Analyze claims, loss ratios, and risk without writing SQL.
Cayra lets claims, risk, and underwriting teams query approved portfolio and claims data in plain language to analyze loss ratios, fraud signals, and risk segments without SQL.
Strategic challenges
Insurance executives face critical challenges around data security, risk prediction, and institutional autonomy as they lead their organizations into the future.
We detect fraud risks too late
While fraud patterns form and costs accumulate, executives cannot see them until reports are prepared. We need proactive prevention instead of reactive detection.
Future risk profile is unpredictable
Questions about which segments are risky, which products are profitable, and which regions are problematic are answered with intuition, not data-driven foresight.
Exposing institutional data to external systems feels risky
Cloud-based solutions carry data leakage risks for sensitive policy and claims data, causing organizations to delay modern analytics and fall behind competitors.
Platform dependency threatens institutional autonomy
Relying on external platforms creates risks of losing pricing freedom and strategic control.
Create strategic value from your data
Cayra empowers executives to transform institutional data into strategic decisions. Predict the future while maintaining control through on-premise security.
Build tomorrow's risk strategies from today's data
Cayra gives executives the power to predict fraud and claims trends. Develop proactive strategies instead of reactive reports.
Accelerate digital transformation with on-premise security
Leverage the power of modern analytics without data security concerns. Your sensitive data stays within your institution.
Reduce fraud costs, increase profitability
Minimize fraud losses with predictive risk management, optimize claims expenses, and improve underwriting quality.
Start with the workflows where delayed answers create cost, risk, or review backlog.
Use one insurance intelligence layer across claims review, fraud analysis, risk scoring, and segmentation instead of rebuilding the same context in every team.
Move claims analysis from manual summaries into an action loop
Claims teams should not need separate reporting cycles to decide which cases, patterns, or regions need attention first.
Bring suspicious patterns into one shorter investigation path
Fraud teams can narrow anomaly context faster before opening another manual investigation chain across systems.
Keep scoring, exposure, and pricing questions visible together
Underwriting and leadership teams need one operating context for risk movement instead of reconciling separate scoring views and portfolio notes.
Turn portfolio signals into action instead of another report
When fraud, claims, or risk signals matter, teams need prompts, ownership, and handoff paths rather than passive reporting alone.
Institutional Trust and Data Control
Cayra builds trust through on-premise architecture. Your sensitive insurance data stays within your institution, under your control.
We can leverage modern fraud prevention capabilities without data security concerns. Our sensitive data stays within our institution.
On-Premise Security
Your policy, claims, and customer data never leaves your institution. Cayra runs on your own servers with full data control remaining yours.
Governance Control
You fully control which data is viewed by whom and which questions are asked. Every operation is traceable with transparent audit trails.
Institutional Independence
No need to replace your existing core systems. Cayra integrates with your current insurance infrastructure and preserves institutional autonomy.
These are the kinds of questions claims, fraud, and underwriting teams ask every day.
Show the actual insurance questions Cayra can answer, route, or validate instead of describing analytics in abstract terms.
Strategic Foresight
Predictive questions executives ask for future-period risk and opportunity planning.
Investment Decisions
Strategic questions needed for portfolio strategy and resource allocation.
Risk Management
Questions requiring predictable data to manage institutional risk portfolio.
Institutional Transformation
Strategic questions needed for the institution's data-driven cultural transformation.
Questions teams usually ask before moving insurance workflows into Cayra.
Keep rollout questions visible: source systems, governance, first pilot workflow, and how claims and risk teams adopt the shared answer layer.
Compatible with your ERP, CRM, and data environments
Cayra gives teams natural-language access to operational data across ERP, CRM, and enterprise database environments without changing how they work.
Connect to your ERP systems via their underlying databases for reporting and analytics.
Via Oracle DB (Beta) or MS SQL Server
Via Oracle Database (Beta)
Via Azure SQL Database
Also compatible with regional ERP databases such as Logo, Mikro, Netsis, and Nebim.
Access your CRM data via database connections with natural language queries.
Via Azure SQL Database
PostgreSQL, MySQL, MariaDB, MS SQL Server (Production-Ready). MongoDB, Oracle Database (Beta).
Production-ready enterprise database
Production-ready open-source DB
MySQL-compatible high availability
Enterprise platform (Azure SQL incl.)
NoSQL database (Beta - Atlas support)
Enterprise database (Beta)
Use Cayra with ERP- and CRM-backed business data across SQL Server, Oracle, PostgreSQL, MySQL, MariaDB, and similar enterprise database environments.
Database-level read access. For full API integration, contact us.
* All ERP/CRM integrations work via database-level read-only access.
Build your institution's future together with your data.
The journey that begins with Cayra is not just about better reporting; it's about building a more predictable, more secure, more profitable insurance institution. Prepare for the future while keeping control in your hands with on-premise security.
All Industry Solutions
Cayra offers tailored solutions for different industries