Statsig is a Product experimentation and feature management platform by Statsig, Inc. This profile pulls together Statsig's ratings across the major review sites, its company and funding details, leadership, features, pricing, and the latest news, with every external source cited at the bottom.
About Statsig, Inc.
Statsig is a Redmond, Washington-based product experimentation and feature management platform founded in 2021 by Vijaye Raji, former engineering director at Facebook. The platform combines feature flags, product analytics, A/B testing, and session replay in one product, differentiated by its Statsig Warehouse Native offering that runs experiment analysis directly in your data warehouse. Statsig's experimentation engine comes from Facebook's internal A/B testing infrastructure and handles the statistical rigor (CUPED variance reduction, sequential testing) that most experimentation tools lack. The company raised $43M in Series B funding in 2023 and serves engineering teams at Notion, Brex, and Flipkart.
| Category | Product experimentation and feature management platform |
| Company | Statsig, Inc. |
| Founded | 2021 |
| Headquarters | Redmond, Washington, US |
| Industry | Software Development · Product Experimentation |
| Team size | ~50-150 |
| Ownership | Private, Series B ($43M, 2023) |
| Founder / CEO | Vijaye Raji (CEO) |
| Specialties | A/B testing, feature flags, product analytics, warehouse-native experimentation, CUPED |
| Website | statsig.com |
Find Statsig on: Crunchbase · LinkedIn · G2
Statsig ratings across the web
Aggregated from the major review platforms. Each links to the source.
Rating breakdown
Per-category scores from G2, ~100 reviews, 2025-2026.
Who uses Statsig
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What people say about Statsig
Our synthesis across ~100 G2 reviews and engineering community discussion, 2025-2026. No fabricated quotes, this is the consistent pattern across reviews and third-party analyses.
Most praised
- CUPED variance reduction means you need 50-70% fewer users to detect the same effect
- Warehouse native mode keeps experiment data in your own Snowflake/BigQuery
- Free tier is genuinely usable for early-stage companies building experimentation programs
- Statistical rigor is significantly higher than most competitors (sequential testing, CUPED)
Most cited complaints
- Smaller ecosystem than LaunchDarkly for enterprise integrations
- Product analytics features still catching up to dedicated tools like Amplitude
- Newer company; enterprise references are fewer than established players
What we found testing it
What's great
- Feature flags are genuinely unlimited at every tier including free; you pay only for analytics events above the 2M/mo free allowance
- CUPED variance reduction, sequential testing, and holdouts ship built-in at Pro ($150/mo), not as a $30K enterprise add-on
- Warehouse-native delivery is a genuine strength; experiment data can stay in your own Snowflake or BigQuery instead of a vendor event store
Watch-outs
- Not open-source; teams with air-gap or data-residency requirements cannot self-host
- The event-based billing model is predictable for flagging but can scale unexpectedly when experiments fire high-frequency client-side events
- SDK maturity gap vs LaunchDarkly in some languages; the Rust and Swift SDKs are newer and have fewer community-contributed examples
Statsig funding & ownership
| Round | Amount | Date | Lead investor |
|---|---|---|---|
| Seed | $5M | 2021 | Sequoia |
| Series A | $17M | 2022 | Sequoia |
| Series B | $43M | 2023-01-01 | Sequoia |
Strong Sequoia backing with proven team from Facebook. The warehouse-native experimentation approach is architecturally correct for the modern data stack. Good long-term outlook.
Statsig features & integrations
Security & compliance
| Standard | Availability |
|---|---|
| GDPR | Yes |
| HIPAA | Yes (Enterprise) |
| SOC 2 Type II | Yes (Type II) |
| SSO / SAML | Yes (Pro+) |
Integrations: Snowflake, BigQuery, Redshift, Databricks, Segment, Amplitude, Mixpanel, Slack, PagerDuty, GitHub, and Jira.
Statsig leadership
Statsig pricing
| Plan | Price | Best for |
|---|---|---|
| Free | $0/mo | Unlimited flags, 1M events/month |
| Pro | From $150/mo | Growing teams, unlimited experiments |
| Enterprise | Custom | Large orgs, Warehouse Native, SLAs |
The catch: Statsig charges based on metered events. Free: unlimited flags + 1M events/month. Pro: $150/month base + pay-as-you-go events. Enterprise: custom. Warehouse Native has separate pricing. Typically 60-80% cheaper than LaunchDarkly for comparable flag and experiment volume.
Statsig alternatives & where it appears
Featured in our guides
Statsig product changelog
What Statsig has actually shipped, summarized from its own release notes and dated. Not auto-generated, updated as part of our freshness checks.
- February 1, 2026
AI-powered metric selection
AI suggestions for selecting the right metrics for each experiment.
Source - October 1, 2025
- February 1, 2025
Latest Statsig news
Auto-pulled from Google News, refreshed on each deploy. Headlines link to the source.
- Statsig and OpenAI: A New Chapter for Product Experimentation - sequoiacap.comTue, 02 Sep 2025
- Vijaye Raji to become CTO of Applications with acquisition of Statsig - OpenAITue, 02 Sep 2025
- Statsig Launches Warehouse Native, Bringing Powerful Experimentation to Product Teams on the Modern Data Stack - Business WireWed, 14 Jun 2023
- OpenAI Buys Statsig for $1.1B, Names Raji CTO of Applications - TechRepublicWed, 03 Sep 2025
- Seattle-based Startup Statsig Takes Over San Francisco, Painting the Town Blue, Green, and Creating a Data-driven Scene - Business WireMon, 29 Jan 2024
- With $43 Million Sequoia Capital-Led Funding Round, Statsig - GlobeNewswireWed, 20 Apr 2022
Statsig FAQs
What is CUPED and why does it matter?
CUPED (Controlled-experiment Using Pre-Experiment Data) is a variance reduction technique that uses pre-experiment data to reduce noise in experiment results. It means you can run shorter experiments with fewer users to get statistically significant results. Statsig implements it automatically.
How does Statsig Warehouse Native work?
Statsig Warehouse Native runs the entire experimentation analysis inside your own data warehouse (Snowflake, BigQuery, etc.) without sending event data to Statsig's servers. You keep full data sovereignty and can use your existing warehouse data as metrics.
Sources
Every external figure on this page traces to a public source, last collected on the dates shown.
- Statsig website — Product and pricing (accessed 2026-09-02)
- G2 Statsig reviews — User reviews (accessed 2026-09-02)