### AI-Driven Data Analysis for Sustainable Agriculture

The challenge was to build a robust data pipeline capable of aggregating, cleaning, and processing large-scale soil and agricultural datasets while ensuring high accuracy in predictive models.

### Client Scoring System and Internal Data
Collection

1) Goals: Integrate with financial institutions to facilitate real-time data collection and client scoring, improving decision-making. Provide seamless, automated workflows that could scale with the company’s growing seller base and support real-time financing. 2) Solutions: We designed a scalable, microservices-based architecture with real-time banking API integration, enabling seamless workflows, flexibility, and efficient credit approvals for Seller Capital.

### Leading Medical Equipment Website

1) Goals: Improve the load times and efficiency of the web application by optimizing static content compression and caching. Remove unused dependencies and code to reduce JavaScript execution time and to make sure that content is served optimally using Cloudfront CDN 2) Solutions: We optimized performance by enabling compression, configuring Cache-Control headers, and streamlining the codebase through dependency removal and lazy loading.

### Handmade ERP System

Handmade ERP system for the German company

### Predictive AI for Cell Tower Failures

How to prevent big problems with small investments.

### AI Data Analysis

AI Data Analysis & Insights for Financial Analysts

### BL4SEA

BL4SEA - Remote Verification for Vessel Crews

### P2P Lending Application

1) Goals: Rewrite key sections of the application code. Implement a flexible B2B integration scheme to onboard business partners quickly. Create a secure and reliable transaction process between borrowers, lenders, and business partners. Integrate with various payment and service providers to enhance the platform’s functionality. 2) Solutions: We used Agile methods to develop a secure, scalable, and user-friendly platform tailored to borrowers, lenders, and partners.

### Retail Sales Forecasting & Location Optimization Platform

1) Goals: The client needed a smart analytics solution. It had to predict retail sales using geographic location data. The goal was to identify optimal store locations. The focus was on maximizing profitability through strategic site selection. 2) Solutions: We built an AI-powered predictive model using geospatial analytics, ML, and sales data, with interactive maps for easy decision-making.

By: Sonya Stefanovic, Helsingor

Thanks to Valletta.Software team with the OpenClaw installation. Fast, cost-saving, and VERY PATIENT in explanation!!!

By: Philipp D, FDZ.WORLD

We approached Valletta.Software when our CRM budget was significantly constrained. Their proposal came in at roughly half the price of every other vendor we evaluated, and I was honestly skeptical at first. But they delivered on time, within budget, and the system works exactly as we needed it. For a nonprofit with limited resources, that combination is rare. I would recommend them without hesitation to any organization that needs serious software development done responsibly.

By: Olga Emelianova, Art In Knitting

They helped me with the OpenClaw installation, which saved me helluva time. The budget of the total work was not high, but the impact is incredible And thanks to guys that they explained everything to me very patiently and thoroughly

By: Galina Mekibel, CLIR

Project delivery ran across roughly 14 weeks. Discovery phase was thorough — two structured workshops with our senior consultants where they mapped actual user workflows rather than guessing them. First demo at week 5 already showed a working case list with filtering and deadline logic. No major surprises in scope; one change request around the client portal notification model was handled without friction and without a disproportionate cost conversation. Communication was consistently professional. The project manager maintained a shared Slack workspace, responded within the same business day on all blockers, and ran bi-weekly demos that our non-technical managing partner could follow without a translator. That matters a lot for a boutique firm like ours where decisions move fast. What we valued most was that they understood the compliance context without us having to over-explain it. They asked the right questions about audit trails, document versioning, and access logging from day one — which is not something we expected from a general software shop. The end product passed our internal security review without rework. We continue working with Valletta on iterative feature additions. Would recommend without hesitation for any professional services or regulatory-facing business that needs a custom internal tooling platform built correctly the first time.