Cogedis uses Google Cloud AI and data solutions to drive innovation and cut infrastructure costs
Cogedis migrated from inflexible on-premises infrastructure to Google Cloud to improve scalability, reduce costs, and provide AI-driven services for clients. They implemented real-time data processing pipelines using Pub/Sub and Cloud Run, reducing data latency from one week to one day and enabling near real-time dashboards. They leveraged Apigee for improved API management and reliability, solving frequent outages experienced previously. Cogedis developed an AI legal assistant using Gemini Enterprise Agent Platform trained on their legal expertise providing customers 24/7 support. Developer productivity was boosted using Gemini Code Assist, reducing prototype development time by 90%. Google Cloud services used include Compute Engine, Cloud SQL, BigQuery, Pub/Sub, Cloud Run, Apigee, Vertex AI, Gemini Enterprise Agent Platform, and Gemini Code Assist.
- Organization
- Cogedis
- Industry
- Professional Services
- Location
- France
Reported outcomes
−90%
timeTime & speed
Strategic outcomes
Catalog median for time & speed deployments: −55% across 674 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 4
- 1Cloud migration
- 2Real-time data processing
- 3AI-powered legal assistant
- Cogedis faced operational bottlenecks and inflexible infrastructure limiting scalability and delivery of data-backed advice.
- Their on-premises systems were costly and slow to adjust, affecting service reliability and innovation capacity.
- They migrated to Google Cloud for scalable compute with Compute Engine and Cloud SQL, real-time streaming with Pub/Sub and Cloud Run, and API management with Apigee.
- AI-powered solutions were built using Gemini Enterprise Agent Platform and Vertex AI including a legal assistant and developer tools like Gemini Code Assist.
- The cloud-native approach enabled agile workflows and enhanced performance.
- Infrastructure costs reduced by 66.6%.
- Data latency reduced from one week to one day, enabling near real-time customer dashboards.
- API uptime improved significantly ensuring reliable processes.
- AI legal assistant provides continuous expert support to customers.
- Prototype development time reduced by 90%, boosting developer productivity.
Sources & evidence1
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