150+ completed projects

Projects That Speak for Themselves

Each implementation is a story of a solved business problem. Due to confidentiality agreements, we don't disclose company names - but the numbers and results are real. Click on a project to see details.


Project Story

They called us desperate. They had just lost a deal worth 2.3 million PLN because an agent forgot to call back a client - the note got lost somewhere in one of five Excel sheets.

That was the turning point. An agency handling premium properties worth 1-15 mln PLN couldn't afford such mistakes. The problem? Each agent had their own system - one used Notes, another Excel, third a paper notebook.

2.3M PLN Lost deal due to no system
How We Built It
Week 1
Day at the Office

We spent the whole day watching agents work. We noticed they waste 40% of time copying data between systems.

Week 2-3
MVP in 2 Weeks

Thanks to our ready CRM components we had a working prototype. Agents tested it live.

Week 4-6
Portal Integration

Hardest part - reverse-engineering Otodom and Gratka APIs. But we made it work.

Week 7-8
AI Matching

We trained the model on 3 years of historical data - which properties were bought by which clients.

Biggest Challenge

Property portals don't have public APIs. We had to build our own scrapers that work 24/7 and are resistant to layout changes. We built a system with automatic HTML structure change detection and alerts when something breaks.

99.7% Scraper uptime
Before vs. After
Before
  • 5 different Excel sheets
  • Manual listing entry on 8 portals
  • No client contact history
  • 12 lost leads per month
  • 4h daily on administration
After
  • One system for everyone
  • Auto-publishing on all portals
  • Full history of every interaction
  • 0 lost leads
  • 1.4h daily on administration
Results After 6 Months
+340% Lead increase from 45 to 198/mo
-65% Admin time 4h → 1.4h daily
2x Faster sales 67 → 34 days avg.
0 Lost leads vs 12/mo before
Technologies
Backend: .NET 8 Entity Framework SignalR
Frontend: React 18 TypeScript
Cloud: Azure PostgreSQL
That lost 2.3 million deal was the best thing that happened to us. It forced us to change. Now we laugh at that chaos - every lead is tracked, every contact saved. ROI? Paid off in 3 months.
Sales Director Premium Real Estate Agency, Warsaw

The Problem in Numbers
25% Product returns "Looked different in photo"
200+ Color combinations Impossible to photograph
2h Per custom quote Manual calculation
45% Abandoned carts Purchase uncertainty
How It Works for Customer
1
Choose Furniture

Customer chooses model - sofa, armchair, corner. Sees it in 3D, can rotate with mouse.

2
Configure

Changes upholstery color, leg type, adds pillows. Price updates live.

3
View in AR

Clicks 'View in room' - phone camera shows sofa in their living room, 1:1 scale.

4
Order Samples

Still unsure? Orders free fabric samples - arrive in 2 days.

What Surprised Us

We thought AR would be a gimmick. Turns out 67% of mobile users use this feature - and they have 3x higher conversion than those who don't use AR.

Average time on site increased from 2 to 8 minutes. People just play with configurator, testing different combinations. It's free marketing - they send screenshots to friends.

Results After 1 Year
-70% Return decrease from 25% to 7.5%
+180% Conversion from 1.2% to 3.4%
4.2M Revenue/year vs 1.5M before
8 min Avg. time on site vs 2 min before
Technologies
3D: Three.js WebGL WebXR
Frontend: Next.js 14 React Three Fiber
E-commerce: WooCommerce Stripe

Key Metrics
45,231 Downloads
68% MAU
4.8 Rating
12min Avg. session
89% Bookings in app
2.1M Bookings/year
Receptions Drowning in Calls

200+ calls daily just for reservations. Receptionists had no time for anything else. Clients waited 5-10 minutes on hold.

30% clients churned in first 3 months
Everything in Pocket

Booking in 3 clicks. Automatic reminders. QR code instead of card. Receptions can finally talk to clients, instead of answering phones.

-85% calls to reception
Gamification System

We designed a system that makes people WANT to work out regularly:

Workout Streaks

3, 7, 30 days without break = badges and points. People don't want to break streak.

Avg. streak: 12 days
Group Challenges

Monthly challenges between clubs. Which club will burn more calories?

78% participate
Rewards

Points exchangeable for smoothies, merchandise, membership discounts.

