Fintech · Structured products

Structured productsdata and analytics,powered by AI.

Keraes supports financial intermediaries with reliable data, rigorous analysis and artificial intelligence tools.

Autocall · Monte Carlo simulation4,000 paths
Early redemption
 
Average life (years)
 
Capital loss at maturity
 

Illustrative simulation computed in your browser. Not a valuation, not advice.

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  • #MCP
  • #Precision
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  • #Traceability
  • #PRIIPs
  • #Mathematics
  • #Termsheets

From raw data to decision: we cover the full information chain around structured products, with the standards of a team born in the markets.

For family offices, insurers, wealth advisers and distributors.

20,000+
Structured products in our database

AI reads your termsheets. You receive data.

Automated extraction of product terms, checked and versioned, ready to plug into your tools and documents.

Extracting0 / 7

Fictitious example

Autocall Phoenix Euro Stoxx 50® 6 years

The product is a debt instrument issued by an A-rated issuer, ISIN FR0000000000. It is linked to the Euro Stoxx 50® index. Automatic early redemption occurs if, on an annual observation date, the index closes at or above 100% of its initial level. A coupon of 7% per elapsed year, with memory effect, is then paid. At maturity, capital is protected as long as the index does not close below 60% of its initial level.

{
  "product_type": "autocall_phoenix",
  "issuer_rating": "A",
  "isin": "FR0000000000",
  "underlying": "SX5E",
  "observation": "annual",
  "autocall_level": 1.00,
  "coupon": { "rate": 0.07, "memory": true },
  "protection_barrier": 0.60
}

The pipeline, end to end.

Hover a stage to see its detail. Pick a product type to run the flow again.

    Reference data · Illustration

    A complete data infrastructure.

    A structured, up-to-date reference dataset, delivered where your teams already work.

    API, MCP & feeds

    Terms, underlyings, barriers and coupons, delivered via REST API, an MCP server for your AI assistants, files or Excel.

    Example request

    GET /v1/products/FR0000000000
    200 OK · application/json
    {
      "isin": "FR0000000000",
      "type": "autocall_phoenix",
      "underlying": ["SX5E"],
      "autocall_level": 1.00,
      "protection_barrier": 0.60,
      "sri": 4
    }

    Example MCP call

    tools/call get_structured_product
    { "isin": "FR0000000000", "fields": ["barriers", "coupons", "sri"] }
    result: structured content, 3 fields

    PRIIPs / KID

    Regulatory data built in, including the summary risk indicator.

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    3. 3
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    7. 7

    Summary risk indicator

    Steel-framed glass roof and cloudy sky, seen from below

    Analytics & reporting

    Risk / return profile, scenarios and tailored client reporting.

    Lifecycle event tracking

    Observations, coupons and redemptions, tracked over the product's whole life.

    Illustration

    1. Coupon 7%
    2. Coupon 7%
    3. Below level
    4. Redeemed, 100% + coupons

    Excel & files

    Your columns, your formats.

    Fictitious data

    ISINUnderlyingProtection
    FR0000000001SX5E60 %
    FR0000000002SX5E65 %
    FR0000000003CAC 4055 %

    Quantitative rigour for financial distribution.

    A team with a background in markets, systematic trading and applied mathematics.

    From time series to client reporting.

    Time series

    Prices, returns and annualised rolling volatility, computed on cleaned, aligned series.

    Window
    Volatility
     
    Max drawdown
     
    Window
     

    Simulated data, computed in your browser

    White facade with curved lines

    Rigour

    Proven quantitative methods, documented and reproducible.

    Traceability

    Every data point is sourced, checked and versioned.

    Integration

    Open formats that fit into your existing systems.

    Confidentiality

    Your data stays yours, processed in a controlled environment.

    Built on proven technology.

    Data & compute

    • Python
    • Rust
    • PostgreSQL
    • Redis

    Artificial intelligence

    • Anthropic
    • OpenAI
    • Gemini
    • Model Context Protocol

    Platform

    • FastAPI
    • Next.js
    • TypeScript
    • RabbitMQ

    Infrastructure

    • Docker
    • Kubernetes
    • AWS
    • Grafana
    • Prometheus

    A simple rollout, in 3 steps.

    We start from how you actually work to deliver something useful, fast.

    Cables of a bridge at night
    01

    Assessment

    We review your data flows, tools and automation needs.

    • Data flows
    • Existing tools
    • Expected formats
    • Automations
    02

    Integration

    We connect data and tools to your environment, without disruption.

    Your toolsAPI · MCPReference data
    03

    Support

    We stay alongside you to evolve the solution as your business grows.

    1. Reference data updated
    2. Coupon paid, product tracked
    3. Client report generated

    Contact

    Let's talk about your project.

    Tell us what you need. We'll get back to you promptly to discuss it.

    • Paris, France
    • Reply within 2 business days
    • Confidential exchanges