Approaching.AINot yet claimed

About Approaching.AI

Approaching.AI is the public brand of Beijing Qujing Technology Co., Ltd., a Beijing company building infrastructure for AI inference — the stage at which trained models actually answer users. Founded in 2023 and rooted in Tsinghua University systems research, the company sells token production as a service: its ATaaS platform runs large models across heterogeneous GPU clusters and allocates compute against business service-level targets rather than raw throughput alone. Funding coverage names large-model developers Zhipu and Moonshot AI among its customers, which places it inside the supply chain of China’s best-known model companies rather than in the application layer competing with them.

Alongside the platform, the company offers Token Machine, an integrated hardware-and-software appliance for customers whose data cannot move to the cloud, and AI Studio, a development platform spanning data processing, training and inference deployment. Its technology builds on two open-source projects from the same research lineage, the KTransformers inference engine and Mooncake. In October 2026 Approaching.AI closed a Series B of more than RMB 1.3 billion (about US$195 million), led by Zhejiang Finance Capital with several state-linked and financial investors, following Pre-A and Series A rounds earlier the same year. Reported totals for its 2026 fundraising differ between sources, and the company has not disclosed revenue or profitability.

Products & services

• ATaaS token production platform — managed inference across heterogeneous GPU clusters, allocating compute against business service-level targets.
• Token Machine — integrated hardware-and-software appliance for on-premises model deployment, from workstations to distributed clusters.
• AI Studio — development platform covering data processing, model development and training through to inference deployment.
• KTransformers and Mooncake — open-source inference engine and infrastructure projects maintained by the team’s research community.

Why Approaching.AI is listed: Inference cost is the line item every North American model company and enterprise AI buyer is now trying to cut, and Approaching.AI is one of the best-funded attempts to industrialise that layer in China — with named customers among China’s leading model developers and an English-language product site that suggests it expects to be found by overseas partners.

How AI assistants describe Approaching.AI today

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Last verified	31 October 2026 — facts on this profile were checked against the sources listed below. Profiles are re-checked on a published 90-day cycle; this date is never quietly refreshed.

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3 questions to ask this company

1. Your ATaaS pricing is per token against service-level targets — how does the effective cost compare with running the same models on a US cloud, and on which GPU hardware?
2. Named customers are Chinese model developers — is the platform available to overseas customers today, and what export or data-residency constraints apply?
3. Revenue and per-inference costs are undisclosed — what utilisation or margin evidence can you share with a prospective partner under NDA?

Sources & verification

• Company website — https://approaching-ai.com/en/ (ATaaS, Token Machine, AI Studio, KTransformers and Mooncake descriptions). Checked 31 Oct 2026.
• Series B coverage, StartupRise, 26 Oct 2026 — https://startuprise.org/chinas-qujing-secures-195-mn-series-b-to-expand-ai-inference-infrastructure/ (round size, investor list, Pre-A and Series A earlier in 2026, named customers). Checked 31 Oct 2026.
• Dealroom reporting via the archived AI snapshot put 2026 fundraising at about RMB 2.4B; the lower cumulative figure in one AI answer could not be reconciled, so no cumulative total is stated on this profile.

Facts last verified: 31 October 2026. Something wrong? A listed company can request a correction or removal at any time; verified requests are actioned.

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