Vertical SaaS, financial market intelligence
Data-driven decision support for investors and SMEs
A SaaS platform built to help investors navigate complex financial markets, where the value is in turning dense market data into decisions people can act on.
Proof at a glance
- Data sources
- Multiple market and financial feeds
- Audience
- Investors and SMEs, not analysts
- Delivery model
- Built into the live platform, no separate tool
- Delivered
- 2023 to 2024
01 · Existing product
A market intelligence platform serving investors and small and medium enterprises with financial data and analysis.
02 · Problem
High-volume, fast-moving market data was accurate but unreadable for users who are not analysts, so the analysis was not reaching a decision.
03 · Constraints
Market data is high volume and fast moving, and the product had to stay interpretable for users who are not analysts.
04 · Why it was hard
Analysis that is accurate but unreadable fails the user, so the modelling work and the product surface had to be designed together.
05 · AI capability added
Analytical and intelligence features that surface signal from market data inside the platform's existing workflows.
06 · How we shipped it
Delivered into the live platform, with interpretation built into the interface rather than left to the user.
07 · Datics role
Data science and product engineering: modelling, the analytical pipeline and the interpretation layer inside the platform.
08 · Outcome
Users get to a defensible decision faster, without leaving the platform to assemble their own analysis.
09 · What came next
The same grounded data layer supports conversational analysis as a next capability.
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