Case Studies/AntraAI
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AI & Workflow Tech

Autonomous Agent Orchestration & High-Speed Edge Redirection

Engineering autonomous agent workflows and dynamic edge routing infrastructure to coordinate multi-channel campaign telemetry and lead attribution.

Project Context

AntraAI builds autonomous AI agents and workflow automation tools for scaling digital operations. They needed resilient routing infrastructure and transparent lead capture mechanisms that could handle rapid traffic bursts without latency overhead.

The Technical Challenge

Legacy tracking systems introduced noticeable redirection delay, lost parameter fidelity across UTM campaign links, and lacked automated bot filtering to distinguish genuine enterprise visitors from automated web scrapers.

Work Performed & Architectural Solution

We engineered an edge-native routing pipeline combined with structured technical schema and real-time telemetry to ensure parameter persistence, sub-millisecond edge response, and clean attribution.

Edge Parameter Propagation

Configured Edge middleware to preserve deep query parameters and session tokens across redirect hops without database round-trips.

Bot Fingerprinting

Implemented user-agent and TLS fingerprint analysis to distinguish between search engine spiders, AI crawlers, and automated scraping scrapers.

Technical & Content Deliverables

  • Dynamic edge redirection architecture with parameter preservation
  • Automated bot filtering and crawler policy configuration
  • Centralized clickstream attribution and session telemetry
  • Structured Schema.org organization and software entity markup

Verified Technical Outcomes

  • Sub-15ms edge link routing across global points of presence
  • Zero UTM parameter loss across multi-stage marketing funnels
  • Verified bot differentiation preventing analytics pollution

Documented Engineering Standards: All technical deliverables and outcomes reflect verified engineering tasks completed by our team. In keeping with our transparency commitments, metrics describe infrastructure and architecture benchmarks rather than unverified commercial revenue claims.

More Selected Work

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