LaunchDarkly
- Company typePrivate
- Founded2014
- HeadquartersOakland, United States
- Headcount501–1,000
- GTM typeB2B
- OfferingSoftware
LaunchDarkly firmographics
Firmographics- Name
- LaunchDarkly
- Legal name
- Catamorphic Co.
- Website
- https://launchdarkly.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 501–1,000 employees
- Ownership category
- akta.pro rank
LaunchDarkly industry classification
Industry- Product category
- Feature Management Software
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industry
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)
Keywords
Where LaunchDarkly is headquartered
LocationHeadquarters
- HQ city
- Oakland
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
LaunchDarkly business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- LaunchDarkly Service subscriptions: Recurring SaaS subscriptions sold under Order Forms across multiple tiers: Developer Tier (self-service), Foundation self-service/invoiced, Starter, Pro, Enterprise, and Premium, with multi-year renewals and seat-based entitlements.
- Professional Services: Professional services with dedicated terms (/policies/professional-services-terms/) and a public Services page, sold as add-on engagements for enterprise customers.
- Premium Support and SLAs: Tiered support plans (Bronze, Silver, Gold, Platinum; plus Enterprise/Premium) with associated SLAs sold alongside subscriptions.
- Free trial / freemium entry tier: Free trial signup at app.launchdarkly.com/signup with a Developer Tier and Foundation Self-Service tier providing a self-serve, free/low-friction land motion that funnels teams into paid Starter/Pro/Enterprise plans.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise / Premium (invoiced) — annual subscription with seat-based entitlement |
| Per seat | Annual | Starter & Pro (self-service) — annual subscription, per-seat |
| Freemium | Pay-as-you-go | Developer Tier / Foundation Self-Service — free trial and free/dev-tier entry |
| Hybrid | Multi-year contract | Multi-year enterprise contracts |
Go-to-market motion6 records
Distribution channels8 records
Marketing channels14 records
LaunchDarkly product offering
Product offeringCore offering
LaunchDarkly sells a cloud-based runtime control platform that lets software development teams manage feature flags, progressive rollouts, automated rollbacks, release observability, and experimentation for code releases, and that extends the same runtime control layer to AI agents in production via prompt and model management, online and offline evaluations, and agent observability. The platform is sold as two product pillars—CodeControl for code releases and AgentControl for AI agents—augmented by Guarded Releases for automated rollback, AI Configs for AI model and prompt management, Warehouse-Native Experimentation and Product Analytics, Professional Services, and tiered Premium Support.
Differentiator
Problem solved
Functional benefit
Brands
- CodeControl: LaunchDarkly's platform module for shipping, controlling, and observing code releases in production, including feature flags, targeting, progressive rollouts, automated rollbacks, observability, and experimentation.
- AgentControl
Products and services
- CodeControl CodeControl is LaunchDarkly's runtime control layer for code in production, used by software development and DevOps/SRE teams to ship, control, and observe code releases with feature flags, progressive rollouts, automated rollback, observability, and experimentation.
- AgentControl AgentControl is LaunchDarkly's runtime control layer for AI agents in production, used by AI engineers and platform teams to manage agent behavior via online and offline evaluations, adaptive triggers, agent observability, AI Insights, custom judges, LLM Playground, LLM traces, agent graphs, approvals, RBAC, and prompt snippets, with sub-200ms configuration propagation.
- Guarded Releases
- Warehouse-Native Experimentation and Product Analytics
- Professional Services Professional Services are implementation, enablement, and optimization engagements sold to enterprise customers alongside LaunchDarkly subscriptions to help them adopt feature management, Guarded Releases, AgentControl, and experimentation.
- Premium Support and SLAs Premium Support and SLAs are tiered support plans (Bronze, Silver, Gold, Platinum, plus Enterprise and Premium) sold alongside LaunchDarkly subscriptions to provide direct answers, response commitments, and dedicated support resources to enterprise customers.
