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service
Data quality: Editorially Reviewed
Google Cloud
Software development
Language (LLM / NLP)
Financial services
Process automation
Agent & prompt engineering
Custom model development
Telecommunications
Databricks
Data engineering & preparation
Software & technology
Document intelligence (extraction)
Insurance
Implementation Partners
Implementation & integration
Drug discovery
Predictive / classical ML
Healthcare & life sciences
Manufacturing
Snowflake
Amazon Web Services
Salesforce
Industry applications
Retrieval & semantic search
Azure
ServiceNow
Agentic / autonomous
Enterprise

Persistent Systems

Implementation & integration

Offered by Persistent Systems Limited

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Overview

Persistent Systems anchors its offering on Persistent.AI and agentic business automation. Platforms include GenAI Hub, iAURA and SASVA, alongside solutions such as DocIntel, ProcessIntel, Agent Recon, Reg(AI)ntel and GenMolVS. Partners named include AWS, Google, Microsoft, IBM, Databricks, Salesforce, ServiceNow, Snowflake, UiPath and NVIDIA. Industries covered are banking and financial services, insurance, healthcare, life sciences, consumer tech, industrial, software and hi-tech, and telecom and media. The company overview page names Pune as headquarters and traces its history to 1990.

Pricing model
On request
Regions served
Global, North America, Europe, Asia
Categories
Google Cloud, Software development, Language (LLM / NLP), Financial services, Process automation, Agent & prompt engineering, Custom model development, Telecommunications, Databricks, Data engineering & preparation, Software & technology, Document intelligence (extraction), Insurance, Implementation Partners, Implementation & integration, Drug discovery, Predictive / classical ML, Healthcare & life sciences, Manufacturing, Snowflake, Amazon Web Services, Salesforce, Industry applications, Retrieval & semantic search, Azure, ServiceNow, Agentic / autonomous, Enterprise
Last updated
7 October 2026
Published
7 October 2026

Use cases

Software development
Document intelligence (extraction)
Process automation
Drug discovery

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
persistent.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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