A17 · Cases

100+ data and AI projects — here's a sample.

Selected cases from our delivery work across finance, manufacturing, FMCG, energy, and tech. Every case: context, problem, what we built, and the business result.

Finance · Delivery

Single source of truth for a European neo-bank — DWH, unified reporting, zero spreadsheets.

Software savings
$250k
Annual operational saving
$100k /yr
Manufacturing · Delivery

Data lake for a heavy-machinery dealer — analytical request time cut from 5 days to 4 hours.

Annual savings
$360k /yr
Request turnaround
30× faster
FMCG · Delivery

Data Mesh on Azure Synapse for a global enterprise — $550k saved on a $900k integration budget.

Integration budget saved
$550k
Stack
Synapse · Hadoop · NiFi · Kafka
Energy · AI Delivery

ML forecasting for an oil & gas company — manual geophysical modeling replaced with a Python/R/C++ pipeline.

Logistics savings
$850k /yr
Forecast accuracy
+34%
FoodTech · AI Delivery + Talent

AI-first meal-plan recommendation app — from concept to production, then hired and onboarded the full team.

Concept to production
3 months
In-house team hired
8 people
Automotive · Delivery

Master data system for a parts distributor — data quality corrected, analytics unlocked.

Saved on data corrections
$130k
Outcome
Analytics finally usable
Travel Tech · Talent

Senior product data analyst placed for a scaling travel-tech company — within target salary range.

Time to signature
17 days
Salary band
On target
FoodTech · Reporting & Analytics

Reporting automation for a food tech company — 186 hours per month of manual Excel work eliminated.

Manual hours saved
186 /mo
Method
Excel → automated dashboards
eCommerce / FoodTech · AI Delivery

Personalized food recommender MVP launched without an in-house data-science hire.

Time to MVP
~2.5 months
Outcome
Live without DS hire
Hardware / Data Centers · AI Delivery

Full-cycle data-centric MVP for a data-center optimization startup — ready in 7 weeks.

Time to MVP
7 weeks
Pilots secured
2
Venture / Platform · AI Delivery

Data scientist on demand validates an investor-matching concept in two weeks.

PoC delivery
2 weeks
Outcome
Full MVP commissioned

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