What will you build?

Deploy production-grade chatbots, customer support agents, and multilingual assistants with a single API call. Stream responses in real time with sub-200ms first-token latency. System prompts, multi-turn memory, and function calling work out of the box.

Power code completion, generation, refactoring, and debugging with top-tier open-source models. OpenAI-compatible endpoints drop into VS Code extensions, dev tools, or CI/CD pipelines with zero friction.

Build autonomous agents that chain tool calls, make decisions, and complete complex tasks end-to-end. Native support for structured outputs and multi-agent coordination. Works with LangChain, CrewAI, AutoGen, or your own stack.

Combine vector search with LLM generation to build enterprise knowledge assistants and semantic search engines. Reranking, embeddings, and context-window optimization included. Build a Perplexity-style experience in hours.

Access DeepSeek-R1, QwQ, and reasoning-optimized models for math, legal analysis, financial modeling, and multi-constraint planning. Toggle between thinking and non-thinking modes to balance depth vs. speed.

Run FLUX, Stable Diffusion, and other leading models on optimized infrastructure. Text-to-image, inpainting, image-to-image, and style transfer — all in one API. Fine-tune on your own assets for brand-consistent output at scale.

Send images and text in the same request. Extract data from receipts, parse diagrams, analyze screenshots, or build visual Q&A into your product. High-resolution input, structured JSON output, and leading vision-language models included.

Run Whisper and leading speech models for accurate transcription, meeting summarization, and voice interfaces. Multilingual, diarization-ready output, and per-minute pricing that scales with your usage.

Extract entities, classify documents, parse forms, and normalize messy data into clean typed JSON. No more regex-ing free-text outputs. Compatible with Pydantic, Zod, and JSON Schema natively.

Fine-tune open-source models on your proprietary data via API. Upload a dataset, kick off training, deploy to a dedicated endpoint. Supports LoRA, QLoRA, full-parameter tuning, and RLHF with data sovereignty guaranteed.

Submit large-scale generation jobs asynchronously for dataset annotation, bulk content generation, offline scoring, and pre-computation pipelines. Results delivered on your schedule, not ours.

Run automated evaluations with LLM-as-judge scoring, A/B model comparisons, and regression testing across versions. Track quality, latency, and cost per task. Integrate into CI/CD to catch regressions before they reach users.

Execute Python in a secure, isolated sandbox alongside model calls. Build data analysis agents, code interpreters, and dynamic computation workflows. Stateless execution with configurable timeouts and resource limits.

Dedicated instances with zero data retention, SOC 2 and HIPAA compliance, and bring-your-own-cloud options. Single-tenant GPU isolation, SLA-backed uptime, and global edge routing keep your workloads fast, private, and reliable.