Productivity and speed
Cycle, lead time and decision speed.
Applied Science for Innovation
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.
Professional advisoryApplied scienceEngineeringTechnology developmentQuantitative strategy
01 · Problems we solve
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.
+Critical decisions made on fragmented information
+Manual, slow or hard-to-scale processes
+Excessive operating cost, waste or working capital
+Assets with no instrumentation or visibility
+Technology projects with no architecture or clear return
+Systems that do not talk to each other
+Technical or cyber risks that are not quantified
+Products that need scientific validation or engineering
+Financial models too weak to decide an investment
+Operations that need automation, prediction or control
+Teams that need specialized technical leadership
+Intellectual property that must become a product
02 · What we do
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.
01
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.
02
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.
03
We implement
Integration, testing, deployment, validation, documentation, risk management, technical transfer and continuous improvement in operation, measuring the effect against what was predicted.
03 · Team and approach
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.
01AI engineers
02Data scientists
03Financial engineers
04Electronic engineers
05Mechatronics engineers
06Systems engineers
07Telecommunications engineers
08Cybersecurity engineers
09Digital services and digital business transformation engineers
10Automation specialists
11Applied mathematicians
12Corporate lawyers
13Tax accountants
How we work
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.
04 · Capability areas
A technical stack assembled around the problem.
A stack of twelve disciplines lets us operate across fifteen core industries and, by transferring the same methods, a total of twenty-seven sectors. Practices are combined to fit the problem; they are not sold as isolated products and scope is defined in writing before work starts.
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.
05 · Services and contracting
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.
Contracting modelsEF-SVC · Rev 07.26
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.
01
02
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.
03
04
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.
05
06
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.
06 · Results01
The result must be observable, measurable and defensible.
Return inTimeMoneyQuality
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.
07 · Measurement policy
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.
01
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.
02
Metric and method in writing
Every objective carries its metric, data source and calculation method, agreed before execution.
03
Measured in operation
The effect is measured with the system running, not in the final report or a controlled demo.
04
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.
08 · Method
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.
01
Understand
Objectives, operation, available information, constraints and real business risks.
02
Formalize
Hypotheses, metrics, architecture and success criteria agreed in writing.
03
Design
Models, experiments, technical alternatives and economic feasibility analysis.
04
Build
Software, hardware, processes, prototypes or systems, in verifiable stages.
05
Validate
Technical, economic, operational and security testing before scaling.
06
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.
09 · Sectors
Fifteen core industries, twenty-seven application sectors.
The same capability stack transfers across industries: the technical and regulatory context changes, the method does not. The first fifteen are our core industries; the remaining twelve are application sectors assessed case by case.
01Manufacturing
02Agroindustry
03Construction
04Infrastructure
05Logistics and transport
06Energy
07Mining and materials
08Telecommunications
09B2B technology
10Corporate finance and treasury
11Retail and distribution
12Corporate groups
13Food and beverage
14Automotive
15Health and medical devices
Application sectors
13Water and sanitation14Pharma and chemicals15Civil aerospace16Real estate and facility management17Public sector and critical infrastructure18Corporate technical training19Tourism and hospitality20Textile and footwear21Education and research22Non-bank financial services23Circular economy and waste24Media and digital content
Engagements adapt to the regulatory framework of each industry. In regulated sectors we work alongside the client’s legal and compliance function.
10 · Research and intellectual property
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.
Decision and optimization under uncertaintyQuantitative diagnostic systemsEdge AI and visionSimulation and digital twinsSupervised autonomyCyber resilienceFinancial engineeringTechnology productizationTechnology transfer and client capability building
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.
11 · How we work
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.
+Confidentiality agreements on every engagement
+Intellectual property defined by contract
+Traceability of requirements and decisions
+Human authorization and supervision in every AI-assisted process
+Security by design
+Documentation and transfer to the client team
+Formal management of scope changes
+Validation before scaling
+Specialists selected per project
+Independence from technology vendors
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.