Enki System is a senior software and systems engineering team of 14 engineers. We take on demanding systems work with confidence: hardware bring-up, drivers engineered for efficiency, high-performance platforms, and smooth modernisation journeys.
From the moment the board powers on to the screen the user touches — one team, one discipline.
Kernel drivers, device trees and hardware enablement: Xilinx Zynq, NXP i.MX6/i.MX8, Raspberry Pi. Including WiFi, Bluetooth, PCIe, ALSA and Android HAL integration. QNX and FreeRTOS where hard real-time is required.
Kernel and network-stack tuning, multithreading, DMA and interrupt-path optimisation. Profiling under QEMU/KVM and on real silicon.
Go and Java services on GCP — GKE, Cloud Run, Cloud SQL — behind portals built with React, Vue and Svelte. Delivered with Terraform and CI/CD.
Production Flutter with platform channels, on more than a decade of Android and iOS. When the app and the device are the same project, we take on both.
WinAPI since 1992, through the C++Builder and RAD Studio years. Feasibility reviews of established desktop products and staged modernisation plans in Qt or WinUI/.NET.
MCP servers, tool interfaces and retrieval pipelines wired into systems that already exist; search with pgvector. Quantised on-device inference when the hardware has to do the work. Cloud-ready model setup on GCP — GPU and TPU included.
From camera hardware to the browser over low-latency WebRTC: capture, encoding (H.264/VP8), SFU architecture and sub-second glass-to-glass latency. Real-time visual AI on the stream: object detection, tracking and event recognition — with models running in the cloud or on the device itself.
Where latency is critical, we take the operating system out of the path — and when needed, move the work into the hardware itself.
Netmap and DPDK bypass the OS network stack entirely, eliminating system-call overhead. Packet processing down to 700 nanoseconds.
Custom network pipelines and processing logic engineered on specialised hardware — avoiding PCIe and CPU bottlenecks, latency down to 70 nanoseconds for critical real-time workflows.
Training and inference workloads accelerated with CUDA and Vulkan compute; signal and image processing offloaded to the GPU. Models set up cloud-ready on GCP — TPUs included.
* Latency figures are measurements from delivered project/application contexts; results vary with hardware, packet size, workload, and measurement method.
Systems running in the field for years. Each line summarises work that shipped and continues to carry load with confidence.
Ported a vendor WiFi driver to Linux 5.15, optimising DMA coherency and interrupt latency to production stability. Integrated with the Android WiFi HAL for concurrent STA + P2P operation.
TCP/IP stack tuning plus a custom packet-filtering kernel module built with kld and netgraph. Appliance latency cut with no hardware change.
12,000 users and 4 million documents, cut over seamlessly inside a single six-hour window. Integrations rebuilt as Spring Boot microservices; PostgreSQL and MySQL workloads tuned.
350+ corporate buyers against 4,000+ supplier catalogues. Integrated with Turkish bank payment gateways and buyer-side ERP feeds; carried through 15 years of production change.
Together with a field-service portal for an energy distribution client — a modern, central workspace serving 2,500 daily users.
A Model Context Protocol server in Go, exposing the archive to LLM clients as typed tools. Per-role access control, retrieval with pgvector, and query logging that shows who retrieved what.
* Production metrics refer to the delivered systems shown here and represent different workloads and periods.
On systems work we read the code and understand the full picture first. Every number we give rests on solid analysis — precise enough to plan a budget against with confidence.
Every week closes with a short written update: what was completed, what comes next, and what we need from you. Tracked hours, predictable invoices.
Your team receives build instructions, architecture notes and verification steps. Full ownership and independence stay with your team, at every stage.
With nearly four decades of consulting experience, we adapt to any codebase quickly. We start with one engineer and scale to fourteen with the same discipline.
C, C++, Go, C#, Java, Python, Dart, Kotlin, JavaScript / TypeScript, SQL
Linux kernel, FreeBSD, QNX, FreeRTOS, Solaris, AIX, HP-UX, device tree, Zynq, i.MX6/8, PCIe, ALSA, Android HAL, Yocto, virtualisation (QEMU/KVM), gdb/kgdb, Netmap, DPDK, SmartNIC
GCP — GKE, Cloud Run, Cloud SQL — Kubernetes, Docker, Terraform, GitHub Actions, GitLab CI/CD
PostgreSQL, MySQL/MariaDB, Oracle, MongoDB, Cassandra, Redis, TimescaleDB, SQLite
Flutter, Android, iOS, Qt, WinUI, .NET, React, Vue, Svelte
MCP servers, retrieval / pgvector, on-device inference, CUDA, Vulkan compute, OpenCL, TPU, cloud-ready model deployment, WebRTC real-time video
Tell us about your project. We'll analyse it together and give you a clear roadmap.
info@enkisistem.com