PromptLayer
PromptLayer (Magniv, Inc.) is a New York-based prompt engineering platform that provides versioning, evaluation, and OpenTelemetry-based observability for AI engineering teams and non-technical domain experts, with self-hosted enterprise deployment.
- Company typePrivate
- Founded2023
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What PromptLayer does
PromptLayer (legal entity Magniv, Inc.) is a New York-based developer platform for prompt engineering, positioned as the collaboration layer for AI engineering teams. Its core offering bundles a Prompt Registry (versioned CMS with release labels and approval workflows), an Observability stack built natively on OpenTelemetry (capturing LLM cost, latency, token usage, tool calls, and reasoning content), Tables for evaluation/dataset/reporting workflows with LLM-as-judge, human grading, and code evaluators, and a visual Workflows builder for multi-step agent orchestration with conditional logic and sandboxed code execution. The architecture is Python/Flask backend on PostgreSQL 15 and Redis/Valkey 8.1.0, deployed via Docker/Kubernetes, and exposes Python and JavaScript SDKs, a REST API, and an OTLP/HTTP ingestion endpoint at api.promptlayer.com/v1/traces.
The platform is embedded in the broader AI stack through native integrations with LangChain/LangSmith, Vercel AI SDK, OpenAI Agents SDK, Claude Code, LlamaIndex, LiteLLM, Pydantic AI, and OpenRouter, supporting OpenAI, Anthropic, Google Gemini, and routed third-party models. It serves two primary user personas — AI/ML engineering teams shipping production LLM applications and non-technical domain experts (e.g., doctors, lawyers, educators) who need to collaborate on prompts without writing code — plus regulated enterprises that require self-hosted deployment.
PromptLayer operates a hybrid product-led and enterprise-led GTM motion: self-serve cloud sign-up via dashboard.promptlayer.com with a free tier and SDKs, community channels (Discord, GitHub/MagnivOrg, docs, blog), and dedicated enterprise sales for self-hosted deployments with SOC 2 Type II, HIPAA, and GDPR compliance on AWS EKS and GCP GKE. Revenue is generated through tiered SaaS subscriptions for the cloud platform and quote-based multi-year enterprise self-hosted licensing (Basic Self-Hosted with quarterly updates and community support, and Enterprise Support with priority SLA and a dedicated success manager). The company was founded in 2023, operates with 1-10 employees, and closed a $4.8M seed round in February 2025 from investors including Thales and Verissimo Ventures.
PromptLayer firmographics
Firmographics- Name
- PromptLayer
- Legal name
- Magniv, Inc.
- Website
- https://promptlayer.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- PromptLayer (Magniv, Inc.) is a New York-based prompt engineering platform that provides versioning, evaluation, and OpenTelemetry-based observability for AI engineering teams and non-technical domain experts, with self-hosted enterprise deployment.
- Ownership category
- akta.pro rank
PromptLayer industry classification
Industry- Product category
- AI Engineering / Prompt Engineering Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
- akta.pro secondary industries
- Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where PromptLayer is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
PromptLayer business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Cloud Platform Subscription: SaaS subscription-based revenue model for cloud-hosted PromptLayer platform with tiered plans based on usage, team size, and feature access. Self-hosted enterprise deployment available as separate licensing tier.
- Enterprise Self-Hosted Licensing: Enterprise-only self-hosted deployment with Basic Self-Hosted (quarterly updates, community support) and Enterprise Support (priority SLA, custom installation, dedicated success manager, training) license tiers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise Self-Hosted - Contact sales for custom licensing |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels6 records
PromptLayer product offering
Product offeringCore offering
PromptLayer sells a cloud-based prompt engineering platform that combines a Prompt CMS (Prompt Registry) for versioned prompt management, an evaluation harness (Tables) for scoring and backtesting prompts, and an OpenTelemetry-native observability stack for tracing LLM requests in production. The platform also includes Workflows for orchestrating multi-step AI agent pipelines, a Tool Registry and Skill Collections for agent tooling, and A/B Releases for safe prompt rollouts, served to AI engineering teams and non-technical domain experts who need to collaborate on AI development.
Product overview
PromptLayer is a prompt engineering platform offering a unified suite of tools for AI development teams. The core platform includes the Prompt Registry for versioned prompt management, Observability for tracing LLM requests, and Tables for evaluations and datasets. Supporting products include Workflows for multi-step agent pipelines, Tool Registry for managing agent tools, and Skill Collections for reusable skills. The platform provides Python and JavaScript SDKs, REST API, and native OpenTelemetry support. Enterprise customers can deploy Self-Hosted PromptLayer for complete data control. The platform integrates with major AI frameworks (LiteLLM, LlamaIndex, LangChain, Vercel AI SDK) and supports multiple model providers (OpenAI, Anthropic, Google Gemini, OpenRouter).
Differentiator
Problem solved
Functional benefit
Products and services
- PromptLayer Platform (Cloud) SaaS prompt engineering platform combining a Prompt CMS (Prompt Registry), evaluation harness (Tables), OpenTelemetry-native observability, Workflows for multi-step AI agent pipelines, Tool Registry, Skill Collections, and A/B Releases, with Python and JavaScript SDKs, a REST API, and OTLP/HTTP trace ingestion for AI engineering teams and non-technical domain experts.
