Is your company challenged with managing complex asset-liability decisions in the face of low yields, inflation, higher volatility, climate related risks and the increasing uncertainty in economic markets?
Ortec Finance provides data-driven decision-support technology for institutional investors worldwide. We serve insurers, pension funds, and asset managers with solutions that help them manage investment strategies, capital, and solvency across multiple horizons.
Our flagship platform, GLASS, enables smarter, faster investment decisions through advanced scenario analysis, AI-driven portfolio optimization, and holistic balance-sheet simulation.
The Challenge for Insurers
Today’s market environment demands more than traditional investment tools:
- Persistent low yields and inflationary pressures
- Rising volatility across asset classes
- Climate-related physical and transition risks
- Increasing allocations to illiquid and private assets
- Complex regulatory capital requirements
We help you turn these challenges into opportunities—with technology that integrates liabilities, investments, solvency, and climate risk in one consistent framework.
Solutions at a Glance
Why Insurers Choose Ortec Finance
- Master market volatility – Anticipate shifts in liquidity, inflation, equity, credit, and climate risks.
- Optimize asset allocation – Guide strategic moves toward private assets while managing ESG and transparency.
- Harness AI – SBML delivers optimal portfolios under complex, constraint-heavy frameworks.
Client Story
-
M&G Investments Part 1
-
M&G Investments Part 2
-
AllianceBernstein
Case Study Title: Optimizing Insurance Portfolios with SBML
M&G partnered with Ortec Finance to pilot our Scenario-Based Machine Learning approach—integrated within GLASS—to optimize portfolios under complex, non-linear constraints.
The result: more efficient portfolios than both the existing strategy and traditional models—improving Mean Surplus vs. CVaR 5% Surplus while managing Market Risk SCR charges.
Case Study Title: Unlock the Next Dimension of Portfolio Optimization
Traditional methods can’t keep up with the complexity of today’s investment challenges. That’s why Ortec Finance, in collaboration with M&G Investments, developed a 3D Scenario-Based Machine Learning (SBML) optimization approach within GLASS.
The result? Portfolios that outperform traditional techniques, balance multiple objectives, and deliver transparency in decision-making.
Case Study Title: Balancing Risk Return and Liquidity in a US Insurance Portfolio
Explore how Ortec Finance and AllianceBernstein used Scenario-Based Machine Learning (SBML) to optimize a US insurance portfolio across risk, return, and liquidity. This case study shows how SBML overcomes the limits of traditional models, enabling smarter, more flexible portfolio decisions for insurers.
Client Testimonial
How we work with you
| 1 Understand your objectives Align on capital, risk appetite, ESG targets, and performance goals. |
| 2 Deploy tailored tools Implement GLASS, ESG, SBML, and risk-modelling frameworks.
|
| 3 Enable decision-making Data-driven insights into ORSA, ALM, capital, and risk, portfolio optimization, and regulatory reporting. |
| 4 Support your journey From integration to governance and continuous scenario updates, stress testing cycles, and policy refinement. |
Ready to see GLASS in action?
Want to discover how our solutions enhance strategic risk management and investment decision-making?
Insurance related whitepapers
How AI can help manage insurance portfolios
This whitepaper dives into how AI is revolutionizing scenario analysis techniques, transforming the stochastic scenario approach—a backbone of investment decision-making for decades—and enabling smarter, faster, and more strategic decisions across industries like pensions, private wealth, and insurance.
REPORT: AI in Insurance Strategic Asset Allocation: Are You Ready for the Next Disruption?
The rapid rise of artificial intelligence (AI) is transforming the institutional investment industry. But what returns can insurers and their third-party managers expect from integrating AI into the strategic asset allocation (SAA) process? What tangible benefits can it deliver?
Trade Wars: A geopolitical stalemate? What’s next for Institutional Investors?
The first ten days of April 2025 will likely be etched in economic history as one of the most volatile and uncertain periods we’ve seen in decades.
Why SAA tools
- 87 % of insurers upgrading budgets for scenario modelling and stress testing*
- 97 % require deeper analysis for rising alternative asset exposures*
- 81 %+ of insurers boosting allocations to private assets—demanding robust simulation tools*
(Source: Ortec Finance global research, May–June 2025)
A few of our customers
Contact
Hamish Bailey
Managing Director UK, Head of Insurance & Investment