Catapult Price, Features, Reviews & Ratings 2026

Catapult AI is designed to help enterprise teams navigate large volumes of RFP, RFx, and business content. Like many modern platforms, it uses AI to help users search across fragmented information and surface insights faster. This approach reflects a broader shift in the market.

Today, over 78% of enterprise teams use AI to find their way around dispersed documentation, yet most tools still rely heavily on basic search and retrieval.

While Catapult AI helps teams discover information more quickly, its limitations become more visible as organizations scale.

In this blog, we’ll break down Catapult AI pricing & review, examine where the platform works well and where it falls short for growing enterprises. We will also see why teams are choosing Inventive AI’s deep AI RFP automation to respond faster, scale confidently, and win more deals with precision.

Key Takeaways

• Catapult AI is effective for centralized RFx management, content access, and collaboration. However, its architecture aligns more with structured workflows and retrieval than with deep AI-driven automation.
• Its pricing scales with usage, integrations, and team size, making long-term budgeting important for growing organizations.
• Catapult’s limitations become visible when teams require structured workflows, content governance, or validated AI-generated responses for RFPs, RFIs, and security questionnaires.
• Inventive AI differentiates itself with context-aware drafting, strong content governance, and multi-agent automation. This helps minimize hallucinations.
• Businesses moving beyond basic knowledge tools often adopt Inventive AI’s AI RFP Automation to scale accurately, confidently, and efficiently.

Catapult Overview: Key Features and Pricing

Catapult helps teams organize RFx work in one place, collaborate on responses, reuse content, and track progress across bids and procurement activities. According to G2, it maintains an average rating of 4.3/5, with users highlighting its powerful semantic search and unified knowledge experience.

Below are some of the key features of this platform:

End-to-End RFx Management

Catapult supports the full RFx lifecycle, from creating and distributing RFPs to collecting responses and evaluating submissions, all within a single platform.

Centralized Content & Document Repository

Teams can store, retain, and reuse RFP content, past responses, and supporting documents in one centralized location, making information easier to find and manage.

Collaboration & Activity Tracking

It enables multiple team members to collaborate on RFx responses while tracking progress, deadlines, and individual activity to keep projects on schedule.

Workflow Automation & Process Efficiency

The platform automates repetitive RFx tasks and workflows, helping organizations reduce response time, improve productivity, and streamline decision-making.

For teams considering Catapult, the next question is how its pricing aligns with team size, usage, and growth plans.

Pricing Breakdown

Organizations with evolving RFP needs should evaluate scalability carefully, as pricing can increase significantly with more users, integrations, and usage intensity.

Catapult covers many foundational RFx needs, especially around organization and collaboration. The next step is understanding how these capabilities compare when response accuracy, content governance, and scalability become critical.

How Inventive AI Outperforms Catapult?

Inventive AI is purpose-built for high-stakes RFP, RFI, and security questionnaire workflows where accuracy, governance, and scale matter most. On the other hand, Catapult AI helps teams search, retrieve, and reuse information efficiently.

Knowledge automation is useful for overall productivity, but expanding revenue teams need more sophisticated intelligence, organized processes, and AI that comprehends deal context rather than just documents.

As per Gartner, Inventive is rated 5 out of 5. This shows why organizations moving beyond basic knowledge retrieval often adopt Inventive AI’s RFP Automation.

2× Higher Response Quality That Improves Win Rates

Inventive AI delivers responses that are benchmarked at 2× higher quality than competing platforms. This higher level of accuracy, completeness, and clarity helps teams improve RFP win rates, not just generate faster drafts.

Full-RFP Context Awareness, Not Just Question-Level Automation

While many tools focus on answering individual questions, Inventive AI understands the entire RFP as a whole. It captures context across sections and dependencies, ensuring responses remain consistent, aligned, and strategically sound throughout the submission.

Context-Aware Reasoning With 95%+ Answer Accuracy

Inventive AI uses layered reasoning to understand buyer intent and technical requirements. This results in responses with 95%+ accuracy that read like they were written by experienced subject matter experts, not stitched together from generic templates.

Automatic Conflict Detection Across Responses

Inventive AI automatically detects conflicting or contradictory statements across an RFP in real time. This reduces reliance on manual reviews, lowers submission risk, and builds greater trust with evaluators in high-stakes bids.

Outdated Content Detection That Minimizes Rework

The platform flags outdated or non-compliant content automatically, helping teams keep responses current and accurate. This significantly reduces rewrite cycles that are common with large, unmanaged content libraries.

Near Zero Editing Through Built-in Quality Benchmarking

Every response is benchmarked against gold-standard reference content before review. As a result, 66% of responses require little to no editing, allowing teams to move faster without compromising quality.

Trustworthy Outputs and Zero Hallucinations

Inventive AI is built with safeguards that prevent hallucinated or unverifiable content. This makes it reliable for customer-facing proposals where accuracy and compliance are critical.