92% actively collect
Integrations
Apple Watch
Garmin
Fitbit
Google Fit
Apple Health
Stripe
What Users Say
★★★★★

"Finally don't have to call to book classes. I do it in elevator on my way to work."

— Kasia, user
★★★★★

"Workout streaks are my motivation. I have 47 days straight and not planning to stop!"

— Tomek, user
★★★★★

"Watch sync works perfectly. I see all workouts in one place."

— Marta, user
Mobile: Flutter 3 Dart
Backend: Node.js Firebase
Health: HealthKit Google Fit API

Security & Regulatory Compliance

Bank was skeptical about AI - rightfully so. KNF requirements, client data security, hallucination risk... We had to prove that chatbot can be SAFER than a human.

KNF Compliant GDPR Azure Poland
How We Ensured Security
Two-Step Verification

Before chatbot reveals any data, client must confirm identity via SMS and answer security question.

Full Audit Trail

Every conversation is recorded. Regulators can check anytime what chatbot said and why.

Anti-Hallucination Guardrails

Chatbot answers ONLY based on bank's knowledge base. Doesn't make up. When unsure - escalates to human.

Data in Poland

Everything hosted on Azure Poland. Client data never leaves the country.

What Chatbot Can Do
  • Information
  • Account balance
  • Transaction history
  • Exchange rates
  • Interest rates
  • Operations
  • Card block
  • Limit changes
  • Internal transfers
  • Standing orders
  • Support
  • Complaints
  • Product FAQ
  • Meeting scheduling
  • Advisor escalation
Results
73% Full automation no human needed
-2.1M Savings/year call center reduction
<30s Response time vs 8 min before
0 Security incidents in 12 months
We were very cautious. But after 3 months of pilot it turned out chatbot is safer than consultant - everything is logged, no mistakes when dictating account numbers. KNF had no objections.
IT Director Regional Bank

ROI in 6 Months
Savings +847K PLN Less manual work, fewer errors
Additional Revenue +2.3M PLN +28% sales YoY
Project Cost 320K PLN Payback in 6 months
What the Chaos Looked Like Before
Orders via email 35%
Orders via phone 28%
Orders via fax 12%
Via representatives 25%

Every order was manually entered into SAP. 3.5h daily on average. Errors cost tens of thousands monthly.

SAP Integration
B2B Portal
Real-time API
SAP S/4HANA
Inventory every 5 min Individual price lists Credit limits Order history
Results
89% Online orders vs 0% before
-95% Errors from 4.2% to 0.2%
+28% Sales year over year
24/7 Availability order at 3 AM
Our partners called to thank us. They say it's the best B2B portal they work with. And sales team can finally do what they should - sell, not retype orders.
Commercial Director

22%
of visits ended in no-show
180,000 PLN Yearly Down the Drain

Every fifth patient didn't show up for scheduled visit. Doctor waited, office stood empty, queue grew. Reception tried calling with reminders but couldn't keep up.

The Power of SMS
24h before visit
Reminder about visit tomorrow at 2 PM with Dr. Smith. Confirm: YES or cancel: NO
TAK
94% patients respond
2h before visit
In 2h visit with Dr. Smith, Main St 15. Remember documents.
No-show dropped from 22% to 5.5%
Doctors Save Time
Before

40% of doctor's time went to documentation. Manual entry in paper chart, then retyping to computer, searching patient history...

~15 min/patient on paperwork
After

Documentation templates for 50+ procedures. Doctor clicks checkboxes and adds comment. Patient history displays automatically.

~4 min/patient
Results
+62% More visits better utilization
-75% No-shows from 22% to 5.5%
-60% Documentation time templates
4.9★ Google 850+ reviews
Before I called 10 times to book. Now I schedule a visit in 2 minutes via phone, anytime. And those SMS reminders - can't imagine without them now.
Patient from Google Reviews

AI in Action: How We Analyze CVs
CV comes in
jan_kowalski_cv.pdf
AI analyzes in 3 seconds
87/100 Match
Why 87 points:
  • 5 years .NET experience (required: 3+)
  • Azure knowledge (bonus)
  • Led team of 4 people
  • No Kubernetes experience (-5 pts)
HR Department Transformation
Before Automation
500+ CVs monthly
80% unsuitable
45 dni hiring time
35% 3-mo turnover
After Automation
~100 CVs to review (top 20%)
92% suitable
15 dni hiring time
15% 3-mo turnover
Onboarding That Works

