Platform as a ServiceComing soon
PaaS
The infrastructure layer we run our own models on — autoscaling model serving, multi-cloud deploys, and observability with drift detection, available for your workloads.
- 99.99%uptime SLA
- 3clouds
- Autoscaling
What it does
Built for the work, not the demo.
- 01
Model serving
Deploy models behind autoscaling endpoints with canary rollout, versioning, and instant rollback.
- 02
Multi-cloud
AWS, GCP, or Azure with portable infrastructure-as-code — no lock-in, same tooling everywhere.
- 03
Observability
Traces, metrics, structured logs, and model-drift detection for every service out of the box.
- 04
Security by default
SSO, secrets management, network isolation, and SOC 2-aligned controls enabled from day one.
Where teams use it
Use cases
- Hosting and scaling AI inference workloads
- Internal developer platforms and CI/CD
- Multi-tenant SaaS infrastructure
- Real-time data and event pipelines
Technical specs
- Autoscaling
- Sub-second
- Clouds
- AWS · GCP · Azure
- Rollouts
- Canary · instant rollback
- Compliance
- SOC 2 · ISO 27001
- Uptime SLA
- 99.99%
Integrate
One endpoint. Minutes to live.
Authenticate with a single key and call PaaS from any stack. SDKs for TypeScript, Python, and Go — or plain HTTP.
Read the docscurl https://api.nexoptech.com/api/v1/paas/deploy \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{ "service": "scorecard-v3", "replicas": "auto", "region": "ap-south-1" }'
# → { "status": "deploying", "strategy": "canary", "healthy": true }Keep exploring