Introducing the New Finsight Website
We're excited to introduce the new Finsight Technologies website — reflecting who we are today: a specialist financial data, AI and governance company.
Many of you first found us through QuantFlow, our quantitative data and research platform. QuantFlow is still here — but it is now one part of a broader mission: helping financial institutions make their data understandable, trusted and governed for reliable AI use.
Why a New Website?
Our work has expanded from quantitative data infrastructure into a bigger question facing every financial institution: existing data foundations were not designed for AI.
Schemas describe how data is stored, not what it means. Important data is fragmented and hard to discover. Outputs cannot be traced to the data, rules and evidence behind them. And promising AI demonstrations struggle to become governed, production capabilities.
The new website is built around how we address this.
What You'll Find
Finsight AI-Foundry
Our flagship: a modular financial data-foundation framework and implementation accelerator. AI-Foundry connects business meaning, physical data, lineage, evidence and controls across your existing data estate — industry-aligned semantics (including the ISDA Common Domain Model), a semantic runtime, governed business workflows and open interfaces.
Finsight AI-Control
Safety is the show-stopper for AI in finance — an AI capability that cannot be governed, traced and explained will never reach production. AI-Control connects AI governance to runtime behaviour: use-case inventory, risk and regulatory mapping, evidence and approvals, policy enforcement, runtime controls, monitoring and investigation.
Finsight QuantFlow
Our established quantitative data and feature platform — DataInfra, MarketState, FeatureDAG and the execution layer, with 133 feature types and full documentation. Everything QuantFlow users rely on remains available, now under the Finsight umbrella.
Services
Focused, senior-led engagements: data foundation assessment, financial semantic foundation, governed use-case implementation, and specialist advisory — shaped around your institution, not a predetermined transformation programme.
What We'll Share Here
This blog will continue to cover:
- AI-native financial data foundations — semantics, ontologies, knowledge graphs, evidence and lineage
- Governed financial AI — safety, controls and runtime assurance in practice
- Quantitative infrastructure — QuantFlow system design, market microstructure and research workflows
- Architecture and implementation — real design decisions and trade-offs from real delivery
Much of the research behind AI-Foundry is also written in the open on Data Ninjago, an ongoing series worth following alongside this blog.
Our Goal
The same principle runs through everything on this site: think broadly, implement narrowly, prove value early — reusable foundations, shaped around each institution, with safety by design.
If any of this speaks to a challenge you're facing, start a conversation.
— Finsight Technologies