Our portfolio

We created an AI-powered knowledge layer for a multinational financial firm, unifying fragmented documentation, spreadsheets, and databases into a structured, machine-readable model. Python, Databricks, Airflow, LLMs, and RAG agents map entities, relationships, and processes across business domains. This enables fast, natural-language impact analysis, reduces dependency on key experts, and lays the foundation for future AI and analytics initiatives.

For a global consulting firm, we implemented a Peppol Access Point microservice to securely send and receive e-invoices. Using Java, Spring Boot, AS4, SMP/SML, Docker, and Kubernetes, the solution ensures full Peppol compliance and seamless integration with enterprise systems. The client now achieves reliable, automated invoice exchange, reducing manual effort and meeting international e-invoicing standards.

We developed a multi-agent AI platform for a large financial enterprise to deliver intelligent, context-aware customer support. Each agent specializes in domains like billing, products, and policies, reasoning across systems to provide accurate answers and actionable guidance. Built with Python, LLMs, RAG, and vector databases, the solution reduces support load while enabling scalable AI-driven customer journeys.

For a technology firm in financial services, we built an AI-driven platform to understand how changes affect reports, systems, processes, and documentation. Using Python, Databricks, Spark, and LLM-powered RAG, all internal documentation and databases were unified into a connected knowledge graph. Teams can now ask natural-language questions, perform faster impact analysis, and reduce operational and regulatory risk.

The goal of this project was to build an interactive demo application that showcases the integration of the TrueLayer Open Banking API, the Stripe payment system, and an automated client assessment module.
The application demonstrates how third-party payment data and real bank transactions can be combined, displayed, and analyzed to produce a financial risk assessment.

See how we built a full-stack demo app to showcase SEB Open Banking API integrations — from PSD2 to FX rates.

Introducing the TradingView Demo Web Application: a fintech showcase replicating TradingView’s advanced charting tools, real-time market insights, and dynamic alerts. Highlights include customizable chart types (candles, Renko, Heikin Ashi), technical analysis features (trend lines, Fibonacci retracements, pattern recognition), comprehensive statistics (market cap, P/E, earnings charts, seasonals), and responsive notifications. Accessible at https://tradingview.scaleragency.io/, it elevates your platform’s data visualization and decision-making capabilities.

For a fast-growing European wealth manager, we delivered a modular Stripe integration—built as a microservices Payment Gateway Service atop Node.js/Express, with React web and React Native mobile frontends—to handle secure one-time and recurring payments, multi-currency transactions, and KYC-compliant payouts. Leveraging Stripe Payment Intents, Subscriptions, and Connect, plus PCI DSS SAQ-A, PSD2 SCA (3D Secure v2), end-to-end encryption, idempotent webhooks (via AWS SQS), and observability (Elastic Stack/OpenTelemetry), we achieved 99.8% success, 15% faster checkout, and rapid seller onboarding.

Introducing the Meme Coin Creator Platform: a Solidity-based launchpad enabling anyone to mint and sell custom ERC20 “meme” tokens on Ethereum. Powered by a Factory.sol contract that collects creator fees, deploys a new Token.sol (1,000,000 supply via OpenZeppelin ERC20), and orchestrates a bonding-curve sale with funding targets, purchase limits, and automatic closure. Unsold tokens and raised ETH are released to creators post-sale. A streamlined, fee-driven model for rapid, trustless token launches.

Introducing the Transactions smart contract: a Solidity 0.8.0-based decentralized ledger on Ethereum that records, tracks, and manages cryptocurrency transfers with transparent, immutable history. It uses a TransferStruct to store sender, receiver, amount, message, timestamp, and keyword, maintains a running transactionCount, and exposes functions to add, retrieve, and count transactions. Paired with a sleek, gradient-styled UI, it simplifies secure, cost-efficient Web3 transfers for all users.

Ethereum is a decentralized, open-source blockchain platform that enables the creation and execution of smart contracts and decentralized applications (dApps). Launched in 2015 by Vitalik Buterin and a team of co-founders, Ethereum expanded blockchain technology beyond simple value transfer (as with Bitcoin) to a programmable platform where developers can build applications with complex logic.

The native cryptocurrency of Ethereum is called Ether (ETH), which serves dual purposes:

1. As a digital currency for transactions
2. As "gas" to pay for computational resources when executing smart contracts