BiaoXing AI tender document

What is the AI bid document from BiaoXing?

BiaoXing AI Bid Document is an intelligent platform for generating bidding documents, developed by Hangzhou BiaoXing Tianxia Technology Co., Ltd.

It is designed for bidding in engineering, procurement, and service-related areas, covering bid document analysis, catalog creation, as well as the generation of text and layout.

Main functions of the AI bidding system for镖行 services

• Upload and parse tender documents such as PDF and Word files.
• Extract the project name, type, scoring points, and key requirements.
• Set the cover, template, number of pages, tables, and flowcharts.
• Automatically generate the table of contents and chapter structure for the bid document.
• The text is generated by integrating industry and corporate knowledge bases.
• Generate charts, flowcharts, and AI images.
• Fill in the content into the template to generate a high-fidelity layout.
• It supports the Web, mobile apps, and WeChat mini-programs.

Four-step process for preparing bids

Step 1: Analyze the tender project

After the user uploads the tender documents, the system identifies the basic information of the project, its sections, tables, images, as well as the scoring criteria.

Multimodal parsing is suitable for complex documents, but the quality of scanned images and certain types of tables can still lead to missed recognitions.

Step 2: Set formatting parameters

Users can set requirements such as the cover design, template creation, estimated number of pages, number of tables, and flowcharts.

The parameters shall comply with the tender documents; there should be no inclusion of excessive text or images merely to increase the length.

Step 3: Generate the directory

The system generates a chapter outline based on the project requirements, to assist the bidding team in establishing an appropriate structure.

The catalog must cover each of the requirements related to qualifications, skills, business aspects, services, and scoring in detail.

Step 4: Write the main text

AI will combine the tender documents with the RAG knowledge base to generate the content for each section, and it is possible to include tables and images as well.

The final draft must be reviewed jointly by the responsible persons from the business, technical, commercial, and legal departments.

Analysis of multimodal tender documents

The platform claims to be able to read the text, heading levels, tables, images, and rating criteria, and convert them into structured data.

When faced with hundreds of thousands of words of text, the system uses intelligent segmentation and summary generation to aid in the understanding of long texts.

• Check whether the file is complete and unencrypted.
• Verify that all pages of the scan and attachments have been uploaded.
• Check each qualification requirement and clause regarding invalid bids one by one.
• Check the scores, thresholds, and supporting documents in the scoring sheet.
• Keep track of the latest versions of clarifications, FAQs, and correction announcements.
• One cannot rely on AI summaries as a substitute for reading the full text.

How does the RAG knowledge base work?

BiaoXing AI offers an industry knowledge base, and it also allows users to create and manage private knowledge bases for individuals or companies.

The system combines vector semantic retrieval, BM25 full-text retrieval, and reranking to match and rank the candidate documents.

• Enterprise qualifications, certificates, and personnel documents.
• Authorized historical bid documents.
• Project examples, technical solutions, and service processes.
• Product parameters, implementation standards, and quality systems.
• Emergency response plans, after-sales solutions, and training materials.
• Latest laws, standards, and internal corporate regulations.

RAG can reduce the generation of unfounded content, but unreliable material can still be produced when the knowledge base contains errors, is outdated, or is missing.

How to build a corporate bid database

1. Organize the materials by qualifications, personnel, cases, products, and systems.
2. Delete expired certificates, incorrect versions, and duplicate files.
3. Indicate the expiration date, scope, and applicable areas for each material.
4. Anonymize information related to customers, employees, and partners.
5. Mark the responsible person and approval date for the approved plan.
6. Set access permissions for departments, projects, and roles.
7. Establish monthly or quarterly update and expiration processes.
8. After the bidding process is complete, the final version and the analysis results are archived.

Images, tables, and flowcharts

The platform can generate content that combines text and images, and it offers functions for searching for images online, creating charts, as well as AI-powered image generation.

Visual content should explain the solution; decorative images must not be used to conceal the absence of key responses.

• The flowchart should be consistent with the actual organization and delivery processes.
• The data in the table must be consistent with the quote and attachments.
• For online images, it is necessary to verify the copyright and commercial usage permissions.
• AI-generated images must not be used to fake project sites, certificates, or performance records.
• Charts must indicate the actual data source and date.
• Check the image clarity and printing quality before exporting.

High-fidelity formatting

The platform uses template vectorization and a rendering engine to fill the generated content into the specified layout.

