A digital structuring desk that answers in seconds.

Underlying technology

Our quantitative backend does the work an investment bank's structuring desk does, in seconds rather than hours. Solving that complexity at scale and speed is what makes personalisation possible at all. AI is the translator between the human approach, the thoughts and views and the quantitative processes that execute on that vision.

What a structuring desk does
01
Investment Idea

A view, a goal or an intention. What the portfolio is meant to do.

02
Investment Process

The rules that turn the idea into weights.

03
Testing & Validation

Backtests, risk decomposition and stress tests against the mandate.

04
Documentation

Fully deterministic and replicable.

05
Execution & Trading

Orders, rebalancing, and the trail that shows what was done and why.

Strategies

The power to build any long term solution.

Ship any portfolio across asset classes, either funds-based or bespoke single stock builds across regions, size segments, fundamentals and themes. With full look-through and 20+ years of historic evidence available in seconds. Drive client trades systematically or notify before a rebalance.

Incorporate your existing investment products into suitable portfolios on the fly.
Fully documented and reproducible systematic approach.
Customer portfolio
Constraints
Risk target 6/10Max loss −12%ESG exclusions
Risk parity
Capital
Risk
Balanced risk contribution, not a balanced ticket.
Core equity
72%
Global core ESG32%
Fundamental ESG22%
Sweden ESG18%
Opportunity
7%
Clean energy4%
Water3%
Fixed income
21%
IG credit13%
Government8%

Illustrative. Both routes run the same documented construction process, so the same inputs rebuild the same portfolio.

Risk

Unified risk enables opportunities.

Analyzera's internal cross-asset factor risk models make it possible to create, test and evaluate any idea, taking into account every major asset class, including private assets and properties. A proper risk backbone is what enables flexibility and possibilities.

Uncover hidden risks and measure diversification efficiently. Create any type of portfolio across asset classes using full look-through on funds.
Measure a client's actual total risk characteristics, without resorting to rules-of-thumb or guesstimates.
Country31%
Sector23%
Style factors19%
Currency13%
Idiosyncratic14%
Property and the mortgage against it enter the same model, so the portfolio is built around the risk the customer already carries.

Illustrative variance contributions. Cross-asset by construction: one covariance structure, not one model per asset class.

Data infrastructure

Personalisation: primarily an efficiency problem.

Lack of personalisation is not a technology issue, the technology already exists. The issue is that it is not unified, and out of reach for most. Serving five model portfolios is easy. Building anything on the fly is a different challenge altogether.

Analyzera's unified tech, data and quant backend enables efficiency and scale. Creation and backtesting of practically any idea within seconds.
Let customers evaluate, change and compare any solution on the fly.
1
Data cachingServed to every process, not recomputed per question
Risk
Market data
Signals
2
UnificationOne engine, not three that have to agree
Risk
Construction
Processes
3
Assets, portfolios, strategies, nodesStructured so any question can be asked, at any time
Assets
Portfolios
Strategies
Nodes

Five model portfolios need none of this. Building anything on the fly, per customer, is what makes it challenging.

See it for yourself.

Next steps

The future of personalised investing starts here. Contact us to learn more and book a demo.

Disclaimer

Analyzera is a technology provider. We are not a financial advisory firm and we do not provide financial advice.

Our software is licensed to regulated financial institutions. Any advice a customer receives is given by that institution, under its own regulatory permissions and its own responsibility. Nothing on this page, in any demonstration, or in any figure shown is an investment recommendation, an offer, or a solicitation to buy or sell any financial instrument. Portfolios, holdings, returns and customers shown in demonstrations are illustrative. They are not client data and are not a forecast of any result. Past performance is not a reliable indicator of future results. The value of investments can fall as well as rise, and capital is at risk.