AI-native. Security-critical. Low-latency.
We build, harden, and stabilize software where trust, latency, and cost decide the outcome.
Core Delivery
Build, stabilize, and move with engineering clarity.
Platforms • Delivery • Reliability
Build production systems that keep shipping under pressure.
Desktop • Mobile • APIs • AI • Evidence
Audit real attack paths across desktop, mobile, APIs, AI, and devices.
Strategy • Architecture • Modernization
Make the next technical move with evidence, not drift.
Feasibility • Prototyping • Integration
Prove the technical bet before the bigger commitment.
AI Systems
AI systems with control, economics, and production discipline.
Agents • Tools • Evaluation • Control
Build agent systems that stay useful, bounded, and supportable.
AI Security • Authorization • Governance
Control what AI can access, decide, and execute.
Sensitive Data • Guardrails • RAG Boundaries
Keep sensitive data from crossing the wrong AI boundary.
Latency • Throughput • GPU Efficiency
Reduce latency and serving cost without sacrificing product quality.
Orchestration • Integrations • Runtime Control
Move complex AI automation into production with control.
Deep Engineering
Deep systems work when performance, trust, or visibility breaks higher up.
SDKs • Runtimes • Observability
Solve native performance and OS-boundary problems without guesswork.
Market Data • Execution • Determinism
Engineer deterministic trading systems where variance becomes cost.
Kernel Mode • Drivers • OS Internals
Ship deep OS integration without destabilizing the host.
Binaries • Firmware • Protocol Recovery
Recover the truth hidden inside opaque software and firmware.
Firmware • Binaries • Embedded • Forensics
Recover behavior, interfaces, and risk when source and docs fall short.
Spain, Germany, the Netherlands, Italy, Poland, Ukraine, the United States, Singapore, and Japan.
Engineering Breadth
We work across product engineering, neural systems, low-level software, frontier prototypes, and the security and privacy controls serious buyers now expect around AI and critical software.
Software & Platform Engineering
This is the delivery core: software engineering, platform work, APIs, distributed systems, performance tuning, and the sort of native depth needed when reliability and speed are part of the product.
AI, Neural & Agent Systems
We build applied AI systems where models, prompts, retrieval, orchestration, inference economics, and runtime control have to work together as one production system.
Prototypes, Research & Quantum
Some work begins before the roadmap is clear. We build technical prototypes, research implementations, and exploratory systems when clients need proof, feasibility, or a sharp read on a hard direction.
Security, Privacy & AI Trust
Security is still part of the stack: software audits, AI-specific abuse paths, reverse engineering, data-leak prevention, and the trust controls serious buyers expect around modern systems.
A practical guide to technical PoC engineering for frontier systems. It shows how prototypes expose risk, build confidence, and earn a credible next step.
A practical roadmap for post-quantum transition planning in software products. It covers crypto inventory, migration sequencing, partner dependencies, and operational readiness.
A technical guide to hybrid quantum-classical optimization for frontier problems. It covers decomposition, orchestration, and where early value is most realistic.
A practical guide to where quantum machine learning fits today. It compares quantum and classical approaches and shows how to evaluate meaningful use cases.
A grounded guide to where quantum computing is applicable today. It helps CTOs and product teams separate real opportunities from interesting but premature experiments.
A technical guide to real-time edge video AI under latency and power limits. It covers inference cadence, backpressure, deployment reliability, and systems tradeoffs.
A practical guide to using eBPF for production troubleshooting. It shows where eBPF helps, where it does not, and how teams turn traces into concrete fixes.
A technical guide to low-latency crypto trading infrastructure under real pressure. It covers queueing, timing, placement, replay, and the habits that keep systems sharp.
Open the technical blog for the full archive of engineering notes on AI systems, low-level software, security, testing, and production architecture. More guides, more categories, and every article live there.
Privacy-disciplined delivery
When delivery touches customer data, employee data, regulated workflows, or cross-border operations, privacy stays aligned with the engineering path from the start.