Quantifiable outcome
- 15% improvement in site performance (Savage X Fenty)
- +8 more outcomes
Companies that use LaunchDarkly
Customer profileNamed customers24 records
Segments11 records
Ideal customer profiles5 records
LaunchDarkly technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature8 records
LaunchDarkly partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core (infrastructure), strategic, flagship / strategic, minor (joint validation), core, minor (research/editorial), minor (event co-marketing), core (existing customer + atlassian dx research partner) and core (internal infrastructure).
- ClickHousecore (infrastructure)LaunchDarkly migrated its own data infrastructure to ClickHouse Cloud, replacing legacy streaming pipelines and batch data warehouses with a unified raw-event analytical system. ClickHouse showcased this as a customer case study demonstrating faster data availability (seconds vs minutes) and consolidation of analytics, observability, and release automation.
- SnowflakestrategicLaunchDarkly announced a Snowflake Native App in February 2025 enabling data warehouse-native experimentation and product analytics for Snowflake users. The acquisition of Houseware further deepened this relationship, bringing AI-driven warehouse-native analytics into LaunchDarkly's platform.
- Amazon Web Services (AWS)flagship / strategicLaunchDarkly is an AWS Partner with a dedicated 'LaunchDarkly on AWS' solutions page covering migrations, AI development with Amazon Bedrock, and de-risking releases. LaunchDarkly integrates with Amazon Bedrock, AWS CloudTrail Lake (sends events on flag/account updates), Amazon Kinesis Data Streams (log export), and migrated its internal orchestration to Amazon MWAA. Joint customer stories include Poka, PowerSchool/Naviance, and Nestlé Purina.
- Cursorminor (joint validation)Cursor's President publicly highlighted the partnership value of LaunchDarkly's AgentControl for enterprise AI deployments at the AgentControl launch in May 2026.
- GitHub (open-source SDKs)coreLaunchDarkly distributes its SDKs (JavaScript monorepo, Go server SDK, PHP server SDK, React Native client SDK, etc.) on GitHub under Apache 2.0, supporting CI/CD integrations and code references via the Code References API.
- LaunchDarkly Partner Program (resellers, SIs, technology partners)strategicLaunchDarkly runs a formal Partner Program (launchdarkly.com/partner-program/) with policy documents for partner terms and integrations, encompassing resellers, technology integration partners, and implementation partners.
- OpenAI (cross-promotion / research collaboration)minor (research/editorial)OpenAI published an editorial interview with LaunchDarkly's Chief Product and Technology Officer Claire Vo discussing AI-powered product management, indicating an editorial/research partnership.
- Anthropic (joint event with AWS, LlamaIndex, Arize AI)minor (event co-marketing)Anthropic participated alongside LaunchDarkly's ecosystem in the AWS AI Builder Lab event with AICamp in San Francisco on February 13, 2026, focused on multi-agent AI systems.
- Atlassian / Jira (engineering workflow integrations)core (existing customer + atlassian dx research partner)Atlassian is a LaunchDarkly customer, and LaunchDarkly co-publishes engineering productivity research with Atlassian's DX team, including findings presented at AWS re:Invent.
- YouTube (LaunchDarkly channel)coreLaunchDarkly operates a YouTube channel (youtube.com/@LaunchDarkly) hosting demos, SDK overviews, UI tutorials, and Toggle TV content.
- Amazon MWAA (Managed Workflows for Apache Airflow)core (internal infrastructure)LaunchDarkly migrated its internal data orchestration to Amazon MWAA to achieve efficiency and scale.
Scale indicators14 records
Recent moves7 records
Expansion highlights6 records
LaunchDarkly competitors and assessment
Company assessmentDirect peers
- Split.io (now Harness Feature Management): Split.io was a direct feature flagging and experimentation competitor to LaunchDarkly serving enterprise engineering teams; it was acquired by Harness in 2023 and now ships as 'Harness Feature Management', making Harness a directly comparable feature management platform with overlapping enterprise and experimentation functionality.
- Statsig: Statsig is a feature flagging and product experimentation platform founded by a former Facebook experimentation lead, directly competing with LaunchDarkly across feature flags, A/B testing, and warehouse-native analytics for both SMB and enterprise customers.
