Engineering and technology that turn science into results.
We specialize in solving complex problems.
We design and execute projects in engineering, artificial intelligence, data, automation, embedded systems, quantitative modeling and corporate financial strategy — from diagnostic and feasibility to prototype, implementation and transfer.
From problem formulation to system operation.
We combine scientific analysis, strategic consulting and engineering execution. Everything starts from the diagnostic: without it there is no proposal and no scope. We can intervene in a single decision, direct a technology program or develop a complete solution. Every project is structured around objectives, constraints, risks, deliverables and verifiable metrics, and aims to add tangible value in time, money and processes.
We advise
Diagnostics, feasibility studies, solution architecture, scientific and technology strategy, engineering economics, project appraisal and specialized leadership. Analysis draws on stochastic calculus, game theory, multivariate statistics and predictive, classification and generative modeling, to produce verifiable insight free of cognitive bias.
We develop
Whatever the problem requires building: mathematical and learning models, software and data platforms, AI agents, electronics and embedded systems, automation, computer vision, instrumentation, prototypes and complete technology products.
We implement
Integration, testing, deployment, validation, documentation, risk management, technical transfer and continuous improvement in operation, measuring the effect against what was predicted.
A multidisciplinary team working on one and the same problem.
The composition of the team is defined after the diagnostic, according to what the problem demands: no profile is assigned out of habit, and no specialty is billed that the case does not need.
We do not offer generic services, nor services sold separately: we diagnose and design one integrated, tailored solution.
Diagnostic first
No proposal is written before we understand the operation, the data and the real cost of the problem. Scope comes from the diagnostic, not from a catalog.
One integrated solution
Engineering, data, finance, compliance and operations are solved together. One team, one technical owner and one design for the whole problem.
Mathematical modeling first
The priority is to formulate the optimization problem from its topology, operating rules and the nature of the system, and model it — deterministic or stochastic — before choosing any technology or solution.
When complexity already carries a measurable cost.
We step in where the technical, the operational and the financial intersect and nobody holds the whole picture. These are the cases we are called for most.
A technical stack assembled around the problem.
A stack of twelve disciplines lets us operate across twelve core industries and, by transferring the same methods, a total of twenty-one sectors. Practices are combined to fit the problem; they are not sold as isolated products and scope is defined in writing before work starts.
Scientific, technology and engineering strategy
Technical diagnostics, feasibility studies, solution architecture, technology selection, roadmaps, technology due diligence, vendor oversight and fractional leadership.
Artificial intelligence, data and software
Agents and intelligent automation, data engineering, machine learning, predictive, classification and generative modeling, decision systems, integrations, applications and platforms, MLOps and observability.
Embedded systems, electronics and edge intelligence
Instrumentation, sensors, data acquisition, firmware, industrial IoT, edge AI, controllers and electronic prototypes.
Automation, vision and autonomous systems
Computer vision, inspection and monitoring, industrial automation, robotics, drones, navigation, perception and supervised autonomy.
Modeling, simulation and optimization
Stochastic calculus and random processes, game theory and incentive design, multivariate statistics and causal inference, operations research, simulation, dynamical systems, digital twins, mathematical optimization, forecasting, uncertainty analysis and design of experiments.
Financial engineering and quantitative strategy
Project appraisal, corporate treasury strategy, scenarios, pricing, quantitative risk management, capital allocation, profitability, working capital and engineering economics.
Cyber resilience and technology risk
Architecture assessment, threat modeling, application security, data and AI security, operational resilience, continuity and cyber-physical system security.
Research, development and innovation
Applied research, experimental development, proofs of concept, prototyping, technology validation, product design, technical IP strategy, scale-up and transfer.
Software development
Application architecture, backend and APIs, web and mobile interfaces, custom systems, ERP and legacy integration, databases, cloud and infrastructure, automated testing, CI/CD, security, maintenance and documentation.
Quantitative services are corporate: project appraisal, treasury, risk and capital allocation. We do not perform securities brokerage, custody or discretionary management of third-party funds; we can provide the optimization models and connect you with an authorized brokerage firm if your strategy calls for it.
A contracting structure for each class of problem.
Our fees pay for specialized knowledge, technical responsibility and execution. Projects are contracted by scope, milestones, retainer or time and materials.
Consulting and professional fees
Specialized interventions, studies, analysis, executive advisory, technical review and decision support.
Model · Professional rate, hour bank, day rate, retainer or defined scope
Studies and diagnostics
Technical, operational, scientific, technological, economic and risk assessment, with a prioritized portfolio of interventions.
Model · Fixed price by scope and deliverables
Engineering and development projects
Design, build, integration, prototyping, validation and implementation of systems, software, electronics and models.
Model · Advance payment and milestone billing
Fractional leadership
Scientific, technology, engineering, data, AI or transformation leadership for companies that do not yet need a permanent executive function.
