Are AI models, like LLMs, truly understanding human language? 🧠  It’s not just about training data — AI needs linguistic expertise to grasp tone, intent, and cultural context. Dive into how linguistics and human expertise are shaping smarter, more intuitive AI models in our

Innodata's CRO, Rahul Singhal, cohosted a private dinner with Supermomos to meet with leading tech founders and AI innovators. At Innodata, we love connecting with visionaries who are shaping the future of AI. 🚀

Innodata is honored to have played a key role in contributing to the MLCommons AILuminate v1.0 AI Safety Benchmark—an AI risk assessment benchmark created with contributions from leading AI companies, academia, and civil society. This partnership resonates deeply with

This week, Innodata gathered in Athens, Greece, to kick off an ambitious and exciting 2025! 2024 was a milestone year—a testament to our growth, innovation, and culture. As we reflected on a year filled with significant achievements, we also charted a course for an even more

Forrester has recognized Innodata in a report on synthetic data and its use for initiatives like AI model training. 🧠 With synthetic data transforming AI development through enhancing model training, improving data privacy, and overcoming data scarcity, our expertise in data

How much do today’s LLMs really know? 💡 During yesterday’s earnings call, Innodata's CEO Jack Abuhoff highlighted if the realm of all useful data were the size of a football, today’s best-performing LLMs have only been trained on a dataset the size of a dime. The analogy

LLMs are powerful—but without proper evaluation, they can become a major risk. From bias and misinformation to security vulnerabilities, unchecked AI can lead to reputational, legal, and operational consequences. That’s why LLM supervision isn’t optional—it’s essential. In our

Innodata has announced its participation at NVIDIA AI GTC 2025, the premier global AI conference taking place March 17–21, 2025, in San Jose, California. 🚀 At the event, Innodata will debut its GenAI Test + Evaluation Platform, an enterprise-grade solution designed to help

Traditional security measures aren’t enough to protect your enterprise’s AI from evolving threats. AI Red Teaming helps to uncover vulnerabilities before they can be exploited, ensuring secure and compliant AI systems. Is your AI prepared? Learn how AI Red Teaming can help

Innodata is proud to announce the beta launch of our Generative AI Test and Evaluation Platform, built with NVIDIA technology. 🚀 🧠 Designed to enhance the safety, reliability, and performance of enterprise AI models, the platform integrates high-performance NVIDIA NIM™

Live from NVIDIA AI GTC 2025! We’re at the Generative AI Pavilion, showcasing how Innodata powers trustworthy, next-gen AI with cutting-edge solutions. Stop by to see our Generative AI Test + Evaluation Platform in action—helping AI teams to fine-tune models, reduce

Mark your calendars for our upcoming EDM Council webinar "Deploying Generative AI Safely & Responsibly" on March 26! 🧠 🗓️ As enterprises adopt Generative AI, one question takes center stage: How do we deploy it safely, responsibly, and at scale? 💡 Join us for an expert-led

🚨 Our webinar with EDM Council starts shortly! Deploying GenAI Applications Safely and Responsibly 📅 Today at 12:30 PM EST 🔗 Join here: edmcouncil.org/webinar/deploy… Don’t miss expert insights on how to build secure, trustworthy Generative AI.

Multimodal AI can define how enterprises find insights and make smarter decisions—integrating text, images, audio, and video into a single, intelligent workflow. Discover 10 best practices to effectively deploy multimodal AI and unlock deeper, real-time insights across your

Innodata has been recognized as one of the 30 technology companies defining the future of artificial intelligence (AI) in a new industry note from Wedbush. The industry note, titled “The AI Revolution Theme; 30 Names to Play in the 4th Industrial Revolution,” identifies tech

AI Agents vs. Agentic AI: What's the Difference? 🔍 Not all autonomous AI is created equal. While AI agents can draft emails or schedule meetings, Agentic AI can plan, collaborate, and adapt to complex goals with minimal human input. If you're building enterprise AI systems,

Most companies don’t know if their data is ready for AI. And it’s costing them—on average—$12.9 million a year. In our latest article, we break down how to assess data quality before feeding it into AI/ML systems—covering the key KPIs, common roadblocks, and what good data looks