The Modern, AI-Native Alternative to Loopio

Why Agencies are Leaving Loopio for Velocibid

Loopio defined the RFP response category for the last decade. They pioneered the concept of a centralized content library and helped thousands of enterprises standardize their proposal processes. However, the platform's architecture reveals its pre-AI origins, and many teams are discovering that modern alternatives offer significant advantages.

The "Library Maintenance" Trap

The core challenge with Loopio is the ongoing maintenance burden. Your team must manually tag, categorize, and update thousands of distinct Q&A pairs in their content library. Every time your company policy changes, every time you get a new certification, every time your product evolves—someone has to go into Loopio and update the corresponding entries.

This creates a hidden cost that many organizations don't anticipate. We've spoken with Loopio customers who estimate they spend 10-15 hours per week just maintaining their library. That's a part-time job dedicated to keeping your RFP tool updated.

If the library isn't maintained, the search function starts returning outdated or irrelevant answers. This leads to a vicious cycle: teams stop trusting the tool, start working around it, and eventually wonder why they're paying $20,000+ per year for software nobody uses.

The Velocibid Difference: Zero Maintenance

Velocibid takes a fundamentally different approach. Instead of requiring you to structure your knowledge into rigid Q&A pairs, we use semantic AI (specifically, Retrieval Augmented Generation or RAG) to understand the *meaning* of your documents.

You simply upload your existing materials—past proposals, policy documents, case studies, technical specs—in their original format. Our AI creates vector embeddings that capture the semantic meaning of your content. When a new RFP question comes in, we find the most relevant passages across all your documents, regardless of how the question is phrased.

This means zero library maintenance. When your policies change, just upload the new document. The AI immediately starts using the updated information.

Cost Comparison

The pricing models couldn't be more different:

• Loopio: $20,000+ annual contracts with complex per-seat pricing. Most teams report final costs between $30,000-$50,000/year once you factor in all users. Add implementation fees of $5,000-$15,000 for the initial setup.

• Velocibid: $199/month with unlimited users. No annual commitment, no per-seat fees, no implementation costs. Start your free trial, upload your documents, and begin generating answers in under 5 minutes.

When to Choose Loopio

To be fair, Loopio has its place. If you're a Fortune 500 company with a dedicated proposal team of 10+ people, complex approval workflows across multiple departments, and deep Salesforce integration requirements, Loopio's enterprise features may be worth the investment.

When to Choose Velocibid

If you're a growing company, an agency, or a team that values speed and simplicity, Velocibid is the clear choice. You'll get better AI technology at a fraction of the cost, with none of the maintenance burden.