Let your decisions
evolve towards the best answer.
Gentic AI (evolutionary AI) at ARGenesis uses genetic algorithms, evolutionary strategies and AutoML‑style search to optimise pricing, portfolios, workflows and parameters under real‑world constraints safely, repeatably and under governance.
Multi‑objective · Constraint‑aware · Governed
Evolutionary optimisation snapshot
Running
Generation 5
Initial random strategies
Fitness +5%
70%
Generation 25
Pruned by constraints and fitness
Fitness +10%
77%
Generation 60
High‑performing candidates emerging
Fitness +15%
84%
Generation 120
Stable, robust strategy set
Fitness +20%
91%
Example business output
Search across thousands of pricing, underwriting or capital allocation strategies to find portfolios that balance growth, loss ratio, capital efficiency and risk appetite with full traceability of the chosen solution.
What is Gentic AI (Evolutionary AI)?
AI that searches, mutates and selects to optimise decisions over time.
Gentic AI applies ideas from biological evolution selection, mutation, crossover and survival of the fittest to search complex decision spaces. Instead of guessing parameters or manually testing scenarios, evolutionary algorithms explore many possibilities and converge on high‑performing strategies that respect your constraints.
Where it helps
- Pricing and rating factor optimisation.
- Portfolio and capital allocation.
- Reinsurance and programme design.
- Operational workflow and resource optimisation.
How we work
- Define objective functions and constraints with you.
- Encode strategies, parameters or structures as genomes.
- Run governed evolutionary search at scale.
- Present trade‑off frontiers and recommended strategies.
ARGenesis capabilities
Evolutionary optimisation built for real business constraints.
We bring together actuarial thinking, optimisation expertise and AI engineering to build Gentic AI solutions that are powerful but still explainable and controllable.
Genetic algorithms
• Encoding strategies as genomes.
• Selection, crossover and mutation operators.
• Convergence monitoring and stopping rules.
Multi‑objective optimisation
• Balance loss ratio, growth, capital and volatility.
• Pareto frontiers and trade‑off surfaces.
• Scenario‑based decision support.
Constraint handling
• Regulatory and capital requirements.
• Risk appetite and business rules.
• Soft and hard constraint management.
AutoML & hyper‑parameter search
• Model and feature configuration search.
• Hyper‑parameter tuning at scale.
• Champion / challenger model discovery.
Portfolio & programme design
• Mix optimisation across segments and products.
• Reinsurance structure and attachment strategies.
• What‑if analysis and robust strategies.
Integration with GenieLab
• Trigger evolutionary runs from workflows.
• Human‑in‑the‑loop approvals for new strategies.
• Full audit trail of search and decisions.
Cross‑industry use cases
Searching complex decision spaces for better outcomes.
Insurance
• Technical price and discount optimisation.
• Portfolio mix and capacity allocation.
• Reinsurance structure optimisation.
• Capital and risk appetite alignment.
Healthcare
• Clinic / capacity planning.
• Pathway and protocol optimisation.
• Resource and rota optimisation.
Retail & digital
• Price and promotion optimisation.
• Assortment and inventory strategies.
• Channel and campaign allocation.
Education & public sector
• Funding and resource allocation.
• Programme portfolio optimisation.
• Policy scenario and impact exploration.
Part of the ARGenesis technology framework
Gentic AI turns your AI stack into a learning, improving system.
We position Gentic AI alongside Classic AI, Machine Learning, Deep Learning, GenAI, Agentic AI and strong data engineering, so optimisation happens within clear guardrails rather than as a black‑box experiment.
1. Classic AI & Rule Engines
3. Deep Learning & Transformation
5. Gentic AI (Evolutionary)
7. Applied AI (Industry)
Next steps
Curious where Gentic AI could move the needle most?
We can help you identify optimisation opportunities, define safe objective functions and design Gentic AI pilots that demonstrate value quickly while staying within governance and risk boundaries.