The Agentic AI Layer for your SaaS

Modular, security-conscious platform to embed intelligent AI directly into SaaS dashboards. Built for analytics platforms with flexible model choices, rigorous context handling, and deployment options that match your compliance posture.

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Building AI is hard work

Flexible model selection for cost, latency, and compliance optimization.

Drag-and-drop builder for defining intents, prompts, and RAG sources.

Compose specialized agents into ordered processing chains.

Standardized context packaging for consistent cross-vendor behavior.

Multi-component retrieval system with vector stores and re-rankers.

Prebuilt React components and embeddable visualizations.

Doc-E helps you grow your AI quickly

CREATE AI AGENTS IN A FEW CLICKS

Drag-and-drop builder for defining intents, prompts, and RAG sources. 

CHAIN A MIXTURE OF AGENTS

Compose specialized agents into ordered processing chains.

CONNECT MCP SERVERS

Standardized context packaging for consistent cross-vendor behavior.

RAG API & SEARCH

Multi-component retrieval system with vector stores and re-rankers.

ANSWER TOUGH QUESTIONS

Use AI-powered knowledge and people experts to answer technical questions accurately. 

KEEP IT ON SLACK

Review and answer community questions directly inside your Slack workspace.

GENERATIVE UI & COMPONENTS

Prebuilt React components and embeddable visualizations.

PROVIDE 24/7 EXPERTISE 

Automate workflows for reviews and escalate questions to experts quickly.

CURB LLM HALLUCINATIONS

Continuously improve through supervised fine-tuning from user feedback and interactions

Empower your SaaS with Agentic AI

Address Community Needs

Create nuanced content with a few clicks including technical blogs, developer guides, use cases, custom templates and more.
Dropdown menu showing various document and blog options, with 'Blog: Community Knowledge Sharing' selected
Answer support questions in real time, build your knowledge base, and deliver a stronger developer experience.
Screenshot of a draft answer in a Slack interface from Doc-E.ai, showing a question related to Elasticsearch, Java, and Lucene
Create nuanced content with a few clicks including technical blogs, developer guides, use cases, custom templates and more.
Message explaining how to use an Elasticsearch match_phrase query with an example: 'The cow jumped
Produce the content plan your community has been asking for, learn where they’re struggling, and how your product could be improved.
Doc-E app summary: Elasticsearch running in Shell (v5.6.16) but not connected to microservices, with no platform specified.
Understand exactly when community members are ready to become customers and take action.
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