Through our investment software development services, we help companies to move away from manual, fragmented workflows toward structured, scalable platforms that improve operational efficiency, reduce risk, and support growth without adding unnecessary complexity.
Case Study: Investment Software Development for GlasFunds
GLASfunds is a US investment platform enabling advisors and clients to access private-market investments through a digital system. Django Stars built an internal portal to automate investment workflows, centralize data, and reduce manual operations.
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Team
2 members
Type
Investment Platform
Industry
Fintech/Investment
Platforms
Internal management platform
About the Project with GlasFunds
- We provided Python/Django engineers to modernize the backend, automate core investment processes, and build an internal portal for managing the full investment lifecycle.
- The platform centralizes investment data, client proposals, and capital-call workflows, automating manual tasks and improving processing speed and accuracy.
- GLASfunds needed to replace manual processes with a scalable, automated system that could support growth and reduce operational workload.
- The primary goal was to create a centralized, reliable platform that accelerates investment proposal creation, improves data accuracy, and streamlines internal operations.
Challenges
- Manual data entry slowed operations and increased the risk of errors.
- The team lacked tools for proposals, commitments, and investment tracking.
- Existing workflows did not scale with a growing client base
- High operational effort drove costs and limited flexibility.
- The platform needed automation without losing control over complex investment processes.
Technology Stack
We Delivered For GlasFunds
- Built an internal portal for managing investments, commitments, rounds, timeframes, and proposal workflows.
- Implemented capital-call logic, including fund-locking and prioritization rules.
- Provided an engineering team that accelerated development and improved platform stability.
- Automated client data processing and proposal generation, removing manual bottlenecks.
- Optimized backend performance and structured workflows.
- Delivered centralized dashboards that gave real-time visibility into investments, commitments, rounds, and client data.
Results of the Collaboration with GlasFunds
- The new platform significantly improved operational efficiency and reduced manual workload.
- GLASfunds became able to scale without increasing internal team size, thanks to automation and centralized data.
- Investment proposals are now generated faster and with greater personalization, improving client experience.
- Overall, the system increased transparency, accuracy, and speed across the entire investment lifecycle, strengthening GLASfunds’ competitive position.
