Build AI assistants for your team’s knowledge

Create semantic search, conversational, and document assistants inside a secure console. Deploy them to HR, Marketing, Operations, or Compliance, with full control and oversight

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Semantic Search

Build search agents that return answers, not links

Set up semantic search agents that interpret natural language, follow context across turns, and surface precise answers from your content.

Handle complex and ambiguous queries

Maintain context across follow-ups

Retrieve results from fragmented systems

Stay updated as content changes

Semantic search agents learn what matters, skip what doesn’t, and respond with precision, even as user intent changes

Build a Search Assistant

Conversational AI

Create assistants that hold multi-step dialogue

Design conversational agents that respond to your content only. Apply guardrails, preview their responses, and track every exchange in the console.

Configure assistants with guided setup flows

Ground answers in internal data only

Apply guardrails for accuracy and safety

Monitor conversations with audit logs

Listens like your best agent, speaks in your voice, and keeps pace, no matter how the conversation unfolds

Build a Conversational Assistant

Document Analysis

Turn documents into structured knowledge

Deploy agents that scan PDFs, tables, and images to extract insights. Reduce hours of manual review and track findings in dashboards.

Cut review cycles from hours to minutes

Minimize error in data extraction

Spot risks hidden in large document sets

Export structured insights for reporting

Understands like an analyst, responds like a teammate, delivers like it’s built for your work

Build a Document Assistant

Control data before and after deployment

The Aeldris Console

Build assistants step by step in minutes

Configure search, chat, or document agents

Preview results instantly before deployment

Deploy across teams without IT setup

Dashboards for real-time visibility

Track adoption across teams and functions

Identify top queries and gaps in knowledge

Export insights for audits and reviews

Analytics with full control

Assign roles and manage permissions

Keep an audit trail of responses

Retrain assistants with team feedback

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