Axon Active provides venture capital software development for a Zurich-based client through a dedicated software development team in Switzerland and Vietnam. Seven engineers handle React and Tailwind frontend, Java and Quarkus backend, and Azure cloud infrastructure. Operating in Scrum with two-week sprints, the team ensures steady, iterative delivery aligned with the client's release cadence.
Emerald Technology Ventures is a prominent venture capital firm focused on strategic investments across the energy, automation, and industrial sectors. The organization invests in critical fields such as water and wastewater, packaging and materials, and food and agriculture. Development of its venture capital platform remains central to its mission, enabling investors to explore and evaluate new opportunities more efficiently through digital innovation.
The Innspire 2.0 platform serves as the primary hub — deal flow management software for managing complex deal flows and investor interactions. New investment opportunities originate in Microsoft Dynamics 365 CRM and flow directly into the platform, ensuring visibility for investors. This integrated ecosystem maintains data consistency while enabling seamless communication through automatic synchronization with Microsoft Teams meetings.
To support this scale, Emerald Technology Ventures leverages a dedicated team for venture capital software development delivered to Swiss-quality standards.
The team manages the core development and integration of Innspire 2.0 to enhance the investor experience. Our dedicated engineering team builds features that allow investors to browse live deals, flag opportunities, and schedule meetings with the investment team. This venture capital software development initiative integrates CRM and meeting tools into a single platform, delivering custom fintech software development with seamless real-time data access.
A full-stack engineering team owns features from inception to final deployment without technical handoffs. The team utilizes React, Tailwind, and Vite to build a responsive frontend while Java, Quarkus, and Python power the backend services. This comprehensive ownership model ensures steady system behavior and a consistent user interface across all platform modules.
The data layer utilizes a purpose-built technical stack to ensure fast retrieval and data freshness. Our dedicated engineering team employs SQL Server for relational data, Redis for caching, and Elasticsearch for high-performance search. Additionally, Kafka manages event streaming, forming an event-driven data architecture that keeps the platform reliable as the volume of deal data and investor activity increases over time.
The collaboration follows a structured Scrum model with two-week sprints to ensure iterative and steady delivery. This Swiss-Vietnam software partnership utilizes Azure DevOps for end-to-end lifecycle management, including CI/CD automation and documentation. Engineers and Swiss managers participate in daily standups and reviews to maintain alignment with the client’s release cadence. Long-term team continuity helps preserve deep domain knowledge, ensuring consistent delivery across releases.
A daily overlap window between Switzerland and Vietnam facilitates live meetings and strategic decision-making sessions. Outside of these hours, the team uses Microsoft Workspace tools and asynchronous updates to maintain continuous progress. As engineers stay on the project over the long term, the dedicated development team retains deep domain knowledge that improves overall delivery quality.
The engineering team integrates AI into its daily development workflow to accelerate coding, documentation, and routine engineering tasks. Software developers use GitHub Copilot, Claude Code, and a custom Lovable assistant to improve productivity while maintaining development quality. Every AI-generated output is reviewed, refined, and approved by engineers before integration, ensuring full human accountability. This AI-augmented approach reduces repetitive work, speeds up delivery, and helps the team maintain Swiss-quality standards.
Learn more about how Axon Active governs AI in delivery.
The platform is designed to synchronise data from systems such as Microsoft Dynamics 365 and MS Teams meetings through defined integration layers. Data flows are structured to ensure consistency between systems, allowing investors to access up-to-date deal information and meeting activity within a single interface.
The system uses a combination of technologies—Redis for caching, Elasticsearch for search indexing, and Kafka for event streaming—to keep data updated and accessible. This setup allows users to retrieve deal information quickly while maintaining near real-time data consistency.
Engineers work across frontend and backend components using React, Java/Quarkus, and Python. This shared ownership helps maintain alignment between user interface and backend services, reducing handoffs and enabling more consistent feature delivery.
New requirements—such as changes in deal flow, reporting, or investor interaction—are incorporated through regular sprint cycles. Features are refined incrementally, allowing the platform to adapt without requiring major redesigns or disrupting existing workflows.
The teams share a regular overlap window for meetings and key decisions, while asynchronous communication supports work outside those hours. Shared tools and documentation ensure that progress remains visible, and coordination continues smoothly across time zones.
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