Innoslate vs StrictDoc

Innoslate is a requirements management and model-based systems engineering platform for connecting requirements to architecture, risks, and verification work across a system’s lifecycle. It supports architecture modeling and simulation to examine performance, design tradeoffs, and executable system behavior. Listed AI tools cover requirements, test cases, translation, risk, summarization, text prompts, and image generation. Enterprise offers APIs and connectors for MATLAB, Simulink, CAD, and other tools, with deployment options including private and air-gapped environments as well as on-premise, GovCloud, and hybrid setups. The maker says Enterprise has been tested to scale to 10 million entities and 500 simultaneous users. Security features include role-based access, encryption in transit and at rest, and audit logging. A Cloud sandbox supports trial projects up to 500 entities, and its demo account has no time limit. Licenses include onboarding training and phone or email support. Academia is free for educators and students with a .edu account; Enterprise and Cloud pricing is by quote.

StrictDoc is open-source software for technical documentation and requirements management. It stores requirements and documentation as plain-text files that teams can version with Git, using SDoc or a Markdown dialect with traceability features. Requirements can link to source code, tests, and test reports, with navigation through a traceability graph. StrictDoc reports source-code coverage by requirement and generates diffs and changelogs between document-tree versions. Users can edit and review documents in a browser, IDE, or command-line workflow. Custom document grammars define project-specific fields and mandatory values. Exports include HTML and reStructuredText, with the latter feeding a Sphinx pipeline; PDF export is experimental. ReqIF import and export are experimental, and Excel XLS/XLSX and JSON are listed formats. A Python API supports extensions and engineering integrations. StrictDoc requires Python 3.10 or newer, runs a local web server, and offers pip and Docker installation paths. It is licensed under Apache License 2.0 and targets agile teams, safety- and security-critical projects, documentation teams, and university or research projects.