AlphaPai: Initiation of Coverage

GAII Intelligence defines the AI Research & Intelligence market as software that applies generative and agentic AI to the research process of professional investors: locating candidate securities, assembling and interrogating evidence, producing written analysis with traceable sources, and monitoring positions once held. Buyers are hedge funds, long-only managers, multi-manager platforms, family offices and allocators; the economic buyer is typically the chief technology officer, the head of research, or a portfolio manager with a technology budget.

Capabilities we treat as mandatory

• Evidence retrieval at scale: the ability to search and reason across regulatory filings, transcripts and news, and across documents the client supplies.
• Source traceability: every material claim in an output must be reachable back to the passage that supports it.
• Institutional data handling: a stated position on where client data goes, how long it is held, and whether it is used for model training.

Capabilities we treat as differentiating

• Persistent state: the system remembers a thesis, a coverage list or a position between sessions and acts on it without being re-prompted.
• Workflow surfaces: delivery inside the applications analysts already use — the spreadsheet, the research management system, email and messaging.
• Owned or exclusive content: material that a competitor cannot obtain by signing the same third-party contract.
• Published evaluation: a measured, disclosed accuracy methodology rather than an assertion of quality.

AlphaPai competes in China with Wind (Alice), Hundsun's WarrenQ, Gangtise, Comein, iFinD and East Money's Choice. Outside China there is no close equivalent: AlphaSense and Aiera cover events and transcripts under different sourcing models.

The following are the capabilities and characteristics that, in our assessment, most distinguish AlphaPai within the AI Research & Intelligence market. Each is drawn from publicly documented product capability, published interviews with management, or independent hands-on review.

• Adoption: 120,000+ professional users at 8,000+ institutions, up from 70,000 a year earlier (company).
• Meeting automation: Attendance across ten-plus platforms through about 50 workflows, including dial-in for phone meetings, with specialist speech correction.
• Capital and backers: About RMB 600m in twelve months from GL Ventures, HongShan, Qiming, China Insurance Investment and others.
• Agent platform: PaiWork workstation with multi-agent tasks, Skills marketplace and AI PPT (2026).
• Ecosystem: iRaB benchmark with Shanghai Jiao Tong, Fudan and six brokers; partner programme with 40+ broker research institutes and data vendors.
• Buy-side design: Founded by a former deputy head of research at a Chinese fund manager.

The following are factors that prospective clients should weigh, and areas where our public review did not find sufficient evidence to reach a settled view. Several are common across vendors at this stage of the market and are not specific to AlphaPai. We encourage prospective clients to raise each of them directly with the company; we have done the same, and will update this note as answers arrive.

• Content-sourcing ruling: The Shanghai IP Court upheld in May 2026 that offering restricted roadshow content beyond brokers' whitelists was unfair competition (RMB 4.1m, takedowns, apology). Buyers should confirm how sourcing has changed.
• Compliance exposure: Clients using a tool that records restricted meetings carry their own information-barrier risk.
• Model disclosure: The current base models are not disclosed, and citation controls were not located.
• Security evidence: Only an unnamed "international standard" certification is cited; MLPS, ISO 27001, SOC 2 and private deployment were not located.
• Pricing: No public pricing.
• Global fit: China-hosted and A-share-focused; cross-border data rules apply.
• Evidence: User, penetration and attendance figures are self-reported.

AlphaPai is operated by Xuntu Technology (Shanghai) Co., Ltd., branded Rabyte, registered in June 2021 in the Shanghai Free Trade Zone. Founder and CEO Li Luodan previously built the data lab and was deputy head of research at a Chinese fund manager; co-founder Cui Yuchun built analytics at FactSet, and CMO Yu Chunyan held China sales roles at S&P Global and Thomson Reuters.

Rabyte raised more than RMB 100m (Pre-A, October 2025) led by GL Ventures and HongShan, about RMB 200m (Series A, March 2026) led by Qiming, HongShan and GL Ventures, and more than RMB 300m (Series B, September 2026) with China Insurance Investment, GF Xinde and Qiming; China Renaissance advised. Valuation and revenue are not disclosed.

Company-reported figures are shown as such and are not independently verified. Verification is carried into the vendor questionnaire.

