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Serverless, Auto-Scaling Architecture
Scales instantly to absorb a data burst and back down to zero during idle periods, so cost tracks actual work.
A serverless RAG agent platform that absorbs large, infrequent data bursts, scales to zero when idle, and hands non-technical teams live control of prompts and feeds.
A leading media company wanted to harness RAG LLM agents to create innovative, AI-driven advertising solutions with real-time data processing and insights.
Large batches arriving infrequently, making always-on capacity both inadequate at peak and wasteful at rest.
The need to adjust prompts and data feeds on the fly, without a deployment cycle in between.
Proactive failure detection and automatic controls, rather than discovering problems from the output.
API management for third parties and clients, with credentials that could be issued and revoked safely.
We designed and delivered a fully serverless, web-based RAG agent platform that combined scalability, operational robustness, and a high-quality user experience.
Scales instantly to absorb a data burst and back down to zero during idle periods, so cost tracks actual work.
Live monitoring of data ingestion, processing status and generated insights in one view.
Secure API exposure with key management wired directly into the frontend for issuing and revoking client access.
Proactive failure detection with automatic controls, so a bad batch is caught and contained rather than published.
Auto-scaling serverless architecture.
Instant AI-driven advertising data.
Non-technical control and monitoring.