Layercode VS Kodey AI

Let’s have a side-by-side comparison of Layercode vs Kodey AI to find out which one is better. This software comparison between Layercode and Kodey AI is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Layercode or Kodey AI fits your business.

Layercode

Layercode
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Layercode: Build production-ready, low-latency voice AI agents for LLMs. Developers get global edge infrastructure & real-time scalability.

Kodey AI

Kodey AI
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Kodey AI: Build & deploy autonomous AI agent teams with no-code visual workflows. Accelerate intelligent automation, reduce complexity, and scale enterprise solutions.

Layercode

Launched 2008-01
Pricing Model Freemium
Starting Price $250 / month
Tech used
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Kodey AI

Launched 2024-01
Pricing Model Free Trial
Starting Price $100/month
Tech used
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Layercode Rank/Visit

Global Rank 12716969
Country United States
Month Visit 1082

Top 5 Countries

66.03%
33.97%
United States India

Traffic Sources

7.61%
1.1%
0.1%
20.71%
15.56%
54.69%
social paidReferrals mail referrals search direct

Kodey AI Rank/Visit

Global Rank
Country United States
Month Visit 735

Top 5 Countries

100%
United States

Traffic Sources

0.67%
0.16%
0.01%
0.64%
97.84%
0.67%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Layercode and Kodey AI, you can also consider the following products

Millis AI - Build instant, human-like voice agents with Millis AI. Achieve ultra-low 600ms latency effortlessly using no-code tools & integrate anywhere.

LazyLLM - LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.

Langbase - Langbase empowers any developer to build & deploy advanced serverless AI agents & apps. Access 250+ LLMs and composable AI pipes easily. Simplify AI dev.

TaskingAI - TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.

More Alternatives
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Layercode VS LazyLLM
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