PromptLayer
Active
Collaboration layer for AI engineering teams, combining prompt CMS, eval harness and observability stack for prompts, LLM apps and agents.
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 (Private)
- Pricing model
- Subscription Usage Based (Usage-based SaaS / team and enterprise plans)
- Last updated
- Jun 21, 2026
Revenue estimate
Unknown
Valuation estimate
Unknown
Investments
Unknown
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 segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- Agent Builder / Agent Configuration Secondary feature
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Primary focus
- Retrieval-Augmented Generation Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Model Deployment / Inference Infrastructure Secondary feature
- AI Quality Assurance / LLM Evaluation Primary focus
- AI Observability / Monitoring Primary focus
- AI Security / Guardrails Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Text Chatbots / Conversational Assistants Secondary feature
- Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Not emphasized
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Secondary feature
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Primary focus
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Not emphasized
- AI Quality Assurance / LLM Evaluation Primary focus
- AI Observability / Monitoring Primary focus
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Not emphasized
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Secondary feature
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Secondary feature
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized