Overview
Intellivotes is an enterprise platform built for large-scale digital meetings and decision-making. Corporations use it to host hybrid events, manage thousands of participants, and record outcomes in real time.
When global organizations began using Intellivotes to conduct board and shareholder votes, one challenge stood out: how to make voting fair, auditable, and fast, even when participants had different voting powers based on their role, class, or shareholding weight.
Leaping Logic was brought in to design and implement a dynamic voting engine capable of handling complex weighted voting scenarios without slowing performance or compromising security.
Challenges
Traditional one-person-one-vote systems don’t fit the governance models of large corporations. Boards, councils, and associations often assign voting power by class — for example, executives might hold 10 votes, senior managers 5, and general members 1.
Before this project, Intellivotes’ voting engine was uniform and manual. Administrators needed to create separate polls for each participant group or manually calculate weighted results after export. The process was slow, error-prone, and unsuitable for real-time decision-making in multi-tier organizations.
The technical and business pain points included:
- No native support for class- or weight-based voting.
- Manual reconciliation of weighted results post-event.
- Limited transparency and auditability in multi-class outcomes.
- Performance degradation under large data loads (10,000+ participants).
The Turning Point
When a multinational client required live, weighted decision-making for a board election with over 5,000 users and 6 voting classes, Intellivotes’ team turned to us and we reimagined the voting engine. The goal wasn’t just to “add weights,” but to engineer a scalable architecture that could process thousands of weighted votes instantly and display accurate results in real time — all while preserving the system’s security and compliance standards.
Solution
Leaping Logic rebuilt the core voting system from the ground up, focusing on precision, scalability, and interoperability.
Architecture
A modular microservice architecture was introduced to separate the vote management, computation, and reporting layers. The voting logic now runs as an isolated service that communicates via secure APIs, ensuring real-time updates without affecting the event layer’s performance.
Class & Weight Computation
Each participant is assigned a voting class (A, B, C, etc.) and a corresponding weight. When a vote is cast, the system multiplies the choice by its class weight and aggregates results dynamically. Weighted totals update instantly in the admin dashboard, showing both “raw” and “weighted” outcomes for full transparency.
Automation & Data Integrity
A validation service checks duplicate submissions and ensures each participant can vote only once per ballot. Email-verified participation, tokenized authentication, and encrypted communication between systems prevent spoofing and replay attacks.
Scalable Embedding
To support enterprise clients integrating the voting system within their own portals, Leaping Logic built an iFrame-based embedding architecture. Each event generates a unique iFrame code that can be embedded securely on external platforms. The iFrame validates users’ identity against the Intellivotes database, ensuring only eligible participants can view or submit votes.
Performance Optimization
Caching and event-driven processing allow the system to handle simultaneous voting sessions for thousands of users, maintaining sub-second response times. All computation runs on load-balanced servers with encrypted data storage.
Results
Before
- Separate votes for each participant group
- Manual aggregation and Excel reconciliation
- Long processing delays during high-turnout events
After
- Weighted results calculated instantly
- 100% automated aggregation and reporting
- Verified integrity of every vote through tokenized validation
Key outcomes (Q4 pilot benchmarks):
- Voting speed: <0.3 seconds per submission
- Accuracy: 100% match between weighted and raw audit logs
- Admin efficiency: 85% reduction in post-event reconciliation time
Why This Approach Works
The logic behind Leaping Logic’s solution is simple but powerful: each vote becomes a structured transaction. By decoupling vote casting from vote computation and introducing weighted logic at the data layer, the platform achieves both real-time performance and mathematical accuracy.
This approach also minimizes database strain and supports enterprise-grade extensibility — clients can now configure class hierarchies, weight schemas, and eligibility rules directly from the admin dashboard.
Business Impact
For Intellivotes, the feature turned a static voting tool into a dynamic decision-making system. Enterprise clients now use the platform to conduct high-stakes elections with speed and confidence.
One client remarked:
“Before, we needed days to finalize results. Now, we see them live — weighted, verified, and ready for reporting.”
From Idea to Impact
Leaping Logic’s partnership with Intellivotes illustrates what happens when design clarity meets deep technical craftsmanship. The team didn’t just code a new feature — they rethought how organizations make decisions at scale.
By turning complex weighted voting into an elegant, transparent experience, Leaping Logic helped transform Intellivotes into a trusted enterprise governance platform.