AlphaPai combines meeting automation with an agent workstation. Figure 2 sets out our assessment of how it maps onto the investment workflow.

Meeting assistant

Automated attendance, transcription and minutes across roadshow and meeting platforms.

Market clues and reading

Broker viewpoints, WeChat analyst accounts, meeting calendar and alerts.

PaiWork workstation

Multi-agent research tasks, financial database, online Office tools and Skills (April 2026).

Agents and AI PPT

Company one-pagers, earnings reviews, research outlines and presentations.

Scope of the product today

We did not locate an English product interface, a public API, consensus estimates or an Office add-in.

AlphaPai launched on GPT-3.5 in 2023 and describes a strategy of calling models by API rather than fine-tuning. Proprietary layers include financial speech correction, meeting-notice parsing and the "PaiPai" reasoning framework.

The iRaB agent benchmark, built with two universities and six brokers, was announced in June 2026; we did not review its results.

The core asset is meeting and roadshow minutes, which the company says cover most mainstream platforms. Broker viewpoints, analyst WeChat accounts, a financial database and partner data from LSEG, Morningstar China and Nasdaq complement them.

The court ruling limits distribution of restricted content; the 2026 partner programme points toward licensed sourcing. Consensus estimates were not located.

AlphaPai fits the daily routine of a Chinese equity analyst: attending meetings, tracking broker views and drafting first-pass research.

Modelling and desktop integration are limited.

Rabyte cites an unnamed international security certification, distributed encryption and no data leak in two years, and describes partner permissions and metering. Figure 3 sets out what our public review located.

We would encourage buyers to request certifications, deployment and data-residency options, model providers and post-ruling sourcing controls.

The offsetting factor is backing: tier-one and state-linked investors committed about RMB 600m in twelve months.

Pricing is not published; paid institutional tiers and trials exist.

The value case is analyst time saved on meetings. Buyers should price compliance review into adoption.

AlphaPai sits in the Emerging quadrant of the GAII Intelligence Matrix, with momentum among the highest in our coverage and enterprise evidence among the lowest.

GAII initiation universe, 20 October 2026. Scores as currently published on the GAII Intelligence page; preliminary and based on public information.

11.1 Where AlphaPai is strongest relative to peers

• Against Chinese terminals, on meeting automation and agent workflow.
• Against roadshow platforms, on cross-platform coverage.
• Against global research AI, on A-share depth.

11.2 Areas of narrower functional focus

AlphaPai has built depth in meeting content and adoption rather than governance or global reach.

• Compliance: adverse content-sourcing ruling.
• Disclosure: models and certifications undisclosed.
• Coverage: China-focused.
• Commercial: no pricing.

Scores are on a 0–10 scale. Each dimension score is the mean of its sub-criteria, and the GAII Overall Score is the weighted mean of the six dimensions. The detailed sub-criteria scores that build each dimension are set out in Appendix A.

These are the areas where our public review did not find sufficient evidence to form a settled view. We have put them to the company and will update this note when they are answered. Prospective clients may find them a useful agenda for their own evaluation call.

• How content sourcing changed after the May 2026 ruling.
• Controls preventing distribution of restricted meeting content.
• Base models used and where they are hosted.
• Named security certifications, including MLPS.
• Private deployment options.
• No-training and retention terms.
• Pricing.
• Named institutional clients.
• iRaB results and models tested.
• Licence scope of the broker partner programme.
• Plans for English and overseas availability.
• Headcount.

This note is an assessment of a vendor against a defined framework, not a recommendation to buy or to decline. The following are the considerations we would put at the centre of an evaluation of AlphaPai specifically.

If you are a fundamental equity manager

• Relevant mainly for China coverage.
• Confirm with compliance before using meeting minutes.
• Test agent output on A-share names.

If you are responsible for technology or vendor risk

• Open with Figure 3; request certifications.
• Assess cross-border data rules.
• Review post-ruling sourcing controls.

If you are assessing the category rather than the company

• Chinese research AI is scaling fast on domestic capital.
• Content provenance is becoming a legal question.
• Benchmarks are being built with brokers and universities.

Each dimension score in Section 12 is the mean of the sub-criteria below.