Grid Dynamics
Nasdaq-listed engineering firm where AI now drives almost a third of revenue, strongest in retail and commerce
Founded 2006 | San Ramon, CA, USA | 4,800+ employees
agentic-aidata-platform-integrationmlops-llmopspredictive-analytics
What is Grid Dynamics?
Grid Dynamics is a publicly traded (Nasdaq: GDYN) digital engineering firm founded in 2006 and headquartered in San Ramon, California. It reported 4,838 employees in mid-2026, most of them engineers outside the U.S., and said AI work made up 30.7% of second-quarter 2026 revenue. The company's GAIN platforms package agentic patterns for commerce, software delivery, risk and compliance. Retail and consumer brands are its most established vertical.
Grid Dynamics works primarily with clients in Retail & e-commerce, Manufacturing, Financial services, Technology sectors. Its primary differentiator is: Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting.
Grid Dynamics tech stack and services
Google Vertex AIAzure OpenAIAWS BedrockDatabricksSnowflakeKubernetes
| Service area |
|---|
| Agentic AI |
| Data Platform Integration |
| MLOps / LLMOps |
| Predictive Analytics |
Grid Dynamics pricing
Short answer: T&M and dedicated teams; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Grid Dynamics does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Grid Dynamics pros and cons
| Advantages | Things to consider |
|---|---|
| +Public company disclosures give unusual visibility into headcount, AI revenue share and stability | -Built for large accounts, and small pilots are not its usual entry point |
| +Strong search, recommendation and pricing work for large retailers | -Headcount shrank in 2026 as non-billable roles were cut |
| +Engineering-first culture comfortable with complex cloud data platforms | -Less hands-on work inside packaged ERP or CRM suites |
| +Accelerators shorten the start of commerce and compliance agent projects |
Grid Dynamics vs alternatives
How Grid Dynamics compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Grid Dynamics FAQ
What is Grid Dynamics?
Nasdaq-listed engineering firm where AI now drives almost a third of revenue, strongest in retail and commerce
How much does Grid Dynamics charge?
Pricing at Grid Dynamics: T&M and dedicated teams; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Grid Dynamics use?
Grid Dynamics works with Google Vertex AI, Azure OpenAI, AWS Bedrock, Databricks, Snowflake, Kubernetes. Primary industries served include Retail & e-commerce, Manufacturing, Financial services, Technology.
Is Grid Dynamics right for enterprise?
Retailers adding AI to commerce and supply chain systems. 4,800+ team size. Key consideration: Built for large accounts, and small pilots are not its usual entry point.
What are the best Grid Dynamics alternatives?
The best alternatives to Grid Dynamics depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Grid Dynamics with other AI Integration companies
Grid Dynamics vs Tensorway Grid Dynamics vs Provectus Grid Dynamics vs Slalom Grid Dynamics vs Neurons Lab Grid Dynamics vs TTMS Grid Dynamics vs Avanade Grid Dynamics vs deepsense.ai Grid Dynamics vs Addepto Grid Dynamics vs Vstorm Grid Dynamics vs Quantiphi Grid Dynamics vs EPAM Systems Grid Dynamics vs Accenture Grid Dynamics vs Perficient Grid Dynamics vs Azumo Grid Dynamics vs RTS Labs Grid Dynamics vs Thoughtworks Grid Dynamics vs InData Labs Grid Dynamics vs Master of Code Global Grid Dynamics vs Deloitte Grid Dynamics vs IBM Consulting Grid Dynamics vs Globant Grid Dynamics vs N-iX Grid Dynamics vs ScienceSoft Grid Dynamics vs Itransition Grid Dynamics vs Miquido Grid Dynamics vs Markovate Grid Dynamics vs LeewayHertz
Verify all details directly with Grid Dynamics before making a decision.