When compared to the capabilities of Inventive AI, the difference is clear: Catapult AI focuses on managing RFx processes. Its strength lies in workflow structure, visibility, and coordination. But Inventive AI is designed specifically to generate, validate, and govern RFP responses using AI.

Here's what Inventive AI's customers have to say about the platform:

Understanding both platforms requires examining not just Inventive AI’s advantages but also Catapult’s strengths and weaknesses.

Catapult’s Strengths and Weaknesses

It is an all-in-one RFx platform that helps procurement, RFP, and sourcing teams collaborate, manage content, and complete RFx projects faster.

It brings requestors, responders, and content management into a single system with role-based access, audit tracking, and analytics.

Designed to scale from small teams to enterprise workloads, Catapult also offers strong onboarding and 24/7 support.

Here's what people claim about Catapult AI in G2:

Strengths

• Combines requestor (issuer), responder, and content management in a single RFx system.
• Supports the full RFx lifecycle, from creation and distribution to response evaluation.
• Enables team collaboration with configurable permission levels across departments.
• Allows teams to manage multiple content databases and reuse historical responses.
• Provides tracking tools to monitor progress and identify workflow bottlenecks.

G2 Rating: 4.3/5

Weaknesses

• It does not position itself as an AI system that deeply understands the full RFP context or autonomously generates validated responses.
• While workflows and collaboration are strong, accuracy, consistency, and compliance largely depend on human review rather than automated AI-driven validation.
• It does not highlight mechanisms for benchmarking response quality against gold-standard content, which can lead to variability across large or complex submissions.
• The platform is optimized for managing RFx processes and coordination, not for optimizing response quality, strategic alignment, or win-rate outcomes through AI.

Here's a limitation that people talk about on G2:

The platform lacks tech support. One has to learn and understand a lot. So, ideally, it isn't easy to use. 

Must Read: How to Create an Effective RFP Response

Why Catapult Isn’t Enough for Enterprise-Level Needs?

Catapult is a capable RFx management and collaboration platform. It centralizes RFx projects, enables team collaboration, manages content, and provides workflow visibility. These strengths work well for organizing RFx activity. However, enterprise proposal teams face challenges that go beyond coordination and retrieval.

Below is a clear, outcome-focused explanation of why enterprise teams eventually outgrow Catapult.

1. Built to Manage RFx Processes, Not to Govern Response Quality

Catapult excels at tracking RFx workflows and organizing content, but response accuracy, consistency, and compliance still depend heavily on manual review. It does not provide automated validation, conflict detection, or quality benchmarking across responses.

2. Content Is Centralized, but Not Actively Governed

While Catapult allows teams to store and reuse content across databases, it does not automatically detect outdated, conflicting, or non-compliant answers. As knowledge grows across departments, enterprises struggle with duplicate content, version conflicts, and inconsistent messaging without AI-led content governance.

3. Limited Automation Across Complex, Multi-Team RFP Workflows

Catapult supports collaboration and tracking, but enterprise RFP operations require deeper automation. Critical steps like intake triage, SME routing, cross-section consistency checks, and final response validation are not automated.

Inventive AI Goes Beyond RFx Management to Drive Better RFP Outcomes

Imagine your team six months from now. The number of RFPs has doubled, more departments are involved, and every proposal feels heavier than the last. Catapult AI still helps you find information quickly, but the real bottleneck is no longer “where is the content?”. The real concern is “how do we turn all this information into a polished, accurate proposal without slowing the business down?”

That’s the moment every organization faces as it scales. The shift from searching for answers to actually producing answers at enterprise speed.

This is exactly where Inventive AI changes the story. Instead of teams juggling documents, rewriting answers, or manually verifying sources, Inventive AI steps in as a dedicated AI RFP Agent. It pulls only approved knowledge, flagging outdated content, and giving every proposal the accuracy and depth needed to win. It restores confidence, alignment, and control across the entire proposal lifecycle.

So if your process is beginning to strain under higher volumes, more stakeholders, or tighter deadlines, it may be a signal that your team has outgrown general-purpose productivity tools. 

FAQs

1. Is Catapult AI the right tool for managing enterprise RFPs?

It can support enterprise RFx workflows by centralizing content and improving collaboration. But for organizations handling high-stakes, compliance-heavy RFPs, it may not fully address advanced response validation and automation requirements.

2. Can Catapult AI generate complete RFP responses automatically?

No. It is not designed to automatically generate complete, submission-ready RFP responses on its own. It focuses on helping teams organize, search, reuse, and manage RFx content. But it does not produce fully drafted responses that require minimal editing.

3. Does Catapult support content freshness or conflict detection?

No. The platform indexes knowledge but does not evaluate content freshness, detect conflicting answers, or verify whether information is outdated.

4. Is Catapult suitable for cross-functional proposal teams?

Catapult is a good fit for cross-functional teams that need to work together, share content, and manage RFx tasks in one place. However, if your team needs AI to automatically draft, check, and keep responses consistent across large, complex proposals, Inventive AI is definitely a better choice.

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