What is Tianlang Zhibiao
Tianlang Zhibiao is an intelligent bid assistance platform launched by Hunan Tianlangxing Intelligent Technology, specifically providing bidders with a one-stop AI solution from tender document parsing to bid document generation. The product integrates mainstream large models such as DeepSeek, Kimi, Doubao, and Wenxin Yiyan with a self-developed 100K+ bid document training model, covering all scenario types including services, engineering, goods, supervision, and blind bids. Users only need to upload the tender document, and the system can intelligently interpret requirements, accurately match scoring points within 3 minutes, and automatically generate a clearly structured, richly illustrated, and highly original bid proposal, completely avoiding the risk of bid rejection through AI plagiarism checking and automated compliance inspection.
Main Features of Tianlang Zhibiao
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AI-Precise Framework Construction: One-click generation of the overall bid document framework, increasing production efficiency by 500% and greatly shortening the bid writing cycle.
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Intelligent Tender Document Parsing: After uploading the tender announcement PDF, the system automatically extracts key information, scoring point mapping, and chapter structure, and outputs a complete draft within 3 minutes.
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Multi-Model Fusion Generation: Integrates mainstream large models such as DeepSeek, Kimi, ByteDance Doubao, and Wenxin Yiyan, and combines a self-developed 100K+ professional bid document training model to ensure parsing and generation accuracy.
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Full-Industry and Full-Scenario Coverage: Supports intelligent recognition of multiple project types such as service, engineering, goods, supervision, and blind bids, and matches professional bid document content generation.
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Dual-Track Generation of Technical Bids and Commercial Bids: Simultaneously supports the full-process intelligent generation and management of technical bids and commercial bids.
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AI Plagiarism Checking and Deduplication: Automatically identifies repeated expressions and similar paragraphs, and generates original content through semantic restructuring and sentence optimization, completely avoiding the risk of bid rejection due to similarity.
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Precise Verification of Substantive Clauses: Like a "super examiner," checks substantive requirements such as "must" and "shall not" one by one, and accurately marks risk points.
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Automated Compliance Inspection: Precisely locates bid rejection clauses (such as signature and seal, binding and sealing, format errors), automatically unifies formatting, and eradicates low-level mistakes.
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Automatic Generation of Construction Gantt Charts: The generated construction progress Gantt chart is professional and standardized, and can be directly used in formal bid documents.
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Database and Material Management: Built-in historical project material database, supporting the accumulation and intelligent reuse of enterprise cases, becoming more aligned with enterprise style the more it is used.
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Expert Many-to-One Support: Equipped with a bidding strategy consultant team with 300+ winning projects and an AI technology development team, providing full-cycle support from deployment to tactical upgrades.
How to Use Tianlang Zhibiao
- Register on the Official Website: Visit the official website of Tianlang Zhibiao https://www.tianlangxingai.com/, register and log in. In the left navigation bar, select the "Technical Bid" or "Commercial Bid" module, and click New Proposal.
- Tender Document Upload and Parsing: Upload the tender document (PDF format supported). The system automatically performs AI parsing and extracts key clauses, scoring points, and chapter structure. The system completes interpretation of the tender document content within 3 minutes and automatically builds the bid document framework.
- Requirement Configuration and Intelligent Generation: Follow the system prompts to check project requirements and configure generation options, match the corresponding industry template, and wait for the system to automatically generate a draft bid document that closely follows the tender requirements with clear structure and rich text and illustrations.
- Content Optimization and Risk Review: Review the response status of substantive clauses and risk point prompts marked by the system, make targeted adjustments, use the AI duplicate check and deduplication function to automatically identify and optimize repetitive expressions, and ensure content originality. Call on historical project materials in the resource library to supplement the enterprise's differentiated advantages and real cases
- Compliance Check: Execute automated compliance checks, confirm that bid-rejection clauses such as signatures and seals, binding and sealing, and formatting and layout have no omissions, and review generated professional charts such as construction bar charts to confirm they can be used directly or fine-tuned as needed.
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Deliverable Export: Export the complete bid document, complete the full process of "generation - approval - signing - upload", and submit the bid.
