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LaunchDarkly Experimentation
launchdarkly.com
Spec sheet
- Purpose
- Experimentation helps teams measure impact, learn from real behavior, and improve what they ship.Read 29 Sep 2026 · launchdarkly.com
- Integrations
- Listed integrations include Databricks, Snowflake, Redshift, Amplitude, Datadog, Google Cloud Pub/Sub, Slack, and Microsoft Teams.Read 29 Sep 2026 · launchdarkly.com
- Security
- The company lists SOC 2 Type II, ISO 27001, FedRAMP authorization, and Data Privacy Framework participation, along with encryption in transit, MFA, SAML SSO, and audit logging.Read 29 Sep 2026 · launchdarkly.com
- Support
- The site links to a Help Center and a direct support request channel.Read 29 Sep 2026 · launchdarkly.com
- Headquarters
- Oakland, California, United StatesRead 28 Sep 2026 · launchdarkly.com
- Founded
- 2014Read 28 Sep 2026 · launchdarkly.com
- Company
- LaunchDarkly was founded in 2014 in Oakland, California, by Edith Harbaugh and John Kodumal.Read 29 Sep 2026 · launchdarkly.com
- Analysis
- Results can be segmented by cohort, device, geography, or attribute, and exported to a warehouse for further analysis.Read 29 Sep 2026 · launchdarkly.com
- Experiment controls
- Users can use mutual exclusion and holdout groups to isolate experiments and measure long-term impact.Read 29 Sep 2026 · launchdarkly.com
- Experiment scope
- Teams can test features, models, prompts, page layouts, and AI-powered systems.Read 29 Sep 2026 · launchdarkly.com
- Privacy and residency
- LaunchDarkly says it does not require personally identifiable information and offers an EU hosted region supporting EU data residency.Read 29 Sep 2026 · launchdarkly.com
- SDKs and API
- LaunchDarkly lists client-side and mobile SDKs including JavaScript, iOS, and Android, and documents a separate API for programmatic product interactions.Read 29 Sep 2026 · launchdarkly.com
- Statistical methods
- Experimentation includes CUPED variance reduction, sequential testing, sample ratio mismatch detection, and multi-armed bandits.Read 29 Sep 2026 · launchdarkly.com
- Warehouse support
- Warehouse-native experimentation supports Snowflake, Redshift, and Databricks, among others.Read 29 Sep 2026 · launchdarkly.com
- Who it serves
- LaunchDarkly says its platform serves product, marketing, and business teams as well as developers, and names product managers and data scientists among its target teams.Read 29 Sep 2026 · launchdarkly.com
Plans and prices
Developer Free forever 100K experimentation MAU/month · 1 project · 3 environments · 5 service connections/month · A/B tests and experiments Read 29 Sep 2026 · launchdarkly.com
Foundation $108.33 a month Billed yearly; 14-day trial, then pay as you go First 5 service connections/month included · 5K AI runs/month included · additional runs $5 per 1k · unlimited projects and environments Read 29 Sep 2026 · launchdarkly.com
Enterprise Priced on request Custom pricing Everything in Foundation · custom AI run count · 100 days data retention · advanced targeting, roles, teams, workflows and approvals Read 29 Sep 2026 · launchdarkly.com
Where Specifiction places it
- Release Management Software#10 of 388.2
- Rollback Management#7 of 258.2
- A/B Testing Tools#18 of 528.2
- Feature Flag Software#15 of 278.2
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