Quantiphi vs Persistent Systems: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Persistent Systems (4.0/5) overall. Quantiphi is the better choice for large document-heavy programs on Google Cloud or AWS. 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.
Quantiphi vs Persistent Systems: head-to-head summary
| Criterion | Quantiphi | Persistent Systems |
|---|---|---|
| Founded | 2013 | 1990 |
| HQ | Marlborough, MA, USA | Pune, India |
| Team size | 3,500+ | 28,600+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Partner-of-the-year history with both Google Cloud and AWS on AI work | Offshore engineering scale with its own gen-AI delivery platform |
| Pricing model | Fixed-scope projects, 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 | Vertex AI, AWS Bedrock, Snowflake | Salesforce, Azure OpenAI, AWS Bedrock |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Healthcare, Financial services, Telecom, Manufacturing |
Quantiphi vs Persistent Systems: overview
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and employs over 3,500 people, most of them in India. It reports 21 Google Cloud Partner of the Year awards over ten years and three AWS AI/ML Partner of the Year awards (per company materials; independently unverifiable). Document AI, contact-center AI, and healthcare and insurance workflows make up much of its integration work. Its size lets it staff large programs while still working only on AI and data.
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: Quantiphi vs Persistent Systems
| Capability | Quantiphi | 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: Quantiphi vs Persistent Systems
| Framework / platform | Quantiphi | Persistent Systems |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | ✓ |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Quantiphi vs Persistent Systems
| Criterion | Quantiphi | Persistent Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs Persistent Systems
| Dimension | Quantiphi | Persistent Systems |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Healthcare, Insurance, Financial services | Healthcare, Financial services, Telecom |
| Best use cases | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud | Offshore Salesforce AI implementation teams, Healthcare data integrations ahead of AI features |
| Typical project type | Fixed-scope project | Time & materials |
Quantiphi vs Persistent Systems: pros and cons
| Quantiphi | |
|---|---|
| + | Partner depth on two hyperscalers instead of one. |
| + | Document AI and contact-center AI are mature practice areas. |
| + | Enough staff to run several workstreams in parallel. |
| + | A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
| - | Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| - | Fixed-price pilots aren't advertised as a standard entry point |
| - | Award counts come from the company itself |
| 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 Quantiphi?
A typical fit: claims and medical-record extraction for insurers.
Partner-of-the-year history with both Google Cloud and AWS on AI work. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, 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: Quantiphi 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: Quantiphi (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 | Neither lists agentic work |
| You need a large team for a multi-year program | Persistent Systems |
Use case fit: Quantiphi vs Persistent Systems
| Use case | Quantiphi fit | Persistent Systems fit | Winner |
|---|---|---|---|
| Claims and medical-record extraction for insurers | Strong | Limited | Quantiphi |
| Contact-center assistants on Google Cloud | Strong | Limited | Quantiphi |
| Offshore Salesforce AI implementation teams | Limited | Strong | Persistent Systems |
| Healthcare data integrations ahead of AI features | Limited | Strong | Persistent Systems |
Verdict: Quantiphi vs Persistent Systems
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration Services projects. Partner-of-the-year history with both Google Cloud and AWS on AI work.
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
Quantiphi vs Persistent Systems FAQ
Is Quantiphi better than Persistent Systems?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one. Persistent Systems's strongest advantage: lower blended rates than U.S. or European integrators of similar size.
How do Quantiphi and Persistent Systems differ in pricing?
Quantiphi's pricing: fixed-scope projects, 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: Quantiphi 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 Quantiphi and Persistent Systems?
Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. Persistent Systems's primary differentiator is: offshore engineering scale with its own gen-AI delivery platform. They also differ in team size (3,500+ vs 28,600+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.