Enterprise AI & Security — Faster, Safer, Smarter

GirobaTech builds production-grade AI platforms and integrations with zero-trust security, sub-millisecond inference paths, and scalable observability. Ship models, reduce attack surface, and accelerate time-to-value.

99.99%
Uptime SLA
8x
Faster Inference
SOC2
Compliance Ready
AI 1 AI 2 AI 3 AI 4

Solutions for Modern Enterprises

We combine research-grade ML with hardened engineering to deliver solutions that integrate with your stack and keep data private by default.

Custom Model Deployment

From POC to production: efficient pipelines, model versioning, A/B testing, and rollback.

Low-latency Inference

GPU/FPGA support, batching, and optimized kernels for sub-10ms response where every millisecond matters.

Zero-Trust Security

Encryption-in-transit & at-rest, hardware root of trust, and fine-grained RBAC for pipelines and models.

Observability & Drift Detection

Realtime metrics, alerting, model performance dashboards, and automatic retraining triggers.

Technical architecture (summary)
  • Edge & Cloud hybrid inference with on-device encryption.
  • Model registry + CI/CD for models with signed artifacts.
  • Runtime sandboxing (WASM / containers) and policy guards on inputs/outputs.
  • Telemetry pipeline using OpenTelemetry, Prometheus, and Grafana.

We deliver production-ready modules and a managed or self-hosted option to fit compliance needs.

🔒 Security-first by design

From data governance to runtime protections, GirobaTech makes security an intrinsic part of your ML lifecycle.

Encryption & KMS
Secure Supply Chain
Least Privilege Access
Security diagram

Performance that scales

We optimize the entire inferencing path — kernels, I/O, batching, and network — to reduce latency and cost without sacrificing accuracy.

  • Quantization & pruning to reduce memory and accelerate execution.
  • Custom kernel integration and NVidia/MIG optimizations.
  • Adaptive autoscaling and load shedding under high throughput.
  • Edge-first deployments for geo-sensitive workloads.
Typical benchmark (example)
Baseline: CPU inference — 120ms per request
GirobaTech optimized: 15ms per request (8x improvement) — measured on mixed-precision inference with batching.

What we Provide

AI Intelligence
AI Intelligence

Production-grade models

Infrastructure
Infrastructure

Scalable platforms

Performance
Performance

8x faster inference

Security
Zero-Trust Security

SOC2 compliant

Ready to accelerate your AI initiatives?

Tell us about your use case. We’ll provide a tailored roadmap and a performance/security evaluation.

GirobaTech AI
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