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InModelia

Full company profile

uuid02m3iwz

Namestring
InModelia
Legal namestring
InModelia
Websiteurl
inmodelia.com
Company typeenum
Private
Founded yearint
2009
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersParis, France
HQ citystring
Paris
HQ countrystring
France
HQ regionstring
Europe
Markets served

Serves global market

Keyword5 values
machine learning software, neural network software, fat-tailed distributions, financial risk modeling, nonlinear process modeling
Industry1 code
1Data, Analytics & AI for Insurance (Risk, Pricing, Personalization)
CodeFSAGAGAEPrimaryYes
NAICS code3 codes
  • Software Publishers5132
  • Custom Computer Programming Services541511
  • Scientific Research and Development Services5417
SIC code3 codes
  • Services-Prepackaged Software7372
  • Services-Computer Programming Services7371
  • Services-Management Consulting Services8742
Product category
Statistical and Machine Learning Software
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model3 records
1Dedicated Software Sales
TypeOne Time License
Description

Sale of proprietary software products including Neuro One + Neuro Pex and private R packages for specialized AI and neural network applications.

inmodelia.com
2Consulting and Professional Services
TypeProfessional Services
Description

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.

inmodelia.com
3Training Courses
TypeProfessional Services
Description

Training programs delivered in academic and corporate environments covering AI, machine learning, neural networks, and use of R software.

inmodelia.com
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 3 records shown
1Neuro One
Description

Dedicated neural network software offered by InModelia

inmodelia.com
+2 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

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.

Product and service6 records
1FatTailsR
CategoryStatistical software (R package)
Description

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.

2Neuro One
CategoryNeural network software
Description

Dedicated neural network software for static, dynamic, and classification networks, supporting data processing and model building for expert clients in industry and finance.

3Neuro Pex
CategoryNeural network software
Description

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.

4Private R Packages
CategoryStatistical software (R package)
Description

Proprietary R packages developed by InModelia for specialized statistical and machine learning applications, delivered directly to enterprise clients as part of dedicated software offerings.

5Consulting and Professional Services
CategoryProfessional services
Description

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.

6Training Courses
CategoryEducation and training
Description

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.

Scale indicator1 record

Each record includes

Type, Value, Description, Source

Recent move4 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight3 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeRegional player
Description

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.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat2 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability4 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

InModelia

Statistical and Machine Learning Softwareinmodelia.com

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.

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

  • Machine learning software
  • Neural network software
  • Fat-tailed distributions
  • Financial risk modeling
  • Nonlinear process modeling

Where InModelia is headquartered

Location

Headquarters

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

  1. Dedicated Software Sales: Sale of proprietary software products including Neuro One + Neuro Pex and private R packages for specialized AI and neural network applications.
  2. 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.
  3. 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 offering

Core 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 profile

Segments2 records

Ideal customer profiles3 records

InModelia technology and API

Technology

Technology 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 signal

Scale indicators1 record

Recent moves4 records

Expansion highlights3 records

InModelia competitors and assessment

Company assessment

Emerging 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 presence

InModelia financial estimates

Financial estimate

Revenue estimate

Valuation estimate

InModelia leadership team

Management profile

Number of profiles

Profiles1 record

InModelia funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

InModelia M&A and investment

M&A and investment

M&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.

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