Grid Dynamics vs Persistent Systems: full comparison for 2026
Quick verdict
Grid Dynamics (4.2/5) edges ahead of Persistent Systems (4.0/5) overall. Grid Dynamics is the better choice for retailers adding agentic commerce features. Persistent Systems is the stronger option for cost-conscious enterprises with offshore teams. The right choice depends on your project size, budget, and required tech stack.
Grid Dynamics vs Persistent Systems: head-to-head summary
| Criterion | Grid Dynamics | Persistent Systems |
|---|---|---|
| Founded | 2006 | 1990 |
| HQ | San Ramon, CA, USA | Pune, India |
| Team size | 4,000+ | 28,600+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Packaged agentic platforms (GAIN) sitting on top of custom engineering | Offshore engineering scale with its own gen-AI delivery platform |
| Pricing model | Time & materials and dedicated teams; rates on request | Time & materials and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Databricks, Snowflake, BigQuery | Salesforce, Azure OpenAI, AWS Bedrock |
| Industries served | Retail & e-commerce, Financial services, Manufacturing, Media | Healthcare, Financial services, Telecom, Manufacturing |
Grid Dynamics vs Persistent Systems: overview
Grid Dynamics
Grid Dynamics is a digital engineering firm founded in 2006 and based in San Ramon, California, with more than 4,000 engineers. AI accounted for 29.3% of its revenue in Q1 2026, according to its SEC filing. The platforms are new: this year it rolled out its GAIN agentic platforms for commerce, risk and compliance, and software delivery, built with Anthropic and OpenAI integrations, and it aims to certify 90% of its engineers on them by the end of October 2026. Its roots are in retail and e-commerce engineering, which is where you'll find most of its case work.
Persistent Systems
Persistent Systems is a Pune-based software engineering company founded in 1990, with 28,640 employees as of June 2026, most of them in India. It built SASVA, an in-house generative AI platform for software delivery, and has filed 35 patents around it (per company annual report). Its staff hold more than 1,000 Salesforce AI Associate credentials, and it partners with Microsoft, AWS, and Google Cloud. Revenue grew for its 25th straight quarter in Q1 FY27.
Services and capabilities: Grid Dynamics vs Persistent Systems
| Capability | Grid Dynamics | Persistent Systems |
|---|---|---|
| CRM / ERP integration | ✗ | ✓ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✗ |
| Agentic workflows | ✓ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
Tech stack comparison: Grid Dynamics vs Persistent Systems
| Framework / platform | Grid Dynamics | Persistent Systems |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Grid Dynamics vs Persistent Systems
| Criterion | Grid Dynamics | Persistent Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Grid Dynamics vs Persistent Systems
| Dimension | Grid Dynamics | Persistent Systems |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Retail & e-commerce, Financial services, Manufacturing | Healthcare, Financial services, Telecom |
| Best use cases | Agentic product search and merchandising for retailers, Compliance-review agents for financial firms | Offshore Salesforce AI implementation teams, Healthcare data integrations ahead of AI features |
| Typical project type | Time & materials | Time & materials |
Grid Dynamics vs Persistent Systems: pros and cons
| Grid Dynamics | |
|---|---|
| + | Public-company reporting gives visibility into how much of the business is AI. |
| + | GAIN platforms shorten agent builds in commerce and compliance. |
| + | Deep retail search and personalization history. |
| + | Partnership agreements with both Anthropic and OpenAI. |
| - | Engagements are sized for large engineering programs, not a small pilot |
| - | No fixed-price entry offer |
| - | Platform-led delivery can steer clients toward its own GAIN tooling |
| Persistent Systems | |
|---|---|
| + | Lower blended rates than U.S. or European integrators of similar size. |
| + | More than 1,000 Salesforce AI credentials across the staff. |
| + | SASVA platform aims to speed up delivery of the integration code itself. |
| + | Steady financial track record. |
| - | Mostly India-based delivery, with limited overlap for U.S. West Coast teams |
| - | Little visible packaging for a fixed-price pilot |
| - | Generalist engineering firm; AI integration is one of many lines |
Who should choose Grid Dynamics?
A typical fit: agentic product search and merchandising for retailers.
Packaged agentic platforms (GAIN) sitting on top of custom engineering. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Financial services, Manufacturing, Media.
Who should choose Persistent Systems?
A typical fit: offshore Salesforce AI implementation teams.
Offshore engineering scale with its own gen-AI delivery platform. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Telecom, Manufacturing.
Decision matrix: Grid Dynamics vs Persistent Systems
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Neither; plan for your own team to run it |
| Your budget is at the lower end | Compare: Grid Dynamics (Not disclosed) vs Persistent Systems (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Persistent Systems |
| You need multi-step agents acting across systems | Grid Dynamics |
| You need a large team for a multi-year program | Persistent Systems |
Use case fit: Grid Dynamics vs Persistent Systems
| Use case | Grid Dynamics fit | Persistent Systems fit | Winner |
|---|---|---|---|
| Agentic product search and merchandising for retailers | Strong | Limited | Grid Dynamics |
| Compliance-review agents for financial firms | Strong | Limited | Grid Dynamics |
| Offshore Salesforce AI implementation teams | Limited | Strong | Persistent Systems |
| Healthcare data integrations ahead of AI features | Limited | Strong | Persistent Systems |
Verdict: Grid Dynamics vs Persistent Systems
Grid Dynamics (4.2/5) is the stronger overall choice for most AI Integration Services projects. Packaged agentic platforms (GAIN) sitting on top of custom engineering.
Persistent Systems (4.0/5) is worth a look if you need healthcare data integrations ahead of AI features. If your situation matches that, Persistent Systems is a competitive option.
Related comparisons
Grid Dynamics vs Persistent Systems FAQ
Is Grid Dynamics better than Persistent Systems?
Grid Dynamics (4.2/5) scores higher overall, but "better" depends on your use case. Grid Dynamics's strongest advantage: public-company reporting gives visibility into how much of the business is AI. Persistent Systems's strongest advantage: lower blended rates than U.S. or European integrators of similar size.
How do Grid Dynamics and Persistent Systems differ in pricing?
Grid Dynamics's pricing: time & materials and dedicated teams; rates on request. Persistent Systems's pricing: time & materials and dedicated teams; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Grid Dynamics or Persistent Systems?
Persistent Systems is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Grid Dynamics and Persistent Systems?
Grid Dynamics's primary differentiator is: packaged agentic platforms (GAIN) sitting on top of custom engineering. Persistent Systems's primary differentiator is: offshore engineering scale with its own gen-AI delivery platform. They also differ in team size (4,000+ vs 28,600+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Financial services vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.