AInvestor
中 / EN
Demo
AI Investment Research Workstation
In the Flux of Change
The Anchor of Investment

The primary market is full of variables and fluidity. AInvestor penetrates massive BPs, complex financial models, and unstructured interviews, transforming fragmented information into high-confidence, structured decision views.
Intelligent workflows assist screening, due diligence, and risk control, ensuring every investment decision is based on sound logic, comprehensively improving hit rates.

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About AInvestor
Building Investment“Certainty” Loops
Faster, Deeper, More Traceable
Built for primary market investment institutions
AI-Native Research Workstation
Demo
Into Real Combat, Tested by the Real Market
Deeply co-created with and serving multiple top-tier fund institutions. From pure-software subscriptions to“software-hardware integration” comprehensive privatization deployment, ensuring data boundary control.
Validated by Real Institutions
0+
AInvestor structures uncertainty into evidence, risk, and assumptions; investors make the final call.
Creative Evolution
AInvestor Product Philosophy

Partners

ZGC Capital Atom Ventures Morgan Stanley Cowin Capital Family Office HK Symmetry Investments Fosun Capital Gaorong Ventures
Product
From Unstructured Data
to High-Confidence Output

AInvestor takes over the most tedious data processing for investment managers. It distills massive BPs, complex financial models, and lengthy interview notes into structured, reviewable IC-standard materials, fully freeing the team's core research energy.

Smart Screening & Project Initiation Interface
Demand
Why AInvestor
Scattered information, high collection cost

Project materials come from BPs, contracts, meeting notes, data sheets, and public sources. Manual organization is costly.

Incomplete due diligence dimensions, easy to miss

Team, product, market, technology, finance, and legal information is scattered, making key risks easy to overlook.

Hard to verify data, low credibility

Project narratives need cross-verification with public information, industry data, and other sources.

AInvestor
Report writing is time-consuming and inefficient

Massive time is consumed by repetitive organization and material writing, squeezing the time for real judgment and communication.

Hard to retain institutional knowledge

Methods, templates, and historical judgments of top investment managers tend to stay on personal laptops and in chat logs.

Sensitive materials should not go to the cloud without boundaries

BPs, financials, legal documents, and internal opinions need more flexible localization and privatization paths.

Workflow
What Happens When a Project Enters
AInvestor

Material Parsing & Verification

Upload BPs, financial models, interview notes, and public materials. AI auto-parses and extracts structured information, and cross-verified external facts.

BP · Financials · Notes
01 /03

Multi-Agent Analysis

Market, technology, business, finance, legal, risk, and counter-arguments analyzed in parallel, expanding professional coverage, with each conclusion sourced where possible.

Market · Tech · Finance · Legal
02 /03

Reports & IC Materials

Output screening reports, deep research, risk matrices, due diligence question lists, and IC memos, with export and team collaboration support.

Screening · Deep Research · Memo
03 /03
AMD DeepSeek MCP vLLM
Tech
Geek-Grade Research Infrastructure
Native AI Architecture
Multi-modal data parsing, high-concurrency Agent orchestration, to edge-cloud collaborative compute. Rigorous logic chains and traceable evidence chains support institution-grade, high-difficulty research.
Explore Product Capabilities
Team
Investment-Savvy,
AI-Native Founders
Sun Aoran
Sun Aoran
Founder / CEO / Product Lead
Ajin
Ajin
CTO / Tech Lead
Marvin
Marvin
Architecture Lead / AI Workflow
Wang Shuai
Wang Shuai
Backend Lead / Localized Deployment
Zeyuan
Zeyuan
Frontend Lead / Research Workflow Experience
Real-World Usage
Into Real Combat
Tested by the Real Market
Beyond the demo environment, AInvestor is now deeply embedded in the daily operations of multiple leading investment institutions. In real, high-pressure market conditions, the system processes massive project data every day, assisting institutions in making key decisions from early-stage discovery to IC approval. By continuously absorbing frontline feedback, our underlying expert network is evolving rapidly.
Reports Generated
750 +
Projects Analyzed
150 +
Institutions Onboarded
50 +
Client Feedback
From Real Institutions
Feedback
Investment and promotion departments have massive material organization needs with high scenario fit. We hope to see more complete post-investment management and evaluation modules in the future.
Head of State-Owned Investment Institution
Paid Account · Real Customer
Edge-side solutions and long-term trends are worth following, especially for research scenarios that require privacy and local processing.
Head of Market-Oriented VC
Verified through Exchange
Primary market information is highly non-standardized. AI has clear opportunities in structured research and decision support.
Head of Hong Kong Investment Institution
In Testing
Client Scenario
Client Scenario
Client Scenario
Deployment
Cloud SaaS · Edge Workstation · Institutional Privatization
Choose the Right Deployment Model
Cloud SaaS
Investment Managers & Small Teams
$1,000
/ starting
Explore SaaS
What's Included
Quick onboarding, credit/annual subscription, project library and report export. Suited for investment managers and small teams.
  • Quick Start
  • Credits / Annual
  • Library & Export
  • Institutional Templates
Local Workstation / Privatization
High Privacy & Large Institutions
$198,000
/ starting
Explore Privatization
What's Included
Local data processing, permission audit, data APIs, and O&M support. Suited for high-privacy projects and institution-specific environments.
  • Local Models & OCR
  • Permissions & Audit
  • Data APIs & Library
  • Training & O&M
Contact
Demo /
Request Trial
Business Email
business@ainvestor.cn
Business WeChat
sardesign

