Lower risk. Lower latency. Faster rollout.
Senior engineers for product delivery, cybersecurity, AI, and low-level systems - focused on outcomes leadership can defend.
How You Can Hire Us
Solve the urgent problem. Ship the product work. Or add the team that keeps the roadmap moving. Each path starts small, stays direct, and gives the buyer progress they can see.
Bring the hard problem. We turn it into evidence, priorities, and a clear path forward.
Build, modernize, and scale the product with senior engineers who own the outcome.
Add the team behind the team. Dedicated, augmented, or white label capacity that feels built in.
Core Delivery
Custom software development, dedicated teams, and delivery support for systems that must keep moving.
Selected capability
Ship product work faster while keeping architecture, reliability, and cost defensible.
Platforms and products that must stay fast, safe, and worth running.
Selected capability
Make architecture, modernization, migration, and delivery decisions with evidence instead of drift.
Architecture, modernization, research, security, AI, migration, and performance decisions for teams that cannot afford the wrong bet.
Selected capability
Validate the technical bet before scaling into outsourcing, a dedicated team, or a larger build.
We build proof-of-concept systems across AI, software engineering, reverse engineering, embedded work, security research, and difficult integrations when the team needs evidence before committing to a…
Security
Security audits, certification, and recovery for systems that need evidence before the next buyer conversation.
Selected capability
Reduce incident and procurement risk with evidence across real attack paths.
We audit desktop software, mobile apps, backend services, AI features, APIs, embedded surfaces, and the trust boundaries between them as one real system.
Selected capability
Security certification after full review and verified remediation.
Selected capability
Restore operations after encryption, protect the clean rebuild, and reduce repeat compromise risk.
We help teams recover after ransomware (crypto lockers / encryptors) with a calm, evidence-led track: stop the spread, validate what is encrypted, attempt safe decryption when…
AI Systems
AI engineering, security, governance, and production delivery for agentic and data-heavy systems.
Selected capability
Move agentic AI into production with useful workflows, guardrails, and supportable operations.
We design and harden agent workflows that call tools, make bounded decisions, and stay usable in production.
Selected capability
Control what AI can access, decide, and execute before it touches sensitive business systems.
We secure LLM features and agent workflows with threat models, authorization, data boundaries, and auditability.
Selected capability
Keep sensitive data from crossing the wrong AI boundary and slowing enterprise adoption.
We design and audit the data boundaries around AI systems so sensitive information stays out of prompts, retrieval, memory, logs, and model outputs.
Selected capability
Reduce latency and serving cost without sacrificing product quality.
We optimize serving stacks for AI products where response time and GPU spend are already business problems.
Selected capability
Move complex AI automation into production with approvals, observability, rollback, and cost control.
We take multi-step AI systems from promising prototypes to controlled production workflows with integrations, approvals, observability, rollback, and cost discipline.
Performance
Load, latency, and runtime evidence for systems where speed and capacity decide the business case.
Selected capability
Authorized Layer 7 load testing for web apps, APIs, and business-critical user paths.
We design authorized Layer 7 tests for web apps, APIs, login flows, checkout paths, media endpoints, and custom business logic.
Selected capability
Engineer deterministic trading systems where latency variance becomes direct commercial cost.
Trading infrastructure for teams that care about p99.9, replay, recovery, and real market conditions.
Deep Engineering
Low-level engineering, reverse engineering, kernel work, and performance systems for buyers who need depth.
Selected capability
Solve native performance and OS-boundary problems that affect cost, stability, and roadmap confidence.
Native engineering for runtimes, SDKs, endpoint components, device software, and systems that need real control.
Selected capability
Ship deep OS integration without destabilizing the host or creating rollout risk.
We build kernel-mode components for endpoint security, device software, observability, and performance-critical paths.
Selected capability
Recover the truth hidden inside opaque software and firmware so decisions stop depending on guesses.
We reverse engineer firmware, desktop software, embedded components, update packages, and opaque binaries when documentation is missing, trust is uncertain, or behavior has to be proven…
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.
Swipe to explore more articles
A detailed security case note on the TanStack supply-chain attack, CI/CD exposure, developer endpoints, secret risk, and certification.
A practical security case note on the Check Point VPN flaw, remote-access exposure, ransomware risk, and how StOFU verifies perimeter closure.
A detailed security case note on Oracle PeopleSoft zero-day exploitation, ERP exposure, incident evidence, remediation, and certification.
A long-form security case note on OAuth token abuse, Salesforce-connected apps, CRM exposure, and how StOFU reviews SaaS integration risk.
A detailed guide to why security-critical companies choose SToFU for engineering depth, full-contour review, remediation verification, evidence, and certification.
A current security briefing on AI driven attack surface growth, full security contour review, agent risks, remediation evidence, and SToFU Security Certification.
A clear incident brief and response checklist for teams shipping on Vercel. What is confirmed, what is unknown, what to rotate, and how to reduce OAuth blast radius.
A practical article on why reverse engineering became more valuable in the AI era, where AI accelerates the work, and where human validation still decides the answer.
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.