AI built for control
Flexible model integration and clear data boundaries
Flexible model and deployment options
Innoslate supports multiple AI models based on your environment. The LLM can be local or a secure option (Ask SAGE & Microsoft Azure OpenAI).
Built for secure and regulated environments
AI capabilities are designed to align with enterprise and government requirements. Organizations maintain control over how AI is deployed, what models are used, and how data is handled within their environment.
Made for your workflows
AI in Innoslate supports practical engineering tasks such as drafting requirements, improving documentation, and generating test cases.
Built-In AI
These capabilities are enhanced through SPEC Innovations’ use of natural language processing (NLP) tailored to engineering use cases. Innoslate and Sopatra utilize Natural Language Processing, which is performed entirely within the tool.
Frequently Asked Questions
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Is AI required to use Innoslate?
Generative AI is optional and can be enabled, configured, or excluded based on organizational requirements. Innoslate and Sopatra both use self-contained, internal Natural Language Processing (NLP). The NLP features can be used in air-gap environments.
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What AI models does Innoslate support?
Innoslate supports multiple model options, including externally hosted models and models deployed within controlled environments. Organizations can select models that meet their security and compliance requirements. The LLM can be local or a secure option (Ask SAGE & Microsoft Azure OpenAI).
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Can we use our own models?
Yes. Enterprise and government users can integrate and manage their own AI models within their infrastructure.
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Where is AI available?
AI is available in Innoslate Cloud. For enterprise and government deployments, AI is not pre-configured and must be integrated based on organizational requirements.
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How is data handled when using AI?
Customer data remains under organizational control. Data usage depends on how AI is configured and deployed, enabling organizations to define boundaries that align with their policies and compliance needs.
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Does SPEC Innovations train AI models on customer data?
AI usage and data handling follow defined policies and agreements. Organizations maintain control over how their data is used within AI workflows.
More resources
Collaborate seamlessly to accelerate innovation on a cloud platform that prioritizes safety, security, and compliance.
AI Use Cases Guide
Learn how to use AI for systems engineering and requirements management.
AI Policies in EULA
Terms governing AI usage, data handling, and platform responsibilities
Contact Support
See why we are rated "Best Support" by G2 in Systems Engineering Software. Talk to our experienced support staff.
On-Premise Deployment
Innoslate Enterprise is the on-premise version that gives you control of your data.