InModelia
InModelia is a Paris-based boutique consultancy (founded 2009) that builds neural-network software and R packages — notably the FatTailsR package for Kiener fat-tailed distributions — and provides ML modeling, consulting, and training to expert clients in finance and industry worldwide.
- Company typePrivate
- Founded2009
- HeadquartersParis, France
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What InModelia does
InModelia is a privately held French boutique consultancy, founded in 2009 and based in Paris, specializing in machine learning, neural networks, and statistical modeling with the R software environment. Its practice spans two primary verticals: finance (risk measurement under Solvency II/Bâle III, portfolio management, derivatives pricing, and fat-tailed return modeling) and general industry (modeling, simulation, inverse problems, and control of nonlinear processes), serving expert clients with highly specialized data and modeling needs worldwide.
The company's technology stack rests on dedicated neural-network software (Neuro One and Neuro Pex) for static, dynamic, and classification networks, complemented by proprietary and public R packages. Its flagship public artifact is the FatTailsR package on CRAN, implementing Kiener distributions (types I–IV) and power-hyperbolic functions for modeling bilateral fat-tailed distributions — a methodological differentiator the company positions as superior to Laplace-Gauss assumptions for value-at-risk and tail-risk estimation. Founder/principal Patrice Kiener has presented this research at the R/Rmetrics workshops in Paris (2014) and Zurich (2015).
InModelia monetizes through three channels: one-time licensing of dedicated software and private R packages, consulting engagements delivered either on a time-and-materials (régie) or fixed-price (forfait) basis, and training courses delivered in academic and corporate environments. Go-to-market is sales-led and relationship-driven, with distribution handled directly to expert clients and visibility generated through academic conference presence and CRAN distribution rather than traditional marketing.
InModelia firmographics
Firmographics- Name
- InModelia
- Legal name
- InModelia
- Website
- https://inmodelia.com
- Company type
- Private
- Founded year
- 2009
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- InModelia is a Paris-based boutique consultancy (founded 2009) that builds neural-network software and R packages — notably the FatTailsR package for Kiener fat-tailed distributions — and provides ML modeling, consulting, and training to expert clients in finance and industry worldwide.
- Ownership category
- akta.pro rank
InModelia industry classification
Industry- Product category
- Statistical and Machine Learning Software
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511), Scientific Research and Development Services (5417)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Management Consulting Services (8742)
- akta.pro primary industry
- Data, Analytics & AI for Insurance (Risk, Pricing, Personalization) (FSAGAGAE)
Keywords
Where InModelia is headquartered
LocationHeadquarters
- HQ city
- Paris
- HQ country
- France
- HQ region
- Europe
Markets served
InModelia business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Dedicated Software Sales: Sale of proprietary software products including Neuro One + Neuro Pex and private R packages for specialized AI and neural network applications.
- Consulting and Professional Services: Consulting and service engagements delivered either in régie (contractor/time-and-materials) or forfait (fixed-price/deliverable-based) models. Services cover machine learning, neural networks, modeling, and simulation for nonlinear processes.
- Training Courses: Training programs delivered in academic and corporate environments covering AI, machine learning, neural networks, and use of R software.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels3 records
InModelia product offering
Product offeringCore offering
InModelia develops neural network software (Neuro One, Neuro Pex) and specialized R packages for machine learning, optimal design of experiments, and nonlinear process modeling. The company's flagship public offering is the FatTailsR package, which implements proprietary Kiener distributions for modeling bilateral fat-tailed financial returns. It complements this software with consulting services (régie or forfait) and training programs delivered to expert clients in industry and finance worldwide.
Product overview
InModelia offers a portfolio of specialized AI and machine learning products centered on neural networks and statistical modeling. The core offerings include Neuro One and Neuro Pex as dedicated neural network software, complemented by private R packages. The public FatTailsR package provides Kiener distributions for fat-tailed financial data modeling. The company also delivers consulting services and training courses, both academic and corporate. The software suite targets experts requiring advanced data processing and model building capabilities across industrial and financial applications.
Differentiator
Problem solved
Functional benefit
Brands
- Neuro One: Dedicated neural network software offered by InModelia
- Neuro Pex
- FatTailsR
Products and services
- FatTailsR Public R package implementing Kiener distributions (types I, II, III, IV) for modeling bilateral fat-tailed distributions in finance, with two methods and three functions for parameter estimation, power hyperbolas, and value-at-risk calculations. Used by quants and risk analysts working with stocks, indices, commodities, currencies, futures, options, and warrants.
- Neuro One Dedicated neural network software for static, dynamic, and classification networks, supporting data processing and model building for expert clients in industry and finance.
- Neuro Pex Companion software to Neuro One for neural network applications including optimal design of experiments for nonlinear models, used alongside Neuro One in dedicated machine learning workflows.
- Private R Packages Proprietary R packages developed by InModelia for specialized statistical and machine learning applications, delivered directly to enterprise clients as part of dedicated software offerings.
