Describe Data
Describe Data is a Dublin-based, bootstrapped consulting and software firm serving global insurance and reinsurance clients — particularly Lloyd's market participants — with bespoke technology, actuarial modelling, and its Kompreno stochastic planning SaaS platform.
- Company typePrivate
- Founded2018
- HeadquartersDublin, Ireland
- Headcount1–10
- GTM typeB2B
- OfferingServices
What Describe Data does
Describe Data Ltd. is a Dublin-based, privately held consulting and software development firm founded in 2018 that serves the global insurance and reinsurance industry, with particular depth in the Lloyd's and London specialty markets. The company combines actuarial expertise, quantitative research, and software engineering to deliver bespoke technology solutions spanning underwriting decision support, actuarial calculation engines, machine learning, Bayesian statistical modelling, portfolio optimisation, scenario analysis, auto-follow syndicate platform design, and data analytics. Its clients are enterprise insurers, reinsurers, Lloyd's managing agencies, and MGAs — including named logos such as Chaucer, Convex, Hamilton, Hiscox, Markel, and RenaissanceRe — alongside unnamed global life, general, and re/insurance carriers.
The firm's core technology stack centres on Python and R, Bayesian statistical methods, machine learning, Postgres databases, Next.js front-ends, Monte Carlo simulation engines, and Lloyd's market infrastructure integrations. Its flagship commercial product, Kompreno, is a cloud-hosted stochastic business-planning SaaS platform for multi-line insurers and Lloyd's managing agencies, featuring a Monte Carlo engine capable of running 10,000 simulations in seconds, copula-based inter-line correlation modelling using Gaussian, Student-t, and Clayton copulas, and a directed-graph reinsurance netting-down calculation engine. Kompreno is delivered alongside proprietary bespoke systems — such as the reinsurance netting-down engine and auto-follow syndicate platforms — built to production standards with full auditability for regulatory submissions.
Describe Data monetises through three revenue streams: (1) professional services and consulting engagements (technology strategy, actuarial calculations, data analytics, AI/ML implementation); (2) bespoke software development for insurance workflows including internal underwriting tools, pricing calculators, client-facing portals, and Lloyd's market integrations; and (3) subscription/recurring SaaS licensing of the Kompreno platform. Go-to-market is entirely direct enterprise sales, targeting C-suite, underwriting heads, actuarial teams, and executive management through consultative, discovery-led engagements supported by case-study-led content marketing. The firm operates with a small team (1–10 employees) supplemented by a network of subject-matter experts, and is founder-led by CEO & co-founder Michael Crawford (trained actuary, 20+ years Financial Services and IT) and CTO & co-founder Dr. Mick Cooney (PhD Stochastic Mathematics, hedge fund quant background, Bayesian statistics expert). Describe Data is bootstrapped with no disclosed funding rounds, institutional investors, or parent company.
Describe Data firmographics
Firmographics- Name
- Describe Data
- Legal name
- Describe Data Ltd.
- Website
- https://describedata.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Describe Data is a Dublin-based, bootstrapped consulting and software firm serving global insurance and reinsurance clients — particularly Lloyd's market participants — with bespoke technology, actuarial modelling, and its Kompreno stochastic planning SaaS platform.
- Ownership category
- akta.pro rank
Describe Data industry classification
Industry- Product category
- Insurance Technology (InsurTech)
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Risk Scoring, Hazard & Geospatial Analytics (FSAOAIAE)
- akta.pro secondary industries
- Pricing, Revenue & Commercial Analytics (BPAHALAM), Data Analytics & Business Intelligence Services (BPAHALAC)
Keywords
Where Describe Data is headquartered
LocationHeadquarters
- HQ city
- Dublin
- HQ country
- Ireland
- HQ region
- Europe
Markets served
Describe Data business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others
Revenue model
- Professional Services and Consulting: Bespoke consulting engagements providing technology strategy, actuarial calculations, data analytics, and AI/ML implementation services. Engagements include discovery phases, strategic planning, and implementation support delivered by industry specialists.
- Bespoke Software Development: Custom software engineering for insurance workflows including internal underwriting tools, pricing calculators, client-facing portals, and Lloyd's market integrations. Delivered to production standards with full testing and documentation.
- Platform/SaaS (Kompreno): Cloud-hosted business planning platform licensed to multi-line insurers and Lloyd's managing agencies. Provides Monte Carlo simulation, correlation modelling, and scenario analysis capabilities through a browser-based interface.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels3 records
Describe Data product offering
Product offeringCore offering
Describe Data is a boutique consulting and bespoke software development firm that designs and builds technology solutions for insurance and reinsurance companies. Its deliverables span the Kompreno cloud-hosted stochastic business planning platform (Monte Carlo simulation, copula-based correlation modelling, and reinsurance structure analysis for multi-line insurers and Lloyd's managing agencies) and a wide catalogue of professional services covering actuarial calculation engines, machine learning pricing/risk models, Bayesian modelling, augmented underwriting, portfolio optimisation, scenario modelling, bespoke software, API design, and UI/UX design for Lloyd's market integrations and underwriting workflows.
