deepsense.ai vs Persistent Systems: full comparison for 2026
Quick verdict
deepsense.ai (4.5/5) edges ahead of Persistent Systems (4.0/5) overall. deepsense.ai is the better choice for teams needing RAG and evaluation done properly. 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.
deepsense.ai vs Persistent Systems: head-to-head summary
| Criterion | deepsense.ai | Persistent Systems |
|---|---|---|
| Founded | 2014 | 1990 |
| HQ | Warsaw, Poland | Pune, India |
| Team size | 101–200 | 28,600+ |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | Evaluation frameworks that test model output before it reaches users | Offshore engineering scale with its own gen-AI delivery platform |
| Pricing model | Time & materials and fixed-scope projects; $100–$149/hr (Clutch band) | Time & materials and dedicated teams; rates on request |
| Min. engagement | $25,000+ (Clutch) | Not disclosed |
| Primary tech stack | LangChain, Azure OpenAI, AWS Bedrock | Salesforce, Azure OpenAI, AWS Bedrock |
| Industries served | Retail & e-commerce, Manufacturing, Financial services, Telecom | Healthcare, Financial services, Telecom, Manufacturing |
deepsense.ai vs Persistent Systems: overview
deepsense.ai
deepsense.ai is a Warsaw AI engineering company founded in 2014 with 100–200 staff. Its recent Clutch-listed work centers on agentic systems that automate internal workflows, retrieval-augmented generation (RAG) knowledge platforms, voice AI on telephony, and evaluation frameworks for testing models before release. Its research background predates the current LLM wave by several years. Clutch shows a $100–$149 hourly band and a $25,000 minimum, which places it at the upper end of European rates.
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: deepsense.ai vs Persistent Systems
| Capability | deepsense.ai | 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: deepsense.ai vs Persistent Systems
| Framework / platform | deepsense.ai | Persistent Systems |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: deepsense.ai vs Persistent Systems
| Criterion | deepsense.ai | Persistent Systems |
|---|---|---|
| Minimum engagement | $25,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: deepsense.ai vs Persistent Systems
| Dimension | deepsense.ai | Persistent Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Retail & e-commerce, Manufacturing, Financial services | Healthcare, Financial services, Telecom |
| Best use cases | Building a RAG assistant over product manuals with measured answer accuracy, Voice agents that answer inbound calls and write back to a ticketing tool | Offshore Salesforce AI implementation teams, Healthcare data integrations ahead of AI features |
| Typical project type | Fixed-scope project | Time & materials |
deepsense.ai vs Persistent Systems: pros and cons
| deepsense.ai | |
|---|---|
| + | Builds evaluation suites that measure accuracy before a feature ships. |
| + | Voice AI over phone lines is an uncommon skill among integration vendors. |
| + | A ten-year ML track record means classical models and LLMs can be mixed when one alone won't do. |
| + | Clients still give it 4.8–4.9 on Clutch's cost score despite the higher rate band. |
| - | The $100–$149 Clutch band is high for Central European delivery |
| - | Enterprise CRM and ERP connectors are not where its case studies concentrate |
| - | Post-launch managed service isn't a packaged offer |
| 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 deepsense.ai?
A typical fit: building a RAG assistant over product manuals with measured answer accuracy.
Evaluation frameworks that test model output before it reaches users. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Retail & e-commerce, Manufacturing, Financial services, Telecom.
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: deepsense.ai 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: deepsense.ai ($25,000+ (Clutch)) 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 | deepsense.ai |
| You need a large team for a multi-year program | Persistent Systems |
Use case fit: deepsense.ai vs Persistent Systems
| Use case | deepsense.ai fit | Persistent Systems fit | Winner |
|---|---|---|---|
| Building a RAG assistant over product manuals with measured answer accuracy | Strong | Limited | deepsense.ai |
| Voice agents that answer inbound calls and write back to a ticketing tool | Strong | Limited | deepsense.ai |
| Offshore Salesforce AI implementation teams | Limited | Strong | Persistent Systems |
| Healthcare data integrations ahead of AI features | Limited | Strong | Persistent Systems |
Verdict: deepsense.ai vs Persistent Systems
deepsense.ai (4.5/5) is the stronger overall choice for most AI Integration Services projects. Evaluation frameworks that test model output before it reaches users.
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
deepsense.ai vs Persistent Systems FAQ
Is deepsense.ai better than Persistent Systems?
deepsense.ai (4.5/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: builds evaluation suites that measure accuracy before a feature ships. Persistent Systems's strongest advantage: lower blended rates than U.S. or European integrators of similar size.
How do deepsense.ai and Persistent Systems differ in pricing?
deepsense.ai's pricing: time & materials and fixed-scope projects; $100–$149/hr (Clutch band) with a minimum engagement of $25,000+ (Clutch). 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: deepsense.ai 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 deepsense.ai and Persistent Systems?
deepsense.ai's primary differentiator is: evaluation frameworks that test model output before it reaches users. Persistent Systems's primary differentiator is: offshore engineering scale with its own gen-AI delivery platform. They also differ in team size (101–200 vs 28,600+), minimum engagement ($25,000+ (Clutch) vs Not disclosed), and primary industries served (Retail & e-commerce, Manufacturing vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.