Grid Dynamics Global

Grid Dynamics Global AI-first digital engineering services and technology consulting company founded in Silicon Valley in 2006.

We transform Fortune 1000 enterprises through advanced generative, agentic, and physical AI, data platforms, and cloud-native engineering. ▪️4,000 world-class engineers
▪️HQ in Silicon Valley
▪️Offices in 18 countries
▪️The core expertise: Big Data, Data Science, AI & ML, scalable omnichannel services, DevOps, and cloud enablement
▪️In 2020-2021, Grid Dynamics expanded its global footprint by a

cquiring Daxx and Tacit Knowledge.
▪️GridU, an internal training center, allows hundreds of young talented students to gain advanced skills and build a career in the IT industry.

20% to 80% test coverage in six weeks. Team went from six QA engineers to two.Not because AI wrote the tests. Because ag...
09/02/2026

20% to 80% test coverage in six weeks. Team went from six QA engineers to two.

Not because AI wrote the tests. Because agents did the writing and humans kept two calls: what a test should check, and whether it merges.

An agent can make a test pass fast. Whether it checks the right thing is still a human call.

Read the full story here: https://bit.ly/4c2Guhp

Grid Dynamics is advancing its AI strategy under the leadership of Nikita Ivanov, Vice President, Head of AI. Ivanov is ...
08/26/2026

Grid Dynamics is advancing its AI strategy under the leadership of Nikita Ivanov, Vice President, Head of AI. Ivanov is responsible for leading the transition efforts of Grid Dynamics’ clients toward an AI-native software delivery model, and he oversees all elements of Grid Dynamics AI Native (GAIN) platforms.

Ivanov has over two decades of founding and scaling technology companies as an entrepreneur and technologist, adding commercial and operational depth to Grid Dynamics' executive team.

Focused on moving Fortune 1000 clients to AI-native software delivery, Ivanov is advancing Grid Dynamics’ AI-SDLC tools that give enterprises a faster, more reliable path to building and running AI systems.

Read more in our full press release here: https://bit.ly/4xgwN7o

08/25/2026

Turn your storefront into an intelligent shopping companion with agentic commerce. https://bit.ly/46njQNx

Watch how shopping agents understand intent from both text and image queries, instantly matching products to recipes, grocery lists, and other real-world needs while adapting the interface to each request. Using Model Context Protocol (MCP), they connect the chat experience with live storefront actions—adding items to cart, checking order history, and navigating checkout without disrupting the flow.

This demo shows how agentic commerce can guide discovery, power smarter product research, and execute real shopping tasks, all while keeping your site and chat perfectly in sync on top of your existing infrastructure.

Curious about what’s next? Explore these ideas live with Google Cloud and Grid Dynamics at our executive event in Seattle: https://bit.ly/4vbrqo1

📍 Executive Workshop: Agentic Commerce in Action: winning the customer journey across Сonversational Agents and LLM Search

🗓️ September 10 | Google Seattle Offices

Grid Dynamics today announced it has earned MACH Alliance's 2026 Agent Ready Award, becoming one of 35 companies named i...
08/19/2026

Grid Dynamics today announced it has earned MACH Alliance's 2026 Agent Ready Award, becoming one of 35 companies named in the program's inaugural cohort.

Agent Ready is an advanced certification that builds upon MACH Certification, the MACH Alliance's baseline standard for open, composable, and connected technology. The honor recognizes certified members that have moved agentic AI from pilots and demos into production, at scale, with the guardrails enterprise deployment requires. Every award is independently reviewed by MACH Alliance, the vendor-neutral authority on scaling production-ready enterprise AI without vendor lock-in.

Grid Dynamics won the award for its agentic AI capabilities and for programs delivered at a global food and beverage company and a global payments company.

Read our full press release here: https://bit.ly/3SEwe8p

Most agentic AI pilots don't fail because the model is weak. They fail in the gap between a working demo and a system th...
08/19/2026

Most agentic AI pilots don't fail because the model is weak. They fail in the gap between a working demo and a system that meets real customers.

The model answers what. It doesn't decide when to escalate to a human, what data to trust over its own guess, or what to say when it genuinely doesn't know.

In our own survey of 201 shoppers, only 2.49% wanted a witty AI assistant. 44% weren't comfortable letting AI buy things on their own. People want confidence, not personality.

That gap between demo and reality is the most expensive distance in the enterprise right now, and it's closed with unglamorous design work most teams skip because the demo never asks for it.

Full breakdown of the five failure points to design around: https://bit.ly/4f5nMGh

Agentic AI creates value only when it survives contact with how enterprises actually work.That was the center of gravity...
08/14/2026

Agentic AI creates value only when it survives contact with how enterprises actually work.

That was the center of gravity at AI Leadership Conclave 2026, hosted by Grid Dynamics and the ISB Institute of Data Science on August 7. 29 speakers and moderators. 100+ enterprise leaders. A full day of keynotes, panels, and a fireside chat.

Rajeev Sharma, Managing Partner, APAC at Grid Dynamics, opened with the keynote. His point: agentic AI stalls when it's built around the model instead of the people running it. He used ORBAT, the military term for order of battle, to explain why AI only earns its value once it can survive fragmented data, legacy systems, process debt, and governance that's still catching up. He also named the "jagged quality" loop, where one bad output erodes more trust than five good ones can rebuild, and pointed to something less obvious: even with committed leadership and enthusiastic teams, middle management is often where new workflows stall against old ones.