- Self-Hosted PromptLayer Enterprise self-hosted deployment of the PromptLayer platform with full data control, SOC 2 Type II, HIPAA, and GDPR compliance posture, packaged for Kubernetes on AWS and GCP, sold under Basic Self-Hosted and Enterprise Support licensing tiers with multi-year contracts.
Quantifiable outcome
- 3 days/month average time saved per team
- +1 more outcomes
Companies that use PromptLayer
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles3 records
PromptLayer technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration23 records
AI capability10 records
Feature9 records
PromptLayer partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core.
- LiteLLMcorePromptLayer integrates with LiteLLM, a library that standardizes calls to any LLM API using OpenAI format, enabling teams to swap models and compare performance across providers (Anthropic, HuggingFace, Cohere, PaLM, Replicate, Azure) with unified observability.
- LlamaIndexcoreIntegration with LlamaIndex data framework for LLM-based applications, enabling observability and tracing of data-augmented generation workflows built on the platform.
- Claude Code (Anthropic)coreNative Claude Code support via CLI plugin installation or SDK helper injection, capturing Claude Code sessions, LLM calls, tool calls, prompts, completions, token usage, and model metadata.
- OpenAI Agents SDKcoreIntegration with OpenAI Agents SDK (JavaScript and Python) providing native trace processor that captures agent spans as LLM sessions, response spans as LLM calls, and function/tool spans automatically.
- Vercel AI SDKcoreIntegration with Vercel AI SDK via OpenTelemetry, capturing LLM calls, inputs/outputs, token usage, tool traces, workflow spans, model metadata, and reasoning content with experimental_telemetry configuration.
- Pydantic AIcoreIntegration with Pydantic AI through OpenTelemetry, capturing agent runs, LLM calls, tool calls, embeddings, prompts, completions, token usage, model metadata, and thinking content from extended thinking models.
- LangChain / LangSmithcoreIntegration ingesting LangChain traces through LangSmith's OpenTelemetry bridge, converting LangChain spans into PromptLayer request logs with model metadata, messages, outputs, token counts, and thinking blocks.
- OpenRoutercoreOpenRouter configured as custom provider in PromptLayer, providing access to wide variety of cutting-edge models (DeepSeek, Claude, GPT-4, Gemini, Llama) through unified API with automatic rate limiting, failover, and cost optimization.
- AWS (Amazon Web Services)coreSelf-hosted PromptLayer deployment optimized for AWS with EKS, RDS, and S3 integration. Pre-built Docker images with Helm charts, infrastructure provisioning via OpenTofu, and detailed deployment guide for enterprise AWS environments.
- Google Cloud PlatformcoreSelf-hosted PromptLayer deployment designed for GCP with GKE, Cloud SQL, and GCS integration. Alternative cloud option alongside AWS for enterprise self-hosted deployments.
- Auth0coreSSO integration via Auth0 supporting SAML 2.0, OAuth 2.0/OpenID Connect, and Active Directory/LDAP for enterprise authentication requirements in self-hosted deployments.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
PromptLayer competitors and assessment
Company assessmentMarket position
Weaknesses3 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
PromptLayer social profiles
Digital presencePromptLayer compliance and trust
Trust signalCompliance3 records
PromptLayer financial estimates
Financial estimateRevenue estimate
Valuation estimate
PromptLayer leadership team
Management profileNumber of profiles
Profiles1 record
PromptLayer funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
PromptLayer M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about PromptLayer
What does PromptLayer do?
PromptLayer sells a cloud-based prompt engineering platform that combines a Prompt CMS (Prompt Registry) for versioned prompt management, an evaluation harness (Tables) for scoring and backtesting prompts, and an OpenTelemetry-native observability stack for tracing LLM requests in production. The platform also includes Workflows for orchestrating multi-step AI agent pipelines, a Tool Registry and Skill Collections for agent tooling, and A/B Releases for safe prompt rollouts, served to AI engineering teams and non-technical domain experts who need to collaborate on AI development.
Is PromptLayer a public or private company?
PromptLayer is a private company. It is classified as venture growth investor backed and is currently operating.
When was PromptLayer founded?
PromptLayer was founded in 2023. It employs 1 to 10 people.
Where is PromptLayer based?
PromptLayer is headquartered in New York, United States, in the North America region.
How does PromptLayer make money?
Two revenue lines are on record. Cloud Platform Subscription is the primary driver. The others are enterprise Self-Hosted Licensing.
Does PromptLayer have an API?
Yes. PromptLayer provides a REST API and Python/JavaScript SDKs for prompt management, request logging, evaluations, tables, and workflow execution. The OTLP/HTTP endpoint accepts OpenTelemetry traces at https://api.promptlayer.com/v1/traces with support for both binary protobuf (application/x-protobuf) and JSON (application/json) encodings with gzip compression. Authentication is via X-API-KEY header. The API supports webhook events for prompt template changes, agent runs, report completion, and dataset operations. Developer documentation is at docs.promptlayer.com.
What industry is PromptLayer in?
PromptLayer's product category is AI Engineering / Prompt Engineering Platform. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG), with a secondary code of HDAAACAD, Prompt Engineering, Orchestration & LLMOps Tooling. Its NAICS code is 5132 and its SIC code is 7372.