Aira Intelligence

Aira Intelligence Suite Components

AiraAcademy

A comprehensive learning and development platform powered by Aira.

Core Features:

Automatically creates courses from documents.
Users can add or remove content and questions from courses.
Enables creation of visually rich and interactive training modules.
Courses can be organized by category and topic.
Tags like 'New', 'Important', or 'Featured' can be assigned to highlight training content.
Suitable for employees, field teams, and recruitment processes.
Ideal for educating customers about products or services.

Technical Capabilities:

AI Course Generator: Central platform for educational content production.
Topic-Based Content Development: Creates structured training modules from documents or user inputs.
Interactive Learning Experience: Allows students to ask Aira questions during training and receive contextual responses based on available resources.
Content Depth Control: Courses can be adapted from beginner to advanced levels depending on the target audience.
Visual Support: Content can be enriched with images, diagrams, and infographics.

Benefits:

Accelerates training and information distribution processes.
Reduces the cost of training operations.
Simplifies training for large and distributed teams.

Use Cases:

Continuous internal training and development programs
Rapid, mobile-friendly training modules for field teams
Product and technical training for customers
Reducing the workload of HR and training departments

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AiraCoder

An intelligent coding assistant that provides comprehensive support throughout the software development lifecycle.

AiraCoder is an AI-powered code development platform. Chat with the Aira AI assistant in natural language to write, analyze, and optimize code.

Features

Aira: Chat with the AI assistant in natural language, ask questions, and get guidance on coding.
AiraCoder: Write, refactor, and optimize code with an advanced AI coding assistant. Get intelligent suggestions.
Code Expert: In-depth AI-powered code analysis with Aira. Detect security vulnerabilities, performance issues, and code-quality problems.
AiraVisor: Code visualization with GraphRAG. Explore relationships with Full Graph, API View, Service View, and Business Flow modes.
Research Lab: Advanced code search, documentation browsing, and system analysis tools with Aira AI support.

Technical Features:

Code Refactoring: Transforms complex and hard-to-read code into clean, maintainable, and scalable structures.
Test Generation: Generates unit and integration test logic and analyzes existing test scenarios.
Debugging Help: Identifies bugs in code and provides guided explanations and solutions.
Code Standards Compliance: Verifies adherence to language conventions and team or company guidelines.
Git Integration: Manages branch, commit, and merge operations with AI support.
Repository Management: Simplifies version control with file, tag, and release management.

Use Cases:

Rapid prototyping and code development
Analyzing complex codebases
Team code review and collaboration
Optimizing CI/CD processes

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AiraMail

An enterprise email management assistant that integrates with email systems to automatically read, analyze, prioritize, route, and respond to communications.

Technical Features:

Automated Email Processing: Reads incoming emails, extracts key information, and triggers appropriate workflows.
Intelligent Routing: Automatically routes emails to the right person or department based on content analysis.
Smart Response Generation: Composes and sends contextual replies with approval workflows for sensitive communications.
Integration & Automation: Connects with CRM, ticketing, and business systems to create tasks, update records, and sync data.

Use Cases:

Automating customer support email workflows and ticket creation
Managing high-volume communication channels with intelligent triage
Streamlining inter-departmental email routing and delegation

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AiraWorkspace

A platform that processes uploaded documents to generate summaries and contextual responses.

Technical Features:

Content Summarization: Condenses documents of more than 100 pages into structured summaries.
Contextual Q&A: Answers user queries by referencing document content.
Sentiment and Intent Extraction: Interprets legal, contractual, or feedback documents to reveal hidden meanings.
Format Compatibility: Supports PDF, DOCX, TXT, HTML, and Markdown formats.

Use Cases:

Accelerated analysis of legal agreements
Summarizing technical documentation for internal distribution
Gaining insights from customer-facing materials

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AiraWorkspace Sample Use Cases

AiraDocs

A platform that processes uploaded documents to generate summaries and contextual responses.

