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Platform Overview

Squid AI makes it possible to for teams to have AI agents that are safe, accurate, and aligned with their business workflows.

By connecting to existing data and systems, supporting secure deployment options, and providing rapid time-to-value, the platform enables organizations to adopt AI confidently while ensuring they remain in complete control of their data and processes.

Your Journey with Squid AI​

At a high level, using Squid AI follows a natural five-step progression from connection to automation.

1. Connect your data​

Link to the systems you already use — databases, cloud apps, or on-premises tools. The platform supports both structured data like tables and APIs, as well as unstructured content such as documents and PDFs. Importantly, your data stays where it is; Squid simply creates secure connections without requiring migration.

2. Build your first agent​

In Agent Studio, define what your agent should do: which data connector it should access, how it should respond, and any actions it's permitted to take. The no-code, plain language interface makes this accessible to business users, while technical teams can extend capabilities as needed.

3. Ask and explore​

Once your agent is configured, employees can interact with it using everyday language. For example, "Show me average resolution times by support tier for last quarter." Squid automatically translates this request into the appropriate database query, runs it in real time, and returns results along with an explanation of how the answer was derived.

4. Automate real tasks​

As your comfort with the platform grows, agents can handle increasingly complex automation tasks, from creating and updating support tickets to chaining multi-step workflows (research a topic, create a PDF summary, and email it to recipients). Agents evolve from helpful assistants into being integral parts of your daily operations.

5. Deploy with confidence​

Finally, deploy agents with confidence knowing they'll run reliably in whatever environment meets your IT and compliance requirements: public cloud, hybrid setups, or fully on-premises infrastructure.

Platform Capabilities​

Under the hood, Squid AI provides the flexibility and robustness enterprises need for long-term agentic AI adoption:

Squid AI Agent Platform

  • Model flexibility: Squid AI provides access to leading large language models while supporting bring-your-own and custom models. Organizations can match the right model to each task (e.g., analysis, summarization), maintain resiliency and service continuity if any provider experiences issues, and retain full control over their AI technology choices.

  • Semantic layer for data: The business translation layer ensures that queries are accurate and that business definitions remain consistent across teams, regardless of how underlying data is structured.

  • Intelligent retrieval: A vector database, semantic search, and ranking system ensure that answers are always grounded in your company's actual data and ranked by relevance.

  • Universal data coverage: Squid works universally across both structured data sources like databases and APIs, and unstructured content such as documents and PDFs, scaling to handle enterprise volumes without performance degradation.

  • Governance tools: Comprehensive governance tools provide monitoring, audit logging, and compliance certifications including SOC 2 Type II and ISO 27001.

  • Responsible AI by default: The platform maintains responsible AI principles by default, ensuring data is never used to train models without consent and providing configurable retention and deletion options that keep organizations in full control.

  • Customizable logic: Allows for implementation of business rules, approval workflows, scheduling, rate limiting, and other organizational requirements.