AI infrastructure provider

The AI infrastructure behind your agents, data, and inference.

Inferel gives builders all the AI their agentic and batch workloads need — on one platform. Manufacture datasets with the Data Agent Factory, run any workload through a workload-optimized inference API, and keep your most sensitive data on private clusters. One provider, from prototype to production scale.

Free USD 100 testing quota · One API key · Any workload · OpenAI-compatible · Dedicated & private deployment

10K QPS
Concurrency at ~50% lower cost
6
Modalities covered
99.9%
Serving uptime target
SOC2
+ HIPAA-ready private clusters
One platform, three core services

Everything you need to build, serve, and secure AI.

From manufacturing training and evaluation data, to serving it at the right cost and latency, to keeping regulated workloads fully isolated — Inferel covers the entire inference lifecycle.

Data Agent Factory

Fleets of data agents that generate, label, distill, and verify datasets for training and benchmarking — at production scale.

Explore the Factory →

Workload-Optimized Inference Service

One API to every workload, tuned per request — latency-optimized for agents, throughput-optimized for batch.

Explore the Inference Service →

Private Data Cluster Service

Dedicated, single-tenant clusters in your VPC or ours. Your data never leaves, with zero retention and full compliance.

Explore Private Clusters →
Data Agent Factory
Inference Service
Private Clusters
Data Agent Factory

Manufacture the data your AI is trained and judged on.

Spin up fleets of autonomous data agents that generate, transform, label, and verify datasets across every modality — then ship versioned, ready-to-train outputs. Built for teams creating synthetic corpora, distillation sets, and benchmark suites at scale.

  • Synthetic data generationproduce text, image, audio, and multimodal datasets on demand.
  • Multi-agent orchestrationgenerator, critic, and verifier agents collaborate in one pipeline.
  • Automated labeling & QAannotate and auto-review at scale with confidence scoring.
  • Distillation pipelinesdistill frontier outputs into smaller, cheaper systems.
  • Preference & RLHF databuild pairwise and ranked datasets for alignment and tuning.
  • Benchmark & eval set creationassemble graded test suites to score systems head-to-head.
  • Dedup, filtering & safetyautomatic deduplication, PII scrubbing, and quality gates.
  • Versioned, exportable outputssnapshot every dataset and export to S3, GCS, or JSONL.
Data agent pipeline — yield rows this run
Quality gates remove ~1 in 3 samples 985K clean rows → GCS
Workload-Optimized Inference Service

One API to every workload — tuned to how it runs.

Run every workload through a single OpenAI-compatible API. Inferel routes each request to the profile it needs: snappy for live agents, maximal throughput for batch jobs, lowest cost for everything in between.

  • One API, every workloadswap with a single string, no re-integration.
  • Per-workload routing profileslatency, throughput, or cost-optimized on every call.
  • Optimized servingspeculative decoding, batching, and KV-cache reuse under the hood.
  • Elastic autoscalingfrom one agent to millions of batch requests, on demand.
  • Health-aware failoverno single provider outage takes your workload down.
  • Tool calls & structured outputuniform schema for function calling and JSON across every endpoint.
  • Rate limits & SLA tiersper-key and per-org controls with guaranteed capacity.
  • Full observabilityper-request traces, latency, tokens, and spend in one dashboard.
Latency
Throughput
Cost
Latency-optimized for live agents & chat
~180ms
Time to first token
High
Concurrency
Auto
Failover
Private Data Cluster Service

Run your most sensitive workloads on dedicated, isolated infrastructure.

For regulated and high-security teams: single-tenant GPU clusters deployed in your VPC or a private Inferel region. Your data and prompts never touch shared infrastructure, never leave your boundary, and are never retained.

  • Dedicated single-tenant clustersisolated GPU capacity reserved entirely for you.
  • Deploy in your VPC or oursprivate networking, no public egress for inference traffic.
  • Zero data retentionprompts and outputs are never logged or stored.
  • Compliance built inSOC 2, HIPAA-ready, with data-residency / region pinning.
  • Bring your own weightsserve your fine-tunes and open weights on private capacity.
  • Guaranteed capacity & SLAsreserved throughput with contractual uptime.
  • Private Data Agent Factoryrun dataset generation entirely inside your boundary.
  • Audit logs & access controlsSSO, scoped keys, and full request audit trails.
GPU capacity available to you · 24h
Reserved capacity always available — 0 throttling, your data never leaves your boundary.
SOC 2HIPAA-readyZero retentionIn your VPC
All the AI you need

Every modality, behind one unified API.

Text, vision, image, video, audio, and retrieval — frontier and open-weight alike. Switch with a single string; never touch your integration again.

Language & reasoning

Frontier and open-weight intelligence for reasoning, coding, and agentic workflows.

ReasoningCodingLong context

Vision & multimodal

Image and document understanding for extraction, captioning, and analysis.

OCRVQAGrounding

Image generation

High-fidelity text-to-image and editing for creative pipelines.

Text-to-imageInpainting

Video generation

Text- and image-to-video for generation and benchmark suites.

Text-to-videoImage-to-video

Audio & speech

Transcription, text-to-speech, and audio understanding at scale.

STTTTSDiarization

Embeddings & rerank

Retrieval-grade embeddings and rerankers to power search and RAG.

EmbeddingsRerank
One integration, zero lock-in

Swap any workload — with a single line.

Inferel speaks the OpenAI-compatible API you already use. Point your base URL at Inferel, set INFEREL_API_KEY, and run any workload. Add a routing profile to tune for latency, throughput, or cost.

  • Drop-in compatible with existing SDKs and agent frameworks
  • Same call powers one agent request or a million-row batch job
  • Usage, latency, and cost visibility on every call
inferel_quickstart.py
# One client. Every endpoint. Tuned per workload.
from openai import OpenAI

client = OpenAI(
    base_url="https://inference.inferel.ai/v1",
    api_key=os.environ["INFEREL_API_KEY"],
)

resp = client.chat.completions.create(
    model="frontier-llm-xl",
    # latency | throughput | cost
    extra_body={"profile": "throughput"},
    messages=[{"role": "user",
               "content": "Generate a benchmark row."}],
)
Why teams build on Inferel

Production infrastructure, not a proxy.

Reliability, observability, security, and economics designed for teams shipping real products and running serious data and evaluation pipelines.

Enterprise-grade reliability

Health-aware routing and automatic failover keep workloads serving through any single-provider hiccup.

Full observability

Per-request traces, latency, token usage, and spend across every endpoint and modality — one dashboard.

Transparent economics

Competitive per-token pricing with no minimums. Pay for exactly the inference you run.

Secure by default

Scoped API keys, per-key rate limits, SSO, and org-level controls so teams scale access safely.

Elastic scale

From a single agent to millions of batched requests, capacity flexes to your job on demand.

No lock-in

Standard, OpenAI-compatible endpoints mean you keep your stack and stay portable across providers.

Build, serve, and secure AI on one platform.

Tell us about your workload — dataset generation, production agents, AI benchmarking, or private deployment — and our team will get you running on Inferel. Start with a free USD 100 testing quota: fill in the testing questionnaire and we'll deliver a configured test environment.

Or email us directly at sales@inferel.ai