Create and run AI-assistants without tech support

Your data already has the insights, Aeldris connects to your data and helps you create AI assistants in minutes

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Central orchestration for all assistants

The Aeldris Console

Build

Create AI-assistants in minutes

Add files or connect to Drive, website, or links

Preview results with sources before publishing

Monitor

Real-time dashboard for tracking usage and intent

Spot content gaps as you monitor conversations

Guardrails come pre-set, add more anytime

Control

Manage access, visibility, and who can edit your assistant

Invite teammates to co-manage behavior and data

Limit access to specific data or topics

Conversational Assistant

Guide tasks through dialogue

With an assistant that,

Follows multi-step interactions

Uses only your internal data for responses

Has built-in guardrails to keep outputs safe

Logs every exchange in the console for review

Create Assistant

Semantic Search

Turn content into answers

With a search assistant who,

Understands intent behind plain questions

Finds the right information across files, docs, and systems

Surfaces context and related results, not just keyword matches

Updates results automatically when sources change

Create Assistant

Document Analyst

Turn documents into structured knowledge

With an analyst who,

Extracts data from PDFs, tables, and images

Summarizes reports into clear outputs

Spots risks in large document sets

Exports structured insights for reporting

Create an Analyst

A few things we care about

AI for good. AI should be used to solve real-world problems, promote fairness, and improve lives. From addressing accessibility challenges to reducing inequalities, AI can create a positive social impact when implemented responsibly

Human-in-loop. AI works best when combined with human oversight. Including people in critical steps ensures accuracy, improves decision-making, and keeps the system aligned with real-world needs

Adapting to context. AI should continuously learn and adjust based on new data, changing user behaviors, and evolving business needs. This ensures it remains relevant, effective, and aligned with the context in which it operates

Ethics first. Ethical AI means being fair, transparent, secure and private. It involves spotting and reducing biases in systems and making decisions that users can trust. Accountability at every stage builds long-term reliability in AI solutions