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A free micro-pilot is offered for one document-heavy decision process where evidence quality and traceability matter. The Developer Edition IDE is also free to download.
Learn moreNeuro-symbolic AI workflows with source-level provenance

Dedoctive is a UK-built neuro-symbolic AI platform that wraps any LLM in curated knowledge, BPMN workflows and source-level provenance links, aimed at organisations needing auditable, defensible AI decisions.
Dedoctive is a neuro-symbolic AI platform aimed at organisations where every decision has to be backed by evidence that can be checked. Rather than replacing a language model, it wraps one, and it works with any Large Language Model. Answers are assembled from curated knowledge models and multi-step workflows authored by human experts, so the output stays tied to validated information instead of whatever the model happens to recall. The central idea is provenance. Each part of an answer carries hyperlinks into expert-verified sources, and those links can land on very specific details, such as an individual table cell or background content inside an image. Users can then follow related information, and interactive visuals let them analyse an argument and explore its context. The site states that when no answer is available, the system says so, and it claims the platform cannot hallucinate. In practice, workflows are designed visually in BPMN, which places AI reasoning inside processes that are transparent and compliant. Knowledge models are built to meet the GOV.UK Data Quality Dimensions: correct, complete, consistent, current, concise and checkable. Developers can use Dedoctive Developer Edition, a free IDE for building, debugging and deploying open-standard workflows that combine agentic and deterministic processing, with an official video tutorial series. Named products on the site include the Safety Navigator and Retrofit Navigator, with demo and explainer videos. The platform is described as UK sovereign technology, developed with support from the MoD, Innovate UK and UK charitable funding, with no dependency on proprietary software. Security measures include Cyber Essentials certification, plus on-premises or private cloud deployment and automated redaction so nothing is sent openly to cloud services. Dedoctive suits regulated, document-heavy settings such as defence, safety and training, where traceability matters more than conversational flexibility. It sits apart from general chat assistants and no-code agent builders by putting auditability first. Access is through enterprise deployments, micro-pilots and partner-led projects, so it is a sales-led engagement rather than a self-serve app.



A free micro-pilot is offered for one document-heavy decision process where evidence quality and traceability matter. The Developer Edition IDE is also free to download.
Learn moreNo pricing is published. Dedoctive is offered through enterprise deployments, micro-pilots and partner-led projects, and the Developer Edition IDE is free.
Learn moreSupport is handled by email to the team, with demo videos, explainer videos and an official tutorial series for Developer Edition. Private cloud and on-premises options are available.
Works with any Large Language Model, follows open standards such as BPMN, and has no dependency on proprietary software. No specific third-party integrations are listed.
Curated knowledge models, granular provenance hyperlinks down to table cells and image details, visual BPMN hybrid workflows, interactive visuals for exploring arguments, any-LLM support, and a free Developer Edition IDE.
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