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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteStatsig announced a $100 million Series C on May 6, 2025, at a $1.1 billion valuation. ICONIQ Growth led the round, with existing investors Sequoia and Madrona also participating. The Bellevue, Washington-based company said it would use the funding to expand an integrated product-development platform spanning feature flags, experimentation, analytics, session replay, integrations, and AI-driven insights.
That financing is now a historical milestone rather than a description of Statsig’s current standalone status. Statsig announced an agreement to join OpenAI in September 2025, and Amplitude said in May 2026 that it would take on the Statsig brand and customers while maintaining and developing the platform.
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What Statsig’s Series C included
| Detail | Information |
|---|---|
| Round | Series C |
| Amount raised | $100 million |
| Valuation | $1.1 billion |
| Announcement date | May 6, 2025 |
| Lead investor | ICONIQ Growth |
| Other named participants | Sequoia and Madrona |
| Founder and CEO at the time | Vijaye Raji |
The $1.1 billion figure was the valuation attached to the 2025 equity financing. It was not revenue, cash raised, or a guaranteed current market value. It should also be distinguished from the reported terms of OpenAI’s later all-stock transaction.
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In its Series C announcement, Statsig said the funding would support platform expansion, additional integrations, deeper analytics, and AI-driven insights. The company did not publish a detailed breakdown of how the money would be allocated among hiring, sales, infrastructure, or acquisitions.
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What Statsig sells
In practical terms, Statsig gives product and engineering teams three connected capabilities: controls for shipping changes, tools for testing different versions, and analytics for measuring what happened afterward.
The platform is designed to bring together functions that companies often buy separately:
- Feature management: Release features behind flags, target selected users, and control rollouts.
- Experimentation: Compare variants and evaluate their effect on product or business metrics.
- Product analytics: Analyze funnels, retention, cohorts, user journeys, and other behavioral data.
- Session replay: Review user sessions associated with releases or experiments.
- Metric management: Define and use shared metrics across product teams.
- Data infrastructure: Ingest events and connect product-development workflows with a company’s warehouse.
Statsig’s platform documentation describes both cloud and Warehouse Native deployment models. The current product pages also list capabilities such as dynamic configuration, parameter stores, Autotune, layers, holdouts, power analysis, Metrics Explorer, Logs Explorer, user segments, and event ingestion. Those current listings should not be read as proof that every feature was available or equally mature when the Series C was announced.
The company’s core proposition is not that it develops AI models. Its central products remain experimentation, feature management, analytics, replay, SDKs, and data infrastructure. Its AI-era argument is that software teams can now create more code, features, and product variants faster, increasing the need to control and measure those changes.
Why AI increases the need for measurement
The strategic logic is straightforward:
- AI-assisted development makes it easier to produce software and product variations.
- More output creates more releases and more uncertainty about their effects.
- Teams need controlled rollouts, reliable exposure data, guardrail metrics, and rollback procedures.
- They also need to connect technical release decisions with user and business outcomes.
Statsig positions itself as the measurement and decision layer in that process. A team might release an AI-powered feature to a limited audience, compare multiple versions, inspect user behavior, and decide whether to expand, change, or roll back the release.
That does not mean AI automatically drives Statsig’s growth, or that the platform independently generates product strategy. The available financing materials support AI as the company’s market thesis, not as independently verified evidence of revenue growth, market leadership, or superior experimentation results.
Why investors backed the platform
ICONIQ Growth’s stated rationale centered on the opportunity to provide a unified source of truth for experimentation, feature flagging, analytics, and related product workflows. The investor case also focused on consolidating point solutions and serving enterprise product teams as AI-powered software becomes more complex.
Those statements are investor and company claims. The funding announcement does not independently establish Statsig’s market share, customer satisfaction, statistical superiority, or long-term financial performance.
The appeal—and cost—of platform consolidation
A unified product-development platform can reduce the number of integrations that engineering and analytics teams must maintain. Shared identity, event, experiment, and release data can make it easier for product managers, engineers, and analysts to work from the same information.
That convenience comes with trade-offs:
- Less integration work: Teams may connect fewer separate systems.
- More concentrated dependency: A larger portion of the workflow depends on one vendor and its roadmap.
- Potentially simpler collaboration: Release and measurement workflows can live in one operating layer.
- Usage-based cost exposure: Pricing can rise with event, metric, exposure, and replay volume.
- Migration risk: Historical data, experiment results, SDKs, and operational flags may be difficult to move.
Before selecting a consolidated platform, a buyer should test whether historical events and experiment results can be exported, whether APIs support migration, whether feature flags continue operating during analytics interruptions, and how much effort would be required to replace the SDKs.
What happened after the Series C?
September 2, 2025: Statsig announced an agreement to join OpenAI
Statsig later announced a definitive agreement to join OpenAI. The company said its product had expanded beyond experimentation into feature flags, product analytics, session replay, marketing experiments, web analytics, and related tools.