Technical Features:

Content Summarization: Condenses documents of more than 100 pages into structured summaries.
Contextual Q&A: Answers user queries by referencing document content.
Sentiment and Intent Extraction: Interprets legal, contractual, or feedback documents to reveal hidden meanings.
Format Compatibility: Supports PDF, DOCX, TXT, HTML, and Markdown formats.

Use Cases:

Accelerated analysis of legal agreements
Summarizing technical documentation for internal distribution
Gaining insights from customer-facing materials

AiraHR

An HR assistant that manages employee policies, procedures, regulations, and HR documentation to streamline human resources operations.

Technical Features:

Content Summarization: Condenses documents of more than 100 pages into structured summaries.
Contextual Q&A: Answers user queries by referencing document content.
Sentiment and Intent Extraction: Interprets legal, contractual, or feedback documents to reveal hidden meanings.
Format Compatibility: Supports PDF, DOCX, TXT, HTML, and Markdown formats.

Use Cases:

Reducing HR workload with automated policy assistance
Ensuring compliance with labor regulations
Improving employee experience through instant policy access

AiraLegal

A legal assistant that processes laws, regulations, procedures, and legal documents to provide expert guidance and compliance support.

Technical Features:

Content Summarization: Condenses documents of more than 100 pages into structured summaries.
Contextual Q&A: Answers user queries by referencing document content.
Sentiment and Intent Extraction: Interprets legal, contractual, or feedback documents to reveal hidden meanings.
Format Compatibility: Supports PDF, DOCX, TXT, HTML, and Markdown formats.

Use Cases:

Ensuring regulatory compliance across departments
Accelerating contract review and legal assessment
Supporting legal teams with research and documentation

AiraSales

An intelligent sales assistant that analyzes customer data, sales records, and business documents to provide actionable insights.

Technical Features:

Content Summarization: Condenses documents of more than 100 pages into structured summaries.
Contextual Q&A: Answers user queries by referencing document content.
Sentiment and Intent Extraction: Interprets legal, contractual, or feedback documents to reveal hidden meanings.
Format Compatibility: Supports PDF, DOCX, TXT, HTML, and Markdown formats.

Use Cases:

Accelerating deal closure with data-driven recommendations
Identifying upsell and cross-sell opportunities
Generating customer insights from CRM documents

Features

AiraGPT

A general-purpose artificial intelligence assistant that provides intelligent solutions across departments.

Technical Features:

Feedback Processing: Analyzes user inputs to improve product development cycles.
Multilingual Support: Communicates in more than 20 languages including Turkish and English.
Task-Focused Operations: Understands user intent and assigns tasks to relevant modules.
Vector-Based Search: Matches relevant content using semantic similarity.

Use Cases:

Preparing email, social media content, or report drafts
Getting expert-level technical recommendations
Serving as a central command interface for workflows

AiraChat

A trained conversational assistant integrated with documents and knowledge sources.

Technical Features:

Q&A Infrastructure: Provides a question-and-answer interface for documents, training content, and previous conversations.
Continuous Learning: Learns from each new conversation to improve future responses.
Source Traceability: Shows references for its answers when needed.

Use Cases:

Acting as a virtual customer support representative
Serving as an internal corporate knowledge engine
Supporting students during training sessions

AiraContext

Maintains conversation and task continuity through long-term context awareness.

Technical Features:

Interaction History Tracking: Remembers user goals across sessions.
Topic Memory: Recalls conversation progress even in different chats.
Dialogue Segmentation: Breaks complex conversations into meaningful components.

Use Cases:

Maintaining continuity in long-term projects
Preventing information loss during team handovers

AiraFeedback

A module dedicated to analyzing user feedback and ensuring continuous system learning.

Technical Features:

Automatically classifies feedback by topic and relevance level.
Detects recurring issues and frequent user needs.
Feeds insights to the vector database to inform AI behavior.
Creates a dynamic suggestion system from evolving input patterns.

Use Cases:

AI-based classification of post-interaction feedback
Building a product roadmap based on user needs
Improving user experience through automated improvement cycles

AiraNews

An intelligent external integration and news gathering system that monitors updates from multiple sources and platforms.