Product overview
Describe Data is a bespoke consulting and development firm operating at the intersection of insurance business expertise and advanced technology. Its portfolio consists of two distinct layers: (1) Kompreno, a named commercial SaaS platform for multi-line insurers and Lloyd's managing agencies providing stochastic business planning, copula-based correlation modelling, and reinsurance simulation through a browser-based interface; and (2) a broad suite of consulting services spanning AI and machine learning, actuarial calculations, data analytics, bespoke development, and specialist insurance functions (augmented underwriting, portfolio optimisation, scenario modelling, Bayesian modelling, non-standard pricing, and underwriting efficacy). The firm also delivers custom software solutions — such as reinsurance netting down systems and auto-follow syndicate platforms — built to production standards for specific clients, and provides API design and UI/UX design services. All offerings are targeted at the insurance and reinsurance sector, with a particular focus on Lloyd's market participants.
Differentiator
Problem solved
Functional benefit
Brands
- Kompreno: A purpose-built business planning platform designed and built by Describe Data for multi-line insurers and Lloyd's managing agencies. Kompreno delivers a fully operational planning environment capable of running 10,000 Monte Carlo simulations, modelling reinsurance structures, capturing inter-line correlation through copulas, and producing credible aggregate loss estimates at multiple return periods.
Products and services
- Kompreno A cloud-hosted SaaS business planning platform for multi-line insurers and Lloyd's managing agencies, providing a stochastic simulation engine that runs 10,000 Monte Carlo scenarios in seconds, copula-based inter-line correlation modelling, reinsurance structure simulation, scenario configuration with full auditability, and aggregate loss estimation at multiple return periods, delivered through a browser-based interface for underwriters, actuaries, and executives.
- Artificial Intelligence Services Practical AI deployment services for insurance operations including LLM-powered document processing, contract analysis, predictive claim triage, and intelligent workflow automation, designed to augment human judgement with full explainability to satisfy regulatory and underwriting governance requirements.
- Technology Strategy Consulting engagements aligning technology investment with underwriting objectives, regulatory requirements, and growth ambitions for insurance organisations, including building internal capability for execution and sustainability.
- Auto-Follow Syndicates End-to-end platform design and delivery services for auto-follow syndicate operations at Lloyd's, including data pipelines, risk selection engines, and portfolio monitoring dashboards that enable syndicates to scale capacity efficiently.
- Actuarial Calculations High-performance actuarial calculation engine development for production environments, covering stochastic reserving, IBNR estimation, and capital model integration, replacing spreadsheet dependencies with auditable, version-controlled systems for insurers and reinsurers.
- Machine Learning Predictive modelling services for insurance pricing, claims, and portfolio management, applying machine learning including frequency-severity models, gradient boosting for risk selection, anomaly detection for fraud, and NLP for unstructured policy and claims data.
- Data Analytics Analytics pipelines, dashboards, and reporting infrastructure for underwriting, claims, and finance teams, providing operational data in the required formats and cadences.
- Bespoke Development Custom software engineering for insurance workflows including internal underwriting tools, pricing calculators, client-facing portals, and Lloyd's market integrations, delivered to production standards with full testing and documentation.
- Augmented Underwriting Underwriting decision support combining market data, internal portfolio intelligence, and machine learning to surface risk-relevant signals at the point of decision, improving selection quality without removing underwriter discretion.
- Portfolio Optimisation Quantitative portfolio management consulting modelling correlation, concentration, and return-period exposures to help underwriting teams manage aggregate portfolio outcomes, integrating reinsurance structures for a net view of capital at risk.
- API Design Design and build of integrations between policy administration systems, pricing engines, Lloyd's market infrastructure, and third-party data providers, reducing operational friction, enabling automation, and making data available where and when needed.
- Scenario Modelling Forward-looking scenario analysis services for underwriting strategy and capital planning, providing simulation frameworks for stress-testing assumptions, modelling market shifts, and evaluating strategic options with full auditability for regulatory submissions.
- Bayesian Modeling Bayesian statistical modelling services for insurance problems with sparse data, material prior knowledge, or where uncertainty quantification is critical, including credibility models for emerging lines and Bayesian networks for claims causation.
- UI / UX Design Web application design for insurance professionals that presents complex data accessibly, with attention to workflow, role-based access, and audit trail required in regulated environments.
- Non-Standard Pricing Pricing modelling services for complex, non-standard, or specialty risks where simple actuarial triangles do not apply, combining actuarial methodology with machine learning and deep domain expertise to produce defensible pricing in lines with thin or heterogeneous data.
- Underwriting Efficacy Quantitative analysis of underwriting portfolio performance identifying which classes, segments, and risk characteristics have driven returns and where the book could be optimised, informing strategic allocation decisions and providing evidence for regulatory and capital discussions.