High fidelity does not necessarily mean that all requirements of electronic bidding systems and paper binding are automatically met.

• Check the margins, font, font size, and line spacing.
• Check whether the page numbers on the table of contents match the actual chapters.
• Check for table page breaks, image cropping, and blank pages.
• Confirm the signing, authorization, packaging, and naming rules.
• Generate an editable version and a final submission version as required.
• Perform an upload pre-check in the target system.

Guide to Using AI Bids in the镖行 Platform

1. Register an account and create separate bidding projects.
2. Download the tender documents, attachments, answers to questions, and correction announcements.
3. After confirming the file version, upload the complete project materials.
4. View the AI analysis results and manually mark the key clauses.
5. Organize the scoring criteria, items that result in disqualification, and the submission list.
6. Select parameters such as template, number of pages, and charts to generate.
7. Generate the directory first and establish a mapping from requirements to chapters.
8. Import the reviewed corporate knowledge base materials.
9. Generate the text chapter by chapter and assign a responsible person to review it.
10. Unify business, technical, quotation, and attachment data.
11. Complete typesetting, signing, formatting, and pre-upload inspection.
12. It must be approved by the authorized person before being submitted officially.

How to review technical bids generated by AI

• Is there a clear location for the response for each scoring point?
• Check whether the technical parameters meet the minimum requirements and any deviation rules.
• Whether the schedule, personnel, equipment, and resources are truly feasible to implement.
• It must be confirmed that the project example belongs to the company in question, and proof must be available.
• Whether the standard specifications are current and applicable to the project.
• Are the flowchart and the textual steps consistent?
• Are safety, quality, schedule, and emergency plans fully addressed?
• Whether the contents of the commitment have been approved by the authorized authorities.

Verification of commercial bid documents and qualification materials

AI can organize structures and examine clues, but qualifications, quotes, and authorization documents must be based on the original proofs.

• Validity period of business licenses, permits, and qualification certificates.
• Requirements regarding the legal representative, authorized agent, and signature.
• Margin, guarantees, payment, and tax rate conditions.
• Employee certificates, social security documents, and proof of employment relationship.
• Performance contracts, acceptance certificates, and amount specifications.
• Consistency between the quotation sheet, the itemized list, and the data entered into the system.
• Disclosure of consortia, subcontracting, and related relationships.
• Credit, penalties, and qualification restrictions.

Red lines for bid compliance

AI cannot provide factual evidence for capabilities that do not exist, nor can it take on legal responsibilities in place of the bidding party.

• It is forbidden to fabricate information regarding qualifications, personnel, achievements, and awards.
• It is forbidden to fabricate test reports, certificates, or photos of the project site.
• It is not allowed to copy the proposals of competitors or those that are protected by copyright.
• It is forbidden to manipulate prices, collude in bidding, or disclose evaluation information.
• Models must not be used to create commitments that exceed the actual capacity to fulfill them.
• The confidentiality and data-related requirements specified in the tender documents must not be ignored.

Bid document version management

After the tender announcement, clarifications, responses to questions, additions, and corrections may be issued; using an outdated version can lead to incorrect responses.

1. Record the download date and source of each file.
2. Assign version numbers to the original tender document and its attachments.
3. Add the Q&A and correction clauses to the list of requirements.
4. Mark the time, parameters, and tables that have been replaced.
5. Run the parsing again and check the affected sections.
6. Check again against the final documents on the bidding platform before submission.

Price and purchase methods

The official website offers a free trial of AI-based bid preparation, a search function for bidding information, consultation services for customizing bids, and access to related events.

As of August 30, 2026, anonymous pages have not disclosed the complete and verifiable amounts associated with AI packages.

• Personal services may include word count, packages, or account balance.
• Fees may be charged separately for the technical bid, the commercial bid, and the bid document review.
• Custom bid documents usually require a quote to be prepared based on an assessment of the project materials.
• The rewards for activities, the balance after top-ups, and the rules for paid packages are different.
• The final price shall be based on the order after logging in or the written quotation.

As it is not possible to verify the total cost of all packages, a price list that might be outdated or misleading will not be included in the main text.

What needs to be confirmed before making a purchase?