Model · Monthly retainer
Contract research and development
Development of knowledge, technology, prototypes, models and products under a specific intellectual property regime.
Model · Project, co-funding, license or hybrid scheme
Licensing and support
Use of components, models, software or technology developed by EigenFractal, with maintenance and technical support.
Model · License, subscription, maintenance or support
Pricing is quoted by scope after an initial technical conversation. Every proposal states deliverables, acceptance criteria, assumptions, risks and the intellectual property regime.
How a project is contracted and billed.
Commercial process · EF-PAYConfidentiality
A confidentiality agreement compliant with data protection law is signed before any information is reviewed.
Free diagnosis
At no cost and with no commitment: we understand the operation, the problem and its economic impact.
Outline and quotation
A signed quotation breaks the project into phases — study, research, development, implementation and transfer — with deliverables and acceptance criteria.
50% advance
Work starts with half the value. Any change of scope is quoted and authorized separately.
Delivery and evaluation
The work is delivered and results are evaluated against the metrics agreed in the quotation.
Final 50%
The balance is paid once the project is delivered and its results have been evaluated.
If the project requires subscriptions, licenses or technological or industrial investment, it can be built into the budget or purchased or leased directly by the client. That decision is made before signing, with costs in plain view.
80% of what is billed goes to the fees of the specialists executing the project; the remaining 20% stays with the firm. The firm does not charge for brokering: it charges for directing the work, carrying technical responsibility and sustaining the infrastructure behind it.
The result must be observable, measurable and defensible.
Productivity and speed
Cycle, lead time and decision speed.
Cost and operating efficiency
Operations, waste and working capital.
Revenue, capacity and pricing
Installed capacity, pricing and new revenue sources.
New capabilities and products
Innovation that did not exist in the company before.
Reliability, quality and performance
Engineering, process control and availability.
Intellectual property and technical capability
Knowledge assets and a team able to operate them.
The six results translate into measurable return in time, money and quality: hours and days recovered, money saved or generated, and defects, risk and variability reduced. Every project also accounts for security, financial feasibility and real implementation capacity; the diagnostic determines which result is the priority for your company — we do not impose a single metric.
All measurable.
All transparent.
We measure from formulation through to the impact and the real return of every project. No speculation, no perception: traceable figures, a declared method and results the client can audit independently.
Baseline before we start
The current state is measured with the client’s own data. Without a baseline there is no demonstrable improvement, only impression.
Metric and method in writing
Every objective carries its metric, data source and calculation method, agreed before execution.
Measured in operation
The effect is measured with the system running, not in the final report or a controlled demo.
Declared, auditable return
Real return is reported with assumptions, limits and error margins visible — including when it falls short of forecast.
If an effect cannot be measured with the available data, we say so before signing and propose how to instrument it. We prefer a smaller, verifiable scope over a broad, unprovable promise.
We do not start from a technology. We start from the system.
Six phases with exit criteria. We start from the economic problem, the real operation and the constraints; technology is chosen afterwards, not before.
Understand
Objectives, operation, available information, constraints and real business risks.
Formalize
Hypotheses, metrics, architecture and success criteria agreed in writing.
Design
Models, experiments, technical alternatives and economic feasibility analysis.
Build
Software, hardware, processes, prototypes or systems, in verifiable stages.
Validate
Technical, economic, operational and security testing before scaling.
Implement
Deployment, documentation, transfer to the team and measurement of the effect.
The quantitative model behind this method — spectrum of the dynamics, scaling laws and optimization under risk — is detailed on the Method page.
Twelve core industries, twenty-one sectors of application.
The same capability stack transfers across industries: the technical and regulatory context changes, the method does not. The first twelve are our core industries; the remaining nine are application sectors assessed case by case.
Engagements adapt to the regulatory framework of each industry. In regulated sectors we work alongside the client’s legal and compliance function.
Research and development areas.
We research on our own account and under contract. Development produces transferable assets: models, code, instrumentation, documentation and installed capability in your team.
We deliver models, systems, documentation and capabilities under a clear intellectual property scheme. Each contract defines ownership of deliverables, licenses and pre-existing technology: EigenFractal retains its methods, reusable components and background IP.
Responsible, confidential and verifiable engineering.
We operate with agentic AI and an assisted general-intelligence (AGI) system to accelerate our own work: analysis, modeling, development, documentation and cross-verification.
AI does not decide. Every output is put through reliability engineering and advanced statistics: controlled design of experiments, hypothesis testing, sensitivity analysis and confidence intervals declared before a result is accepted. Every relevant step requires human authorization and supervision, and every deliverable carries the technical sign-off of a responsible specialist. It is a key assistant in development and verification — never the final judgment over your company.
State the problem. We structure the engagement.
Share the context, the economic impact and the main constraints. We will assess whether the problem calls for advisory, a study, a prototype, a development or a full engineering program, and reply with a scoping call.