Scalable building-blocks for Data-Powered Research and Investment Teams
Develop and Deploy sophisticated Multi-Factor Strategies with Confidence
Connecting Human Brains,
Data and Technology
We all appreciate learning from data, but the traditional data analysis workflow is isolated and fragmented, making collaboration hard. We want to change that.
With Quantifio, we intersect advanced data science with collaborative functionality in a way that enables your team to seamlessly work together. We think of Quantifio as the glue that makes it possible to easily compose your own efficient ecosystem for developing, reviewing and sharing research and insight.
Turning Data Into Products AS
We develop Quantifio, a Data Science Platform-as-a-Service (PaaS) initially targeting data-powered teams within Investment Research and Asset Management. Our team has 10+ years of experience from the industry
Collective Decision Making
Collective decision making trumps individual decision making every time – when it is done well. Quantifio is built for collaboration in cross-functional teams, connecting domain expertise with technical expertise
Redesigned Operating Model
The call for transparency and reproducibility in research has never been louder. Delivering on this promise requires a new operating model. Down to its basics it is about connecting human brains, data and technology
Quantifio offers the most efficient, robust and trustworthy data analysis workflow. Core technologies, applicable across industries, make our clients excel in the new regulation-heavy climate for quantitative research
Embrace the new climate for Research and Investment Products
Are you interested to learn more or explore a possible partnership with us? Please get in touch.
The Current Operating Model
The current process in which data-powered teams work and interact is broken or at best bearable. Multiple functions, competing priorities, tight resources and different people touching the same information yields a high operational risk and require a new operating model
The modern Data Product
Research and insight is fresh produce, as the value of information decays with time. Responding fast and delivering high-quality research is key. Tailoring and packaging research in interactive data products, that can be accessed on a marketplace, has great potential
Transparency and Reproducibility
To achieve data analytics at scale one need teams with clearly defined roles and responsibilities, as the hybrid-role fails with all the moving parts. To ensure integrity and trust in results, anyone that stands to benefit from the research needs a way to be involved in the process
Utilizing the new competency
In order for companies to put the emerging tech-savvy competency to use, a new standard in enterprise software is needed. Close and seamless interaction between domain expertise and technical expertise opens up for great opportunities and a much more efficient operation