LmCast :: Stay tuned in

OpenRouter raises $113M Series B

Recorded: May 30, 2026, 6:01 p.m.

Original Summarized

OpenRouter Raises $113M Series B | OpenRouterSkip to contentOpenRouter/No models foundModelsFusionChatRankingsAppsEnterprisePricingDocsOpenRouter Raises $113M Series BOpenRouter · 5/28/2026Today we're announcing our $113M Series B, led by CapitalG(opens in new tab) (Alphabet's independent growth fund), with participation from NVentures(opens in new tab) (NVIDIA's venture capital arm), ServiceNow(opens in new tab) Ventures, MongoDB(opens in new tab) Ventures, Snowflake(opens in new tab) Ventures, Databricks(opens in new tab) Ventures, AMP PBC(opens in new tab), and Pace Capital(opens in new tab), alongside our existing investors Andreessen Horowitz(opens in new tab) and Menlo Ventures(opens in new tab).
Where we are
Over the last six months, weekly volume on OpenRouter has grown from 5 trillion to 25 trillion tokens. We are on pace to process over a quadrillion tokens this year and serve 8M+ developers building across 400+ models. AI is rapidly shifting from experimentation into critical production apps and agents, and that transition requires infrastructure that works reliably at scale, across providers, across modalities, and across use cases. This growth reflects the simple fact that developers love building on OpenRouter.
Why this round matters
The composition of this investor group is deliberate. CapitalG, NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, and Databricks Ventures are more than financial backers; they are the infrastructure and platform companies that enterprises already depend on. Their participation reflects a shared view: as organizations move from single-model pilots to multi-model production systems, they need a routing and gateway layer purpose-built for that complexity.
OpenRouter is that layer. We sit between agents and model providers, handling the routing, reliability, cost optimization, and compliance that production AI demands. The breadth of strategic investors in this round signals that the market has converged on this as a critical piece of the stack.
What we've been building
The past year has been focused on expanding what OpenRouter can do for production workloads:

Multimodal inference: Beyond text, OpenRouter now supports image(opens in new tab), audio(opens in new tab), speech(opens in new tab), transcription(opens in new tab), embedding(opens in new tab), and video(opens in new tab) models.
Enterprise controls: Workspaces(opens in new tab), spend management, guardrails(opens in new tab), and zero-data-retention(opens in new tab) policies for organizations deploying AI at scale.
Intelligent routing: Provider-level failover, cost and latency optimization, and quality-aware routing that goes beyond simple load balancing.

What's next
We'll use this funding to continue scaling our infrastructure, deepen enterprise capabilities, and continue to invest in intelligent routing; teams need help finding the right model and provider for every request. We're grateful to our customers, partners, investors, and the developer community building with us as we continue scaling the infrastructure layer for the multi-model AI era.OpenRouter© 2026 OpenRouter, IncProductChatRankingsAppsModelsProvidersPricingEnterpriseLabsCompanyAboutAnnouncementsCareersHiringPrivacyTerms of ServiceSupportState of AIWorks With ORDataDeveloperDocumentationAPI ReferenceSDKStatusConnectDiscordGitHubLinkedInXYouTube

OpenRouter recently announced the raising of $113 million in a Series B funding round, with investment led by CapitalG, along with participation from NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, Databricks Ventures, AMP PBC, and Pace Capital, in addition to existing investors Andreessen Horowitz and Menlo Ventures. This funding reflects a strong market convergence around OpenRouter as a critical infrastructure layer for the rapidly evolving landscape of multi-model artificial intelligence.

The growth trajectory of the platform demonstrates significant developer adoption; weekly token volume on OpenRouter increased from 5 trillion to 25 trillion over the last six months. The company is projected to process over a quadrillion tokens this year and serves more than eight million developers engaged in building across over 400 different models. This expansion underscores the necessity for infrastructure that can reliably handle the transition of artificial intelligence from experimentation into critical, large-scale production applications and agents, requiring robust handling across various providers, modalities, and use cases.

The composition of the investor group signals a consensus among major enterprise infrastructure companies that a routing and gateway layer is essential for managing the complexity inherent in multi-model systems. OpenRouter positions itself as this necessary layer, situated between AI agents and various model providers, responsible for managing routing, ensuring reliability, optimizing costs, and enforcing compliance demanded by production AI environments.

In terms of product development, the past year has focused on expanding the platform's capabilities for production workloads. This includes implementing multimodal inference, extending beyond text to support models for image, audio, speech, transcription, embedding, and video. Furthermore, the platform has introduced enterprise controls designed for large organizations deploying AI at scale, such as Workspaces, spend management capabilities, guardrails, and zero-data-retention policies. A core feature also developed is intelligent routing, which incorporates provider-level failover, cost and latency optimization, and quality-aware routing that surpasses simple load balancing techniques.

The allocation of the new funding is intended to further scale the existing infrastructure, deepen enterprise-level capabilities, and continue investing in intelligent routing solutions, acknowledging the ongoing need to assist teams in efficiently selecting the optimal model and provider for every request within the multi-model AI era.