Intuz vs Persistent Systems: full comparison for 2026
Quick verdict
Intuz (3.7/5) edges ahead of Persistent Systems (3.4/5) overall. Intuz is the better choice for buyers wanting a documented count of live production agent deployments backing the advisory. Persistent Systems is the stronger option for enterprises wanting a publicly traded, audited advisory partner at very large scale. The right choice depends on your project size, budget, and required tech stack.
Intuz vs Persistent Systems: head-to-head summary
| Criterion | Intuz | Persistent Systems |
|---|---|---|
| Founded | 2008 | 1990 |
| HQ | San Francisco, USA | Pune, India |
| Team size | 51-200 | 20000+ |
| Rating | 3.7 / 5 | 3.4 / 5 |
| Best for | Buyers wanting a documented count of live production agent deployments backing the advisory | Enterprises wanting a publicly traded, audited advisory partner at very large scale |
| Pricing model | Dedicated team, fixed project | Retainer, dedicated team, T&M |
| Min. engagement | $20K | $100K |
| Primary tech stack | LangGraph, CrewAI, AutoGen | AWS, Azure, GCP |
| Industries served | Healthcare, E-commerce, Logistics | Healthcare, Fintech, Telecom |
Intuz vs Persistent Systems: overview
Intuz
Intuz was founded in 2008 and is a US-headquartered company with offices in San Francisco and San Ramon, California, plus an engineering center in Ahmedabad, India, and 51-200 employees. The firm advises on and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
Persistent Systems
Persistent Systems was founded in 1990 by Anand Deshpande and is headquartered in Pune, India, with 24,594 total employees. The company is a publicly traded organization (BSE and NSE) specializing in digital engineering, enterprise modernization, and software product development, leveraging AI, cloud, IoT, and data analytics across healthcare, financial services, and telecommunications.
Services and capabilities: Intuz vs Persistent Systems
| Capability | Intuz | Persistent Systems |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✓ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Intuz vs Persistent Systems
| Framework / platform | Intuz | Persistent Systems |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Intuz vs Persistent Systems
| Criterion | Intuz | Persistent Systems |
|---|---|---|
| Minimum engagement | $20K | $100K |
| Engagement models | Dedicated team, Fixed project, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Intuz vs Persistent Systems
| Dimension | Intuz | Persistent Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, E-commerce, Logistics | Healthcare, Fintech, Telecom |
| Best use cases | Production multi-agent advisory, Healthcare/logistics agent strategy | Enterprise digital engineering advisory, Large-scale agent modernization programs |
| Typical project type | Dedicated team | Retainer |
Intuz vs Persistent Systems: pros and cons
| Intuz | |
|---|---|
| + | Reports a specific, high production-deployment count (100+) rather than vague claims |
| + | US HQ with an India engineering center balances access and delivery cost |
| + | Multi-framework fluency (LangGraph, CrewAI, AutoGen) avoids lock-in to one stack |
| - | Deployment-count figures are self-reported (per company website; independently unverifiable) |
| - | Mid-size team (51-200) may face capacity limits on very large multi-region programs |
| Persistent Systems | |
|---|---|
| + | Public-company financial transparency (BSE/NSE listed) with audited scale |
| + | 35 years of digital engineering history across multiple technology cycles |
| + | Very large bench (24,000+) supports the most complex multi-region programs |
| - | Very large scale means minimal boutique-style senior-partner attention on individual engagements |
| - | High minimum engagement threshold limits accessibility for smaller buyers |
Who should choose Intuz?
Intuz is the right choice for buyers wanting a documented count of live production agent deployments backing the advisory.
Reports 100+ enterprise agent deployments already in production across three named framework stacks. Minimum engagement starts at $20K. Works best with clients in Healthcare, E-commerce, Logistics.
Who should choose Persistent Systems?
Persistent Systems is the right choice for enterprises wanting a publicly traded, audited advisory partner at very large scale.
Publicly traded (BSE/NSE) with 24,000+ employees and 35 years of digital engineering history. Minimum engagement starts at $100K. Works best with clients in Healthcare, Fintech, Telecom.
Decision matrix: Intuz vs Persistent Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Intuz |
| You need a large dedicated team for an ongoing programme | Intuz |
| Your budget is at the lower end | Intuz |
| You need specialist depth in a specific vertical | Intuz |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Intuz vs Persistent Systems
| Use case | Intuz fit | Persistent Systems fit | Winner |
|---|---|---|---|
| Production multi-agent advisory | Strong | Limited | Intuz |
| Healthcare/logistics agent strategy | Strong | Limited | Intuz |
| Enterprise digital engineering advisory | Limited | Strong | Persistent Systems |
| Large-scale agent modernization programs | Limited | Strong | Persistent Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Intuz vs Persistent Systems
Intuz (3.7/5) is the stronger overall choice for most AI Agent projects. Reports 100+ enterprise agent deployments already in production across three named framework stacks. It is best for buyers wanting a documented count of live production agent deployments backing the advisory.
Persistent Systems (3.4/5) is the better choice when enterprises wanting a publicly traded, audited advisory partner at very large scale. If your situation matches those criteria, Persistent Systems is a competitive option.
Related comparisons
Intuz vs Persistent Systems FAQ
Is Intuz better than Persistent Systems?
Intuz (3.7/5) scores higher overall, but "better" depends on your use case. Intuz is better for buyers wanting a documented count of live production agent deployments backing the advisory. Persistent Systems is better for enterprises wanting a publicly traded, audited advisory partner at very large scale.
How do Intuz and Persistent Systems differ in pricing?
Intuz uses dedicated team, fixed project pricing with a minimum engagement of $20K. Persistent Systems uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Intuz or Persistent Systems?
Intuz is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Intuz and Persistent Systems?
Intuz's primary differentiator is: reports 100+ enterprise agent deployments already in production across three named framework stacks. Persistent Systems's primary differentiator is: publicly traded (bse/nse) with 24,000+ employees and 35 years of digital engineering history. They also differ in team size (51-200 vs 20000+), minimum engagement ($20K vs $100K), and primary industries served (Healthcare, E-commerce vs Healthcare, Fintech).