Give AI features one product-owned gateway.

Route model selection, provider credentials, streaming, files, tools, batches, and usage through one backend API.

See how it works View the source ↗

AI workload gateway

Your product asks for useful workSummarize, classify, embed, generate, or call a tool

Daptin chooses a configured pathProvider, credential, model deployment, and product rules meet

The experience receives one coherent resultStreaming and usage remain connected to the request

Route provider selection, streaming, tools, files, batches, and usage through one backend API.

One backend APIKeep provider credentials and model selection on the backend while clients use one product API.

Controlled connectionsKeep provider credentials and deployments behind the backend.

Accountable workRelate usage and lifecycle to the request that caused it.

Why it matters

An AI feature is more than one text response.

Map each product feature to a configured model, provider account, and deployment.

Daptin brings provider decisions behind one provider-neutral API and connects them with stored credentials, deployments, files, usage, and runtime lifecycle.

Check how the code selects providers, streams responses, calls tools, processes batches, stores files, and records usage.

See the customer experience

Offer AI as a dependable product capability.

Keep the customer’s AI choices stable while Daptin handles service selection, documents, large request lists, prices, and plan allowances behind them.

Diagram showing one customer-facing AI option connected to capabilities, AI companies, backup choices, safeguards, and pricing. — **Offer one clear AI choice**Connect a customer-facing AI option to available services, backup choices, safeguards, and prices.Open diagram for full-size view

Support the ways customers use AIUse the same AI choice for conversations, writing, images, audio, search, document context, and consistent answer fields.Open diagram for full-size view

Diagram showing an uploaded reference file used for answers and a large request list producing a downloadable results file. — **Use documents and large request lists**Let customers ground answers in uploaded files or submit many named requests and download the combined results.Open diagram for full-size view

Diagram showing an AI request checked against a subscription allowance and added to the customer’s usage and cost history. — **Connect AI use to plans and prices**Check access and allowance, prepare the answer, record the final amount, and keep the customer’s usage and cost history current.Open diagram for full-size view

How metering fits

One journey across model work.

Provider routing, streaming, tools, files, batches, and usage records share one request identity and credential path.

ChooseProviders and models

List available models and assign each product feature to a configured provider deployment.

AuthorizeCredentials and access

Keep reusable provider secrets on the backend and associate work with a caller.

PerformStreaming, tools, files, batches

Support more than a one-shot response while retaining a shared request context.

AccountUsage and lifecycle

Relate consumption, cancellation, multi-node work, and shutdown to the product operation.

Provider contract

Keep model selection, provider credentials, and workload limits behind one product API.

Configure provider accounts, model deployments, tools, files, streaming, usage records, and workload limits on the backend. Clients submit AI work through the same authenticated Daptin API as other product requests.

View the source ↗Explore usage plans →