Match & Compare Coming Soon
Use Match & Compare to find the right bid software in minutes.
Our pioneering Match & Compare reports provide comprehensive vendor information matched with your bespoke functional, technical and bid team requirements in minutes.
Each bespoke report includes up to twenty matching solutions, as well as heatmaps of your top three Bid Lifecycle matches and a list of the functional features those vendors provide, allowing you to instantly compare your highest ranked solutions.
We are proud that Match & Compare is 100% vendor agnostic. No vendor bias or promoted ranking will ever influence your matches.
Just three easy steps:
1.Provide your contact details
2.Complete the Match & Compare survey
3.Instantly receive your personalised report
*We take your privacy seriously. In accordance with the terms of our Privacy Policy, your contact details will be shared with your top matched vendors for marketing purposes.
Match & Compare
We are passionate about helping you find a bid software solution that meets both your business needs and functional specification.
We start with your business needs. To simplify your journey and match you to the best solutions, we map your priorities and improvement goals to specific phases of the Bid Lifecycle.
1. Which of the following bidding priorities align with yours?
Select up to three.
2. Which of the following improvement goals align with yours?
Select up to three.
3. What industry segment are you most closely aligned to?
4. Typical Deal Profile
Core Bid Team Location
Average Bid/Proposal Volume (monthly)
Size of Bid/Proposal/RFP Team
Typical Bid/Proposal Response
Target Client
5. Size of company?
6. What best describes your role in seeking out a work-winning solution?
7. Where are you on your Bid Software purchasing journey?
Match & Compare
Bid Lifecycle Solution Map
Based on your responses, we have pre-selected phases of the Bid Lifecycle which map to your priorities. These are listed below and highlighted on the Bid Lifecycle.
To create a focussed comparison strategy and match you to the best software, please select a maximum of ten phases.
Click on the Bid Lifecycle to select or deselect phases that best match your requirements. You can also remove a phase by clicking on it below. Hover over any phase for an explainer.
Next, let’s create your bespoke Bid Lifecycle heat map to focus in on your bid-related business priorities.
Based on your previous answers, it looks like these are the parts of the Bid Lifecycle you’re most focused on.
Next, let’s create your bespoke Bid Lifecycle heat map to focus in on your bid-related business priorities.
Ranking your priorities significantly increases the accuracy of your Match & Compare report. Please drag and drop your chosen phases in order of importance to you or your organisation.
Match & Compare
Key Features and Functionality to Support Your Work-Winning Needs
Quickly refine your must have features and functionality using our Popular Solutions, Bid Persona, or Self-select tools.
You can use any one of the tools, or a combination of all three.
Agentic AI
Leverage AI systems that go beyond simple automation and act proactively, autonomously, and iteratively to achieve specific goals. Instead of just executing pre-defined commands, Agentic AI can plan, adapt, and make decisions throughout the Bid Lifecycle with minimal human intervention – making it particularly useful in highly dynamic, multi-step workflows.
AI Virtual Assistant
Enhance bid efficiency by retrieving information, answering questions, automating workflows, and ensuring compliance — ultimately enabling teams to submit higher-quality proposals with less effort. An AI Virtual Assistant in the Bid Lifecycle is an intelligent, conversational AI system that provides real-time task automation, strategic insights, and hands-free support across the entire bid process.
Automatic Speech Recognition (ASR)
Convert spoken language into structured, actionable text. Automatically transcribe meetings, verbal RFP discussions and stakeholder calls, making insights searchable and accessible. ASR ensures critical bid information is captured in real time, reducing manual note-taking and improving response accuracy.
Content Lifecycle Management
Manage content throughout its entire lifecycle, from creation to archival or disposal, using effective mechanisms (e.g. content management systems, workflow automation, collaboration tools, analytics platforms, governance frameworks). This will streamline content management and ensure timely updates and/or retirement when necessary.
Custom Prompt Library
Use a repository of pre-defined AI prompts to generate high-quality, context-aware responses efficiently. These prompts are tailored to specific bid stages, proposal sections, or compliance requirements, ensuring consistency and alignment with company policies and best practices.
Document Automation
Automate the creation, customisation, and generation of documents using pre-defined branded templates with built-in content and placeholders for variable data. This will streamline and expedite document creation, improve accuracy and consistency, enhance productivity and reduce administrative burden.
Estimation And Pricing Development
Set acceptable ranges and constraints for pricing, discounts, and terms during the quoting process as a framework for bid negotiations. This includes analysing factors, such as production costs, market demand, competition, target audience, and profit margin goals to arrive at a reasonable and competitive price.
Generative AI
Generate, refine, and enhance bid content across the Bid Lifecycle. Leverage AI to draft proposals, tailor responses, summarise complex RFPs, and optimise language for clarity and compliance. Generative AI accelerates content creation while ensuring consistency, allowing bid teams to focus on strategy, personalisation, and increasing win rates.
Knowledge Graphs
Configure structured representations of data that link entities (e.g., customers, requirements, solutions) and define their relationships, to enable complex querying and reasoning over interconnected data. In proposals, Knowledge Graphs can link client requirements with the right solutions or content, ensuring comprehensive and accurate responses.
Multimodal AI
Use generative AI to process and integrate multiple data types, such as text, images, and audio, to produce meaningful insights or outputs. Multimodal AI often includes technologies like Automatic Speech Recognition (ASR) and Optical Character Recognition (OCR). In the bid context, it can create visual aids for proposals, analyse diagrams or schematics, generate presentations combining text and visuals, and even transcribe an RFP discussion and extract key points for a proposal draft.
Natural Language Processing (NLP)
Use NLP to understand, interpret, and generate human language. NLP is commonly used for document analysis, sentiment analysis, content categorisation, and automating tasks like extracting key information from RFPs or ensuring that proposals align with specific requirements.
Optical Character Recognition (OCR)
Extract and digitise text from scanned documents, PDFs, and images to streamline bid workflows. OCR enables seamless processing of RFPs, contracts, and compliance documents by converting printed or handwritten content into editable, searchable text — eliminating manual data entry and accelerating proposal development.
Predictive Analytics
Using statistical models and machine learning algorithms, analyse historical and real-time data to forecast future outcomes. In bidding, it helps assess win probabilities, identify potential risks, optimise bid strategies, and prioritise opportunities with the highest likelihood of success.
Retrieval-Augmented Generation (RAG)
Combine Generative AI and Semantic Search to search for and retrieve relevant data and information to generate highly accurate and contextually appropriate responses. This is particularly useful in matching RFP questions with answers stored in a content library or knowledge base.
RFx Parsing / Shredding
Analyse and interpret the structure and content of RFx documents using techniques such as Natural Language Processing (NLP) and machine learning algorithms. Convert unstructured or semi-structured RFx documents into a structured format for easy processing, analysis, and use by procurement systems or software.
Sentiment Analysis
Assess tone and sentiment in text to infer intent or identify potential concerns. In the Customer Requirement Identification Bid Lifecycle stage, analyse client communications to gauge urgency, priorities, or satisfaction. In the Proposal Review stage, Sentiment Analysis can help you ensure that the proposal tone aligns with client expectations (e.g., positive, collaborative tone).
Workflow Automation AI
Streamline, automate, and optimise repetitive, structured tasks within the Bid Lifecycle. It eliminates manual inefficiencies by automating approval flows, content assembly, deadline tracking, and compliance checks—allowing bid teams to focus on high-value activities like strategy and proposal refinement.
If your Self-select list includes everything you need, please continue…
Match & Compare
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