Backends built for intelligence.
Fast. Observable. Reliable.
Backends engineered for AI workloads — real-time streaming, full observability, and the reliability your business demands. Always know what's happening, always in control.
Responses that stream, not stall.
AI features need backends that deliver results in real-time. When your product streams AI responses, runs multi-step agent tasks, or processes data asynchronously, the backend architecture makes or breaks the user experience.
Users see AI-generated results as they're produced — not after a loading spinner. Background tasks run reliably with automatic retries and status updates. Your product feels responsive and intelligent, even when handling complex operations behind the scenes.
Every API is designed with reliability built in. Type safety catches errors before they reach production. Validation and error handling are comprehensive. The result: a backend your team can extend with confidence and your users can depend on.
The right foundation for growth.
We choose the right technology for each workload — not one-size-fits-all. Enterprise-grade services for core business logic. Event-driven systems for real-time features. The architecture matches the demand, so you're not over-engineering or under-building.
Many AI products need both: robust business logic processing and high-concurrency real-time connections. Our architectures support both cleanly, sharing type definitions, deployment pipelines, and monitoring — so complexity stays manageable as your product grows.
The technology choices prioritize your long-term interests: mature ecosystems with broad talent pools, proven reliability at scale, and clean separation of concerns. Your backend won't become a liability as the team grows.
Know what's happening. Always.
Real-time dashboards show you everything that matters: response times, error rates, AI model performance, and token costs. No black boxes — every layer of your system is visible and measurable.
When something goes wrong, you can trace the exact path through the system in seconds. Which model was called, how long it took, where it failed. This is essential when AI services depend on external providers that you don't control.
Alerting catches problems before users notice. Latency spikes, cost anomalies, quality degradation — the system flags issues early so your team can respond proactively. For AI workloads, this early warning is the difference between minor adjustments and customer-facing outages.
Trust built into every layer.
AI endpoints face unique security challenges that traditional backends don't. We build defense in depth: rate limiting prevents cost abuse, input validation blocks manipulation attempts, and API key management with rotation keeps your systems secure.
GDPR-compliant data handling is built into the architecture from day one. Personal data is encrypted, retention policies are enforced automatically, and deletion requests propagate through the entire system. Compliance isn't a retrofit — it's a foundation.
Every request is logged, every AI invocation is tracked, and every data access is auditable. When regulators or auditors ask questions, you have complete answers. Security and compliance are continuous processes, not one-time checkboxes.
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