Proven engineering results. Delivered to production.
Read how we have helped scaling enterprises and regulated companies modernize their architectures, secure their data, and optimize performance.
Decoupling Legacy Core Banking Platforms
A legacy Java monolith struggled to process rising transaction volumes, causing database locking issues during peak hours.
We decomposed the monolith into containerized Go microservices, intercepting database writes using Debezium (CDC) and streaming events through Apache Kafka.
P99 latency decreased from 4.2 seconds to 80 milliseconds. Database lock events were eliminated entirely, and resource usage dropped by 65%.
Row-Level Secure B2B Tenant Management
A multi-tenant SaaS application suffered from high database latency and security vulnerabilities due to shared client tables.
We redesigned the database schema to implement PostgreSQL Row-Level Security (RLS) rules and set up dynamic cache proxies using Redis.
Achieved absolute data isolation between enterprise tenants. API response times decreased by 40% and database CPU utilization dropped to a stable 25%.
Deploying Semantic RAG Context Search Engines
Customer service agents spent hours searching unstructured manuals for aviation parts details, delaying response times.
We built a semantic RAG system. We indexed technical manuals in a vector database and built a secure LLM gateway with strict validation guardrails.
Search times for aviation parts fell from 15 minutes to under 3 seconds. The system answers questions with 98% audited accuracy.
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