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Consulting

Data & AI Consulting for Mid-Market Businesses

The Same Engineering Discipline Behind the Hub, Applied to Your Business

Data diagnostics, cloud architecture, and executive dashboards with AI for mid-market businesses that need better decisions, faster.

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How We Work With You

Three ways to start: from a fast diagnostic to a full performance partnership.

Fast-Track Entry

Diagnostic + Dashboard

A fixed-scope, 2–3 week project: we map your data, deliver a custom dashboard, and hand you an initial action plan. No recurring commitment required.

Best for: businesses that need to get their house in order before scaling.

Direct Advisory

1:1 Strategic Sessions

Recurring working sessions focused on your specific numbers, reviewing performance, unblocking decisions, and adjusting priorities as your business moves.

Best for: founders who want a strategic partner in the room, not just a report.

Full Engagement

Infrastructure & Intelligence Build

End-to-end delivery: data pipelines, cloud architecture, and AI-powered executive dashboards, the same methodology behind the Fitness Performance Hub, applied to your business.

Best for: businesses ready to build the system, not just see a snapshot of it.

Performance Labs

WHERE DATA ARCHITECTURE MEETS BUSINESS STRATEGY

Strategic Finance: EBITDA Optimization

THE CHALLENGE

A 5-year P&L model for a fintech operation lacked the granularity to track margin erosion across revenue streams, Interchange, FX and Interest, while managing churn, CAC and OPEX growth simultaneously. Financial decisions were made without a clear bridge between top-line growth and bottom-line protection.

THE STRATEGY

Full FP&A architecture built from scratch: revenue decomposition by stream, variable cost modeling per cohort, and OPEX growth controls tied to client acquisition. A waterfall P&L structure exposed the exact levers driving margin, taking EBITDA from 2.66% in Year 1 to 23.63% in Year 5 with a 2,199% absolute gain.

+2,199%

EBITDA GROWTH Y1→Y5

23.6%

EBITDA MARGIN YEAR 5

2,218B

TOTAL REVENUE YEAR 5

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Dynamic Pricing Engine (AI)

THE CHALLENGE

Price 354K used vehicles in real-time for a consumer marketplace app, requiring high prediction accuracy to prevent margin erosion and maximize conversion rates.

THE STRATEGY

Benchmarked 3 models (Linear Regression, Random Forest, LightGBM) across quality, training speed and prediction latency. LightGBM won on all fronts: lowest REQM at €1,670, trained in 12.9s and predicts in 0.25s, enabling a seamless real-time user experience.

€1,670

BEST REQM

0.25s

PREDICTION LATENCY

354K+

VEHICLES ANALYZED

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CapEx Risk Intelligence (AI)

THE CHALLENGE

Allocate a $100M Capital Expenditure budget across 3 oil exploration regions, with a hard mandate that loss probability must stay below 2.5%. Two of three regions failed this threshold.

THE STRATEGY

Linear Regression model trained on 300K well records (REQM 0.89) combined with 1,000 Bootstrap simulations to stress-test profitability. Region 1 emerged as the sole viable candidate: highest expected return at $6.65M with only 0.20% loss risk.

$6.65M

EXPECTED PROFIT

0.20%

LOSS RISK

0.89

MODEL REQM

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Revenue & Margin Optimization

THE CHALLENGE

48,620 transactions revealed a critical imbalance: 59.5% of annual revenue was generated between 12PM and 5PM, while the evening/closing shift consumed proportional labor and inventory for only 8.1% of total revenue, a direct drag on operating margin.

THE STRATEGY

Data-driven shift reallocation: 50% of workforce and stock redirected to the 12PM–5PM peak window. KPI deployment aligned logistics to real-time demand patterns, exposing Friday as the highest-yield day (+37% vs Sunday) and Large pizzas as the top revenue driver at 45.9% of total sales.

59.5%

PEAK WINDOW SHARE

−7.2%

NIGHT OPEX REDUCTION

$817K

ANNUAL REVENUE MAPPED

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Immigration Intelligence (AI)

THE CHALLENGE

Immigration consulting firms make critical timing decisions based on intuition. Over 10 years of IRCC public data remained unexplored as a strategic asset.

THE STRATEGY

GradientBoosting model trained on 482K+ IRCC admission records to predict approval windows by visa category and province, identifying Q1 as the peak approval quarter for Brazilian applicants.

482K+

RECORDS ANALYZED

R2 0.79

MODEL ACCURACY

Q1

PEAK APPROVAL WINDOW

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Delivery Methodology

01. Discovery

Technical and financial audit to establish a performance baseline.

02. Infrastructure

Implementation of data pipelines and cloud architecture.

03. Intelligence

Deployment of AI models and executive dashboards.

04. Performance

Ongoing sessions focused on profit-target achievement.

Maximize Your Business EBITDA

Direct strategic dialogue for mid-market scale and efficiency.

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