Key facts
| Models | 30+ models behind one OpenAI-compatible API |
| Deployment | Cloud, VPC, on-prem, air-gapped |
| Security | RBAC, SSO and audit logs for enterprise access |
| Residency | Region selection and sovereign deployment options |
| Legal | Published SLA, terms and DPA |
| Pricing | Flat self-serve plans; enterprise quoted in an agreement |
| Coming soon | Audio, images, moderation, files, batch, fine-tuning, assistants, responses |
| Product status | Live |
TL;DR
- Strong fit for teams needing model breadth plus deployment control.
- Private deployments address residency, isolation and BYOK requirements.
- Security and legal artefacts exist for procurement review.
- Endpoint gaps are real — check the roadmap against your workload list.
- Run a scoped pilot with your own evals before an enterprise commitment.
How it works, step by step
- List the workloads you plan to run and the endpoints each one needs.
- Map gaps against the roadmap — keep a secondary provider for missing endpoints.
- Define residency, isolation and key-custody requirements per workload.
- Request the SLA, DPA, sub-processor list and security documentation for review.
- Run a pilot on the free plan and full-access trial with your own evaluation set.
- Scope the production deployment model and commercial terms with the team.
Try it yourself
Where Plugsky is strong
The enterprise case rests on four things:
- Model breadth with one contract: 30+ models behind a single OpenAI-compatible API, so teams standardise on one integration instead of several vendor SDKs.
- Deployment control: cloud, VPC, on-prem and air-gapped options let security teams choose the boundary rather than accept a default.
- Predictable economics: flat self-serve pricing and quoted enterprise agreements avoid per-token forecasting problems.
- Procurement artefacts: published SLA, terms and DPA, plus security controls such as RBAC, SSO and audit logs.
For organisations consolidating AI vendors across departments, that combination removes a lot of duplicate integration and review work.
Where it is not the right fit yet
Be honest about the gaps. Audio, images, moderation, files, batch, fine-tuning, assistants and responses endpoints are coming soon, not live. If your roadmap depends on speech, vision, moderation pipelines or managed fine-tuning, either keep another provider for those paths or sequence them after the roadmap lands. Likewise, if you want a fully managed end-to-end AI platform with hosted vector databases and agent tooling, Plugsky gives you the model layer and expects you to own the application architecture around it. Those are design choices, not defects — but they belong in the evaluation.
What we do and what we do not do
What we do: provide a stable OpenAI-compatible API across 30+ models, support private and sovereign deployments, publish legal and security documentation, and price enterprise capacity openly in an agreement. What we do not do: claim compliance certifications we have not stated, pretend roadmap endpoints are live, or manage your application stack. Run a pilot with your data and evals, involve security and procurement early, and review the SLA and terms as part of due diligence.
Honest comparison
| Enterprise need | Plugsky | Hyperscaler AI platform | Single-model vendor |
|---|---|---|---|
| Model breadth | 30+ models, one API | Broad but platform-bound | One family |
| Deployment control | VPC, on-prem, air-gapped | Cloud-centric | Varies |
| Data residency | Region and sovereign options | Multi-region | Limited |
| Pricing predictability | Flat plans and agreements | Usage-based | Usage-based |
| Specialist endpoints | Some coming soon | Broad | Varies |
| Procurement artefacts | SLA, terms, DPA | Extensive | Varies |
Frequently asked questions
Is Plugsky enterprise-ready today?
For chat, streaming, JSON mode, function calling, embeddings and RAG workloads, yes — the API is live and enterprise deployments exist. For specialist endpoints, check the roadmap first.
What security controls are available?
RBAC, SSO and audit logs are documented for enterprise access, with private deployments available when you need network isolation or customer-managed keys.
Can we keep data in-country?
Yes — region selection and sovereign deployments (VPC, on-prem, air-gapped) support residency requirements. Confirm the model matrix for your region.
Is there an SLA and DPA?
A published SLA, terms and DPA are available for procurement and legal review before commitment.
How is pricing structured for enterprises?
Self-serve plans are flat monthly with unlimited fair-use usage; enterprise and dedicated deployments are quoted in an agreement. See the live pricing page.
What is the biggest limitation to plan for?
Specialist endpoints — audio, images, moderation, files, batch, fine-tuning, assistants and responses — are coming soon, so workloads depending on them need an interim plan.
How should we run a pilot?
Use the free plan with two models for integration, then the 14-day full-access trial with your own evaluation set. Score quality, latency and cost per workload before scoping production.