PromptLayer

PromptLayer is an AI engineering platform that combines prompt management, LLM evaluations and observability. Its site says the company is located in the heart of New York City; the founding year is not stated.

The platform provides a no-code prompt editor for domain experts, versioning with rollback and A/B testing, evaluations with human and AI graders, usage monitoring of cost and latency, and agent workflow tracing. Named customers include ByteDance, Accenture, Docusign and Paytm, and the site lists SOC 2 Type 2, HIPAA and GDPR compliance.

• Prompt registry: no-code editor with versioning and rollback.
• A/B testing: compare prompt and model variants on live traffic.
• Evaluations: human and AI graders with regression tests.
• Monitoring: cost, latency and user-level logs.
• Agent tracing: multi-step workflow traces and evaluation.
• Integrations: OpenAI Agents SDK, LangChain, LiteLLM, OpenTelemetry and major model providers.

A Vietnamese bank can let its customer-service team tune chatbot prompts under version control with regression tests. An e-commerce company can A/B test product-description prompts. An outsourcing firm can monitor LLM cost per client project.

Domain experts can edit and release prompts without engineering deployments. Regression tests and evaluations catch quality drops before release. Cost, latency and user-level logs make production usage visible. Published SOC 2 Type 2, HIPAA and GDPR compliance supports regulated buyers.

As LLM applications move to production, product and domain teams need to own prompt changes with versioning and testing rather than hard-coding them. Evaluation and observability tooling is now a standard layer for agent workloads. Vietnamese enterprises building chatbots and agents need the same release discipline.

Based in New York City per the company site (country inferred from city). Pricing page lists Free, Pro $49/month, Team $500/month and Enterprise tiers. SOC 2 Type 2, HIPAA and GDPR listed.