Innodata

05/18/2026

The Innodata GenAI Summit is happening this week in London 🏙️

On May 21, we’ll bring together AI builders, researchers, executives, and technical leaders for a focused day on the systems, infrastructure, and deployment challenges shaping AI today.

The conversations will span world models, autonomous systems, physical AI, evaluation, safety, infrastructure, and what it takes to bring advanced AI systems into production.

We're looking forward to an incredible day in London with leaders from across the AI ecosystem.

📍 London
📅 May 21, 2026
🔗 Register: https://world.aiacceleratorinstitute.com/location/innodatasummit/register

05/13/2026

LLMs may know cultural facts, but can they apply cultural understanding when context is implied? 🌎

We’re sharing findings from the Innodata Cultural Alignment Benchmark (ICAB), a multimodal evaluation built to assess how well LLMs understand culture beyond surface-level knowledge.

ICAB examines whether models can navigate implicit cultural context across languages, locales, and real-world scenarios, from workplace norms to family dynamics to culturally specific visual prompts.

The results point to a clear gap: models perform better when cultural expectations are explicit, but struggle when they need to infer nuance from context.

Read the blog and explore the interactive results dashboard here: https://innodata.com/cultural-alignment-llms-benchmark-applied-understanding/

Innodata’s ICAB benchmark evaluates how well LLMs understand implicit cultural context across languages, locales, and multimodal tasks.

04/28/2026

Exciting news for Innodata Federal 🇺🇸

We’re thrilled to announce that Innodata Federal has been accepted into the CDAO Tradewinds platform as an awardable entity- meaning we’re now eligible to receive and deliver AI-driven projects directly through this prestigious federal marketplace.

This milestone marks a significant step forward in expanding how we support government agencies with mission-critical AI solutions- faster, more efficiently, and at scale.

Explore what we’re building in federal AI: https://innodata.com/federal/

04/17/2026

AI doesn’t always pick the best answer.
In fact, it often settles for “good enough.”

Why? Because in large systems, the sheer volume of average options can overwhelm truly high-quality ones.

In our latest article, Innodata’s Senior AI Researcher Esther Derman unpacks this hidden problem and explains how new approaches in reinforcement learning are helping rebalance exploration and precision.

Drawing on her research presented at ICLR, she shows how AI systems can move beyond proxy-driven results toward real-world performance.

Read more:

Why AI systems favor average results over the best ones, and how robust reinforcement learning improves real-world performance.

04/14/2026

Innodata is proud to join eMerge Americas as a Diamond Sponsor.

As AI continues to evolve, the conversation is shifting beyond models toward what it takes to build systems that actually perform in real-world environments. Data quality, evaluation, and infrastructure are becoming the defining factors.

Join Us in Miami, FL | April 22-24, 2026
https://emergeamericas.com/

04/14/2026

AI can count aircraft from space.
But understanding them is a very different problem.

In our latest article, Innodata’s Frank Tanner explores what happens when leading multimodal AI models are applied to satellite imagery, and where they fall short. While models perform well at counting objects, they struggle with classification tasks that require real-world context like scale, geometry, and physics.

The takeaway: today’s AI is powerful, but it still lacks something fundamental — a true “world model.”

This gap has real implications for defense, geospatial intelligence, and any application where physical understanding matters.

Read the full blog to see what this means for the future of AI:

AI can count aircraft in satellite imagery, but understanding them requires more. Learn why world models are the next step in geospatial AI.

04/13/2026

A quick look at who you’ll hear from at Innodata's GenAI Summit in London this May:

→ Microsoft
→ Amazon
→ Databricks
→ American Express
→ Huawei

Industry leaders building, deploying, and scaling AI systems today.

May 21 → Register now:

The Future of Trustworthy AI: World Models, Physical AI, Agentic Systems.

04/07/2026

Innodata will be at eMerge Americas in Miami this month 🚀 🌴

Rahul Singhal, President + Chief Revenue Officer, is speaking on the AI + Deep Tech stage about how organizations are building and deploying agentic AI systems, and what that shift means for enterprise technology.

📍 Agentic AI in Action: Architecting Autonomous Systems
🗓 April 24, 2026
🕛 12:00 – 12:45 PM
Register: https://emergeamericas.com/

Join the conversation around where autonomous AI is headed next.

03/27/2026

Most AI events talk about what’s possible.

This one is about what’s actually working.

At the Innodata GenAI Summit, you’ll hear from teams:

→ deploying world models
→ building agentic systems
→ solving safety, evaluation, and infrastructure challenges

Join us in London →

The Future of Trustworthy AI: World Models, Physical AI, Agentic Systems.

03/20/2026

Physical AI depends on more than better models. It depends on better data.

Systems don’t fail because they can’t see. They fail because they can’t interpret context and decide what matters.

A plate isn’t just a plate. It’s dirty, clean, or already put away, and each state requires a different action.

That’s the gap.

Better models alone won’t fix it. Better data will.

We break it down here in our latest article:

Physical AI starts with data, not models. Learn how ontologies and context drive smarter, real-world AI systems.