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Batch AI routing marketplace

Route AI batches through the cheapest eligible lane

Customers submit batch jobs or curated workflow runs once. The platform quotes the work, reserves credits, selects eligible provider lanes, handles retries and route receipts, and delivers signed result artifacts across public, fallback, and edge-capable providers.

Generate a sample artifactExplore use cases

Sample output

Finished support artifact

Ready for Slack, email, or webhook
Cluster 12Billing delay summarySend churn-risk bullets before standup.
Cluster 14Unresolved blockersAdd duplicate invoice cases to the CSV.
Daily digestLeadership briefDeliver the finished artifact to Slack, email, or webhook.
Preview the usable artifact in-browser before larger runs or downloads.Run this on your file

Migration path

Import existing OpenAI batch

Pinned to OpenAI first

Start with async AI jobs you already pay for. The importer converts the .jsonl into a quoteable manifest, pins the first run to OpenAI, and gives you a baseline before optimized routing.

1Upload .jsonlUse your original OpenAI input.
2Convert manifestMap supported requests to native batch items.
3Quote current workPrice it before optimizing routes.
Fastest path for teams already doing OpenAI batch work.Import OpenAI batch
Routing productQuote before dispatchJobs that can wait minutes or hours can be priced, split, routed, retried, verified, and delivered for less.
Customer buysAccepted quoteThe customer sees the estimated price, route explanation, SLA, and artifacts, not BatchRouter's wholesale costs.
Provider marketRoutes learnTrust signals, quality feedback, and provider performance make recurring workflows cheaper and more reliable over time.

Turn async tolerance into routing leverage

If a job can wait minutes or hours, the platform can quote, split, route, retry, and settle it as batch work.

1. Quote the job
Estimate cost, confirm funding, and reserve credits before the workflow starts.
2. Split and route work
Send each unit through the cheapest acceptable lane based on cost, privacy, SLA, quality, and provider trust.
3. Deliver finished artifacts
Return normalized outputs, exception files, webhook signals, and a record that the job settled.
See how it worksWalk the lifecycle

Why batch routing needs a control plane

Batch AI work is cheaper only when the right provider, model, price, capacity, and SLA window can be found at submission time.

Batch provider APIs differ

Native batch providers expose different APIs, price books, SLA windows, file formats, and failure modes.

Capacity and prices move

Provider offerings are versioned so accepted quotes keep their original cost, route, SLA, and settlement basis.

Customers buy quotes, not endpoints

The control plane owns the customer price, credit reservation, routing explanation, artifact delivery, and billing receipt.

Routing data compounds

Every quote and completed batch improves provider health, scoring, rejection reasons, and future route selection.

Featured workflow products

Curated workflow routes let customers buy an outcome while the platform chooses the provider and model mix behind the quote.

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Built for AI agents

Autonomous pipelines need async-first, CAPTCHA-free batch AI. BatchRouter delivers.

Register programmatically, submit batch jobs via HTTP, receive results via webhook — no browser, no clicks.

BatchRouter for AI Agents

Models and proof surfaces

Model coverage and demand rankings support the routing marketplace, but the core product is still the accepted batch quote.

Model catalog
Use the model catalog when you need to verify provider fit, supported operations, privacy tiers, or fallback options for a workflow you already understand.
Settled demand
Use rankings after live traffic exists and you want proof that real batch AI work is flowing through the platform.
Open model referenceOpen demand signals

Long-term market layer

As demand aggregates and supply competes, the routing layer can move toward the market-clearing price for batch AI work.

Demand
Customers bring recurring support, review, extraction, labeling, embeddings, and back-office batches.
Supply
Specialist providers compete for the work units they can satisfy at acceptable quality and cost.
Clearing layer
The platform turns competing provider offers into one upfront customer price for finished async work.