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PromptLayer

Research Team Data Published Compare
promptlayer.com

Summary

Collaboration layer for AI engineering teams, combining prompt CMS, eval harness and observability stack for prompts, LLM apps and agents.

Description

PromptLayer helps teams version, test and manage prompts, run evaluations, monitor LLM usage, and collaborate with domain experts on AI-agent/application behavior.

Positioning

Prompt CMS, eval harness and observability stack for AI engineering teams

Key facts

HQ location
Unknown
Founded
—
Employee range
— (Unknown)
Funding stage
—
Company type
Private
Pricing model
Subscription Usage Based (Usage-based SaaS / team and enterprise plans)
Last updated

Financials

Revenue estimate
Unknown
Valuation estimate
Unknown
Investments
Unknown

Relationships

Target customers
AI engineering teams, domain experts and developers building LLM applications and agents
Key competitors
LangSmith, Humanloop, Langfuse, Helicone, Braintrust, Galileo
Known customers
Magid case study mentioned on official site

Classification (raw research text)

Core focus
Prompt management, LLM evaluation and observability
Core industry
Enterprise AI development
Core category
Prompt management and LLM observability platform

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

Segments

AI Workflows, AI Agents, AI Developer Tools, Knowledge & RAG, LLM Deployment, AI Quality & Observability, AI Governance & Risk, Chatbots, Analytics & BI