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AURA — AI Agent Builder

No-code AI agent builder for reliable business chatbots and workflows

AURA helps teams create chatbots and AI agents without writing code. It can use offline LLMs, dedicated local knowledge and controlled business data to reduce hallucination and deliver grounded answers.

AURA AI Agent Builder
Key Capabilities

Make AI agent building practical for real teams

Build, ground and deploy AI assistants without code — with controls that keep answers reliable.

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No-Code Builder

Configure agents, workflows and rules without engineering

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Offline LLM Ready

Run cloud or local/offline models for privacy and cost control

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Local Knowledge

Connect files, FAQs, SOPs, catalogues and internal docs

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Grounded Results

Guardrails, source-aware answers and human handoff

Why AURA

Reliable AI assistants, without the engineering overhead

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Build

Build without code

Create AI assistants through configuration, knowledge upload, visual workflow design, agent rules, guardrails and channel deployment.

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Private

Use private knowledge

Connect local files, FAQs, internal documents, SOPs, product catalogues, URLs and domain-specific knowledge bases.

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Reliable

Reduce hallucination

Ground answers in approved sources, add fallback rules, show source-aware responses and route uncertain queries to human review.

Product Working Model

How AURA works in real life

A practical operating system: it takes inputs, applies AI intelligence, converts output into action and tracks measurable progress.

Knowledge Layer

Business teams add approved documents, FAQs, policies, product information, SOPs, URLs and internal content.

Model Layer

AURA can route queries to cloud LLMs or offline/local LLMs depending on privacy, cost and deployment requirements.

Agent Layer

The no-code builder defines agent behaviour, rules, tools, workflows, channels, fallback actions and human handoff logic.

Deployment Layer

Embed the assistant in a website, CRM, internal portal, training platform, support system or private enterprise environment.

Agent Workflow

From knowledge to deployed AI assistant

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Add Knowledge

Upload documents, FAQs, databases, website content, product manuals and business rules.

02

Configure Agent

Select offline or cloud LLM mode, tone, permissions, retrieval settings, tools, fallback logic and approval rules.

03

Test Answers

Validate responses against dedicated knowledge and tune prompts, guardrails, citations and retrieval behaviour.

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Deploy & Monitor

Publish to website, internal portal, CRM or helpdesk and monitor answer quality and usage.

AURA makes AI agent building practical for real teams

Ideal for customer support, internal knowledge assistants, sales enablement, HR helpdesks, education assistants and business operations.