Built a Redis-Powered Deterministic Lead Gen AI Runtime for Cyvora
Cyvora, a global B2B lead generation SaaS serving millions of users, required a deterministic, auditable AI agent runtime. The system needed to power high-signal lead discovery, sales content generation, and negotiation workflows while maintaining strict cost control, reproducibility, and transparency in execution.
Redis-Based Agent Memory System
Deterministic AI Decision Engine
Real-Time Lead Processing
Scalable Microservices Architecture
Maintaining consistent AI agent decisions across multiple lead generation workflows.
Processing real-time lead data without latency, throughput, or memory bottlenecks.
Preserving reliable session memory across multi-step AI-driven user interactions.
Scaling the agent runtime efficiently to support continuously growing lead volumes.
We implemented Redis-backed deterministic state management to ensure consistent AI agent behavior across workflows and user sessions.
Bacancy designed real-time data pipelines to enable low-latency lead ingestion and faster lead qualification and routing.
Our Redis developers built persistent session memory using Redis streams to maintain multi-step conversational and behavioral context.
Developed containerized microservices architecture to horizontally scale agent workloads based on lead demand.
Deterministic Agent Runtime
Real-Time Lead Scoring
Session Memory Management
Automated Lead Routing
03
March 2025 - August 2025
Faster lead qualification with deterministic AI workflows
Reduced response time in real-time lead processing
Improved lead conversion through intelligent routing
High scalability for growing campaign demands
Reliable session memory across AI interactions
Lower infrastructure latency using Redis caching
| Frontend | React |
| Backend | PythonFastAPI |
| Database | PostgreSQL |
| In-memory Data Store | Redis |
| Cloud Infrastructure | AWS |
| Architecture | Microservices & Containers |
| API Communication | REST APIs |
| Project & Issue Tracking | Jira |
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