Expertise
We work where reliability matters most. Blockincrement focuses on a small set of domains where deep expertise turns demanding requirements into dependable, real-world systems.
What we do
Defence C2, counter-UAS and sensor data fusion
Blockincrement develops C2 expertise for defence and security systems that connect sensors, air-picture context, operator workflows, audit trails, and safety rules into a reliable operational picture.
Through CroGuard and strategic cooperation with KONČAR Digital, Blockincrement is developing C2 capabilities for complex defence and security environments.
AI tools and product infrastructure
We build AI tooling and the infrastructure behind AI products: agent platforms, retrieval pipelines, evaluation, and the data plumbing that makes models dependable in production rather than impressive only in a demo.
Broadcast graphics, election data and live systems
We build real-time broadcast and data systems for major media organisations: on-air graphics, election and live data pipelines, low-latency distribution, and resilient streaming that has to stay up while millions are watching.
SaaS and business platforms
We design and operate SaaS and business platforms end to end: scalable architecture, clean UX, and the integrations teams depend on day to day. Our own products in this space include InCRM, DeXpiry, and SourceVerify.
Secure platform engineering and partnerships
Security and reliability are built in, not bolted on. We focus on encryption, auditability, and stable operations, and we work as a long-term partner rather than a staffing shop, extending teams with our verified partners when it adds value.
Engineering capabilities
The cross-cutting engineering we bring to every domain — the building blocks behind systems that have to stay up under real load.
Real-time systems
Event-driven architectures with WebSocket and message-broker transport, engineered for thousands of concurrent connections and sub-10ms message latency.
Cloud platforms
Containerized, Kubernetes-orchestrated deployments on AWS with autoscaling, isolated dev/test/production environments, and infrastructure as code.
AI infrastructure
Agent platforms, retrieval pipelines, evaluation, and the data plumbing that turns models into dependable products rather than demos.
Secure integrations
Encrypted, audited connections to third-party and industry systems — including broadcast MOS/playout — with credential isolation and validation built in.
Observability
Metrics, health/liveness/readiness probes, and DevSecOps scanning wired into CI/CD, so problems surface before users ever notice them.
Data pipelines
Change-data-capture, streaming, and ETL pipelines that move authoritative data reliably from source to screen, at live scale.
Let's talk if reliability is the requirement.
We are a good fit for defence, AI, real-time data, broadcast, and product engineering work where domain understanding matters as much as code.