High-concurrency, resilient API gateways and microservices architectures engineered to unlock data silos and power AI ecosystems.
Modern enterprises rely on APIs as their digital backbone. Poorly architected APIs create security vulnerabilities, integration bottlenecks, and expensive technical debt.
We engineer high-throughput API layers that securely expose legacy systems, decouple microservices, and enable external partner integration while maintaining sub-100ms SLAs and zero-downtime reliability.
Critical business logic is locked inside legacy applications that lack modern, programmatic access.
Systems are connected directly to one another using inconsistent protocols, meaning one system upgrade breaks the entire chain.
Different teams have built APIs with varying authentication mechanisms, making global security audits impossible.
Organizations managing multiple specialized SaaS platforms that must share data seamlessly in real-time.
Companies needing to securely expose their core capabilities to external partners or client development teams.
When breaking down a monolithic application into smaller, independently scalable services.
When you need a single, unified backend API to power both your mobile applications and web portals.
Consolidating dozens of internal APIs behind a single, secure gateway with centralized rate-limiting and authentication.
Building a modern REST or GraphQL layer over a legacy SOAP or mainframe system to safely extract data.
Engineering a highly documented, secure API platform specifically designed for public third-party developers.
A targeted audit of your current API strategy, identifying security risks, performance bottlenecks and architectural flaws.
End-to-end design and delivery of a specific API product, from initial OpenAPI specification to production deployment.
We analyze data sources, map system dependencies, and author strict OpenAPI/GraphQL specifications before writing backend code.
We design OAuth 2.0 / JWT authentication, role-based access control, and rate-limiting rules to protect backend databases.
We implement low-latency API logic, deploy mock servers for parallel frontend development, and configure sub-millisecond caching layers.
We execute rigorous load testing and contract verification to guarantee APIs maintain sub-100ms response times under extreme peak loads.
Post-deployment, we transition into active observability, setting up continuous monitoring for anomaly detection (e.g., unexpected spikes in 4xx/5xx errors). We provide ongoing support for schema evolution and backward-compatible versioning.
For building highly concurrent, low-latency API services.
Selecting the appropriate interface paradigm based on client querying requirements.
For implementing sub-millisecond data caching and distributed rate limiting.
We build both. REST is typically preferred for standard B2B integrations and system-to-system communication, while GraphQL is often selected when powering complex front-end applications that require flexible data fetching.
We never expose legacy databases directly. We implement caching layers, queueing systems and rate-limiting at the API Gateway to ensure the legacy system only receives traffic it can safely handle.
Yes. We treat API documentation as a first-class deliverable, generating interactive, always-up-to-date documentation using the OpenAPI standard.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.