Before every manager did onboarding differently. New employee got a stack of papers and good luck. Now:

Day 1 Welcome to Company Video + quiz
Day 1-3 Tools & Systems Interactive tutorial
Week 1 Safety & Procedures E-learning + test
Week 2 Job Position Checklists + mentor
-67% Hiring time 45 → 15 days
3x More hires same team
-58% Turnover 35% → 15%
2 tyg. To productivity vs 6 wks before
Reviewing CVs was my nightmare. Hours reading unsuitable applications. Now AI does screening, and I get top 20 with explanation why they fit. I can focus on what I love - talking to people.
HR Manager Manufacturing Company, 800 employees

Live Dashboard - Manager View
Live
Today, Saturday
23 Today's bookings +12% vs last week
87% Today's occupancy
4 In progress now
12,450 zł Today's revenue Saturday record!
Black Friday 2023 - Why They Called Us

Previous system crashed 15 minutes into promotion. 340 people tried to book simultaneously. Server couldn't handle it. They lost an estimated 89,000 PLN in one hour before restart.

340 concurrent users
89K zł lost revenue
2h downtime
Performance Test - New System

Black Friday simulation - thousand users for 30 minutes:

Response time (p95) 287ms
Target: <500ms
Throughput 1,247 req/s
3x more than needed
Errors 0.02%
Only timeout on 3G
Server CPU 34%
Plenty of headroom
How We Achieved This
Redis Cache

Room availability cached with 1-sec invalidation. Database queried only on write.

Optimistic Locking

When 5 people click 'book' at once - first wins, others see instant message.

Payment Queue

Payments processed async. User doesn't wait for Przelewy24.

Key Features
Multi-location

One customer, multiple locations in one booking. Vouchers work everywhere.

Dynamic Pricing

Prices rise when occupancy >70%. Weekends pricier. Auto promotions in empty hours.

SMS & Reminder

Auto reminders 24h and 2h before. No-show dropped by 73%.

Vouchers & Packages

Discount codes, gift vouchers, corporate packages - all in one system.

Results After One Year
+34% More bookings better UX = more conversions
0 System crashes even on Black Friday
-73% No-shows thanks to SMS reminder
+18% Avg booking value package upselling
Black Friday 2024 - we had -40% on all rooms. 890 people on site simultaneously. System didn't even blink. It was our best day ever - 156 bookings in 24 hours.
Chain Owner 12 locations in 6 cities

Problem: Audit in 4 Months

Pharmaceutical company got notice of FDA audit. They had to prove 100% of employees completed GMP (Good Manufacturing Practice) training. Problem? Training was on paper, nobody knew who completed what.

Deadline: 4 months to full readiness
Learning Analytics - HR View
GMP Compliance 94% complete
94%
2,256 / 2,400 employees
Avg Training Time
23 min per module
Before: 2h in-person
Expiring Certificates
12 this week
47 this month
When People Learn

Engagement heatmap helps plan training deadlines:

Insight: Tuesday-Wednesday 10-12 is best time for mandatory training

Learning Paths
🔬
Lab Technician - Level 1
8 modules • ~4h
4
5
6
7
⚗️
Quality Control
12 modules • ~6h
Completed!
Knowledge Retention

We introduced micro-review quizzes. Result:

Traditional Training
100%
58%
35%
21%
Day 1 Week Month Quarter
With Micro-quizzes
100%
89%
76%
68%
Day 1 Week Month Quarter
+223% knowledge retention after quarter
5 Countries, 5 Languages
🇵🇱 Polski 1,240
🇩🇪 Deutsch 520
🇨🇿 Čeština 340
🇭🇺 Magyar 180
🇬🇧 English 120
Results
94% Training completion vs 67% before
-82% Training costs no rooms, trainers
100% Audit readiness FDA satisfied
+223% Knowledge retention after 3 months
FDA auditor was impressed. He could check any employee's certificate in 30 seconds and see when they got it, when it expires and if they passed the test. Before we'd search papers for an hour.
Compliance Director Pharmaceutical company, 2400 employees
In Numbers

Our Experience

150+

Completed Projects

98%

Satisfied Clients

12

Industries Served

8

Years of Experience

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