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Comparing Hives.co and Fabrico? These are very different tools with some overlap in the idea management space, but designed for different organizational contexts and problems.
Hives.co is an idea management platform focused on collecting and managing employee suggestions. Fabrico is primarily a continuous improvement/Kaizen tool powered by AI, designed to identify improvement opportunities from operations and shop-floor data.
If you are genuinely comparing these two, you probably operate a manufacturing or industrial organization, and you are deciding whether to invest in capturing ideas from your workforce or in identifying improvement opportunities from your operational data.
This page walks through the differences to help you understand which approach fits your organization.
Quick Summary
Hives.co collects ideas directly from your team, organizing them through structured challenges and evaluation workflows. The assumption underlying Hives.co is that your employees know what could be improved, and you want a system to capture those insights and close the loop from suggestion to decision.
Fabrico uses AI to identify continuous improvement opportunities by analyzing operational and process data. The assumption underlying Fabrico is that your operations generate data that, when analyzed with AI, reveals improvement opportunities your team might not see without help. Fabrico also includes a Kaizen component for managing improvement projects.
These are not mutually exclusive. Many organizations use both: employee ideas captured through idea management, and AI-generated improvement opportunities identified through operational analysis.
Core Differences
| Approach | Hives.co | Fabrico |
|---|---|---|
| Core method | Structured idea collection from employees | AI-powered improvement opportunity identification from data |
| Primary data source | Employee knowledge and perspective | Operational and process data |
| Use case | Capturing employee suggestions for CI programs | Identifying improvement opportunities in production/operations |
| Ease of implementation | Quick to deploy (weeks) | Requires operational data integration |
| Team involvement | Broad involvement (all employees) | Operational/engineering teams focused |
Data Requirements
Hives.co does not require your organization to provide operational data. It works with the collective knowledge of your team. You write a challenge ("What ideas do you have for reducing packaging waste?"), your team submits ideas, and your committee evaluates them.
Fabrico is data-driven. To function, it needs access to your operational data (production metrics, process logs, quality data, etc.). This is a higher data integration requirement than Hives.co, but it is also the source of Fabrico's value: identifying improvement opportunities that would not be visible through crowdsourcing alone.
Deployment Speed
Hives.co can be fully operational within 2-4 weeks of purchase. You set up a challenge, invite your team, and begin receiving submissions.
Fabrico requires a more substantial implementation period (typically 2-3 months) to integrate with your operational data sources and configure the AI analysis. The payoff is that it can identify improvement opportunities at scale.
Pricing
Hives.co pricing is published: €695/month (Core), €1,495/month (Pro), €1,995/month (Enterprise). It is a per-organization cost, not based on the volume of ideas or operational metrics processed.
Fabrico pricing is not publicly available and requires a sales consultation. Typically, AI-powered continuous improvement tools are priced based on the scope of operational data and use cases covered.
When to Choose Hives.co
- You want to unlock ideas and suggestions from your entire workforce
- You have manufacturing or service teams with operational knowledge worth capturing
- You want quick deployment without complex data integration
- You need a structured process for idea evaluation and decision-making
- You are building a continuous improvement culture and want employee engagement
When to Choose Fabrico
- You have substantial operational data and want AI to identify improvement opportunities
- You are looking for optimization opportunities that employees might not see
- You have a technical team (operations, engineering) that can manage AI-generated insights
- You have the implementation bandwidth for data integration
- You are running large-scale operations and need data-driven improvement identification
The Best Approach?
Many leading manufacturing organizations use both. They run Hives.co for employee idea capture and contribution, and they use Fabrico (or similar tools) to identify data-driven improvement opportunities. The two approaches are complementary:
- Hives.co scales employee engagement and captures improvements that employees see
- Fabrico scales opportunity identification by using AI on operational data
If you are evaluating continuous improvement tools, consider whether you are trying to solve an engagement/idea-capture problem (Hives.co) or an opportunity-identification problem (Fabrico), or both.
Want to see how Hives.co works? Book a 20-minute demo.
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