Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
A software platform unifying customer support and engineering data, processing billions of monthly requests globally.
Unifying data from siloed systems like CRM and ITSM is complex due to rigid schemas and the inefficiency of moving massive data volumes. The...
“One of the main challenges was improving how we can coordinate across geographically dispersed teams and disparate systems. By bringing data together and working on it in real time, we keep everyone in sync. Combine a platform built for AI with a full picture of the business and you have a gold mine for efficiency.”
AI-native platform unifying customer support and product development workflows.
Multi-cloud developer data platform for building and scaling applications.
DevRev's AI platform infrastructure is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
A software platform unifying customer support and engineering data, processing billions of monthly requests globally.
Unifying data from siloed systems like CRM and ITSM is complex due to rigid schemas and the inefficiency of moving massive data volumes. The...
“One of the main challenges was improving how we can coordinate across geographically dispersed teams and disparate systems. By bringing data together and working on it in real time, we keep everyone in sync. Combine a platform built for AI with a full picture of the business and you have a gold mine for efficiency.”
AI-native platform unifying customer support and product development workflows.
Multi-cloud developer data platform for building and scaling applications.
DevRev's AI platform infrastructure is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.