Synthetic data generation
Text, image, audio, and multimodal datasets on demand.
The AI infrastructure behind your agents, data, and inference.
One platform built for production scale. Dedicated inference endpoints, private GPU clusters, and data agents on one OpenAI-compatible API.
One platform, three core services
Everything you need to build, serve,
Everything you need to build, serve,
and secure AI.
Data Agent Factory
Agents that generate, label, and verify your training data at production scale.
Inference Service
One API, tuned to each request. Fast for live agents, high-throughput for batch jobs.
Private Data Clusters
Single-tenant capacity in your VPC or ours. Your data never leaves its region.
Production AI Workloads
Run Faster on Inferel
Real Performance for Real Production AI
50%Lower Cost with Higher Concurrency
2xOptimize Model Response Times
99.9%Uptime SLA
2.5xAuto-scale When Demand Spikes
Data Agent Factory
Manufacture the data your AI is trained and judged on.
Autonomous data agents generate, label, and verify. Versioned datasets, ready to train.
Dedup, filtering & safety
Automatic deduplication, PII scrubbing, and quality gates.
Multi-agent verification
Generator, critic, and verifier agents score every row.
Labeled, versioned outputs
Distillation sets, RLHF pairs, and eval suites to S3, GCS, or JSONL.
Inference Service
One API to every workload tuned to how it runs.
Run every workload through one OpenAI-compatible API, on a global endpoint network. Inferel tunes each request to the job it is doing.
One API, every workload
One string to swap models, one schema for tool calls and JSON.
Per-workload routing profiles
Latency, throughput, or cost-optimized on every call.
Optimized serving, elastic scale
Speculative decoding and KV-cache reuse, from one agent to millions of rows.
Global endpoints, contracted SLAs
Automatic failover, per-key limits, and provisioned throughput.
Latency-optimized
180msTime to first token
HighConcurrency
AutoFailover
Throughput-optimized
MassiveParallel requests
BurstAutoscaling
100%Job completion
Cost-optimized
LowestPer-token cost
OpenWeights
$0Minimums
Private Clusters
Run your most sensitive workloads on dedicated, isolated infrastructure.
Your data and prompts never touch shared infrastructure, never leave your boundary, and are never retained.
Dedicated single-tenant clusters
Isolated GPU capacity in your VPC, on-premise, or fully air-gapped.
Zero retention, built-in compliance
Review retention, tenancy, and regional deployment options with our team.
Your own weights and agents
Fine-tunes, open weights, and dataset generation inside your boundary.
Contracted capacity, full audit
Reserved throughput, SSO, scoped keys, and request trails.
06:00
Util served
69%
Available
82%
Headroom
13 pts
Contention risk medium
All the AI you need
Every modality, behind one unified API.
Frontier and open-weight models across six modalities. Switch with a single string, never re-integrate.
Language & reasoning
Frontier reasoning and coding models for complex agent workflows.
Vision & multimodal
Document and image understanding for extraction and captioning.
Image generation
High-fidelity text-to-image and editing for creative pipelines.
Video generation
Text- and image-to-video for generation and benchmark suites.
Audio & speech
Transcription, text-to-speech, and audio understanding at scale.
Embeddings & rerank
Retrieval-grade embeddings and rerankers for search and RAG.
One integration, zero lock-in
Swap any workload
Swap any workload
with a single line.
Inferel speaks the OpenAI-compatible API you already use. New base URL, new key, same code.
- Works with your existing SDKs and agent frameworks
- Scales from a single agent request to a million-row batch
- Shows usage, latency, and spend on every call
inferel_quickstart.py
Customer story
Illoca empowers designers with their AI agentic tools for 2D drafting and 3D modeling.
Running on Inferel's platform delivers real-time generative 3D modeling workloads with:
−55%lower latency for
interactive workflows
interactive workflows
−60%lower training inference costs
through optimized scaling
through optimized scaling
−99.9%uptime for production
reliability
reliability
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