Production / Reliable / Cost-Efficient
AI Infrastructure& High-Concurrency Backends
Production-ready backends for B2B SaaS and logistics platforms. We specialize in RAG, real-time systems, and cloud-native architecture.
Solutions
Modular capabilities designed to deliver measurable outcomes with clear scope and accountability.
AI Infrastructure & RAG Systems
Production-grade retrieval and LLM systems, from prototype to scale. We specialize in hybrid search, vector databases, and cost-optimized inference. Tech: Java, Spring Boot, Milvus, Redis, AWS. Typical outcomes: sub-second query latency, 70%+ reduction in manual support workload.
High-Concurrency Backend Systems
Real-time services and event-driven platforms built for scale. Expertise in caching, messaging, and distributed rate limiting. Tech: Redis, Kafka, RocketMQ, PostgreSQL. Typical outcomes: 10k+ RPS sustained throughput, 99.9%+ availability, millisecond-level response.
Cloud & DevOps
Cloud-native architecture and automation to improve reliability and deployment velocity. CI/CD, Infrastructure as Code, zero-downtime migrations. Tech: AWS, Docker, Terraform. Typical outcomes: reduced deployment time from days to minutes, infrastructure cost optimization.
Case Studies
Representative engagements demonstrating our approach to backend and AI delivery. Client details anonymized under NDA.
Intelligent Support Automation for High-Volume SaaS
A Canadian B2B software company faced rising support costs as its user base scaled.
Challenge
Customer inquiries were growing faster than support headcount. Legacy FAQ and ticket systems couldn't handle multi-turn questions, leading to long wait times and inconsistent answers.
Solution
Codary Labs designed a multi-stage RAG system with intent routing, hybrid retrieval, and cost-aware LLM orchestration. Implemented guardrails for reliability, rate limiting, and multi-model fallback. Java + Spring Boot + AWS architecture.
Results
Multi-stage RAG support pipeline
How we work
No slide decks. Just working software, fast.
We keep delivery simple with clear scope and accountability. Our approach for backend and AI systems:
1) Align in 1 week
Kickoff to lock scope, tech stack, and success metrics. We define target latency, cost budgets, and launch dates upfront. No endless requirements docs.
2) Ship every 2 weeks
Build in Java + Spring Boot + AWS. You get a working demo every sprint. Code in GitHub, infrastructure as code with Terraform, CI/CD from day one.
3) Measure in production
We set up monitoring for latency, cost, and uptime before launch. You own all code, data, and cloud accounts. We stay on for optimization post-launch.
From kickoff to production: typically 8-12 weeks for initial release.
About Codary Labs
Codary Labs is a Vancouver-based technology consultancy founded in Oct 2024.
We help BC enterprises ship production-ready backends and AI infrastructure.
We deliver fixed-scope projects with clear accountability. From kickoff to production release typically in 8-12 weeks.
Stack: Java 21, Spring Boot, AWS, Redis, Kafka, Milvus, PostgreSQL.
Contact
Project inquiries, partnerships, and general questions. Tell us about your goals, timeline, or request, and we'll get back to you within 1 business day.