The rest of the day put that thinking to the test.

Rahul Bindlish moderated "From Models to Missions," where data and digital chiefs from Mondelez and ABB debated what actually turns a pilot into a line on the P&L.

Preeti Suryaprakash, Director of Delivery at Grid Dynamics, moderated "Winning the Last Mile," built around the exact operational reality Rajeev raised: process, people, and trust.

Naresh Shah, VP of Technology at Grid Dynamics, joined the closing panel on reimagining enterprise technology with agentic platforms, alongside leaders from Wells Fargo and Mastercard.

KV Sharma, our India Delivery Head, delivered the sponsor talk right after lunch.

In a live poll of the room, 100% had piloted agentic AI. Only 10% had reached CFO-grade production. That gap was the reason this event existed, and the reason the conversation carried into a closing dinner almost every delegate stayed for.

Thank you to Prof. Karthik Balakrishnan, Deputy Dean at ISB, Prof. Sudhir Voleti, Associate Professor, Marketing and Academic Director, ISB Institute of Data Science (IIDS), Madhu Viswanathan- Associate Professor at ISB, Renu Chaturvedi - Head of Outreach & AI Strategy at ISB Institute of Data Science, Hemanth Kumar - Associate Director at ISB Institute of Data Science, Prof. Bhagwan Chowdhry, and the entire ISB team for building a room this sharp.

Curious how Grid Dynamics helps enterprises close that gap? Here's our AI page: https://bit.ly/45TzAqX

20% to 80% test coverage in six weeks. Same team size cut in half, from six QA engineers to two.The shift wasn't "let AI...
08/14/2026

20% to 80% test coverage in six weeks. Same team size cut in half, from six QA engineers to two.

The shift wasn't "let AI write tests." It was three agents splitting the work (plan, generate, repair) plus humans holding exactly two approval points: what a test should check, and whether it's fit to merge.

Everything else ran on autopilot. Those two gates didn't.

Why keep a human there at all? Because an agent can write a test that passes fast. Whether it checks the right behavior is a different question, and that's still a human judgment call.

Full breakdown, including the three starting points teams actually face, here: https://bit.ly/4c2Guhp

Where does your QA time go: new coverage, or fixing what already broke?

08/13/2026

Managing cloud costs across AWS, Azure, and Google Cloud usually means juggling three different dashboards — and still missing the full picture. Grid Dynamics' AI-powered FinOps solution brings it all into one intelligent view, with built-in anomaly detection and automated reporting. https://bit.ly/4l6cX9F

In this demo, see how AI helps you:

✅ Spot top cost drivers and week-over-week spend changes
✅ Get right-sizing and idle-resource recommendations for fast savings, in an e-commerce scenario
✅ Ask natural-language questions and get instant, itemized usage breakdowns
✅ Trigger on-demand reports and proactive alerts — shifting teams from reactive to predictive FinOps

📆 Also, if you're a C‑suite leader based in the Chicago area, you’re invited to an exclusive workshop dedicated to senior level wealth management and alternatives executives.

Attendance is free, save your spot here: 👉 https://bit.ly/4w4i2nw

Modern product catalogs are often messy, incomplete, and hard to maintain—hurting both search and conversion. https://bi...
08/12/2026

Modern product catalogs are often messy, incomplete, and hard to maintain—hurting both search and conversion. https://bit.ly/4b8dBQy

In our latest blog, we show how Grid Dynamics uses AI and Google Cloud to:

- enrich and standardize product data at scale

- generate better titles, descriptions, and metadata

- speed up onboarding for massive catalogs while improving discovery and personalization.

Want to see what’s coming next? Join Google Cloud and Grid Dynamics to explore these ideas live at our executive event in Seattle:

👉 Request your seat: https://bit.ly/4vbrqo1
📍 Executive Workshop: Agentic Commerce in Action: winning the customer journey across Сonversational Agents and LLM Search
🗓️ September 10 | Google Seattle Offices
🎟️ Limited to 40 executives, attendance is free.

A shopper types: "a gift for a 10-year-old who loves science, under $50, delivered by Friday."A legacy keyword search re...
07/31/2026

A shopper types: "a gift for a 10-year-old who loves science, under $50, delivered by Friday."
A legacy keyword search returns zero relevant results. A lost shopper. A missed sale.

Production-grade commerce agents handle this differently — they interpret intent, check inventory, apply pricing rules, and guide checkout as a single workflow. Enterprises already running them are seeing:

📈 27% total revenue uplift

📈 6–9% revenue-per-visit lift

⚡ Days — not months — to deploy
The window to get your first agent live before competitors do is the next 12–18 months.
On September 10 in Seattle, Grid Dynamics and Google Cloud are showing exactly how it's done — live, with real architecture, for a room of 40 senior retail and CPG executives.

👉 Request your seat: https://bit.ly/4vbrqo1
📍 Executive Workshop: Agentic Commerce in Action: winning the customer journey across Сonversational Agents and LLM Search
🗓️ September 10 | Google Seattle Offices
🎟️ Limited to 40 executives, attendance is free.

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6101 Bollinger Canyon Road, Suite 465
San Ramon, CA
94583

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