Key facts
| API compatibility | OpenAI-compatible /v1/chat/completions; drop-in base URL change |
| Models | 30+ models behind one API; open-weight options for private deployment |
| Typical patterns | Warranty summarisation, dealer Q&A, manual search, quality notes |
| Integration path | Integrates with DMS, CRM and PLM systems through service middleware |
| Pricing model | Flat monthly self-serve plans with unlimited fair-use usage; no per-token billing — see the live pricing page |
| Free tier | plugsky-micro and plugsky-lite on the free plan, no card required |
| Deployment | Plugsky cloud, your VPC, on-prem and air-gapped options |
| Live endpoints | Chat, streaming, JSON mode, function calling, embeddings, RAG and agents |
TL;DR
- Start with dealer Q&A and claims summarisation, with assessor review.
- Keep a human decision-maker for warranty and safety outcomes.
- Run in the cloud, your VPC or on-prem depending on the data class.
- Evaluate on real multilingual dealer traffic, not demo prompts.
- Start free with plugsky-micro and plugsky-lite, no card required.
How it works, step by step
- Pick one workflow, such as warranty summarisation or dealer policy Q&A.
- Map the data classes involved and exclude vehicle location and owner data you do not need.
- Ground answers with RAG over versioned bulletins and manuals.
- Build against the OpenAI-compatible endpoint through controlled middleware.
- Choose deployment tier and region for supplier and dealer data.
- Pilot in one region, measure accuracy and review time, then scale.
Try it yourself
Open the RAG architecture builder →
Where an AI API fits in automotive
Automotive work spans factories, dealers and owners, which means many accents, languages and document types. Start where retrieval quality is measurable:
- Dealer support Q&A: answer policy, parts and process questions from current bulletins rather than tribal knowledge.
- Warranty claim summarisation: condense technician notes and images' descriptions into a reviewable claim narrative.
- Service communications: draft appointment confirmations, reminders and follow-ups in the customer's language.
- Owner-manual Q&A: let staff and owners ask feature questions grounded in the manual for that exact model year.
- Supplier and quality correspondence: summarise long email threads and 8D reports into action lists for engineers.
Security, privacy and data handling
Automotive data spans connected-vehicle telemetry, dealer systems and supplier intellectual property, so boundaries must be drawn per workflow:
- Keep vehicle location and owner personal data out of prompts unless there is a documented basis.
- Treat supplier documents and engineering data as confidential; restrict keys per programme.
- Keep warranty and safety determinations with qualified staff, not model output.
- Log prompts and outputs for claims and audit purposes, with retention matched to policy.
Deployment options and model choice
Dealer and factory workloads have different data classes, so separate keys and tiers per programme rather than one shared tenant. The same OpenAI-compatible API runs across Plugsky cloud, a private endpoint in your VPC, on-prem and air-gapped, with region-locked planes for residency. One key reaches 30+ models, including open-weight options for offline deployment, and migration is a base URL change. Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live; audio, images, moderation, files, batch, fine-tuning, assistants and the responses API remain coming soon. The free plan includes plugsky-micro and plugsky-lite with no card, and a 14-day full-access trial covers paid tiers — see the live pricing page for current plans.
From pilot to production
Multilingual, multi-system environments expose weak pilots quickly. Typical mistakes:
- Testing only in English when dealer traffic is multilingual.
- Letting claims narratives become decisions without an assessor's review.
- Connecting the API directly to core systems instead of through controlled middleware.
- Using one key for factory, dealer and customer workloads.
- Ignoring document versioning, so answers cite superseded bulletins.
Pilot with one dealer region and a labelled set of real claims and questions. Score retrieval accuracy and reviewer minutes, version your document corpus, and add languages only after the first one is stable.
Honest comparison
| Capability | Plugsky | Typical per-token API | Building in-house |
|---|---|---|---|
| API compatibility | OpenAI-compatible chat, embeddings and tools | Usually compatible | Full rewrite |
| Deployment | Cloud, VPC, on-prem and air-gapped | Mostly cloud-only | You operate GPUs and serving |
| Data residency | Region selection and sovereign options | Limited regions | You control fully |
| Pricing | Flat monthly self-serve, fair-use usage | Per-token, harder to forecast | GPU plus operations cost |
| Model choice | 30+ models behind one API | Varies by provider | You host every model |
| Industry fit | Warranty summarisation, dealer Q&A, manual search, quality notes | Generic API, you adapt it | You build every workflow |
Frequently asked questions
Can we keep our existing OpenAI SDK code?
Yes. Plugsky exposes an OpenAI-compatible API, so you change the base URL and model name and keep your SDK, prompts and middleware.
Is there a free plan?
Yes. The free plan includes two free models, plugsky-micro and plugsky-lite, and does not require a credit card.
How does pricing work?
Self-serve plans are flat monthly with unlimited fair-use usage; enterprise agreements cover private deployment and SLA terms. See the live pricing page for current plans.
Can we run it on-prem for factory data?
Yes. Plugsky supports a private endpoint in your VPC, on-prem and air-gapped deployment for enterprise setups.
Does Plugsky support multiple languages?
Yes. The same chat endpoint handles multilingual input and output; validate quality on a labelled set in each language you deploy.
Which endpoints are live today?
Chat completions, streaming, JSON mode, function calling, embeddings, RAG and agents are live. Audio, images, moderation, files, batch, fine-tuning, assistants and the responses API are coming soon.