Key information and usage requirements of Tianlang Zhibiao
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Product Positioning: An AI bid document generation assistant built specifically for bidders, covering all scenarios of the bidding business
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Developing Company: Hunan Tianlangxing Intelligent Technology Co., Ltd., with a team jointly composed of personnel with top-tier major tech company AI R&D backgrounds and 15-year bidding and tendering domain experts
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Underlying Models: Integrated with mainstream large models such as DeepSeek, Kimi, ByteDance Doubao, and ERNIE Bot, combined with a self-developed large model trained on 100,000+ professional bid documents
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Supported Types: Intelligent recognition of multiple project types such as service, engineering, goods, supervision, and blind bid
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Generation Speed: After uploading the tender document, interpret the content and generate a draft bid proposal within 3 minutes
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Efficiency Data: Bid document production efficiency increased by 500%, and winning rate increased by 50%-70%
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Core Capabilities: AI duplicate check and deduplication, automated compliance check, automatic generation of construction bar charts, and precise verification of substantive clauses
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Expert Services: Equipped with a bidding strategy consultant team with 300+ winning projects, providing many-to-one full-cycle support
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Output Characteristics: Clear structure, rich text and illustrations, one-to-one response between content and the tender document, and highly original without similarity
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File Format: Uploaded tender documents must be in PDF format to ensure the file is clear and readable so that AI can accurately parse it
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Bid Document Type Selection: When creating a new proposal, it is necessary to explicitly select the "Technical Bid Document" or "Commercial Bid Document" module
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Manual Review Is Mandatory: AI-generated content is a high-quality draft. Before submission, manual review and fine-tuning must be carried out in combination with the enterprise's actual cases and differentiated advantages
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Compliance Check Must Be Passed: Before formal export, the system's automated compliance check must be executed to confirm that bid-rejection risks such as signatures and seals, substantive clause responses, and formatting and layout have been cleared
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Material Accumulation Suggestion: It is recommended to upload the enterprise's historical project materials in the resource library in advance, so that AI can call them to generate more targeted content
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Duplicate Check Optimization Suggestion: After generation, it is recommended to use the built-in AI duplicate check and deduplication function for optimization, ensuring content originality and avoiding bid rejection due to similarity
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Network Environment: An online platform based on SaaS architecture. A stable network connection must be maintained to ensure smooth generation and parsing
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Browser access: It is recommended to use a modern browser (Chrome, Edge, etc.) for the best operating experience.
Core advantages of Tianlang Zhibiao
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500% efficiency leap: One-click generation of bid document frameworks, completing tender document interpretation and first draft output within 3 minutes, compressing the traditional production cycle of several days to the hour level.
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Significantly improved win rate: Based on actual testing by 5,000+ enterprises, technical bid scores increase by 18%-35%, and the overall win rate increases by 50%-70%.
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Backed by a top cross-disciplinary team: Jointly built by engineers with AI R&D backgrounds from top major tech companies and senior experts with 15 years in the bidding and tendering field, continuously iterating and upgrading against industry pain points.
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Multi-model fusion architecture: Integrates mainstream large models such as DeepSeek, Kimi, ByteDance Doubao, and ERNIE Bot, and combines a self-developed training model with 100,000+ professional bid documents to ensure precise interpretation and generation quality.
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Full-industry, full-scenario coverage: Intelligently identifies service, engineering, goods, supervision, blind bid, and other types of projects, matching highly professional bid document content.
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Content responds point by point to the tender document: Bid document content precisely corresponds to tender requirements, and the generated construction bar chart is professional and standardized and can be used directly.
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Zero-similarity bid rejection protection: The AI duplicate-check and deduplication system generates original content through semantic restructuring and sentence optimization, breaking reliance on fixed templates, and has never caused bid rejection due to similarity issues.
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Automated compliance risk control: Precisely identifies bid rejection clauses such as signatures and seals, response to substantive terms, binding and sealing, etc., and automatically unifies formatting, enabling ordinary clerks to output expert-level documents.
Comparison of similar competitors to Tianlangxing AI Bidding Documents
| Comparison dimension | Tianlang Zhibiao | Lianqi AI | Xiaoxiao AI Bid Document Elf |
|---|---|---|---|
| Core positioning | End-to-end intelligent bid document generation platform | Intelligent bid document content filling tool | NLP generative bid document assistance |
| Generation depth | Automatically parses tender documents and generates a complete draft | Intelligently fills fields based on templates | Generates paragraphs based on corpus |
| Compliance check | Dual-track verification (rule engine + semantic model), error recognition rate 99.2% | Basic field verification | Limited keyword matching |
| Duplicate checking and deduplication | Built-in AI semantic-level duplicate checking, automatically restructures sentences | None | None |
| Corpus updates | Dynamic learning from millions of winning bid documents | Static template library | Corpus updates lag behind |
| Industry adaptation | Covers more than ten key industries such as housing and urban-rural development, transportation, and healthcare | Mainly general templates | Mainly general templates |
| Efficiency improvement | Bid document production efficiency increased by 90%, cycle shortened by 65% | Medium | Medium |
| Win rate improvement | 50%-70% | Not disclosed | Not disclosed |
Application scenarios of Tianlang Zhibiao
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Large state-owned enterprise informatization projects: Precisely respond to all technical requirements and automatically generate high-quality bid documents that meet the scoring criteria.
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Government Smart City Construction Project: Automatically identify disqualification clauses and conduct compliance checks, highlighting technological innovation highlights.
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Engineering Construction Bidding Project: Quickly integrate materials from historical projects and generate targeted construction plans and schedules.
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Government Procurement Project: Ensure the bid document format is fully consistent with the tender documents and avoid the risk of omitting substantive clauses.
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Parallel Bidding for Multiple Projects: Support the simultaneous advancement of multiple projects and alleviate manpower bottlenecks.