End-to-end technology services

We design and build production-grade software across the full lifecycle: architecture, implementation, testing, deployment and support. Our background includes payment platforms, real-time pricing engines and trading systems where latency, reliability and observability are non-negotiable.

• System & solution architecture
• Microservices and event-driven design (Kafka)
• Low-latency services in Python, Rust, Java and C++
• REST and gRPC APIs, legacy integration

From real-time ingestion to the data warehouse: we build pipelines with Spark, Kafka and Airflow, set up data-quality controls and observability, and migrate legacy platforms to the cloud (including a 120 TB migration to Google Cloud).

• Streaming with Kafka and Confluent Cloud
• Spark, Airflow and Delta Lake pipelines
• Snowflake, BigQuery and Redshift warehouses
• Data quality, monitoring and cloud migrations

We integrate large language models into real workflows (content generation, classification, assistants and agents) and build machine-learning models for forecasting and risk, always measured against business metrics, not demos.

• LLM applications and AI agents
• AI-powered process automation
• Forecasting and predictive models (incl. neural networks)
• NLP and AI content generation

We run the full advertising and analytics stack for Amazon sellers across 11 marketplaces (US, UK, DE, ES, FR, IT, NL, PL, SE, BE, IE): automated campaign creation, keyword generation, bid optimization, real-time P&L dashboards, stock control with demand forecasting, and alerts when Amazon changes your listings.

• Sponsored Products, Brands, Display and TV via the Ads API
• Algorithmic bid optimization with ACOS control
• SP-API automation: stock, forecasting and reorders
• Listing monitoring and LLM-powered listing SEO

We automate infrastructure with Terraform, run containerized workloads on Kubernetes, Fargate and serverless platforms, and ship with CI/CD and GitOps (Argo CD, Argo Workflows) for frequent, reliable releases at a controlled cost.

• AWS, Google Cloud and Azure
• Terraform and infrastructure as code
• Docker, Kubernetes and serverless
• CI/CD and GitOps with Argo CD

Our quantitative work covers real-time ETF valuation pipelines, pricing libraries for swaps and fixed income rewritten in Rust, market-data connectors, and low-latency arbitrage and market-making systems connected to 30+ crypto exchanges.

• Real-time pricing and valuation (e.g. ETF iNAV)
• Market data: Refinitiv, Bloomberg, CME
• Pricing libraries for fixed income and rates
• Crypto market making and exchange integration