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May 5, 2026: Amplitude announced a Statsig transition
Amplitude said it would take on the Statsig brand and customers, maintain and develop the existing Statsig platform across cloud and warehouse-native deployments, and work with the Statsig team at OpenAI during the transition.
This means a current buyer should not automatically assume that Statsig remains an independent startup with the same contracting, support, ownership, or roadmap arrangements it had in May 2025. Amplitude said it would support existing customers, but buyers should confirm the current legal contracting entity, support channels, security terms, subprocessors, data-processing terms, and roadmap commitments before signing.
June 17, 2026: Initial integration plans
Statsig’s Phase 1 update described plans to connect the two companies’ data layers. The intended integrations included using Amplitude events and cohorts inside Statsig and making Statsig experiment outcomes available in Amplitude.
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Those statements describe a roadmap and transition update. They do not establish that every planned integration was complete by August 2026.
Pricing and buyer considerations
The current Statsig pricing page, observed on August 16, 2026, listed the following public signals:
- Developer/Free: No credit card required, 2 million events per month, unlimited flag and configuration checks, 50,000 session replays per month, and one-year analytics retention.
- Pro: $150 per month, including 5 million events, with $0.05 charged for each additional 1,000 events; the page also listed 100,000 session replays per month and advanced experimentation and analytics.
- Enterprise: Custom pricing, warehouse-native deployment, data integrations and imports, single sign-on, role-based access control, teams, priority support, and HIPAA eligibility with a business associate agreement.
Pricing can change, so prospective customers should verify the current page and contract terms. Statsig says its “Metered Events” include exposure events, SDK log events, ingested metrics, and custom metrics. Disabled feature flags and checks that result in no allocation do not generate Metered Events. Its documentation also describes exposure deduplication over a 60-minute window for client SDKs and a one-minute window for server SDKs.
These mechanics matter because a nominally inexpensive plan can become less predictable as traffic, instrumentation, custom metrics, and replay usage increase. Buyers should model normal volume, launch spikes, experimentation activity, and overage charges before committing.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchStatsig’s startup program advertises up to $50,000 in credits, 1 billion events, and enterprise-tier access for 12 months. The published eligibility conditions include being founded less than five years ago and having raised less than $50 million. Terms apply, and customers may move to Enterprise, Pro, or Free after the program period.
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How Statsig compares with alternatives
The right comparison depends on the buyer’s primary problem rather than on the size of Statsig’s financing round.
| Platform | Most relevant when… |
|---|---|
| Statsig | You want feature management, experimentation, analytics, and replay in one platform. |
| LaunchDarkly | Feature flags, release controls, and progressive delivery are the main requirements. |
| Optimizely | Web experimentation, conversion optimization, and marketing-led testing are central. |
| Amplitude | Product analytics and a broader customer-behavior platform are the center of gravity; it is also the company publicly responsible for the Statsig transition. |
| PostHog | You want developer-oriented product analytics and experimentation. |
| Eppo | You prioritize warehouse-centric experimentation. |
| Split | You need feature management and experimentation workflows. |
Descriptions of competitors on Statsig’s own comparison and pricing materials are vendor-authored. They should not be treated as neutral product testing. Similarly, the fact that Amplitude is taking on the Statsig brand and customers makes it both a relevant alternative and the most important post-2026 commercial context—not simply an unrelated competitor.
What a serious evaluation should test
- Can the team export historical events, experiment results, cohorts, and metrics?
- How portable are the SDKs, APIs, flags, and warehouse data?
- Will feature flags remain operational if analytics ingestion is delayed or interrupted?
- Are randomization, exposure logging, power analysis, guardrail metrics, and holdouts configured correctly?
- Can the organization forecast event, metric, and replay costs?
- Are cloud and Warehouse Native versions functionally equivalent for the intended use case?
- Who signs the contract and provides support under the current Amplitude transition?
- Have privacy, security, data-processing, HIPAA, and subprocessor requirements been reviewed?
Statistical tooling does not replace sound experiment design. Reliable results still depend on appropriate randomization, clear metric definitions, adequate sample size, correct exposure logging, guardrail metrics, and avoiding unplanned repeated analysis. Likewise, a feature flag is not a substitute for safe deployment, observability, incident response, privacy review, security controls, or rollback procedures.
Bottom line
Statsig’s May 2025 Series C showed investor confidence in a unified platform for shipping, testing, and measuring software. The $100 million round was completed at a $1.1 billion valuation, led by ICONIQ Growth with Sequoia and Madrona participating.
For current readers, however, the larger story is the subsequent corporate transition: Statsig agreed to join OpenAI in 2025, and Amplitude said in 2026 that it would take on the Statsig brand and customers. Anyone evaluating the platform should treat the financing as historical context and independently verify current pricing, contracting, support, data terms, migration options, and roadmap commitments.
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