Sirius Smart Label

What is Tianlang Smart Standard?

Tianlang Zhibiao is an AI-powered platform designed to assist with the preparation of bidding documents, developed by Hunan Tianlangxing Intelligent Technology Co., Ltd.

It integrates document analysis for tenders, generation of preliminary tender drafts, verification of submissions, removal of duplicate content, and formatting into a single process.

Main functions

• Read and parse the tender documents.
• Extract qualification, business, and technical requirements.
• Generate a bid document outline and draft.
• Match the template library with the enterprise asset library.
• Check the substantive response clauses.
• It highlights the risks associated with signing, stamping, and binding.
• Omissions and formatting errors were found.
• Reduce content repetition through semantic adjustment.
• Automatic uniform formatting of documents.
• A free trial option is available.

Analysis of tender documents

The system can read the project requirements specified in the tender documents, thereby helping the bidding team to avoid manual reading and repeated extraction of information.

• Upload the final version of the tender documents.
• Import the clarification and correction announcements at the same time.
• Check the project number and the name of the bid section.
• Verify eligibility and substantive terms.
• Extract the time, location, and method of submission.
• Check whether the form and attachments are complete.
• Keep the original file as a reference for verification.

Classification of bidding requirements

Initial draft of the bid document created

AI can combine the requirements of tenders, template libraries, and asset libraries to create a preliminary draft of the outline and chapters, thereby reducing the time needed to start from a blank document.

1. Create a list of scoring criteria and mandatory provisions.
2. Select a template that matches the project type.
3. Import corporate qualifications and project details.
4. Generate a directory covering the scoring points.
5. Create the first version of the content by chapter.
6. Add real personnel, equipment, and plans.
7. Remove irrelevant phrases and repetitive content.
8. The feasibility is confirmed by professionals.

Template library and asset library

The template is responsible for providing the document structure, while the asset library is used to reuse the company’s existing certifications, case studies, team members, and technical capabilities.

Substantive clause review

The system pays attention to mandatory expressions such as “must” and “must not”, and checks whether the bid documents provide an appropriate response to them.

1. Extract all clauses that contain mandatory terms.
2. Distinguish between qualification, technical, and formal requirements.
3. Specify the response section for each request.
4. Check whether the commitment and supporting documents are available at the same time.
5. Confirm the response details in the deviation table.
6. Manual review of high-risk clauses is conducted.
7. Record the corresponding page numbers in the final document.

Risk assessment for bid rejection

AI can highlight common mistakes and errors, but it cannot guarantee that the bidding documents are compliant, nor can it replace professional bid evaluation experts in conducting the final review.

AI plagiarism detection and semantic deduplication

The platform can identify repeated expressions and similar paragraphs, and then create new versions by reorganizing the semantics and adjusting the sentence structure.

• Removing duplicates does not change the technical facts.
• Retain the exact original text of regulations and standards.
• Parameters, amounts, and dates must not be entered incorrectly.
• Avoid creating meaningless long sentences just to reduce word count.
• Do not copy the confidential information of other bidders.
• Original expression does not automatically grant copyright.

Intelligent typesetting

Automatic formatting is used to standardize the styles of headings, text, page numbers, tables, and tables of contents, thereby reducing the need for manual formatting adjustments.

1. Import the format requirements specified by the tenderer.
2. Uniformize the font, font size, and line spacing.
3. Set title levels and numbering.
4. Check for table page breaks and duplicate table headers.
5. Update the table of contents and cross-references.
6. Check the header, footer, and page numbers.
7. After exporting, preview the final file page by page.

Scoring point response matrix

Creating a scoring matrix helps the team ensure that there is relevant content and evidence for each scoring criterion in the bid document.

Guide to Using Tianlang Smart Tags

1. Register and access the Tianlang Smart Standard workstation.
2. Upload the tender documents and supplementary announcements.
3. Check the basic information of the items extracted by AI.
4. Create a list of qualifications, scoring criteria, and mandatory requirements.
5. Select a template and import corporate materials.
6. Generate a draft of the table of contents and chapters.
7. Add real solutions, personnel, and cases.
8. Run substantive clause and risk checks.
9. Use the deduplication feature to optimize repeated expressions.
10. Standardize the formatting and update the page numbers in the table of contents.
11. It is reviewed separately by the business, technology, and finance teams.
12. After export, a separate final review is conducted by two persons.
13. Test the electronic signature and platform upload in advance.

