TaskInfer
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Inference infrastructure for specific tasks

Specialized AI models. One API.

Access fast and cost-efficient ASR, TTS, OCR and vision models through a unified API or MCP.

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One credential · Typed tasks · Structured outputs

Capabilities

Purpose-built for the work between prompts.

Give each task the model, interface and output shape it actually needs.

Speech to Text

Turn audio into structured, searchable transcripts.
AudioTranscript

Text to Speech

Generate clear speech from application text.
TextAudio

OCR

Extract text and layout from images and documents.
Image / documentText

Object Detection

Locate objects and return labels with bounding boxes.
ImageLabels / boxes

Unified access

One API, many tasks

Add speech, document and vision capabilities without rebuilding authentication, usage controls or operational plumbing for every model.

One API keyUse one credential across task categories.
Consistent contractsShare authentication, errors and request conventions.
Unified usageSee task activity through one control plane.
Task-aware routingSend each workload to an appropriate capability.
01Clientapplication / agent
02Access layerauth / limits / usage
03Task routertyped capability
04Inferencespecialized container

Elastic inference lets task containers start and scale with demand, reducing idle infrastructure when traffic is low.

Two ways in

Built for agents

Applications and agents reach the same task layer. Choose the interface that fits the caller, not a different product.

API

For applications and automation

Integrate task inference into products, pipelines and SaaS workflows.

Direct requests · predictable responses

MCP

For agents and tool platforms

Expose specialized tasks as discoverable tools that agents can invoke.

Tool discovery · structured invocation

Interface preview

A clear task contract, whatever the model.

Send a typed task and input asset. Receive a structured result that your application or agent can use without translating free-form output.

This request shape illustrates the interface direction. Verified endpoint examples will ship with the public quickstart.

Typed inferencenon-executable preview
TASK REQUEST
authorization  Bearer $TASKINFER_API_KEY
task           speech.transcribe
input          <audio asset>

STRUCTURED RESULT
status         completed
output         <task-specific result>

Right-sized inference

Why specialized models

General-purpose models remain useful for open-ended reasoning. For repeatable production tasks, a focused model can offer a simpler, more controllable operating profile.

Task scopeBroad reasoning across many domainsFocused behavior for a defined job
Compute profileProvisioned for wide capabilitySized around the task workload
Response shapeFlexible natural-language outputTask-specific structured output
OperationsOne large model for mixed requestsIndependent services that scale by demand

Start with a task

Use the right model for the task.

Add focused speech, document and vision capabilities through one inference layer built for developers and agents.

Get API KeyView Quickstart