FAQs

What can I do on aiXplain?

On aiXplain, you can build and deploy agentic solutions, including autonomous agents, multi-agent systems, and pipelines (structured workflows). These solutions are powered by assets, which are the foundational building blocks available on aiXplain’s marketplace. With aiXplain services, you can ground, customize, and evaluate your assets and solutions to create scalable, high-quality AI-powered systems.

• Discover

  • Contains over 40,000 assets, including agents, pipelines, LLMs, AI models, utilities, and APIs.
  • Allows you to browse, try, and compare assets to find the best fit for your use case.

• FineTune - Customize leading LLMs to match your specific requirements.

• Benchmark: Evaluate LLMs and other AI models based on performance, cost, and efficiency.

• Index: Build a vector database to enable retrieval-augmented generation (RAG), one of the most powerful architectures for modern AI applications.

These capabilities are available via the SDK, with some also accessible through aiXplain Studio’s low/no-code tools. For further assistance, you can chat with Bel Esprit to help build solutions, select the right assets, or provide architecture recommendations to kickstart your project.

How do I start on aiXplain?

1. Register for an account—get free credits, no credit card required.
2. Create a team and add team members (optional).
3. Generate an API key to run aiXplain assets and services.
4. Check out the Getting started guide in the documentation to start building agentic solutions.
5. Find assets for your agent by visiting (Discover), the aiXplain marketplace.

Assets

What types of assets are available on aiXplain?

aiXplain’s marketplace offers over 40K assets, including AI models, utilities, metrics, agents, pipelines, indexes, datasets and files. You can find a wide range of AI models such as large language models, image generation, speech recognition, speech synthesis, text analysis, object recognition, and many more. Utilities are ideal for adding data sources and API services to your agents. Currently, aiXplain features over 50 vendors and hosts, offering both open and closed-source assets.

Can I onboard my own assets to aiXplain?

Yes, you can onboard your own models, utilities and data to aiXplain, either as private assets (soon as public assets with the opportunity to monetize). Additionally, if you notice an asset missing from our marketplace, we can onboard it on demand, at no cost.

Can I integrate or access any external vector databases with aiXplain?

You can create a Qdrant vector database using aiXplain’s Index service (aiR), which is automatically hosted on aiXplain. To integrate an external vector database, you can connect it via a custom tool in agents or a script node in pipelines for seamless interaction.

Can I integrate or access any external SQL databases with aiXplain?

You can upload SQLite files to aiXplain for direct use in your agents. For full SQL database integration, you can connect to external databases (e.g., PostgreSQL, MySQL) using a custom tool in agents or a script node in pipelines, enabling seamless data access and interaction.

Pricing

What is aiXplain’s pricing model?

Payments are made using aiXplain credits, where 1 credit = $1. We accept Google Pay and credit card payments via Stripe.

aiXplain’s pricing is usage-based, based on data volume, with asset costs matching vendor prices and no additional fees for direct asset calls. When assets are used in deployed solutions, such as agents or pipelines, a 20% service fee is added to the total cost. For businesses we provide subscription models and advanced features.

Can I transfer credits from my personal account to my team?

No, you cannot transfer credits on your own. However, you can reach out to aiXplain Support at care@aixplain.com for assistance.

Teams and role-base access

What features are available to teams on aiXplain?

Teams on aiXplain have access to dedicated storage (5 GB per team), can include an unlimited number of members, manage private assets, and create up to 10 active API keys. Each team has its own separate wallet for billing, and team assets are private by default, accessible only through the team's member API keys.

Teams can also monitor full transaction details, including data volume, API calls, and costs. Additionally, they can control rate limits and usage restrictions per API key, ensuring optimized resource management and cost control.

Does aiXplain have role-based permissions?

Yes, aiXplain provides role-based access control (RBAC) to manage team collaboration effectively.

Permission	Member	Admin	Owner
Create and manage assets	✅	✅	✅
Invite and remove members	❌	✅	✅
Set usage and rate limits	❌	✅	✅
Handle billing	❌	✅	✅
Transfer ownership	❌	❌	✅

Deployment

Where can I deploy my assets (agents, pipelines, models, etc.)?

aiXplain assets run on the cloud. When you create a new asset, e.g., agent, pipeline, or fine-tune a model, it is automatically deployed to aiXplain’s multitetnt cloud (AWS by default), and an inference API is generated for direct access.