Quantifiable outcome
- Planning scenarios that previously required a full day of actuarial time run in seconds with Kompreno
- +3 more outcomes
Companies that use Describe Data
Customer profileNamed customers13 records
Segments4 records
Ideal customer profiles3 records
Describe Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability9 records
Feature4 records
Describe Data partnerships and signals
Strategic signalScale indicators2 records
Recent moves6 records
Expansion highlights5 records
Describe Data competitors and assessment
Company assessmentEmerging players
- Reacfin: European actuarial and insurance analytics consultancy with specialism in stochastic reserving, pricing and Solvency II analytics. Highly comparable service-by-service to Describe Data's actuarial calculations, Bayesian modelling and scenario modelling offerings.
Broad incumbents
- Verisk Analytics: Dominant insurance data, analytics and underwriting workflow provider serving carriers globally. Overlaps with Describe Data across data enrichment for underwriting, predictive modelling, and claims analytics, though Verisk operates at much broader scale across multiple insurance lines.
- Guidewire Software: Core insurance platform (Policy, Claims, Billing, Analytics) for P&C carriers. Adjacent to Describe Data's bespoke API design and underwriting portal work, and could absorb portions of bespoke consulting by extending native capabilities over time.
- Moody's RMS: Large-scale catastrophe and risk modelling platform for insurers and reinsurers, with deep presence in specialty and Lloyd's markets. Competes with Kompreno at the high end of catastrophe/aggregate exposure analytics and with Describe Data's portfolio optimization service line.
Direct peers
- Cytora: Digital risk processing and analytics platform for commercial insurance underwriting, applying AI and structured data to risk selection. Comparable to Describe Data's augmented underwriting and ML-led risk selection capabilities targeting enterprise commercial insurers.
- Hyperexponential: London-based AI-powered pricing and decisioning platform for specialty insurers and reinsurers, including Lloyd's market participants. Directly competes with Describe Data's Kompreno by combining stochastic modelling, copula-style correlation, and portfolio analytics for multi-line insurers in a SaaS delivery model.
- Sequel Business Solutions: Long-standing Lloyd's-focused software and data provider covering underwriting, reinsurance and accounting workflows in the London market. Comparable to Describe Data's bespoke Lloyd's integrations, reinsurance netting engine and Kompreno's Lloyd's managing-agency positioning.
- Algo (Algo Insurance Analytics): Provides machine learning and predictive analytics specifically for insurance pricing, underwriting and claims. Highly comparable to Describe Data's machine learning, non-standard pricing and Bayesian modelling service lines and to its Lloyd's / specialty insurance target market.
Others
- EY Insurance Advisory (UK/EU): Big Four actuarial, risk and insurance technology practice serving global insurers and reinsurers. Competes with Describe Data at the consulting and analytics layer for enterprise insurance clients, particularly for Solvency II, capital modelling and large transformation engagements.
Regional players
- Chartered Group (Insurance / Lloyd's consultancy): Lloyd's and London market-focused consultancy and technology provider covering underwriting, claims and regulatory reporting. Comparable to Describe Data in its targeted focus on London/Lloyd's insurers and in offering both consulting and proprietary tooling.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Describe Data social profiles
Digital presenceDescribe Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Describe Data leadership team
Management profileNumber of profiles
Profiles2 records
Describe Data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Describe Data M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Describe Data
What does Describe Data do?
Describe Data is a boutique consulting and bespoke software development firm that designs and builds technology solutions for insurance and reinsurance companies. Its deliverables span the Kompreno cloud-hosted stochastic business planning platform (Monte Carlo simulation, copula-based correlation modelling, and reinsurance structure analysis for multi-line insurers and Lloyd's managing agencies) and a wide catalogue of professional services covering actuarial calculation engines, machine learning pricing/risk models, Bayesian modelling, augmented underwriting, portfolio optimisation, scenario modelling, bespoke software, API design, and UI/UX design for Lloyd's market integrations and underwriting workflows.
Is Describe Data a public or private company?
Describe Data is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Describe Data founded?
Describe Data was founded in 2018. It employs 1 to 10 people.
Where is Describe Data based?
Describe Data is headquartered in Dublin, Ireland, in the Europe region.
How does Describe Data make money?
Three revenue lines are on record. Professional Services and Consulting is the primary driver. The others are bespoke Software Development and platform/SaaS (Kompreno).
Who are Describe Data's main competitors?
Reacfin is listed as an emerging player. Broad incumbents are Verisk Analytics, Guidewire Software and Moody's RMS. Direct peers are Cytora, Hyperexponential, Sequel Business Solutions and Algo (Algo Insurance Analytics). EY Insurance Advisory (UK/EU) is listed as an others. Chartered Group (Insurance / Lloyd's consultancy) is listed as a regional player.
Does Describe Data have an API?
No public API is recorded for Describe Data.
What industry is Describe Data in?
Describe Data's product category is Insurance Technology (InsurTech). Its primary akta.pro industry code is FSAOAIAE, Risk Scoring, Hazard & Geospatial Analytics, with a secondary code of BPAHALAM, Pricing, Revenue & Commercial Analytics. Its NAICS code is 541511 and its SIC code is 7370.