See how PromptLayer helps AI teams manage, evaluate, and monitor prompts and agents in production, including pricing, features, and pros and cons for 2026.
Category
AI Infrastructure & MLOps
Pricing
Freemium subscription with a permanent free tier, a paid Pro plan, a paid Team plan, and custom-quoted Enterprise pricing that includes self-hosted deployment options., from Free tier available; Pro plan starts at $49 per month
Verified
Not yet
Last updated
July 19, 2026
Founded
2021
Headquarters
New York, New York, United States
Free PlanWeb AppAPIAIFreemium
Overview
PromptLayer is a New York-based LLM engineering platform founded in 2021 by Jonathan Pedoeem and Jared Zoneraich, built to help engineering and product teams manage prompts and AI agents the way software teams manage code: with versioning, testing, and observability rather than hardcoded strings scattered across an application.
The company raised a 5 million dollar seed round in February 2025 from investors including ScOp VC, Stellation Capital, and notable AI-industry angels, and has positioned itself as a registry-first platform focused specifically on making prompt and agent changes auditable, testable, and safely deployable.
Key Features
At the center of the platform is a prompt registry with immutable version history, commit messages, and diffs, plus the ability to label a specific version for production use without redeploying application code. A visual, no-code editor lets non-technical stakeholders propose and test prompt changes directly.
PromptLayer also supports evaluation workflows (comparing models, scheduling regression tests, running batch evaluations against historical data), tracing with usage and cost visibility, and dedicated agent versioning that tracks configuration changes over time so teams can experiment without destabilizing production agents.
Pricing
PromptLayer offers a permanent free tier for individual developers with a capped monthly request volume, limited log retention, and modest storage, alongside a Pro plan starting at 49 dollars per month for small teams.
A Team plan priced around 500 dollars per month adds a roughly 25-user cap, while Enterprise customers get custom pricing with compliance certifications, role-based access control, and flexible deployment options including self-hosting on major cloud providers or single-tenant and EU-hosted cloud environments.
Key Features
Prompt registry with version control — Store prompts as versioned, deployable artifacts with commit messages and diffs, similar to how source code is managed.
Visual no-code prompt editor — Let non-engineering stakeholders edit, test, and compare prompt variations without developer involvement for every change.
Model comparison and A/B testing — Run the same prompt against multiple models or prompt variants to compare quality, cost, and latency side by side.
Evaluation and regression testing — Schedule recurring regression tests and run batch evaluations against historical usage data to catch quality drift before it reaches users.
Agent versioning — Automatically track configuration changes to AI agents over time, keeping a stable production version while enabling safe experimentation.
Tracing and cost visibility — Trace requests through prompts and agents with visibility into usage volume and cost at each step.
Enterprise compliance and self-hosting — HIPAA, SOC 2, GDPR, and CCPA support, along with self-hosted deployment on GCP, AWS, or Azure for regulated or data-sensitive customers.
Role-based access control and webhooks — Enterprise-tier access controls and webhook events for integrating prompt and agent lifecycle events into other systems.
Pros & Cons
Pros
Dedicated, registry-first approach to prompt versioning that is stronger than general-purpose LLM frameworks bolted onto observability
Permanent free tier makes it accessible for individual developers and small projects to start immediately
No-code visual editor genuinely opens prompt iteration up to non-engineering team members
Enterprise-grade compliance and self-hosting options exist for regulated industries despite being a relatively small company
Cons
Free tier's request and storage caps are fairly modest for anything beyond light individual use
Team plan's roughly 25-user cap can force fast-growing teams into custom Enterprise pricing sooner than expected
As a smaller, newer company, long-term roadmap stability is less proven than larger, more established observability vendors
Primarily focused on prompts and agent versioning rather than being a full end-to-end LLM application development framework
Pricing
Free $0 Monthly
Pro From $49/month Monthly
Team Around $500/month Monthly
Enterprise Custom quote Annual
Frequently Asked Questions
What does PromptLayer do
PromptLayer is an LLM engineering platform for managing, versioning, evaluating, and monitoring prompts and AI agents used in production applications.
Does PromptLayer have a free plan
Yes, PromptLayer offers a permanent free tier for individual developers with a capped monthly request volume, 7-day log retention, and limited storage.
How much does PromptLayer cost
PromptLayer's Pro plan starts at 49 dollars per month, with a Team plan around 500 dollars per month and custom Enterprise pricing for larger organizations.
Who founded PromptLayer
PromptLayer was founded in 2021 by Jonathan Pedoeem and Jared Zoneraich and is headquartered in New York City.
Can non-technical team members use PromptLayer
Yes, PromptLayer includes a visual, no-code prompt editor designed to let non-engineering stakeholders propose and test prompt changes directly.
Does PromptLayer support AI agents, not just prompts
Yes, PromptLayer extends its versioning and tracing capabilities to AI agents, automatically tracking configuration changes over time.
Does PromptLayer offer self-hosting
Yes, Enterprise customers can choose self-hosted deployment on GCP, AWS, or Azure, or single-tenant and EU-hosted cloud options.
How much funding has PromptLayer raised
PromptLayer announced a 5 million dollar seed funding round in February 2025 led by ScOp VC and Stellation Capital, with participation from several notable AI-industry angel investors.