From 2–3 months to 1 week: Initiatives that previously required two to three months to develop, validate, and release can now move in about one week.
VIALLION - FINTECH INNOVATION
Accelerating time to market for trading innovation
In a new engagement with Viallion, we redesigned key parts of the engineering workflow behind its systematic trading platform around Claude Code. Since Making Sense had originally developed the platform, the work started from deep product and technical context, allowing us to identify where AI-assisted development would have the greatest impact on delivery, validation, and release.
The result: faster delivery, daily deployments, and independent AI-assisted development.
About Viallion
Viallion is an AI-powered trading automation platform designed to help traders and investment managers turn proven strategies into controlled, data-driven execution workflows.
The platform supports strategy automation, AI-assisted optimization, and real-time execution through broker-integrated systems. It helps investment teams handle large volumes of market data, reduce emotional bias, and operate with greater consistency, traceability, and scalability.
The starting point
Viallion's team was already supporting a sophisticated systematic trading platform, originally developed by Making Sense in an earlier engagement. As AI-assisted development tools became more capable, we identified an opportunity to help Viallion rethink its delivery process and accelerate how high-value initiatives moved from idea to production.
Some initiatives that naturally required longer development, validation, and release cycles could now be approached differently. By applying AI-assisted development to real delivery scenarios, Viallion could shorten validation cycles, support independent experimentation, and build internal ownership of a faster way of working.
THE GOAL
Bringing new trading capabilities to market faster
Our goal was to help Viallion move faster from new trading ideas to validated execution by applying AI-assisted development to its delivery process and creating a repeatable workflow the team could continue evolving independently.
What we did
We worked with Viallion's engineering team through a hands-on enablement engagement grounded in the platform's existing architecture and delivery process. Because Making Sense had originally developed the platform, the engagement started with deep product and technical context, allowing us to focus Claude Code on the parts of the process with the highest impact on speed and validation.
The work focused on the moments that most affected delivery speed and validation: turning requirements into code, creating pull requests, testing changes, and configuring skills for Viallion's product context.
Key initiatives included:
- AI-assisted development enablement
- Development and validation workflow redesign
- Code generation and PR creation practices
- Automated testing support
- Skills configuration for Viallion's context
- Knowledge transfer for independent adoption
A STRONG SOLUTION
The tech stack
To support Viallion's AI-assisted engineering workflow, the engagement centered on Claude Code, used across development, pull request creation, validation, and testing practices. Claude Design was also introduced for selected web and asset design needs.
The broader environment included modern engineering tools and backend technologies that supported Viallion's product context and delivery workflow.
Results
After the enablement phase, Viallion's team continued applying AI-assisted development independently. Shorter delivery and validation loops now allow the team to evaluate more ideas, prioritize stronger opportunities, and bring product improvements to traders and investment managers sooner.
4× faster idea validation: what previously required two full sprints can now be explored by individual team members in about five days.
More ideas tested in parallel: Instead of moving through a sequential validation process, team members can now explore different theories across separate workstreams, allowing more product and business hypotheses to be evaluated at the same time.
Independent adoption after enablement: Once the engagement was complete, Viallion continued using and refining the workflow autonomously, validating the knowledge transfer.
- We are product builders.
- We are result accountable.
- We are strategic partners.
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