Trusted Agents for
Insurance
Price risk with confidence, pay honest claims sooner, keep the right customers and report with less effort. Prometheux runs AI on your insurance data and your own rules, in place across policy, claims, broker, finance and third-party systems, so underwriters, handlers, actuaries and assistants get the same answer every time, with the evidence behind it.
Proven in production
The Data Is There.
The Answers Aren't.
Insurers hold decades of policy, claims and customer data, and the expertise to use it. But it is spread across brands, core systems and spreadsheets, and AI that can't explain itself never gets past the pilot. Prometheux puts your data and your rules to work together, in place.
Where Insurance Teams
Start
Pick the business area you own. Each use case runs as rules on your own data, in place, with the evidence behind every answer.
Underwriting & Pricing
Write the risks you want, at the price your rules set, with a reason for every quote.
Claims
Pay honest claims sooner, stop leakage and spot fraud, with the rows behind every decision.
Distribution & Customers
Know each customer and channel once, across brands and systems, and act on rules you can explain.
Risk, Capital & Reporting
Roll losses and recoveries up through the book, and report figures you can stand behind.
The Questions Other
Tools Can't Answer
Rings Across Many Claims
Which claimants are linked, at any number of hops, through shared phones, bank accounts, addresses, vehicles or repairers, and how much has each ring been paid? A recursive walk with totals at every step.
One Party, Many Records
Is this applicant already a policyholder, claimant, broker contact or declined risk under another brand or system? Every match cites its rule. See entity resolution.
Accumulation Through the Book
How much insured value sits in each flood zone or catastrophe region, rolled up through locations, policies, programmes and treaties, and which policies drive it? Rerun on a schedule or when data changes.
Every Figure to Its Row
Which claims, policies and rules sit behind this reported figure, across every system it came from? Lineage from the number back to the source rows, so it can be checked and replayed.
One Rules Layer
Across the Book
Typical fraud and claims platforms ingest your core-system data into their own store and score it there. Prometheux sits between your policy, claims and payment data and the people, tools and agents that act on it, and runs the rules where the data already lives.
Analytics
Underwriting, claims, fraud and finance dashboards, graph and BI
Integrations
Back into the databases behind policy, claims, CRM, finance and case systems
Agents
Underwriting, claims and service agents, deterministic answers
Models
Define the ontology, read answers, and power analytics, integrations and agents
Your insurance data
Policy, claims, party, broker, payment, reinsurance and finance data, connected in place. Nothing to migrate.
-
Insurance Operations
- Appetite, pricing, claims triage, fraud rings, accumulation and reporting on one set of rules
- Agents call deterministic rules over MCP and API, with the evidence behind every answer
- Results written back to the databases behind policy, claims and case systems, on a schedule or when data changes
-
The Insurance Rules Engine
- One model of parties, policies, risks, claims and treaties across brands and systems, instead of one per tool
- Recursion with aggregation and graph algorithms: claimants linked at any depth, exposure per region, recoveries per treaty
- Same input, same output, with lineage to the rules and source rows
-
Cloud Agnostic
- Run in Prometheux cloud, your cloud or on-premises, under your own controls
- Scale horizontally on clusters as portfolios and claim histories grow, with optional GPU acceleration
- 1-click deployment anywhere: EKS, AKS, GKE, Databricks Clusters, Snowpark Containers
-
Insurance-Data Agnostic
- Read and write policy, claims, broker, reinsurance and finance data in any database, format and schema
- Connect warehouses, lakes, core-system databases, mainframe extracts, files and APIs across clouds and on-premises
- No new data store to migrate into and keep in sync
Same Layers.
Better Built.
Map a typical insurance analytics or decision platform to Prometheux and the difference is where the work happens: in place, in rules you own, with an answer you can check.
Your Rules.
Every Flag Explained.
Fraud, claims and underwriting logic stays with the insurer, in rules your teams can read, version and change. Each result carries the evidence an investigator, handler or regulator needs, and runs where your data already is.
Owned, Not Vendor-Bound
Your claims, fraud and underwriting rules are plain text in your version control, not inside a vendor's model.
Deterministic and Explained
The same claim gives the same flag, with the rules and source rows behind it, ready for review, complaint or audit.
Built for Portfolio Scale
Rules run as distributed, parallel jobs, with optional GPU acceleration, over full claim histories. See high-performance engine.
Portable by Design
Run in Prometheux cloud, your cloud, your own Kubernetes or on-premises, or inside Snowflake and Databricks. See on-premises.
Find the ring, not just the claim. Pay honest claims faster, with reasons. Give agents rules you can stand behind.
One Use Case.
Then the Book.
Connect in Place
Point Prometheux at the systems behind one flow: policy, claims, broker, payment or finance data for one line of business. The data is processed where it lives; nothing is copied.
Codify the Knowledge
Your underwriters, handlers, actuaries and investigators, our forward deployed engineers and the AI assistant turn appetite guides, wordings, referral criteria and know-how into readable rules in days, not months.
Run One Use Case
An appetite check, fast-track triage, a ring search or an accumulation roll-up, on live data, for teams and agents alike.
Expand Line by Line
Each new line of business or team reuses the rules and connections already in place, so you add logic without rebuilding it for every tool.
Questions,
Answered
Do we have to replace our policy, claims or rating systems?
No. Keep them. Prometheux reads from your core systems, rating tables and existing scores, adds cross-system and network reasoning, and writes results back to the databases behind the policy, claims and case tools your teams already use.
Will querying in place slow down our production policy and claims systems?
You choose where rules read from: the production database, a replica, or the warehouse or lake you already load. Rules run on a schedule, when data changes or on demand, and reruns reuse results whose inputs haven't changed.
Can an agent or language model decide a quote or a claim?
Decisions stay in the rules: same data, same result, with the evidence attached. Agents call those rules over MCP or the API with the same access rights as the user they act for, and language-model steps such as summarising a file are labelled as non-deterministic.
How is sensitive policyholder data protected?
Data is read in place under your existing access controls, credentials stay in saved connections, and you can run the platform in your own cloud or on-premises. Prometheux is SOC 2 Type II certified.
What does it cost, and how do we prove the value?
It depends on your data and use cases, so we measure it on yours rather than quote a generic figure. Most insurers start with one use case on one line of business, agree the measure of success up front, then add use cases on the same rules and connections.
Related Capabilities
Bring One Insurance
Use Case.
An appetite check, fast-track triage, a ring search or an accumulation roll-up on your own data. Our forward deployed engineers will run it with you, in place, on your infrastructure.
