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Description
Dedoctive delivers auditable AI solutions that facilitate defensible decision-making by anchoring results in reliable evidence and offering comprehensive source-level provenance, while also managing workflows with human oversight.
This innovative platform transforms intricate documents, data, tables, and images into trusted, source-linked knowledge, enabling teams to construct AI workflows governed by human-in-the-loop safeguards, ensuring that every response is based on verified sources, every process is transparent, and every assertion can be traced back to its origins. As a result, the outputs generated by AI are not only applicable and verifiable but also defensible in environments where conventional AI tools fall short.
Dedoctive is a neuro-symbolic AI platform that integrates curated knowledge models and controlled BPMN workflows, providing complete provenance links, Response Maps, multi-format data ingestion, tailored reports, and formal diagrams. It operates in conjunction with large language models without the need for additional model training, empowering organizations with enhanced control over the information the AI utilizes, the reasoning processes it employs, and the methods through which outputs are validated. Furthermore, this capability allows for a more robust and reliable application of AI across various domains.
Description
Agent Builder is a component of OpenAI’s suite designed for creating agentic applications, which are systems that leverage large language models to autonomously carry out multi-step tasks while incorporating governance, tool integration, memory, orchestration, and observability features. This platform provides a flexible collection of components—such as models, tools, memory/state, guardrails, and workflow orchestration—which developers can piece together to create agents that determine the appropriate moments to utilize a tool, take action, or pause and transfer control. Additionally, OpenAI has introduced a new Responses API that merges chat functions with integrated tool usage, alongside an Agents SDK available in Python and JS/TS that simplifies the control loop, enforces guardrails (validations on inputs and outputs), manages agent handoffs, oversees session management, and tracks agent activities. Furthermore, agents can be enhanced with various built-in tools, including web search, file search, or computer functionalities, as well as custom function-calling tools, allowing for a diverse range of operational capabilities. Overall, this comprehensive ecosystem empowers developers to craft sophisticated applications that can adapt and respond to user needs with remarkable efficiency.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AgentKit
ChatKit
JavaScript
Model Context Protocol (MCP)
OpenAI
PydanticAI
Python
TypeScript
Zapier
Integrations
AgentKit
ChatKit
JavaScript
Model Context Protocol (MCP)
OpenAI
PydanticAI
Python
TypeScript
Zapier
Pricing Details
Free micro-pilot
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Collaboration Tools Ltd
Founded
2008
Country
United Kingdom
Website
dedoctive.ai/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
platform.openai.com/docs/guides/agent-builder