TaylorAI
Taylor AI is an AI tool that allows engineers to train and own open-source language models without the need for extensive GPU setup and com...
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What is TaylorAI?
Taylor AI is an AI-powered platform designed for business, engineering, and product teams to enrich and automate processes on freeform text. It specializes in text classification and extraction at scale, allowing users to structure unstructured text, enrich metadata, and build custom workflows efficiently. The tool provides a simple API and no-code interface to handle large volumes of text data with high accuracy and speed.
Key features include developer API access, batch jobs for processing multiple texts, confidence thresholds for reliable outputs, custom taxonomies for tailored classification, and seamless integrations with databases, CRMs, and Slack. Public classifiers are available out-of-the-box for quick starts, such as topic classification, while custom models enable specialized use cases like labeling unstructured data or identifying sales leads.
Taylor AI is ideal for teams dealing with unstructured data who need faster, more accurate alternatives to in-house models or general LLMs. It eliminates infrastructure hassles, supports real-time classification in milliseconds, and scales for enterprise needs with options for private cloud deployment.
TaylorAI pricing
Pricing model: Free
Free Starter: 1,000 classifications, access to all public classifiers, developer API, batch jobs, custom data tables. Pro: 50,000 classifications per month, everything in Starter plus custom models, white glove implementation, taxonomy crosswalks, high-volume discounts. Enterprise: Deploy in private cloud, SLA with priority support, custom pricing for high-volume needs.
TaylorAI pros
- Classifies text in milliseconds via API
- Handles unstructured text at scale
- Free starter plan with 1,000 classifications
- Public classifiers for instant use
- Custom taxonomy support
- Confidence thresholds adjustable
- Batch jobs for bulk processing
- Integrates with databases easily
- CRM integration available
- Slack notifications supported
- No-code interface for non-engineers
- Faster than general LLMs
- Higher accuracy than in-house models
- Custom models trainable
- High-volume discounts offered
- Private cloud deployment option
- Developer-friendly API keys
TaylorAI cons
- Free tier limited to 1,000 classifications
- Pro plan caps at 50,000 monthly
- Enterprise requires custom contact
- No mobile app mentioned
- Onboarding takes 1-2 days
- Support mainly via email
- No real-time chat support
- Custom models need paid plan
- No free fine-tuning access
Frequently asked questions about TaylorAI
How do I get started with Taylor AI?
Sign in with Google or GitHub, navigate to Settings in the left sidebar, create an API key, and use it in requests to endpoints like https://api.trytaylor.ai/api/public_classifiers/topics/run with your texts, threshold, and top_k parameters.
What is included in the free Starter plan?
The free Starter plan provides 1,000 classifications, access to all public classifiers, developer API access, batch jobs capability, and custom data tables for organizing results.
Does Taylor AI require engineering expertise?
No, the no-code interface makes it easy to implement without engineers, while still offering full API access for developers.
What integrations does Taylor support?
Taylor integrates with various databases, CRMs, and Slack, allowing seamless enrichment of metadata directly into your existing tools and workflows.
How accurate and fast is classification?
Taylor claims to be faster and more accurate than in-house models or LLMs, classifying text in milliseconds with adjustable confidence thresholds.
Can I create custom classifiers?
Yes, custom models and taxonomies are available on the Pro plan and above, enabling tailored classification for specific use cases.
What support is provided?
24/7 support is available via email, with priority support and SLA on Enterprise plans; onboarding typically takes 1-2 days.
What are batch jobs used for?
Batch jobs allow processing multiple texts at once, ideal for enriching large datasets efficiently through the API.
Is there a public classifier example?
Yes, the topics classifier under /Law prefix can classify legal texts like court cases into hierarchical labels with top_k results.
What Enterprise features are available?
Enterprise includes private cloud deployment, custom pricing for high-volume, white glove implementation, taxonomy crosswalks, and SLA with priority support.