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Self-hosted translation engine

Operate multilingual translation and summarization workloads entirely inside your own infrastructure. intxtonic ships with an orchestration layer that queues jobs, balances GPU/CPU workloads, and applies configurable fallbacks to guarantee every post is localized in time.

24+ locales Deterministic summaries Offline friendly
Translation engine dashboard illustration

Pipeline architecture

Requests flow through an async queue backed by Redis, ensuring burst traffic never overloads the translation backends. Each job records source language, target locales, and completion telemetry for later analytics.

  • Extensible worker adapters for HuggingFace, Ollama, and custom inference endpoints.
  • Automatic retries with exponential backoff and configurable TTLs.
  • Per-locale quality thresholds with optional human review hooks.

Data residency controls

Your translations never leave your VPC. intxtonic stores intermediate artifacts in encrypted object storage and supports region-specific retention policies so every jurisdiction stays compliant.

  • Bring-your-own S3 bucket, Azure Blob, or on-premise MinIO.
  • Role-based access for translation history exports.
  • Data anonymization helpers for sensitive input.

Observability out of the box

Track translation health with Prometheus metrics, structured logs, and alertable events. Dashboards highlight queue depth, job latency, cost per locale, and summary confidence.

  • Grafana-ready dashboards and JSON schema for custom tooling.
  • Webhook notifications when SLA thresholds are at risk.
  • Fine-grained audit trail for every translation lifecycle.