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each::labs
Unified API and workflow engine for generative AI production models.
What it does
• Integrates over 600 image, video, voice, and LLM models through a single developer-friendly API. • Provides a visual no-code workflow builder (AI Flows) to chain multiple AI models together. • Implements an automatic fallback mechanism to reroute failed or high-latency calls instantly. • Consolidates usage analytics, billing, and model versioning across a centralized dashboard.
Why it works
Offers a unified API endpoint reducing multi-provider integration overhead and maintenance efforts. Utilizes automatic model fallback mechanisms to guarantee high uptime and reliability in production. Employs a pay-as-you-go billing model without mandatory monthly platform subscriptions. Combines code-level SDK integration flexibility with a visual no-code builder for rapid prototyping.
Category: AI & Automation
Team Size: 1-10
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As of 2026
AI & Automation
Revenue: 0-$100k ARR
Unified API and workflow engine for generative AI production models.
Overview
each::labs is a generative AI infrastructure platform and model marketplace that allows developers to run image, video, voice, and large language models in production. Featuring a single unified API and a visual no-code workflow builder called AI Flows, it simplifies multi-provider management with automatic model failovers. The platform helps application developers build, scale, and orchestrate complex media generation pipelines without handling individual backend complexities.
Popularity: 5,000+ active developers
Funding status: Funded
Revenue source: Usage-based
Customer type: B2B
Pricing: Usage-based
Tech stack: Python, Node.js, Go, REST API, Generative AI Models
Platform: Web
Integrations: Node.js, Python, Golang, HTTP, ElevenLabs, Runway, Minimax
Founder story
each::labs was founded in February 2024 by Eftal Yurtseven to simplify generative AI application backend development. Headquartered in Delaware, the company was built to solve the operational friction of managing disparate model providers, fallback systems, and billing infrastructure for modern software creators.
What it does
- • Integrates over 600 image, video, voice, and LLM models through a single developer-friendly API
- • Provides a visual no-code workflow builder (AI Flows) to chain multiple AI models together
- • Implements an automatic fallback mechanism to reroute failed or high-latency calls instantly
- • Consolidates usage analytics, billing, and model versioning across a centralized dashboard.
Who it's for
- AI Developers
- Software Engineers
- SaaS Startup Founders
- Product Teams
Why it works
- Offers a unified API endpoint reducing multi-provider integration overhead and maintenance efforts
- Utilizes automatic model fallback mechanisms to guarantee high uptime and reliability in production
- Employs a pay-as-you-go billing model without mandatory monthly platform subscriptions
- Combines code-level SDK integration flexibility with a visual no-code builder for rapid prototyping.
Growth strategies
- Developer- first documentation and transparent open SDK distribution
- AI model marketplace listings and aggregator visibility
- Organic word- of-mouth adoption among indie hackers and AI engineers
- Pay- as-you-go frictionless onboarding without subscription paywalls
Alternatives
Comparison overview
- [each::labs provides a unified API and visual workflow builder featuring automatic model fallbacks across 600+ models, whereas standard model hosting providers typically require manual endpoint configuration and separate failover logic.]