We don't stop at quickly shipping software that fits the market.
After launch, we keep monitoring each product's data and financials to support its operations and growth.
The same quant and market-regime research also drives our Venture Capital and Public Equity Investment.
We combine Quantitative Research, Software Engineering, and Business Management into one platform that creates products, operates companies, and allocates capital.
Real-time news and industry data, combined with trend analysis and quant models, tell us the current market regime.
From consumer behavior, industry growth, competition, capital flows, and structural shifts, we find products with real demand in today's market, not just trends.
Each opportunity becomes new software, a data product, or a digital business.
We match each product with creators whose followers fit its customers.
Creators don't just promote. They run branding, marketing, customer communication, and operations as their own small business.
We provide the technology and operations that turn their Audience, Trust, and Distribution into real, lasting revenue.
We guarantee continuous monitoring after hand-off. Revenue, conversion, acquisition cost, retention, marketing efficiency, costs, and cash flow are analyzed automatically to forecast performance.
When something goes wrong, we find the cause in the data and propose the fix.
Researchers from SKY and Ivy League universities support creators with industry, competitor, and financial analysis and strategy.
We quickly build what research finds: web services, AI tools, data platforms, and automation, each shaped to the customer's problem.
Usage and operating data keep refining features, pricing, user experience, and the business model.
The result: products built to grow over the long term, not just MVPs.
Creators' existing communities are our first distribution network.
Follower, content, purchase, and conversion data show which creator and product pairs will perform best.
Instead of big ad budgets, we run our own growth engine: more growth brings more data, and better next launches.
By analyzing industry growth, earnings, valuation, regimes, macro variables, and capital flows, our systems find investment opportunities in both private and public markets.
Early-stage opportunities lead to venture capital investment; analysis of listed companies leads to equity investment.
New industries reveal companies, companies reveal new markets, and in those markets we build again.
We analyze markets and companies with data.
We turn the opportunities we find into real products and systems.
We distribute and operate products, and allocate capital again.
We are building one integrated system that analyzes markets, builds products, operates companies, and allocates capital.
Research published by Paratus Nexus across four disciplines.
Research in this category will be published here.
Research becomes software. We build the products, the infrastructure they run on, and the distribution that launches them.
We are partnered with more than ten influencers. Their audiences are our first distribution channel, measured and matched to each product before launch.
Three product lines built on one research and software stack.
Factor, regime, market, and valuation models delivered as usable tools.
The same models used for our own research and investment decisions, packaged with clean data access and documented methodology.
Market and audience research translated into tested business systems.
Tools that size markets, compare business models, and project unit economics before a product is built.
Products launched, distributed, and improved through creator and influencer networks.
Software matched to creators whose audiences fit the customer profile, with monitoring that continues after launch.
How research runs as production software.
Research runs on production software: data pipelines, models, APIs, and applications connected in one feedback loop.
Each stage activates the next. Every cycle starts with more data than the last.
Examples of what the system produces.
Monitor regimes, factor exposures, and signals in one view.
Compare business models for a market before building.
Match products to creators and track performance after launch.
Module names and specifications are illustrative.
Venture investments and listed equity positions selected through the same research system that drives our products.
Early-stage companies identified through market, product, and business-model research.
An early-stage company identified through the market and product research process that also drives our own software. The investment reflects the crossover between our product research and venture capital.
Sector, business model, and thesis details for Afformation to be added.
Listed companies selected through quantitative, regime, macro, and financial analysis.
The position was built around the memory cycle. Inventory, contract pricing, and AI-related demand indicators pointed to a recovery before it was reflected in consensus earnings.
Shipbuilding upcycle driven by fleet replacement and LNG carrier demand, identified through regime and order-backlog analysis.
Memory-cycle recovery positioned with inventory, pricing, and AI-driven demand indicators.
Strategic-metals exposure and ownership-structure events evaluated with financial and scenario analysis.
Mid-size tanker builder within the same shipbuilding regime, sized as a secondary cyclical position.
Returns and profits as reported by the firm. USD figures converted at ₩1,400.
Across New York, Boston, Waterloo, Seoul, Hong Kong, Cambridge, and London.
Firm direction, capital allocation, and governance.
Chief Executive Officer of Paratus Investment. Oversees capital allocation and governance at Paratus Nexus as standing advisor and sponsor.
Founded Paratus Nexus to connect quantitative research, software engineering, and business operation in one system. Leads the firm's research direction and engineering.
Systematic research across markets, regimes, macroeconomic variables, and asset classes.
Industry, economic, and sector research, including biotech and healthcare review.
Models, data infrastructure, and the software systems that run our research and products.
Internal audit, controls, and operational oversight across products and portfolio companies.
We hire across research, engineering, and business. Tell us what you would build.
We look for researchers, engineers, and operators who can think rigorously and build systems.
Grouped by function. All roles work across research, software, and business.
Develop systematic models, regime analysis, and market research tools.
APPLY →Research industries and markets to identify products and investments.
APPLY →Build forecasting and classification models that run in production.
APPLY →Build data pipelines, APIs, and the applications our products run on.
APPLY →Match products with creators and support them as business operators.
APPLY →Monitor launched products and turn operating data into improvements.
APPLY →Five qualities we evaluate in every process.
Claims are tested against data before they are acted on.
You follow questions across markets, technology, and business.
You can read a model, write the code, and explain both.
You carry work from research to production to results.
You see how research, software, and capital connect.
Four steps. We respond to every application.
Submit your background and what you would build.
We review every application against the role.
A research problem or technical exercise relevant to the role.
A conversation with the founder and the team you would join.