Apache Flink, Kafka, Spark, and ClickHouse consulting, team extension, and stream processing engineering for enterprise data infrastructure.
Stream processing consulting, team extension, and 24/7 support for Apache Flink platforms.
Event streaming architecture, Kafka operations, and managed Kafka services.
Spark Structured Streaming consulting and Spark-to-Flink migration.
Real-time analytics database consulting, deployment, and performance optimization.
Building and operating streaming data platforms with Flink, Kafka, and modern data infrastructure.
24/7 production support for Apache Flink, Apache Kafka, and ClickHouse — defined SLAs, incident response, and version upgrades.
We work with enterprises in regulated and data-intensive environments.
Global manufacturing and access control enterprise processing sensor data, optimizing operations, and building data-driven production systems.
Swiss insurance and healthcare organization managing sensitive data under strict privacy, compliance, and governance frameworks.
One of the largest Swiss banking institutions, operating under FINMA supervision with strict data sovereignty, regulatory compliance, and real-time processing requirements across nationwide retail banking.
Acosom delivers big data consulting, streaming data platforms, private AI, agentic AI, AI governance, and big data support — for regulated enterprises that run mission-critical data infrastructure in production.
We combine architecture, engineering, governance, and operations to deliver platforms that move from idea to production — and stay there.
Apache Flink, Kafka, Spark, and ClickHouse consulting for complex data platform, streaming, and enterprise data challenges.
Production-grade streaming data platforms with Apache Flink, Kafka, and modern data infrastructure — designed for scale and reliability.
On-premises AI that runs LLM inference on your live streaming data — GPU infrastructure, model quantization, RAG on Kafka/Flink, full data sovereignty.
AI agents that observe live events, reason over streaming context, and take action — from strategy to production deployment on private infrastructure.
AI governance and AI risk management for LLMs and agentic systems running on real-time streaming data — enforced at runtime, not just in policies.
24/7 production support and maintenance for Apache Flink, Apache Kafka, and ClickHouse — defined SLAs, incident response, and version upgrades.
Organizations typically engage us around concrete business initiatives.
Modern data lakehouse architecture, enterprise data platform modernization, and domain-oriented data products built for scale.
Turning live data into operational insights and automated actions — real-time analytics, decision intelligence, and operational intelligence.
Moving critical workloads back on-prem or into predictable hybrid setups — leaving Confluent Cloud, MSK, or Managed Flink for self-hosted equivalents.
Hands-on training courses taught by engineers who run Flink and Kafka in production — not textbook trainers.
We understand that architecture, governance, and operations look very different across industries.
Banking data analytics, real-time fraud detection, payment processing, regulatory compliance, and data sovereignty for financial institutions.
Insurance analytics, claims processing, risk assessment, policy management, and actuarial data platforms under strict regulatory oversight.
Utility data analytics, smart grid monitoring, smart metering, demand forecasting, and infrastructure management at scale.
Manufacturing analytics, industrial IoT platforms, sensor data processing, predictive maintenance, and production analytics at scale.
Healthcare analytics, patient data processing, clinical decision support, research data platforms, and strict privacy and compliance controls.
Supply chain analytics, fleet management, route optimization, real-time tracking, and operational intelligence across complex logistics networks.
We don’t just design systems — we operate what we build.
Our approach combines deep technical expertise with long-term operational responsibility. We design for production from day one, ensuring systems can evolve, scale, and remain reliable over years — not just until launch.
Whether it’s platform engineering, data architecture, or AI infrastructure, we stay engaged through the messy realities of production: upgrades, incidents, evolving requirements, and organizational change.
This is why many clients continue working with us well beyond the first project.
We specialize in systems that hold state, evolve over time, and must remain operational for years—not just proof-of-concepts.
We work with enterprises where compliance, audit trails, and data sovereignty are non-negotiable requirements.
We prioritize solutions that work in production over architectures that only look good on paper.
We implement governance models that enable teams to move fast while maintaining control and compliance.
We design for operations from day one—monitoring, upgrades, incident response, and long-term evolution.
We build lasting relationships with clients, staying engaged through system evolution, team growth, and changing business requirements.
An introduction to Apache Iceberg, the open table format that brings data warehouse reliability and ...
A hands-on look at how Kafka Streams and Apache Flink deal with state rebuilds in production, what ...
beconn AG and Acosom GmbH cooperate for innovative data mesh solutions in an event-driven based on ...