Introduction
The aiXplain platform is a unified, end-to-end environment for building, deploying and managing intelligent AI agents—without needing deep AI expertise. It combines modular architecture, a rich asset marketplace, and integrated tools to help you move from prototype to production with speed and confidence.
Agents on aiXplain are powered by built-in capabilities like planning, reflection, memory, and guardrails, scaling from simple rule-based pipelines to fully autonomous, multi-agent systems. Whether you're iterating quickly or deploying in production, you maintain full control over every component of your solution.
Why aiXplain?
Here's what sets aiXplain apart as a platform for building and deploying intelligent agents:
- Rapid execution – Develop, test, and deploy agents in minutes with minimal setup.
- Unified access – Access 38,000+ AI assets and 170+ LLMs through a standardized interface that enables seamless model swapping.
- One API key, pay-as-you-go – Simplified billing with a single API key and usage-based pricing.
- Reusable solutions – Agents are reusable building blocks—you can create, update, and integrate them across agents without starting from scratch.
- Asset routing – Maintain uninterrupted service with dynamic routing based on user criteria.
- Integrated AI services – Ground, fine-tune, and benchmark models to match your use case.
- One-click publishing – Deploy agents as OpenAI-compatible APIs instantly.
- Flexible deployment – Deploy to cloud, on-prem, dedicated instances, or hybrid environments.
- Enterprise-grade security – SOC 2 Type I compliant. Data is encrypted at rest and in transit, never stored or used for training. Full access to API logs and agent sessions.
aiXplain agentic framework
aiXplain’s agentic framework lets you build intelligent, modular AI systems that reason, plan, and act—powered by LLMs, tools, memory, and built-in trust mechanisms. It supports single-agent, multi-agent, and pipeline-based architectures—each optimized for different types of AI-driven tasks.
Agents are enhanced by specialized agents, which handle planning, validation, orchestration, security, and self-healing—making production readiness part of the foundation.
Choose the right architecture for your use case:
- Agent – for focused, autonomous tasks that may involve natural language understanding or trusted information retrieval
- Team agent – for complex, multi-step tasks requiring planning, validation, or collaboration across roles
- Pipeline – for deterministic, repeatable logic where strict task sequencing is essential
All architectures support conversational interfaces and natural language interaction.
Learn more about the aiXplain agentic framework →
Marketplace
Access over 38,000 AI assets from 50+ providers, including both proprietary and open-source models. These assets span:
- 170+ LLMs – Multimodal and multilingual, all standardized for seamless swapping within agents
- 50+ supported functions – Including embedding, speech, vision, translation, and text processing
- Utilities and integrations – Tools like Google Search, Weather API, and Places API (more integrations coming soon)
- Guardrails (coming soon) – Reusable components for policy enforcement, content filtering, and safety controls
- Built-in comparison tools – Evaluate models by performance, cost, and latency
- Plug-and-play integration – Use any asset in agents without custom wrappers or rework
- No vendor lock-in – Bring your own assets or run in your own cloud (coming soon)
AI services
Adapt and evaluate your AI components using a suite of integrated services:
| Service | Description |
|---|---|
| Listing | Access and manage assets from the marketplace |
| Routing (coming soon) | Dynamically route requests to the most suitable asset |
| Fine-tuning | Customize LLMs for your domain or task-specific requirements |
| Benchmarking | Compare models on cost, latency, and quality |
| Indexing | Create vector databases for retrieval-augmented generation (RAG) |
Reliability and usage control
aiXplain supports configurable rate limits and usage quotas to help you manage resource consumption, protect against abuse, and ensure predictable performance in production environments.
- Apply rate limits per aiXplain team, per API key, or per agent
- Set usage quotas to control cost and access
Learn more about rate and usage limiting →
Deployment and security
aiXplain supports flexible deployment options—including multi-tenant cloud, dedicated infrastructure, private cloud, and on-prem environments. Agents are containerized, allowing deployment to any infrastructure you control. We also offer a hybrid option that enables containerized agents to securely access marketplace assets while running within your own system.
All data is encrypted at rest and in transit, and never used for training. You can configure guardrails for safety and compliance, and use agent logs (coming soon) to track execution for debugging and auditing.
For custom deployment options, reach out to care@aixplain.com.
Learn more about aiXplain’s security →
Pricing
aiXplain uses a transparent, usage-based pricing model:
- 1 aiXplain credit = $1 USD (enough to make 1,500 API calls to a model like GPT4-o Mini)
- Pay via Google Pay or credit card (Stripe)
- Direct asset usage is charged at vendor-listed rates—no markup
- Deployed solutions (agents, pipelines) include a 20% service fee on total asset usage
- Business subscriptions available with advanced features, SLAs, and volume pricing
Getting started
Start building with aiXplain in three steps:
- Generate your API key
- Build and deploy your first agent
- Explore example agents and templates for inspiration
- Join our Discord community to share ideas and report issues