AI-ML
AI-ML is a Modena-based Italian innovative startup that designs and trains custom AI and Machine Learning algorithms, primarily reinforcement learning and predictive models, for manufacturing firms and SMEs across Italy. It sells bespoke algorithm development and decision-support solutions through direct B2B consulting engagements.
- Company typePrivate
- Founded-
- HeadquartersModena, Italy
- Headcount—
- GTM typeB2B
- OfferingServices
What AI-ML does
AI-ML srl is a privately held Italian innovative startup headquartered in Modena (Corso Canalgrande 90) that designs, develops, and trains custom Artificial Intelligence and Machine Learning algorithms for business decision support. The company was founded by partners including Alessandro Tullio, Andrea Silvestri, and Davide Manini, who combine academic roles in Programming, Control & Cost Analysis, and Business Intelligence & AI with operational delivery as innovation managers. AI-ML's product portfolio centers on an AI Optimizer (OTTIMIZZATORE AI) built on reinforcement learning, extended by eleven named modules: Forecaster AI for predictive forecasting, Simulations & Scenarios for What-If analysis, Market Analysis for macroeconomic pattern detection, Customer Base Analysis for churn and profiling, Preventive Maintenance integrated with IoT and 4.0 machinery, Costing Analysis, Variance Analysis, Anomaly Detection, Data Quality, and Custom Algorithms (Algoritmi Ad Hoc) for Industry 4.0, NLP, and image recognition use cases. A complementary sister platform, BizTool, handles upstream data-lake and multi-source data organization. AI-ML processes structured business data as its primary modality, supplemented by text and image inputs. Technology assets include reinforcement learning models, predictive analytics pipelines, and integrations with MES and IoT sensor streams, and a publicly accessible AI Tetris demo (tetris.ai-ml.it) is used to showcase warehouse optimization concepts.
AI-ML operates a B2B professional-services revenue model, selling bespoke algorithm development directly to enterprise clients. There is no public pricing; engagement scope and price are determined per project, and the company is described as targeting manufacturing firms and Italian SMEs. The go-to-market combines direct enterprise sales with event-driven demand generation (e.g., Smau Milano November 2025) and content marketing through an educational blog on AI applications in management control and budgeting. Distribution is single-country (Italy), with the company explicitly noting that operations and customer engagement are domestic.
The firm is structured as an S.r.l. (Società a responsabilità limitata) with no disclosed institutional investors, no funding rounds, and no parent company. Academic partnerships with Università degli Studi di Milano-Bicocca and Università degli Studi di Modena e Reggio Emilia support research collaboration and talent access. The company holds no disclosed patents, trademarks, or regulatory certifications, and no revenue, headcount, or contract value figures are publicly available.
AI-ML firmographics
Firmographics- Name
- AI-ML
- Legal name
- AI-ML srl
- Website
- https://ai-ml.it
- Company type
- Private
- Operating status
- Operating
- Short description
- AI-ML is a Modena-based Italian innovative startup that designs and trains custom AI and Machine Learning algorithms, primarily reinforcement learning and predictive models, for manufacturing firms and SMEs across Italy. It sells bespoke algorithm development and decision-support solutions through direct B2B consulting engagements.
- Ownership category
- akta.pro rank
AI-ML industry classification
Industry- Product category
- AI and Machine Learning Consulting for Enterprise Decision Support
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industry
- AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)
Keywords
Where AI-ML is headquartered
LocationHeadquarters
- HQ city
- Modena
- HQ country
- Italy
- HQ region
- Europe
Offices1 record
Markets served
AI-ML business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Custom Algorithm Development: AI-ML develops bespoke AI and Machine Learning algorithms tailored to specific client business processes. This involves studying, designing, and training algorithms for decision support and digital transformation of organizations. Revenue is generated through professional services engagements with enterprise clients.
Go-to-market motion2 records
Distribution channels1 record
Marketing channels4 records
AI-ML product offering
Product offeringCore offering
AI-ML designs, develops, and trains custom Artificial Intelligence and Machine Learning algorithms for enterprise decision support, budgeting, forecasting, and digital transformation. The portfolio centers on OTTIMIZZATORE AI (AI Optimizer), a reinforcement-learning platform extended by FORECASTER AI (predictive analytics), Simulations and Scenarios (What-If analysis), Market Analysis, Customer Base Analysis, Preventive Maintenance (IoT-integrated), Costing Analysis, Variance Analysis, Anomaly Detection, Data Quality, and fully bespoke algorithms (Algoritmi Ad Hoc). The firm delivers these solutions through B2B consulting engagements to manufacturing companies and Italian SMEs.
