Data analysis · Programming · Software infrastructure

Understand the data. Improve the system.

Quantitative analysis, custom programming and software infrastructure evaluation for businesses and digital platforms.

VALOMON

Technical evaluation · outline

Sample outline · no results populated

  1. Scope & baselineSystem boundary, data sources and agreed technical questions.
  2. EvidenceMethods, input quality, limitations and reproducible test conditions.
  3. FindingsDocumented observations, each traceable to its data.
  4. Recommendations & handoverPrioritised actions, code, documentation and the monitoring plan.
  • Reproducible
  • Documented
  • Agreed in the SOW
Illustrative deliverable — not a client result

For digital platforms, ecommerce businesses and organisations whose work depends on reliable data and software.

  • Data quality
  • Latency
  • Throughput
  • Reliability
  • Cost
  • Forecasting
  • Optimisation
  • Classification
  • Simulation
  • Data pipelines
  • Integrations
  • Dashboards
  • Python
  • SQL

Who we work with

Four kinds of teams, four typical problems

  • 01

    Digital platforms & SaaS companies

    “Slow or unstable systems under load.”

    Where we startInfrastructure evaluation and parameter tuning

  • 02

    Ecommerce & marketplaces

    “Unreliable data and weak forecasting.”

    Where we startData audit, demand modelling and dashboards

  • 03

    Data-intensive service firms

    “Manual reporting and fragmented data.”

    Where we startData pipelines and automated reporting

  • 04

    Institutional & professional clients

    “A need for an independent technical assessment of software.”

    Where we startIndependent evaluation reports and monitoring

What we measure

Technical performance, agreed before we start

Baseline and target technical metrics are agreed at the start of every engagement and written into the statement of work. They are measures of your systems and data, never of financial returns.

  • Completeness

    Data quality

    Sources, gaps, outliers, bias and governance.

  • Speed

    Latency

    How long the system takes to answer, measured under agreed conditions.

  • Load

    Throughput & reliability

    How much the system handles, and how it behaves when it is busy.

  • Efficiency

    Cost

    What infrastructure parameters cost to run for the work they do.

The VALOMON SIGMA Method™

One workflow, five documented steps

A documented workflow from baseline data to validated recommendations. Each step reduces uncertainty, and each output is written down so you can audit and reproduce it.

  1. Step 01 · S

    Sample

    Secure access to data and systems; agree scope and baseline metrics.

    OutputData inventory and baseline metrics

  2. Step 02 · I

    Inspect

    Profile data quality, gaps, outliers and bias; review the system architecture.

    OutputData quality and architecture report

  3. Step 03 · G

    Generate

    Engineer features, form hypotheses, design tests and benchmarks.

    OutputTest plan and analytical dataset

  4. Step 04 · M

    Model

    Build and calibrate statistical, algorithmic or performance models.

    OutputValidated models and recommendations

  5. Step 05 · A

    Assure

    Validate results, document the code, hand over and agree monitoring.

    OutputFinal report, code repository and monitoring plan

Services

Five services, one standard of evidence

Discuss a challenge

Professional B2B services, scoped for each client. Not a self-service software product.

  • Data Diagnostic & Quality Audit

    Assessment of data sources, quality, completeness and governance.

    You receive: Data inventory, Quality findings, Prioritised fixes

  • Quantitative Modelling & Algorithmic Analysis

    Statistical and algorithmic models for forecasting, optimisation, classification and simulation.

    You receive: Validated model, Assumptions log, Recommendations

  • Software Infrastructure & Parameter Evaluation

    Benchmarking and parameter evaluation for latency, throughput, reliability and cost.

    You receive: Test plan, Benchmark method, Tuning advice

  • Custom Programming & Data Pipelines

    Data pipelines, integrations, analytical tools and dashboards.

    You receive: Versioned code, Documentation, Handover

  • Analytics & Performance Monitoring Retainer

    Ongoing monitoring of agreed technical KPIs with reporting under the engagement terms.

    You receive: Agreed KPIs, Regular reports, Review notes

How we engage

Scoped in writing, delivered remotely

A quiet data-engineering desk at dusk with a laptop, a notebook with a hand-drawn grid and a pencil

Engagements are scoped in a statement of work, with defined deliverables and agreed technical objectives.

  • No access to your data or systems before a signed NDA and statement of work.
  • Which systems and data we may access is written into the statement of work.
  • Python and SQL analysis, with a version-controlled repository for each client.
  • No commissions from software or data vendors we recommend.

Illustrative image

Engagement formats

Start small, keep what works

Fees and timing are set in each statement of work. Most work follows the path below, but any format can stand alone.

  1. Fixed scope

    Diagnostic

    A defined look at your data or infrastructure, with documented findings.

    Ask about a diagnostic

    Services

    • Data Diagnostic & Quality Audit
    • Software Infrastructure & Parameter Evaluation
  2. Fixed scope

    Project

    Modelling or programming work with agreed deliverables and handover.

    Describe your project

    Services

    • Quantitative Modelling & Algorithmic Analysis
    • Custom Programming & Data Pipelines
  3. Monthly

    Retainer

    Ongoing monitoring of the technical metrics you agreed, with regular reports.

    Ask about monitoring

    Services

    • Analytics & Performance Monitoring Retainer

Any performance-linked fee is tied to technical metrics agreed in advance, never to financial returns, trading results or assets.

Questions?
Plain answers.

Do you offer investment or trading services?

No. Valomon sells technical services only: analysis, programming and evaluation. We do not give investment advice, trading signals or portfolio management, and we do not hold client funds, process payments or lend.

Is Valomon a software product?

No. Each engagement is professional work scoped for one client. You do not sign up to a platform.

When do you get access to our data?

Only after a signed NDA and statement of work. The statement of work sets which systems and data we may access.

What should we send in a first message?

A short description of the problem and the systems involved. Please do not send credentials, production datasets or confidential documents through the form.

Do you work remotely and in Spanish?

Work is delivered remotely. We can communicate in English or Spanish; tell us your preference when you write.

Can you show results from past clients?

Not on this site. We do not publish client results, and the sample deliverable shown above is illustrative only.

What needs to work better?

Tell us about the system, the data and the question you need answered. We reply by email, and nothing is agreed until both sides sign a statement of work.

At least 20 characters.

Describe the challenge without including credentials, production datasets or confidential documents. We use your message only to reply. Privacy Policy.