• The output range can be a technical bid, a commercial bid, or a complete document.
• Number of pages that can be processed, word count, attachments, and file formats.
• Knowledge base capacity, team accounts, and collaboration permissions.
• Are there additional fees for charts, images, format checking, and export?
• Rules regarding failure, revisions, refunds, and expiration dates of credit limits.
• Invoices, contracts, after-sales support, and customer service hours.

Difference between custom bid documents and AI-generated ones

AI self-generation

Users upload materials on their own, set parameters, generate content, and are responsible for reviewing it and submitting it.

It is more suitable for scenarios where a team already has qualified professionals, an established database system, and a clear review process.

One-to-one customization

Custom services are evaluated, developed, and delivered by human experts, and the cost is usually determined on a case-by-case basis.

Before making a purchase, it is necessary to confirm the number of revision rounds, delivery dates, boundaries of responsibilities, and the specific conditions for returning rejected packages.

Data security and confidentiality

The official website explains SSL/TLS, distributed storage, backup, encryption, access control, and security auditing measures.

These measures cannot replace the bidding company’s own authority, confidentiality practices, and supplier risk management.

• Before uploading, check whether the tender documents permit external cloud processing.
• Remove ID numbers, account details, and unnecessary personal information.
• Trade secrets are authorized on a project- and role-based basis.
• It is prohibited to include competitively sensitive quotes in the shared knowledge base.
• Revoke account permissions promptly after leaving the job or when a project is completed.
• Confirm the file retention period, deletion methods, and backup strategy.
• Retain audit records for creation, modification, approval, and submission.

Supported platforms

Biaobiao Xing offers web versions, mini-programs, as well as iOS and Android apps, allowing access to its services from multiple devices.

The actual functions of AI-based bidding tools, as well as the experience related to file uploading and formatting, may vary depending on the device used.

Which users are it suitable for

• Companies that bid on construction projects, as well as for procurement and service-related tasks.
• Bid specialists who need to improve the efficiency of preparing initial bid documents.
• A team that possesses a database of historical solutions and qualifications.
• Managers who need to standardize the management of templates and knowledge assets.
• Business professionals who need signal search and subscription services.
• Bidders who need custom bid document preparation services.

Product advantages

• It is a complete process that ranges from bid analysis to the creation of the text and its formatting.
• It supports multi-modal parsing and chunking of long documents.
• Companies can create private RAG knowledge bases.
• Supports charts, flowcharts, and a combination of text and images.
• Offers multiple access points via Web, apps, and mini-programs.
• It also offers bidding services, a database, and customization services.

API and open-source status

As of the time of verification, the official website did not provide developer API documentation available to the public.

Nor was an official open-source repository for the complete AI bid submission product from BiaoXing found, so it cannot be classified as an open-source tool.

Usage restrictions and precautions

• AI parsing may miss scanned pages, tables, and attachments.
• RAG cannot eliminate outdated information and errors in the knowledge base.
• The generated content must not fabricate information regarding a company’s capabilities or certifications.
• Online images and AI-generated images require verification regarding copyright and authenticity.
• High-fidelity formatting still needs to undergo a preliminary system check.
• The public page does not show the complete amount of the package for verification.
• The tender documents and company information may contain trade secrets.
• The ultimate responsibility for the bid lies with the bidder and the authorized personnel.

Frequently Asked Questions

What can the AI bidding tool from Biaoxing do?

It can parse tender documents, generate tables of contents and main text, and use a knowledge base to create charts as well as high-quality formatting.

Can the AI bidding tool from Biaoxing be used for free?

The official website offers a free trial as well as free keyword searches; however, full creation, verification, or customization services may require payment.

How much is the AI bid from Biaoxing?

The anonymous public page does not display the full amount of the package; the actual price should be based on the order after logging in or on the written quote provided by customer service.

Can bids generated by AI be submitted directly?

No, it is necessary to check each scoring criterion, item that leads to disqualification, qualifications, quotation, commitments, format, and attachments one by one.

Does BiaoXing AI support enterprise knowledge bases?

Supported; the official website describes personal or corporate private RAG knowledge bases, as well as capabilities for mixed retrieval and reordering.

Which platforms are supported by Biaoxing AI’s bidding solutions?

The official website offers access via Web, WeChat mini-programs, iOS, and Android; the specific functions are determined by the pages on each platform.

Does Biaoxing AI offer open-source versions of its bid solutions or APIs?

As of the time of verification, no public developer API was found, nor was there any official open-source code repository for the complete product.