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What is Lanes?

Lanes is a desktop application designed with a strong focus on local-first functionality, allowing developers to efficiently manage and interact with AI coding agents in a secure environment where all activities are confined to the user's device. This method is based on the principle that essential development data, such as source code, terminal interactions, prompts, AI outputs, and project configurations, should never leave the local setting, thereby preserving user privacy and granting full control over their work. Lanes offers seamless integration with a variety of third-party AI coding agents and command-line interface tools, including Codex, Claude Code, and Gemini CLI, ensuring that all communications take place directly between the user's machine and these services without any intermediaries. This architecture enables developers to tap into sophisticated AI technologies while maintaining strong data security and protecting their ownership rights. Moreover, Lanes provides a user-friendly account management experience with simple authentication steps and collects only a minimal amount of anonymous telemetry data, such as feature usage, session durations, and crash reports, to refine and enhance overall functionality. By prioritizing user privacy and data integrity, Lanes equips developers with essential tools while safeguarding their sensitive information, ultimately fostering a more secure development landscape. In this way, Lanes not only promotes innovation but also instills confidence in users regarding the safety of their proprietary data.

What is Elosia?

Traditional AI platforms frequently retain user conversations and leverage data to improve their algorithms, which can present considerable risks for professionals, freelancers, and businesses. Conversely, Elosia presents a holistic AI workspace that grants access to premier models while also offering an offline mode, all the while prioritizing user privacy. Key Features: 🔒 Privacy Assurance: - All data is kept solely on your device - User information is never sent through our servers - Early access to Zero Data Retention (ZDR) models - Offline capabilities integrated directly within your browser 💼 Boosted Efficiency: - Access to the best AI models seamlessly integrated on one platform - One subscription to simplify management instead of multiple - Local embeddings safeguard your sensitive documents - A unified and intuitive user interface 🎯 Complete Autonomy: - You control the models you wish to use - Transparent data retention policies - No hidden surprises or unforeseen data collection Perfect for: - Individual professionals prioritizing privacy - Teams managing confidential information - Organizations dedicated to compliance with regulations like GDPR and others, ensuring peace of mind in their operations. Furthermore, Elosia embodies a commitment to creating a secure environment for all users, fostering trust through its robust privacy measures.

Media

Media

No images available

Integrations Supported

Claude Code
Codex CLI
Gemini CLI
Git
JSON
OpenAI Codex

Integrations Supported

Claude Code
Codex CLI
Gemini CLI
Git
JSON
OpenAI Codex

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

20€/month/user
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lanes

Company Location

United States

Company Website

lanes.sh/

Company Facts

Organization Name

Elosia AI

Date Founded

2025

Company Location

France

Company Website

elosia.ai

Categories and Features

Categories and Features

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