Product overview
AI-ML is an innovative company that implements Artificial Intelligence and Machine Learning solutions for business analysis, decision support, and digital transformation. The product portfolio centers on the AI Optimizer (OTTIMIZZATORE AI) as the core platform, extended by specialized modules including FORECASTER AI for predictive analytics, SIMULAZIONI E SCENARI for What-If scenario analysis, MARKET ANALYSIS for macroeconomic trend detection, ANALISI PARCO CLIENTI for customer profiling and churn prediction, MANUTENZIONE PREVENTIVA for IoT-based predictive maintenance, COSTING ANALYSIS for industrial accounting, ANALISI VARIANZE for financial variance analysis, ANOMALY DETECTION for outlier identification, DATA QUALITY for automated data cleansing, and ALGORITMI AD HOC for custom algorithm development. The sister product BizTool provides data lake creation capabilities. Solutions span sales, production, logistics, purchasing, administration/finance/control, and executive decision-making processes.
Differentiator
Problem solved
Functional benefit
Brands
- AI Optimizer: AI optimization algorithm using reinforcement learning for business decision support, applied to stock management, production processes, raw material purchasing, commercial strategies, and budgeting.
- Forecaster AI
- AI Optimizer - Simulations and Scenarios
Products and services
- OTTIMIZZATORE AI (AI Optimizer) A versatile optimization algorithm built on advanced reinforcement learning models that analyzes the entire range of possible solutions to a business problem and identifies the most advantageous options. Applied to stock management, production scheduling, raw material purchasing, commercial strategy selection, and automated budget generation. Designed for Italian manufacturers and SMEs needing AI-driven decision support across operational and strategic processes.
- FORECASTER AI Predictive algorithms that automatically and deeply analyze historical enterprise data to facilitate forecasting and budgeting processes. Enables anticipation of customer needs and the design of targeted commercial actions. Designed for sales, finance, and operations departments that need rolling forecasts and data-driven planning.
- SIMULAZIONI E SCENARI (Simulations and Scenarios) What-If analysis engine that, starting from the AI Optimizer's optimized model, simulates alternative scenarios (e.g., sudden raw material cost increases, capacity reductions, or new product mixes) before they occur in reality. Allows management to evaluate risks and opportunities and plan counter-measures; intended for executive leadership and strategic planning teams.
- MARKET ANALYSIS Algorithm that aggregates and analyzes a vast ecosystem of macroeconomic and sector data to study market trends. Automatically identifies patterns such as trends, cyclicality, and seasonality to provide dynamic strategic market intelligence for business planning. Designed for executive leadership and procurement functions.
- ANALISI PARCO CLIENTI (Customer Base Analysis) Uses established Machine Learning techniques to analyze customer habits, determine churn rate, and create customer profiles (customer profiler). Reduces customer abandonment risk and supports customer management and satisfaction initiatives. Designed for sales departments and CRM teams.
- MANUTENZIONE PREVENTIVA (Preventive Maintenance) Uses advanced forecasting models combined with IoT sensor data and 4.0 machinery to analyze operational logs and historical performance data, accurately predicting system vulnerabilities for targeted, proactive intervention. Designed for production departments and plant managers seeking to reduce unplanned downtime and scrap.
- COSTING ANALYSIS Algorithms for analyzing cost variability and attribution (variable, fixed, direct, indirect), cost center clustering, and identification of cost drivers to apply with business intelligence tools. Elevates drivers to KPIs for systematic product/service cost monitoring. Designed for controllers, finance departments, and operations leaders in manufacturing companies.
- ANALISI VARIANZE (Variance Analysis) Advanced methodologies for variance analysis that determine with maximum detail the causes of deviations between actual operational results and a target comparison period. Provides financial and operational management with insights to address inefficiencies or adapt to market changes; intended for finance and operations leadership.
- ANOMALY DETECTION Identifies and analyzes anomalous values in business processes (e.g., margin deviations, detection errors, missing data) that deviate from normal behavior. Reveals potential errors and surfaces opportunities for improvement. Designed for finance, operations, and data quality teams.
- DATA QUALITY Algorithms that, combined with Anomaly Detection, enable automatic correction of errors to effectively improve data quality and depth. Enables precise analyses, enriches the data base, and supports informed decision-making based on corrected information; serves as a foundational layer for the other AI-ML modules.
- ALGORITMI AD HOC (Custom Algorithms) Customized algorithms developed for specific business needs, including Industry 4.0 integrations, Internet of Things, sentiment analysis, text mining, and image recognition applications. Delivered as a professional service engagement where AI-ML's team studies, designs, and trains a tailored algorithm to meet the client's defined objectives.
