We provide consulting services to make (re)insurers, brokers and insurtech more efficient, accurate and scalable.
Our expertise fosters innovation and collaboration between business and IT teams while ensuring robustness and continuity of projects.
We advocate for a technology usage that supports business purpose and people.
We make developments as simple as possible and streamline infrastructure integrations.
We adhere to market standards that guarantee best coding, testing and security practices.
We create solutions, metrics and documentations that you can understand, follow and trust.
We follow AI open sources initiatives, tools, startups to ensure up-to-date technologies.
We give importance to people onboarding, communication, change management.
We have developed competencies to assist the value creation in insurance, from prototyping and strategising to production release and monitoring.
• Web parsing
• Identification and collection of open data
• Aggregation and standardisation of APIs
• Synthetic data generation (tabular, textual)
• Data quality analysis and outlier detection
• Modelling for data imputation
• Feature engineering for Natural Language Processing and Computer Vision
• Data preparation and transcodification
• Internal policies (rules, process, roles)
• Technical and business controls
• Data flows and database management
• Data catalog creation and dashboard
• PoC in Natural Language Processing, Computer Vision,
Time Series, Geo Learning
• Machine Learning for pricing, reserving, claims
analysis
• Low-code project development
• Model integration and ML engineering
• MLOps strategy set up, metrics definition
• Feedback systems design, active learning
• Deep Learning advanced study and interpretability
• Uncertainty of models and adversarial data
• Model testing and poisoning
• Cartography of models for audit
• Federated learning framework
• Use of new types of data (geo, text, images) to enhance
reserving, pricing, modelling
• Data augmentation (tabular, unstrutured) for stress-tests, privacy tasks
• Database creation, connection to APIs to sustain
actuarial tools
• Regulatory requirements production, control
automation, reports and policies definition
• Machine Learning for claim management, pricing
sophistication, individual reserving, capital modelling,
biometric or behaviour predictions, natural catastrophes and
emergent risks study.
• Time Series forecasting using Deep Learning for
weather index, financial scenarios
• Bayesian Neural Networks for uncertainty model study
• Tech advice (architecture, IT follow-up) and
daily coding support
• Project optimisation (coding, computing, delivery
automation, testing)
• Migration (Excel, Access, SAS to web app, APIs)
• Containerisation and deployment, cloud services
copilot and maintenance
• Analysis of legacy code, existing systems
• Feedback report, technical specifications, proposal of actionable recommendations
• Project management, cost analysis, retro-plannification
• Stack definition and architecture
• Backend development and REST APIs
• Serverless architecture configuration
• Progressive web app design and development
• Database integration
• Machine Learning models integration and interface
• Unit and End-to-end testing
• Code and architecture improvement
• Software security review
• Unit and End-to-end tests automation
• Software compliance automation and control
• Development guidelines and methodology review
• Analysis of existing infrastructure
• Proposal of actionable recommendations
• Migration of existing elements to the cloud
• Build and improvement of infrastructures for a project
or a dedicated team
• Management of networking constraints and link between
on-premise and cloud networks
• Securing of infrastructures
• Management and monitoring of live infrastructures,
preset regular support
• Intervention in the event of an accident, recovery plan
• Cost follow up, improvement proposals
With more than twelve years of experience in actuarial science, data science and computer science, we have developed projects that cover the whole insurance value chain.
Automation of the extraction of key criteria from reinsurance treaties and transcodification to a standard referencial
Indexation and semantic search of thousands of documents to explore financial reports, terms and conditions documents, contracts
Training of a Deep Forest model with LidarHD, BD Ortho aerial images to detect trees around buildings for drought risk feature engineering
Entities extraction, text cleaning and classification. Machine Learning model for severity prediction and personal line pricing for cyber risk
E-learning content creation related to Machine Learning and coding. Development and deployment of a platform for online courses and live coding
Deep Learning classifier to identify clause type in contractual documents, and estimation of outlier scores to measure legal risk
Rules parameterisation based on natural language, development of a web app to present the results as a data visualisation dashboard for internal control and underwriting rules evaluation
Data preparation, visualisation and large claims modelling using Supervised Machine Learning for reserving purpose. Web app development for customers
B2B pricing web app for life reinsurance portfolio with dashboard, quoting workflow, etc
Sanction compliance analysis for new customers and intermediaries. Human peer review through a web app and email reports
Brokers technical accounting analysis automation. From unstructured to structured data for control automation and storage
We have worked with great insurance, reinsurance, brokerage firms worldwide, but also tech and consulting companies, universities and research labs.
Do not hesitate to book a quick chat with us so that we can discuss your project further.