Technical Features:

Multi-platform Integration: Connects with Git repositories, Apache projects, the Java ecosystem, RSS feeds, and other external sources.
Real-time Monitoring: Continuously tracks updates from technology platforms, open-source projects, and industry news sources.
Smart Content Collection: Filters and categorizes relevant updates based on project dependencies and technology stack.
Smart Notifications: Sends targeted announcements about critical updates based on user roles and technology interests.
Impact Assessment: Evaluates the importance of external updates and their potential impact on existing projects.
Multi-channel Broadcast: Distributes selected news and updates across various communication channels.
RSS Feed Processing: Automatically processes and summarizes RSS feeds from technology blogs and news sources.

Use Cases:

Technology stack update notifications for development teams
Security vulnerability alerts and patch notifications
Industry news collection and trend analysis
Dependency update recommendations and compatibility checks
Open-source project version tracking

Channels

Aira uses a modular channel architecture designed for different use cases.

Example Channels:

ProjectHub: Cross-functional teams collaborating on product launches with AI-assisted task coordination.
IncidentRoom: IT, security, and operations teams jointly managing critical system incidents with real-time AI analysis.
ContractReview: Legal, finance, and business teams simultaneously reviewing contracts with AI-powered clause analysis.
CampaignStudio: Marketing, design, and analytics teams co-creating campaigns with AI content suggestions.
CustomerCrisis: Support, product, and management teams handling escalated customer issues with AI insights.

Advantages:

Task Delegation: Each channel efficiently coordinates inter-module workflows.
Cross-Team Collaboration: Multiple departments can share information and collaborate in the same channels.
Reduced Duplicate Work: Shared information prevents repeated work across teams.

Interfaces

Web

A central web interface providing access to all Aira features.

Core Features:

Central Control Panel: Provides access to all Aira modules from a single interface.
Multi-session Management: Creates separate workspaces for different projects and tasks.
Real-time Collaboration: Team members can work on the same projects simultaneously.

Use Cases:

Central AI management platform for corporate teams
Project-based workspaces and task tracking
Comprehensive reporting and analysis capabilities
Integrated use of all Aira modules

Messaging interface providing direct access to Aira from mobile devices through WhatsApp integration.

Technical Features:

Natural Language Processing: Understands WhatsApp messages and routes them to appropriate Aira modules.
File Sharing: Processes documents, images, and audio files through WhatsApp.
Quick Response System: Predefined shortcuts for frequently used commands.
Multilingual Support: Supports interaction in many languages, including Turkish and English.

Use Cases:

Quick AI consultation for field workers
Emergency technical support in mobile environments
Document analysis and quick summarization
Instant feedback for code snippets

AiraMail

An AI-powered enterprise email management assistant that automates communication workflows.

Technical Features:

Smart Email Analysis: Categorizes incoming emails and routes them to appropriate modules.
Attachment Processing: Automatically analyzes PDF, Word, Excel, and other formats.
Automated Response System: Generates intelligent responses according to predefined rules.
Email Templates: Ready-made templates for frequently performed tasks.

Use Cases:

Automatic analysis of customer support emails
Processing technical documents via email
AI-assisted optimization of bulk email campaigns
AI consultation in internal communications

Widget

A widget and API interface that can be integrated into websites, providing AI support for customer interactions.

Technical Features:

Embed Widget: Chat interface that can be easily integrated into any website.
API Integration: Seamless integration with existing systems through a RESTful API.
Customizable Design: Visual customization options suitable for brand identity.
Multi-channel Support: Integration with live chat, help desk, and FAQ systems.

Use Cases:

Serving as a customer service chatbot
Automating technical support processes
Providing product guidance on e-commerce sites
Guiding visitors on corporate websites

Supporting Tools

Code Interpreter

Performs data processing, tabular data analysis, chart creation, and calculations using Python.

Example: Generates automated insights from user-uploaded CSV files.

Google Search

Performs real-time web searches for current information.

Filters and summarizes results from reliable sources.

Deep Research

Gathers and compares information from multiple sources for in-depth technical research.

Example: Generates comparative reports such as 'Edge Computing AI Framework Comparison'.

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