Technical Benefits
Squid AI provides developers with comprehensive client and backend SDKs and a platform to build, test, and deploy AI agents and fullstack applications.
The platform offers a serverless hosting environment on all major cloud providers and on private clouds, built-in data connectors with database schema and API endpoint autodiscovery, and supports multiple LLMs, including custom models.
Additionally, Squid AI features robust security features and centralized audit logging for monitoring and compliance.
The Squid AI Platform
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A serverless, k8s-based hosting environment - Squid is infrastructure-agnostic and can be deployed on AWS, Google Cloud, Azure, and in private clouds. If you’re interested in taking Squid AI on-premises, please contact us.
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Comprehensive data connectors - Squid enables you to securely connect LLMs to structured and unstructured data in minutes. The platform provides database schema autodiscovery and automated API endpoint and methods mapping, handling all of the translation under the hood. It connects to both unstructured data (such as documents, files, and PDFs), structured data across multiple databases, data warehouses, REST and GraphQL APIs, and services like Slack, ServiceNow, Salesforce, and Google Drive. We're regularly adding our dozens of available connectors.
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A variety of LLM options - Squid makes it easy to integrate with all of the major LLMs, and makes it easy to switch as needed. LLMs offered on Squid AI are always API and enterprise versions that are never used to train models, so your data is always private.
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Powerful RAG functionality - Squid's RAG engine is a built-in real-time architecture that encompasses a vector database, embedding, chunking, and ranking using the latest algorithms and can be adjusted to meet your particular needs. Included is also a private semantic layer that can be automatically generated based on your data to enable accurate natural language querying.
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A business logic layer - Use Squid’s backend SDK to customize your agent’s behavior with executables, AI functions, rate and quota limiting, triggers, and schedulers.
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Advanced security - Protect your data from unauthorized access at all times. Squid integrates with your authentication provider of choice. It provides control access to your different entities, including AI agents, databases, backend functions, and APIs.
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Audit logs - Audit logs are in the console, and can be exported to NewRelic, DataDog, or your preferred observability platform as needed.
What would you like to do next?
Learn more about AI agents.
Learn about using Agent Studio to create AI agents without any code.
Explore AI agent use cases for ideas.