For businesses, aiXplain offers enterprise-grade deployment options, including:

• Dedicated instances with private networking and managed services, ensuring optimal performance and security.
• On-premise/private cloud deployment with full control over infrastructure, compliance, and networking.

Will aiXplain scale if my app explodes?

aiXplain is built on a scalable infrastructure and can handle millions of requests per minute with very high concurrency.

Integration and monitoring

What integration methods does aiXplain offer?

aiXplain supports integration via API (CURL, Python, JavaScript), SDKs (Python, JavaScript, Swift), and OpenAI API for select models. You can also integrate any external service or data source as a tool inside agents and pipelines using simple Python code, making your solutions highly adaptable and extensible. You can also integrate aiXplain endpoints into automation tools like Zapier.

How can I monitor my aiXplain endpoints?

You can monitor your aiXplain endpoints through built-in telemetry stats available for every API call. These include success status, duration, cost, and data size for both input and output.

Team transactions provide an overview of all successful API calls, including key details such as data size, cost, asset ID, in a given timeframe. This allows teams to track usage, analyze spending and revenue.

Security, privacy and compliance

At aiXplain, trust is our foundation, ensuring flexible, secure, and compliant AI deployment with full data control. Built with industry-leading encryption, secure architecture, and compliance measures, our platform guarantees data privacy, no training on user data, and complete operational confidence for businesses and developers.

Data security and privacy

Your data is yours. aiXplain follows strict data security protocols to ensure confidentiality, integrity, and compliance with enterprise standards.

Your Data, Your Control.

aiXplain does not store, log, or use your prompts or responses for model training. Fine-tuned and customized models remain fully private and are never shared with third parties. You can opt-out of agent session storage or route the data directly to your own database.

Flexible and secure deployment

aiXplain provides deployment flexibility to meet your security, compliance, and performance needs:

Multi-tenant cloud (default)

AI models and agents are securely deployed in aiXplain’s multi-tenant cloud on AWS, abstracting the complexity of managing compute resources, while maintaining security, scalability, and global availability.

Dedicated infrastructure

Choose reserved compute instances for isolated, high-performance deployments.

Private cloud/on-premises deployment

Deploy aiXplain's AI stack in your own private cloud or on-premises for full control over data residency and compliance.

Whether you need a fully managed AI service or a private AI environment, aiXplain adapts to your business needs.

Proximity deployment

To meet regional compliance and performance needs, aiXplain partners with Azure, GCP, Oracle, NVIDIA, and others to enable proximity deployment, ensuring low latency, high performance, and data sovereignty. Businesses can deploy AI models closer to their operations, whether in KSA, UAE, or other regions, while maintaining security and regulatory compliance.

Secure AI architecture & connectivity

Secure by design

All data is encrypted in transit (TLS 1.2 minimum) and at rest using industry-leading security standards to ensure confidentiality and integrity. Granular API monitoring provides full visibility into AI usage for both your organization and customers—without requiring an external cloud account.

Maximum performance meets security

For customers needing high-performance, secure, and isolated deployments, aiXplain offers dedicated instances with provisioned capacity, ensuring predictable performance, low latency, and enhanced security. On demand, aiXplain provides dedicated VPNs for these instances or other infrastructure, enabling private, secure access without internet exposure.

Compliance and governance

aiXplain is designed for businesses that require strict compliance with industry standards, ensuring security, transparency, and governance in AI operations. The platform is SOC 2 Type I compliant (SOC 2 Type II certification by mid-2025). Audit and monitoring tools provide visibility and control over AI interactions, enabling organizations to maintain compliance and security. Additionally, compliance-aligned AI guardrails offer automated safeguards to meet regulatory requirements and prevent AI misuse, ensuring responsible and ethical AI deployment.

Where can I reach you?

We’re available all the time on Discord, or on our support email - care@aixplain.com.