Prices and payment methods

The official website offers a free trial option, but at present the fixed price of subscription plans, the number of uses allowed, or the features available in the enterprise version are not disclosed.

Before making a purchase, it is necessary to confirm the number of times it can be generated, the number of pages in the file, the storage duration, the number of users who can collaborate, the export format, and the refund policies.

How to determine whether to make a purchase

Data security

The official website claims to use encrypted transmission, encrypted storage, off-site backup, and access auditing, and it deletes the tender documents once the task is completed.

• When making purchases, enterprises should specify which data will be stored.
• Distinguish between account details, the material library, and the generated files.
• The deletion time and backup strategy are confirmed through the contract.
• Delete any irrelevant personal sensitive information before uploading.
• Different projects use separate permission spaces.
• Important tender documents are kept with local encrypted backups by the enterprise.
• Confidential projects must comply with the internal confidentiality regulations.

Understanding of promotional metrics

The official website displays promotional metrics such as efficiency, accuracy, similarity, and winning rate, but these should not be regarded as guarantees of the results for individual projects.

• Verification is carried out using the company’s genuine documents.
• Artificial standard answers are created to determine the accuracy of parsing.
• Test simple and complex projects separately.
• Record the creation time and the time of manual modification.
• The outcome of the bidding is also influenced by price and competition.
• Marketing figures must not be included in the bidding commitments.

API and open-source status

To date, no API documentation available for the public, no page for requesting keys, no official SDK, and no verifiable GitHub repository have been found.

Which users are it suitable for

• Small and medium-sized enterprises that need to draft bids quickly.
• Bid specialist for high-frequency processing projects.
• The team in charge of the engineering and design aspects related to the technical specifications.
• Bidding departments of enterprises that need to accumulate relevant materials.
• Consultants and agencies that provide bidding services.
• The project team hopes to reduce format errors.

Product advantages

• It covers parsing, generation, checking, and formatting.
• Conduct a response check focusing on the substantive clauses.
• Generated by combining templates with corporate materials.
• It offers semantic plagiarism checking and expression optimization.
• The official website offers a free trial.
• Emphasis is placed on transmission, permissions, and data security.

Usage restrictions

• AI cannot guarantee that a bid will be compliant or that the bidder will win the contract.
• The metrics advertised on the official website do not equate to promises regarding the outcomes.
• All qualifications and quotes must be verified manually.
• The official website does not disclose the fixed prices of the packages.
• The data lifecycle must be confirmed through a contract.
• Complex technical solutions still require to be developed by industry experts.
• Public APIs and official open-source code have not been confirmed.

Frequently Asked Questions

What can Tianlang Smart Label mainly do?

It supports the parsing of tender documents, the creation of preliminary versions of tender submissions, the verification of essential terms, risk alerts, semantic duplication removal, and intelligent formatting.

Can Tianlang Smart Label be tried out for free?

Yes, the official website offers a free trial option; the specific number of generations allowed, file size restrictions, and available functions are specified on the login page.

How much is the Tianlang Smart Tag?

The official website does not currently disclose the fixed prices of its packages; the costs for individual plans, corporate plans, and customized services need to be checked on the purchase page or by contacting the authorities.

Can Tianlang Smart Standard prevent bid rejections?

It can highlight risks related to substantive terms, signatures, and format, but it cannot guarantee that the bid will not be rejected; ultimately, a professional must review each element carefully.

Can Tianlang Zhibiao perform automatic plagiarism checking?

It can identify repeated and similar expressions and make semantic adjustments, but it cannot conceal plagiarism or alter technical facts by rewriting.

How does Tianlang Smart Label protect data?

The official website claims to use encrypted transmission, encrypted storage, permission auditing, and data deletion after tasks are completed; enterprises should specify these details in the contract.

Does Tianlang Smart Standard provide APIs or open-source code?

To date, no public API, official SDK, or verifiable GitHub repository has been found; therefore, the platform itself should be considered a closed-source service.