Decision making 2026 Rank: #2051

Dedoctive ✓

Auditable AI for defensible decisions

Source rating 5.0 (1) 847 views 6 saves Freemium
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Verdict

A quick read before you dig into the full page.

Best if
Auditable AI for defensible decisions
Skip if
Possibly complex workflow creation
Pick this when
Builds trustworthy decision-making systems

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Overview

Dedoctive provides auditable AI for defensible decisions. It grounds outputs in trusted evidence, provides full source-level provenance, and governs workflows with human-in-the-loop guardrails.

Dedoctive turns complex documents, data, tables and images into verified, source-linked knowledge. It then lets teams build governed AI workflows with human-in-the-loop guardrails where every answer is grounded in validated sources, every step can be inspected, and every statement links back to its evidence. This makes AI outputs usable, checkable, and defensible in settings where generic AI tools are not enough.

Dedoctive is a neuro-symbolic AI platform combining curated knowledge models, controlled BPMN workflows, full provenance links, Response Maps, multi-format ingestion, custom reports, and formal diagrams. It works with large language models without requiring model training, while giving organisations greater control over what the AI uses, how it reasons, and how outputs are verified.

Dedoctive is designed for assurance, safety, compliance, risk, healthcare, supply chains, public-sector decision-making, and other document-heavy environments. Domain-specific products built on the platform include Safety Navigator, RouteMAIT, Crisis Navigator, Retrofit Navigator, Green Skills Navigator, Wellness Navigator, Adaptation Navigator, Healthcare Navigator, and Place Navigator.

Unlike generic AI tools, Dedoctive brings together validated knowledge, granular provenance, and governed workflows with human-in-the-loop guardrails so teams can make faster use of complex information without losing accountability. It is available for enterprise deployments, micro-pilots, and partner-led projects.

Typical users: Teams focused on assurance, compliance, safety, risk, digital transformation, and enterprise AI who need AI-supported decisions to be traceable, reviewable, and defensible.

Key features:
Curated knowledge models
Complete, detailed provenance links
Response Maps
Governed BPMN workflows with human-in-the-loop guardrails
Multi-format document and data ingestion
Custom reports and formal diagrams
Neuro-symbolic AI platform
Works with all LLMs without training

Key benefits: Unlike generic AI tools, Dedoctive combines validated knowledge, granular provenance, and governed workflows with human-in-the-loop guardrails so outputs can be controlled, checked, and defended.
  • Curated Knowledge Models
  • Complete, Detailed Provenance Links
  • Response Maps
  • Governed Bpmn Workflows With Human-in-the-loop Guardrails
  • Multi-format Document And Data Ingestion
  • Custom Reports And Formal Diagrams
  • Neuro-symbolic Ai Platform
  • Works With All Llms Without Training
Dedoctive website

Access & connections

Where you can use Dedoctive, and what it plugs into.

Platforms

Web

Integrations

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • 3D
  • Code
  • Tabular
  • Image
  • Text
  • Video
  • Geo
  • Audio

Output

  • Geo
  • Code
  • Audio
  • Video
  • Tabular
  • API
  • Text
  • Image

Highlights

  • Agents
  • API
  • MCP
  • Local

Supported features

  • Agents
  • API
  • MCP
  • Runs Locally
  • Education
  • Finance & Accounting
  • Integrations

Pros & cons

Pros

  • Builds trustworthy decision-making systems
  • Provides source-level provenance
  • Explicit data traceability
  • Overlays any Large Language Model
  • Curated knowledge models
  • Granular provenance hyperlinks
  • Visually designed hybrid workflows
  • Comprehensive response scenarios
Show 21 more
  • Deep linked data items
  • Verified knowledge sources
  • Private cloud deployments
  • Provides on-premises solutions
  • Incorporates best practice security
  • Automated redaction mechanisms
  • Human-in-the-loop safeguards
  • Controlled reasoning capabilities
  • BPMN compliant workflows
  • Avoids misleading information
  • Tailored for problem-solving scenarios
  • Multi-step workflows
  • Interconnects related information
  • Direct hyperlinks to sources
  • Transparent, compliant processes
  • Enterprise-friendly deployment models
  • Prevents data hallucination
  • Free IDE for workflows
  • Complete data quality assurance
  • Certified with Cyber Essentials
  • Unable to generate inaccurate responses