- Optimizely: Optimizely is an experimentation and feature management platform offering feature flags, A/B testing, and personalization; it competes with LaunchDarkly's Experimentation module and warehouse-native product analytics offering for product-led and enterprise teams.
- GrowthBook: GrowthBook is an open-source feature flagging and A/B testing platform with warehouse-native experimentation, competing head-to-head with LaunchDarkly for engineering-led adoption and often considered the open-source alternative for cost-sensitive teams.
- Unleash: Unleash is an open-source feature management platform with enterprise SaaS offering, directly comparable to LaunchDarkly's Developer and Starter tiers; it serves engineering teams adopting feature flagging as part of their DevOps toolchain.
- DevCycle: DevCycle is an OpenFeature-compliant feature management platform serving product and engineering teams, directly competing with LaunchDarkly's feature flagging core offering, particularly for SMB and mid-market self-serve customers.
Emerging players
- Eppo: Eppo is an experimentation platform that runs natively on the modern data warehouse (Snowflake, BigQuery), competing with LaunchDarkly's warehouse-native experimentation and product analytics offering (originally Houseware) for product analytics teams.
- LangSmith (LangChain): LangSmith is LangChain's platform for debugging, testing, evaluating, and monitoring LLM applications and AI agents, intersecting with LaunchDarkly's AgentControl in the AI agent observability and evaluation category for developers building production AI systems.
Broad incumbents
- Datadog: Datadog is a broad observability and APM platform that increasingly bundles feature flag and release-monitoring capabilities alongside logs, metrics, and traces, making it a credible overlapping incumbent in release observability — the same problem space that LaunchDarkly's Guarded Releases addresses.
- Harness: Harness is a software delivery platform offering CI/CD, feature flags (via Split.io), continuous delivery, and security testing; it competes with LaunchDarkly across feature management, progressive delivery, and release safety for enterprise DevOps teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
LaunchDarkly social profiles
Digital presenceLaunchDarkly financial estimates
Financial estimateRevenue estimate
Valuation estimate
LaunchDarkly leadership team
Management profileNumber of profiles
Profiles10 records
LaunchDarkly subsidiaries and ownership
Company hierarchySubsidiaries2 records
LaunchDarkly funding detail
Funding detailFunding overview
Funding rounds7 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LaunchDarkly M&A and investment
M&A and investmentM&A2 records
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LaunchDarkly
What does LaunchDarkly do?
LaunchDarkly sells a cloud-based runtime control platform that lets software development teams manage feature flags, progressive rollouts, automated rollbacks, release observability, and experimentation for code releases, and that extends the same runtime control layer to AI agents in production via prompt and model management, online and offline evaluations, and agent observability. The platform is sold as two product pillars—CodeControl for code releases and AgentControl for AI agents—augmented by Guarded Releases for automated rollback, AI Configs for AI model and prompt management, Warehouse-Native Experimentation and Product Analytics, Professional Services, and tiered Premium Support.
Is LaunchDarkly a public or private company?
LaunchDarkly is a private company. It is classified as venture growth investor backed and is currently operating.
When was LaunchDarkly founded?
LaunchDarkly was founded in 2014. It employs 501 to 1,000 people.
Where is LaunchDarkly based?
LaunchDarkly is headquartered in Oakland, United States, in the North America region.
How does LaunchDarkly make money?
Four revenue lines are on record. LaunchDarkly Service subscriptions are the primary driver. The others are professional Services, premium Support and SLAs and free trial / freemium entry tier.
Who are LaunchDarkly's main competitors?
Direct peers on record are Split.io (now Harness Feature Management), Statsig, Optimizely, GrowthBook, Unleash and DevCycle. Emerging players are Eppo and LangSmith (LangChain). Broad incumbents are Datadog and Harness.
Does LaunchDarkly have an API?
No public API is recorded for LaunchDarkly.
What industry is LaunchDarkly in?
LaunchDarkly's product category is Feature Management Software. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 5132 and its SIC code is 7372.