Why Choose Iris?

What makes Iris different from other AI platforms

The AI landscape is crowded with chatbots and copilots, but Iris occupies a different category entirely. It is not just a conversational interface -- it is an autonomous agent that plans, executes, and delivers complete work products. Here is why teams and individuals choose Iris.

Truly Autonomous

Most AI tools answer questions. Iris executes workflows. When you ask Iris to research a market and produce a competitive analysis report, it does not just give you bullet points -- it searches the web, gathers data from multiple sources, synthesizes findings, and generates a formatted document ready for sharing.

The agent loop at the core of Iris continuously plans, acts, and evaluates until your task is genuinely complete. Multi-step workflows that would take hours of manual effort are reduced to a single conversation.

Multi-Model Flexibility

Locking into a single AI provider means accepting its strengths and weaknesses for every task. Iris takes a different approach with its multi-model architecture. It routes each sub-task to the best available model:

• Claude for deep reasoning and careful analysis
• GPT-4 for creative generation and broad tasks
• Specialized vision models for image understanding and analysis
• Image generation models for creating custom visuals and artwork

This means you always get the highest-quality output for each part of your workflow, without having to manually switch between different tools or platforms.

Real-World Actions

Iris does not live in a sandbox. It connects to the real world through 20+ integrated tools that produce tangible outputs:

• Browser Automation -- Navigate websites, scrape data, and interact with web applications
• File Creation -- Generate PDFs, DOCX documents, slide decks, and spreadsheets
• Web Research -- Search engines, academic databases, and specialized sources
• Image Generation -- Create custom visuals, diagrams, and illustrations on demand
• Website Building -- Design and deploy web pages from natural language descriptions

The result is not just text on a screen -- it is deliverable work that you can share, export, and use immediately.

Built for Teams

Iris is designed from the ground up to support team collaboration and organizational use:

• Multi-Tenancy -- Powered by Basejump, Iris supports full organizational isolation with shared workspaces and individual accounts.
• Usage Tracking & Billing -- Every LLM call, tool invocation, and generated asset is tracked for transparent billing and cost management.
• Role-Based Access -- Control who can access what within your organization, with Supabase Row Level Security enforcing permissions at the database layer.
• Conversation History -- All interactions are stored and searchable, creating an organizational knowledge base over time.

Made in India

Iris is built by a passionate team at Iris Intelligence, headquartered in India. We believe that world-class AI products can be built anywhere, and we are committed to pushing the boundaries of what autonomous agents can accomplish.

Our team combines deep expertise in AI, distributed systems, and product design to deliver a platform that is both powerful and intuitive. We move fast, listen to our users, and continuously ship improvements.

Transparent Pricing

We believe in honest, usage-based pricing with no hidden fees. Every cost is tracked and visible:

• Pay for what you use -- LLM tokens, tool invocations, and generated assets are metered transparently.
• No surprise charges -- Clear dashboards show your usage and costs in real time.
• Flexible plans -- From individual creators to enterprise teams, pricing scales with your needs through our Razorpay-powered billing system.