Solutions
What teams build on private AI infrastructure.
Each solution page describes the problem, typical use cases, the plans and models that fit, and what to consider before you start.
For software agencies
Software Agencies
Ship chatbots, RAG, document analysis and AI search for your clients without building an AI infrastructure team. Private nodes, OpenAI-compatible API, partner pricing.
Read moreFor SaaS companies
SaaS
Predictable, private inference for AI features in HR, CRM, support, analytics and vertical SaaS. OpenAI-compatible API, fixed monthly pricing, dedicated nodes.
Read moreFor e-commerce
E-commerce
Product search, recommendations, product descriptions, multilingual translation and customer support on managed private AI infrastructure with fixed monthly pricing.
Read moreFor industrial companies
Industrial AI
Private RAG over maintenance documentation, production reports and quality records. AI assistance integrated into your workflows on managed dedicated infrastructure.
Read moreDocument AI
Document AI
Run retrieval-augmented generation, structured extraction and document classification on private open-weight models with an OpenAI-compatible API.
Read moreFor contact centers
Call Intelligence
Transcribe, summarise and classify customer calls on managed private AI infrastructure. Whisper-compatible speech API plus LLM summarisation and sentiment.
Read moreFor iOS & macOS teams
iOS Development
Dedicated Apple Silicon build nodes for iOS and macOS teams. Xcode environments, GitHub Actions and GitLab CI runners, managed maintenance. From a fixed monthly price.
Read moreFor agencies
Partner Program
Resell private nodes and managed endpoints to your clients, with agency pricing and engineering support.
Read more
Building something else? Get an architecture recommendation.
Your private AI endpoint can be simpler than your cloud bill.
Tell us what you are building. An engineer — not a sales script — will come back with a concrete deployment proposal.