Cons

  • Requires curated knowledge models
  • Possibly complex workflow creation
  • Relies heavily on source traceability
  • Non-intuitive for basic users
  • No support for unsourced data
  • Depends on expert-verified sources
  • No hallucination ability limits creativity
  • Limited use without reliable data
Show 2 more
  • Potentially slower due to traceability requirements
  • Security limited to known protocols

Compare alternatives

Similar tools in the catalog.

Releases 1

Initial release June 4, 2026 Current
Initial release of Dedoctive.

FAQ 12

What is the main purpose of Dedoctive?
The main purpose of Dedoctive is to build trustworthy and defensible decision-making systems. It focuses on ensuring the reliability of AI-powered solutions by grounding their outputs in trusted evidence and governed workflows, providing comprehensive source-level provenance.
What are the key features of Dedoctive?
The key features of Dedoctive include: auditable AI workflows, provenance tracking, human-in-the-loop safeguards, data traceability, curated knowledge models, granular provenance hyperlinks, transparent processes, automated redaction mechanisms, verified knowledge, controlled reasoning, deep linked data items, private cloud deployments, security protocols, data protection, and on-premises deployment.
How does Dedoctive ensure the reliability of AI-powered solutions?
Dedoctive ensures reliability of AI-powered solutions by grounding their outputs in trusted evidence and governed workflows. It overlays any Large Language Model to yield highly reliable outputs with detailed traceability back to the original data. It utilizes curated knowledge models to assure responses drawn solely from validated information.
What is meant by 'human-in-the-loop safeguards' in the context of Dedoctive?
'Human-in-the-loop safeguards' in the context of Dedoctive refers to the implementation of checks and measures in the AI workflows that require human intervention or approval. This hybrid approach ensures automation efficiency while maintaining human oversight for critical decision-making aspects.
How does Dedoctive implement traceability back to original sources?
Dedoctive implements traceability back to original sources by providing granular provenance hyperlinks. These links help trace every source, potentially to individual table cells or image background text. Hence, every output can be traced back and verified from its original source.
How does Dedoctive utilize curated knowledge models?
Dedoctive utilizes curated knowledge models by ensuring that responses are drawn only from validated information. This process involves curating knowledge from reliable sources to provide definitive and accurate responses.
Can Dedoctive provide provenance hyperlinks to individual table cells or image background text?
Yes, Dedoctive can provide provenance hyperlinks to individual table cells or image background text. It gives granular level traceability to every piece of information it uses to formulate responses.
How does Dedoctive ensure transparency and compliance in its processes?
Dedoctive ensures transparency and compliance in its processes by optimally combining AI reasoning within visually designed, compliant processes. It uses hybrid workflows that embed AI reasoning within transparent processes.
What kind of solutions does Dedoctive provide to find and extract relevant knowledge?
Dedoctive provides comprehensive scenarios in finding solutions, identifying deeply linked data items, and extracting the most relevant knowledge to answer queries. It uses workflows created by human experts and can identify deep connections linking information items, even those that seem unrelated.
How does Dedoctive ensure the accuracy of the information it presents?
Dedoctive ensures the accuracy of the information it presents by basing all responses on expert-verified sources. It provides only the knowledge most relevant to the question from verified, reliable sources and if no answer is available, Dedoctive explicitly states so.
What security protocols does Dedoctive use to assure data safety?
Dedoctive uses best practice security protocols to protect user information and ensure confidentiality. It's certified with Cyber Essentials, demonstrating its commitment to cybersecurity.
Does Dedoctive offer on-premises and private cloud deployments?
Yes, Dedoctive does offer on-premises and private cloud deployments. These provide more control over data and processes, while ensuring data safety.
Dedoctive Free