Inferel gives builders every model their agentic and batch workloads need — on one platform. Manufacture datasets with the Data Agent Factory, serve any model through a workload-optimized API, and run your most sensitive data on private clusters. One provider, from prototype to production scale.
One API key · 200+ models · OpenAI-compatible endpoints · Dedicated & private deployment
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.
Fleets of data agents that generate, label, distill, and verify datasets for training and benchmarking — at production scale.
One API to every model, tuned per workload — latency-optimized for agents, throughput-optimized for batch.
Dedicated, single-tenant clusters in your VPC or ours. Your data never leaves, with zero retention and full compliance.
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.
Reach 200+ frontier and open-weight models through a single OpenAI-compatible endpoint. Inferel routes each request to the profile it needs: snappy for live agents, maximal throughput for batch jobs, lowest cost for everything in between.
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.
Text, vision, image, video, audio, and embeddings — frontier and open-weight alike. Switch models with a single string; never touch your integration again.
Frontier and open-weight LLMs for reasoning, coding, and agentic workflows.
Image and document understanding for extraction, captioning, and analysis.
High-fidelity text-to-image and editing models for creative pipelines.
Text- and image-to-video models for generation and benchmark suites.
Transcription, text-to-speech, and audio understanding at scale.
Retrieval-grade embeddings and rerankers to power search and RAG.
Inferel speaks the OpenAI-compatible API you already use. Point your base URL at Inferel,
set INFEREL_API_KEY, and reach every model in
the catalog. Add a routing profile to tune for latency, throughput, or cost.
# One client. Every model. 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."}], )
Reliability, observability, security, and economics designed for teams shipping real products and running serious data and evaluation pipelines.
Health-aware routing and automatic failover keep workloads serving through any single-provider hiccup.
Per-request traces, latency, token usage, and spend across every model and modality — one dashboard.
Competitive per-token pricing with no minimums. Pay for exactly the inference you run.
Scoped API keys, per-key rate limits, SSO, and org-level controls so teams scale access safely.
From a single agent to millions of batched requests, capacity flexes to your job on demand.
Standard, OpenAI-compatible endpoints mean you keep your stack and stay portable across providers.
Tell us about your workload — dataset generation, production agents, model benchmarking, or private deployment — and our team will get you running on Inferel.
Or email us directly at sales@inferel.ai