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FAQ
What You Might Want to Know
AInvestor is an AI Investment Research Workstation built for primary market investment institutions. We don't position ourselves as a simple 'AI report-writing tool,' but rather focus on project materials, evidence chains, risk identification, institutional templates, human revision, and project memory, helping investment teams transform fragmented information into traceable, discussable, and retainable research deliverables.
First, reduce the time investment managers spend organizing across BPs, financials, notes, and public materials. Second, lower the probability of missing key facts, material gaps, and risk points. Third, turn reports, question lists, and IC materials into reusable workflows. Fourth, ensure institutional knowledge doesn't just stay on personal laptops and in chat logs.
General models excel at open-ended Q&A and text summarization. AInvestor focuses on the execution layer for investment institutions: material package parsing, multi-Agent division of labor, source citations, risk radar, institutional templates, permission audit, project library, human revision, and historical memory. Underlying models will get stronger, but what investment institutions truly need is a professional workbench that embeds into workflows, retains evidence, and accumulates judgments.
Short-term, AInvestor is a research efficiency tool, helping teams complete screening, due diligence, and IC materials faster. Mid-term, it becomes institutional project memory and a decision OS, retaining project timelines, historical judgments, manual revisions, and review data. Long-term, we hope it becomes the decision intelligence layer for investment institutions, supporting scenario simulation, virtual ICs, counterfactual analysis, and judgment quality calibration.
No. AInvestor's goal is to organize evidence, risk, assumptions, and material gaps more clearly, enabling investment managers and ICs to make decisions more efficiently. The system can flag risks, suggest follow-up questions, generate materials, and record revisions, but final investment judgment, accountability, and decisions remain human.
Current commercialization paths include Cloud SaaS, team subscriptions, local research workstations, and institutional privatization deployment. Small teams can quickly try SaaS; teams with higher privacy and local processing needs can choose software-hardware integration workstations; large institutions can customize privatization with permissions, audit, data APIs, private knowledge bases, deployment training, and O&M services.
Investment institution materials typically include undisclosed financing information, financial data, interview notes, legal documents, and internal opinions. Edge workstations and privatization aren't for show—they ensure sensitive materials are used by AI within more controllable data boundaries, while retaining local knowledge bases, permission audit, and institutional templates.
Supports local workstations and institutional privatization deployment. Sensitive materials can be processed locally or in dedicated environments. Public search, external databases, and cloud models can be configured by authorization, task type, and deployment boundary. Data boundaries are more controllable, but we don't make absolute claims like 'absolutely secure' or 'never leaks.'
Don't just check if the text reads smoothly. Instead, look at key fact citation accuracy, material gap recall rate, risk coverage, source traceability, manual revision time, report reviewability, and post-review consistency. AInvestor strives to distinguish verified facts, public sources, model inferences, and information still needing human verification.
Supports BPs, PDFs, Word, Excel, PPT, interview notes, meeting recordings, web pages, public search, business registry, patents, investment events, industry reports, and client's own data. Availability depends on authorization, deployment type, and client's internal data boundaries.
We recommend preparing a desensitized or real project material package, including BPs, financials, interview notes, industry materials, or public links. We can walk through the first project with you, outputting project summaries, risk lists, material gaps, due diligence questions, and report samples, helping you decide whether to proceed with formal procurement.
It does not constitute investment advice. AInvestor's output is solely for research assistance, evidence organization, risk alerting, and material generation, and does not constitute any securities, fund, equity, or other investment advice. Final investment decisions, risk assumption, and compliance responsibility are independently made by the user.
AInvestor
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business@ainvestor.cn

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