- Consulting and Professional Services Consulting and service engagements for machine learning, neural networks, modeling, simulation, inverse problems, and control of nonlinear processes, delivered in régie (time-and-materials) or forfait (fixed-price) models to expert clients in industry and finance.
- Training Courses Training programs delivered in academic and corporate environments worldwide, covering AI, machine learning, neural networks, and the use of R software, providing theoretical foundations and practical knowledge to expert clients.
Companies that use InModelia
Customer profileSegments2 records
Ideal customer profiles3 records
InModelia technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature4 records
InModelia partnerships and signals
Strategic signalScale indicators1 record
Recent moves4 records
Expansion highlights3 records
InModelia competitors and assessment
Company assessmentEmerging players
- H2O.ai: H2O.ai offers open-source and enterprise AI/ML platforms widely used in financial services for risk, fraud, and pricing. Comparable to InModelia as a competing AI vendor for finance and industrial modeling, with greater scale and a stronger open-source ecosystem.
- DataRobot: DataRobot provides an enterprise automated machine learning platform for predictive modeling in finance and industry. Comparable to InModelia as a competing AI/ML platform pitching to the same expert user base, though with a much broader Python-first, enterprise SaaS footprint.
Direct peers
- Wolfram Research: Wolfram Research provides Mathematica and Wolfram Alpha for advanced mathematical computation, statistical distributions, and specialized modeling. Comparable to InModelia as a niche, expert-focused mathematical software vendor targeting research and quantitative users.
- MathWorks: MathWorks sells MATLAB and Simulink, the most established dedicated environment for neural networks, nonlinear modeling, and optimal design of experiments. Highly comparable to InModelia in offering proprietary numerical computing software for expert engineering and finance users.
- RStudio (Posit): Posit provides the dominant commercial IDE and enterprise platform for R, the same language ecosystem in which InModelia builds FatTailsR and its private packages. Comparable as an R-ecosystem analytics vendor serving quants and data scientists in finance and industry.
Broad incumbents
- Palantir Technologies: Palantir provides enterprise data and AI platforms deployed across finance, industrial, and government for advanced modeling and decision support. Comparable to InModelia as a broader AI-driven analytics platform targeting similar end customers, though at vastly larger scale.
- MSCI (RiskMetrics): MSCI owns RiskMetrics and Barra, providing market risk, VaR, and portfolio analytics adopted across global finance. Comparable to InModelia as a risk analytics vendor addressing VaR, portfolio risk, and capital regulation that overlaps with InModelia's financial customer use cases.
- SAS Institute: SAS offers a broad analytics, risk, and statistical modeling suite widely used in regulated finance, including capital adequacy and Basel/Solvency II analytics. Comparable to InModelia as a major incumbent in quantitative risk analytics that competes for the same financial-services budgets.
- Bloomberg: Bloomberg offers analytics and risk management tools embedded in the Bloomberg Terminal used by quants and risk officers. Comparable to InModelia as a broad analytics incumbent serving the same finance/R-targeted decision-making workflows.
Regional players
- Mu Sigma: Mu Sigma is a large decision sciences and analytics outsourcing firm serving global enterprises with data-driven modeling and consulting. Comparable to InModelia as a consulting-led AI/analytics provider, though Mu Sigma operates at much larger scale and across geographies where InModelia does not focus.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat2 records
Key risks6 records
Key highlights6 records
Customer concentration
InModelia social profiles
Digital presenceInModelia financial estimates
Financial estimateRevenue estimate
Valuation estimate
InModelia leadership team
Management profileNumber of profiles
Profiles1 record
InModelia funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
InModelia 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 InModelia
What does InModelia do?
InModelia develops neural network software (Neuro One, Neuro Pex) and specialized R packages for machine learning, optimal design of experiments, and nonlinear process modeling. The company's flagship public offering is the FatTailsR package, which implements proprietary Kiener distributions for modeling bilateral fat-tailed financial returns. It complements this software with consulting services (régie or forfait) and training programs delivered to expert clients in industry and finance worldwide.
Is InModelia a public or private company?
InModelia is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was InModelia founded?
InModelia was founded in 2009. It employs 1 to 10 people.
Where is InModelia based?
InModelia is headquartered in Paris, France, in the Europe region.
How does InModelia make money?
Three revenue lines are on record. Dedicated Software Sales are the primary driver. The others are consulting and Professional Services and training Courses.
Who are InModelia's main competitors?
Emerging players on record are H2O.ai and DataRobot. Direct peers are Wolfram Research, MathWorks and RStudio (Posit). Broad incumbents are Palantir Technologies, MSCI (RiskMetrics), SAS Institute and Bloomberg. Mu Sigma is listed as a regional player.
Does InModelia have an API?
No public API is recorded for InModelia.
What industry is InModelia in?
InModelia's product category is Statistical and Machine Learning Software. Its primary akta.pro industry code is FSAGAGAE, Data, Analytics & AI for Insurance (Risk, Pricing, Personalization). Its NAICS code is 5132 and its SIC code is 7372.