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Logic Review

Logic is an AI-powered decision automation platform that transforms natural language specifications into production-ready AI agents.

shipped Apr 27, 2026updated May 27, 2026aifreemium
aiagentsproductivity
Logic - AI tool

Why it matters

1Transforms natural language specifications into production APIs in minutes.
2Automated product moderation scaled from 1,000 to over 5,000 products daily for Garmentory.
3Reduces complex purchase order processing from 30 minutes to 2 minutes.
4Raised $4.3 million in seed funding in October 2025, with total funding reaching $10 million.

Stork’s verdict on Logic

Logic transforms natural language into production-ready AI agents with enterprise compliance, but it's overkill for simpler automation needs.

Logic reviewed by Stork AI · stork.ai/en/logic

About Logic

Business Model
Token / Credit-Based
Usage Pricing
$0.01/token per token
Free Credits
$100 free credits
Headquarters
New York, USA
Team Size
51-200
Funding
Series A
Total Raised
$10 million
Platforms
Web, API
Target Audience
Businesses looking to automate document processing and AI workflows.

Pricing Plans

Free Tier
Free
  • • Unlimited users
  • • Unlimited agents
  • • Pay only when you scale
Pay-as-you-go
Variable / per-token
  • • Token-based pricing
  • • Scalable solutions

Cost Examples

  • • Extract 100 invoices: ~$10
  • • Process 1,000 documents: ~$100

Leadership

Elena VolkovCo-founder
Samira QureshiCo-founder
Mateo CardenasCo-founder
Marcus FieldsCo-founder

Investors

Investor A, Investor B, Investor C

API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Logic?

Logic is an AI-powered decision automation platform developed by Logic that enables businesses to automate recurring processes using natural language descriptions. It transforms natural language specifications into production-ready AI agents, generating API documentation, input forms, and a shareable web user interface. The platform is designed to streamline operations by allowing teams to describe their decision or review processes in plain English and then deploy these automations as web applications, APIs, or integrations with existing tools. Key capabilities include reading, filling, writing, and editing PDFs, processing various document types like CSV/JSON, and scaling content moderation. For example, Garmentory utilized Logic to increase product moderation from 1,000 to over 5,000 products daily. Logic also automates complex purchase order processing, fraud detection, scoring, classification, and content generation, with one user reporting a reduction of a half-hour task to two minutes.

features

Key Features of Logic

Logic provides a comprehensive suite of features designed to facilitate the creation, deployment, and management of AI agents from natural language specifications. The platform emphasizes production readiness, offering built-in infrastructure that typically requires custom development or multiple external tools.

  • Prompt engineering for optimizing AI agent behavior.
  • Intelligent model orchestration across various AI models (OpenAI, Anthropic, Google, Perplexity) with failover capabilities.
  • Automated and repeatable testing of LLM outputs to ensure quality and consistency.
  • Typed APIs automatically generated from natural language specifications.
  • Version control for managing and iterating on AI agent logic.
  • Compliance with SEC and SOC 2 standards for enterprise-grade security.
  • Token-based pricing for transparent usage costs.
  • Support for unlimited users and agents within an organization.
  • API availability for seamless integration into existing systems.
  • Complete execution logging for observability and debugging.

use cases

Who Should Use Logic?

Logic is designed for a broad audience, including both technical and non-technical users, who aim to automate recurring business processes and decision-making using AI. Its capabilities cater to various industry-specific and general business needs.

  • Engineers: For writing natural language specifications to create production-ready AI agents, deploying them as APIs, and integrating them into existing software stacks.
  • Non-engineers: For updating agent logic and automating recurring decisions without requiring extensive coding knowledge, leveraging plain English descriptions.
  • Businesses requiring document processing: For tasks such as reading, filling, writing, and editing PDFs, as well as processing structured data like CSV/JSON for tasks like invoice processing and data compliance.
  • Organizations needing content moderation: For scaling the review and approval of content, such as product listings, to ensure policy adherence and maintain brand standards.
  • Companies seeking business automation: For automating complex operational tasks including purchase order processing, fraud detection, scoring and classification, content generation, and dispute resolution, thereby reducing manual effort and improving efficiency.

pricing

Logic Pricing & Plans

Logic operates on a freemium, hybrid business model with monthly billing, combining a free tier with a pay-as-you-go structure based on usage. New users receive $100 in free credits to explore the platform's capabilities. The pricing is primarily token-based, with additional charges for specific execution types.

  • Free Tier: Free, includes $100 in free credits.
  • Pay-as-you-go: Variable pricing based on usage, with agent executions, media executions, and tool executions each priced at $0.05 per execution. General usage pricing is $0.01 per token. Cost examples include extracting 100 invoices for approximately $10 or processing 1,000 documents for approximately $100.

Similar Tools

Logic vs Competitors

Logic positions itself as a specialized AI automation platform for recurring decision-making, differentiating from general workflow automation tools by offering a comprehensive, integrated solution. It aims to eliminate the need for various separate tools and extensive custom development by providing a full production infrastructure.

1
Braintrust↗

Braintrust is a leading prompt engineering platform that connects prompt development directly to systematic evaluation, running automated tests on every change and blocking deployments that fail quality thresholds.

Similar to Logic, Braintrust offers an end-to-end solution for prompt engineering and testing in production AI applications. It emphasizes automated evaluation and an AI co-pilot for optimization, aligning with Logic's focus on turning specs into production APIs.

2
Orq.ai↗

Orq.ai is an end-to-end LLMOps platform designed to manage the entire lifecycle of production-grade LLM applications, offering advanced prompt engineering, AI observability, model evaluation, and RAG pipelines.

Orq.ai provides a comprehensive LLMOps solution, similar to Logic's broad capabilities in prompt engineering, orchestration, and API deployment. It specifically highlights serverless LLM orchestration and unified API access.

3
Vellum AIOn StorkCompare

Vellum AI combines prompt engineering, testing, and deployment with evaluation tools, version control, retrieval, semantic routing, and agent orchestration, enabling intricate workflow design.

Vellum AI directly competes with Logic by offering a visual prompt playground for testing and deploying prompts across multiple models and providers, alongside robust workflow orchestration and evaluation capabilities.

4
PromptLayerOn StorkCompare

PromptLayer is a specialized prompt management platform focusing on logging, versioning, and tracking prompt usage across AI applications, acting as a middleware layer to capture LLM requests and enable systematic prompt iteration.

While PromptLayer focuses more narrowly on prompt management, versioning, and analytics, these are critical components of Logic's prompt engineering and testing features, especially for production API stability and optimization.

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