Persistent Systems
Pune-headquartered, publicly listed IT services giant with an AI/ML practice inside a much larger portfolio.
Founded 1990 | Pune, India | 10,000+ employees | Last updated: July 2026
ml-developmentai-consultingstaff-augdata-engineering
What is Persistent Systems?
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
Persistent Systems was founded in 1990 and is headquartered in Pune, India. The firm employs 10,000+ people and works primarily with clients in Financial Services, Healthcare, Technology/SaaS, Government sectors. Its primary differentiator is: Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty..
Persistent Systems tech stack and services
PythonAzure OpenAIAWSSalesforce
| Service area | Details |
|---|---|
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Available for Financial Services, Healthcare, Technology/SaaS, Government clients |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Available for Financial Services, Healthcare, Technology/SaaS, Government clients |
| Government or regulated-sector programs needing scale and compliance maturity | Available for Financial Services, Healthcare, Technology/SaaS, Government clients |
Persistent Systems use cases
Short answer: Persistent Systems is best suited for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
| Use case | Industries | Approach |
|---|---|---|
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Financial Services, Healthcare | Python, Azure OpenAI |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Financial Services, Healthcare | Python, Azure OpenAI |
| Government or regulated-sector programs needing scale and compliance maturity | Financial Services, Healthcare | Python, Azure OpenAI |
Persistent Systems pricing
Short answer: Persistent Systems uses a managed services and fixed project pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Managed services | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From Not published | Well-defined scope |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Persistent Systems does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Persistent Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +35 years of operating history and one of the largest headcounts on this list (24,000+) | -AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus |
| +AI capability delivered alongside a company's existing broader IT services relationship, reducing vendor sprawl | -Buyers seeking cutting-edge ML specialization may find deeper expertise at AI-first boutiques on this list |
| +16,000+ AI-trained staff cited internally, suggesting significant AI upskilling investment (per company website) | -Very large organization can mean slower response times and more layered account management than smaller firms |
| +Public-company scale supports very large, multi-year enterprise transformation programs |
Persistent Systems vs alternatives
How Persistent Systems compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises in financial services or other regulated sectors... | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies wanting a single vendor to cover... | Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers who want AI/ML delivery... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies wanting a specialist... | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | Small and mid-size companies in the EU that... | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | Companies needing GPU-heavy deep learning work where an... | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies combining AI/ML work with IoT or... | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare, BFSI, and manufacturing enterprises wanting AI capability... | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Enterprises, especially in financial services, needing AI delivery... | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises wanting a publicly-listed, financially transparent AI/analytics... | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, and industrials companies wanting industry-contextualized data... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises needing a data-engineering-first partner that also... | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting analytics and BI delivery with ML... | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Companies that already use Indium for QA/testing and... | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level financial transparency and public-company compliance... | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| EPAM Systems | The largest global enterprises needing AI delivery embedded... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting a large, established engineering partner with... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Mid-to-large enterprises, including Fortune 500 clients, wanting a... | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Enterprises across finance, media, healthcare, and retail wanting... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises wanting AI/ML and data science delivered... | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML delivered as part of a... | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML delivered by an outsourcing firm... | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises wanting model design through MLOps and production... | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, and health/fitness companies wanting a mid-size... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies specifically building conversational AI, chatbot, or generative-AI-driven... | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML delivered by a long-established generalist... | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI-powered application development from a firm... | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies wanting AI/ML added to a broader... | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | Small and mid-size companies wanting an accessible, specialized... | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI consulting from a team... | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML specifically paired with IoT sensor... | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
Persistent Systems FAQ
What is Persistent Systems?
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
How much does Persistent Systems charge?
Persistent Systems uses managed services and fixed project pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Persistent Systems use?
Persistent Systems works with Python, Azure OpenAI, AWS, Salesforce. Primary industries served include Financial Services, Healthcare, Technology/SaaS, Government.
Is Persistent Systems right for enterprise?
Very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. 10,000+ team size. Key consideration: AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus.
What are the best Persistent Systems alternatives?
The best alternatives to Persistent Systems depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare Persistent Systems with other Machine Learning Development agencies
Persistent Systems vs Neurons Lab Persistent Systems vs Tensorway Persistent Systems vs Provectus Persistent Systems vs InData Labs Persistent Systems vs AI Superior Persistent Systems vs Data Monsters Persistent Systems vs ITRex Group Persistent Systems vs Ideas2IT Persistent Systems vs Quantiphi Persistent Systems vs Fractal Analytics Persistent Systems vs Tredence Persistent Systems vs Sigmoid Persistent Systems vs LatentView Analytics Persistent Systems vs Indium Software Persistent Systems vs Grid Dynamics Persistent Systems vs EPAM Systems Persistent Systems vs SoftServe Persistent Systems vs N-iX Persistent Systems vs DataArt Persistent Systems vs Andersen Persistent Systems vs Innowise Group Persistent Systems vs Sigma Software Group Persistent Systems vs Exadel Persistent Systems vs MobiDev Persistent Systems vs Master of Code Global Persistent Systems vs ScienceSoft Persistent Systems vs Intellectsoft Persistent Systems vs Belitsoft Persistent Systems vs Neoteric Persistent Systems vs Addepto Persistent Systems vs Softweb Solutions
Last reviewed: July 2026. Verify all details directly with Persistent Systems before making a decision.