two panel discussions during #FII9 by @FIIKSA in Riyadh.

Come join him in the following sessions:

1. Can AI Make Markets Perfectly Efficient?
📍 Pavilion 2 – LAB 4
🗓 October 28th | ⏰ PM – PM

2. App-Layer Futures: Generalization or Specialization — Which Path Dominates?
📍 Pavilion 2 – LAB 4
🗓 October 30th | ⏰ AM – AM

From discussing trustworthy domain-specific LLMs for regulated industries to shedding light on how leveraging AI can enhance asset value in real time, we look forward to connecting and exchanging ideas with peers and innovators alike!

[Domyn @domynai]

Our partnership with @Allianz is expanding. Five years ago, we set out to make conversational AI available to enterprises. Today, after successfully completing our AI pilot, that vision is scaling.

What’s coming up next for this collaboration? Find out in our news article: https://t.co/qIGdZPfAAU

[Domyn @domynai]

🔔 Our SVP and Head of Financial Services Solutions, Stefano Pasquali, will be speaking at #NeurIPS2025.

🗓️ When: Saturday, December 6th
📍 Where: San Diego Convention Center

Bringing together experts from AI, finance, and regulation, the #NeurIPS2025 workshop will explore how to adapt generative AI to the unique demands of the finance and risk management industries, enabling the responsible development of solutions for real-world scenarios.

Learn more about the event: https://t.co/XOWrc4D2D9