Quantifiable outcome
- 30%+ reduction in raw material stock value achieved within months through AI-driven warehouse optimization
Companies that use AI-ML
Customer profileSegments7 records
Ideal customer profiles2 records
AI-ML technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature11 records
AI-ML partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered minor.
- Università degli Studi di Milano-BicoccaminorAI-ML maintains an academic partnership with Bicocca University for research collaboration and knowledge exchange in AI and Machine Learning applications for business contexts.
- Università degli Studi di Modena e Reggio Emilia (Unimore)minorAI-ML maintains a partnership with Unimore for collaborative research and academic exchange in AI and business intelligence technologies.
Recent moves6 records
Expansion highlights5 records
AI-ML competitors and assessment
Company assessmentDirect peers
- SDG Group: Italian-headquartered data and AI consulting firm serving enterprise and industrial clients across Europe with bespoke analytics and ML solutions — directly comparable in offering (custom AI/ML algorithms, decision support) and go-to-market (consultative B2B).
- BIP (Business Integration Partners): Italian management and technology consultancy with a strong data/AI practice, serving large enterprises and industrials — comparable to AI-ML in custom algorithm development and target enterprise buyer, though materially larger.
- Toggles: Italian boutique data analytics and AI consulting firm serving enterprise clients with custom ML solutions — close functional peer to AI-ML in custom-algorithm consulting and Italian enterprise segment focus.
- Datlas: Italian AI and data science services company building custom ML products for enterprise clients — highly comparable to AI-ML in custom algorithm development and Italian/European SME and enterprise segment.
- Machine Reply: Reply Group's AI and big-data subsidiary providing bespoke ML/AI engineering services to enterprise and industrial clients across Europe — directly comparable niche within a broader Italian digital transformation group.
Broad incumbents
- Reply S.p.A. Large Italian-listed digital transformation group with multiple AI/data subsidiaries addressing enterprise and manufacturing clients — broader incumbent that competes with AI-ML for the same enterprise AI transformation budgets.
- Engineering Group: One of Italy's largest IT services companies with established AI, data and Industry 4.0 practices serving enterprise and public-sector clients — broad incumbent overlapping AI-ML's enterprise and SME transformation footprint.
- Capgemini Engineering: Global system integrator with deep Italian operations and dedicated AI/ML engineering services for manufacturing and enterprise — broader competitor offering custom AI solutions at much greater scale.
- DataRobot: Enterprise AI platform company offering automated ML and MLOps tooling; competes for the same AI-transformation budget and increasingly ships consulting services alongside its platform — broader alternative to bespoke algorithm development.
Emerging players
- Faculty AI: European AI services firm delivering applied AI and ML engineering projects to enterprise clients (e.g., manufacturing, retail) — comparable emerging specialist with similar applied-AI consulting model, though UK-headquartered.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
AI-ML financial estimates
Financial estimateRevenue estimate
Valuation estimate
AI-ML leadership team
Management profileNumber of profiles
Profiles3 records
AI-ML funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AI-ML 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 AI-ML
What does AI-ML do?
AI-ML designs, develops, and trains custom Artificial Intelligence and Machine Learning algorithms for enterprise decision support, budgeting, forecasting, and digital transformation. The portfolio centers on OTTIMIZZATORE AI (AI Optimizer), a reinforcement-learning platform extended by FORECASTER AI (predictive analytics), Simulations and Scenarios (What-If analysis), Market Analysis, Customer Base Analysis, Preventive Maintenance (IoT-integrated), Costing Analysis, Variance Analysis, Anomaly Detection, Data Quality, and fully bespoke algorithms (Algoritmi Ad Hoc). The firm delivers these solutions through B2B consulting engagements to manufacturing companies and Italian SMEs.
Is AI-ML a public or private company?
AI-ML is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was AI-ML founded?
AI-ML was founded in -1.
Where is AI-ML based?
AI-ML is headquartered in Modena, Italy, in the Europe region.
How does AI-ML make money?
One revenue line is on record: custom Algorithm Development.
Who are AI-ML's main competitors?
Direct peers on record are SDG Group, BIP (Business Integration Partners), Toggles, Datlas and Machine Reply. Broad incumbents are Reply S.p.A., Engineering Group, Capgemini Engineering and DataRobot. Faculty AI is listed as an emerging player.
Does AI-ML have an API?
No public API is recorded for AI-ML.
What industry is AI-ML in?
AI-ML's product category is AI and Machine Learning Consulting for Enterprise Decision Support. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 541511 and its SIC code is 7371.