Products

Your access controls were set up once and never reviewed. Your backups exist but nobody has tested a restore. Your infrastructure is held together by manual processes that one person understands. You're not sure if you'd pass a compliance review, and you're not sure you want to find out. We audit your security posture, backup strategies, access controls, infrastructure configuration, and disaster recovery readiness. Our team includes certified cloud security specialists who assess your environment against real-world attack vectors and operational failure scenarios, not just a compliance checklist. If you're running AI workloads, we also evaluate model isolation, data handling practices, and agent constraint boundaries.

You're either building AI into your product or evaluating whether you should. Either way, you need to know where you stand before committing budget and engineering time. For companies already running AI/LLM systems: we assess your architecture, agent orchestration, safety guardrails, context management, cost efficiency, and production risk. Are your models isolated properly? Can your agents escalate beyond their intended scope? Is your RAG pipeline actually retrieving the right context, or just the most recent? We find the gaps before your users do. For companies considering AI: we evaluate your existing product, data, and infrastructure to identify where LLM integration creates real value and where it would be expensive noise. You get a clear build-or-don't recommendation with architecture direction and cost projections.

An agency sent you a proposal. It's 15 pages of technical terminology, milestone timelines, and a number at the bottom. It might be perfectly fair. It might be double what the work should cost. It might describe an approach that sounds impressive but won't actually deliver what you need. You have no way to tell, and that's exactly what bad vendors count on. We review vendor and agency proposals from a senior engineering perspective. We evaluate whether the proposed architecture makes sense for your goals, whether the scope is realistic for the timeline and budget, whether critical items are missing or buried in assumptions, and whether the pricing is in line with what the work actually requires. You get a clear written assessment: what looks solid, what looks off, what questions to push back on, and whether we'd be confident signing it. If the proposal doesn't hold up, we tell you why and what to ask for instead.

You built your MVP fast using AI coding tools. It works. Users are signing up. But you don't actually know what's under the hood, and neither did the AI that wrote it. We assess codebases built with AI-assisted development to identify technical debt, security vulnerabilities, and maintainability risks before they buckle under real user load or investor scrutiny. This isn't an automated scan. Senior engineers review your code line by line to find the flaws AI left behind.

You describe the product vision. Your CTO or engineering lead nods. But somehow what gets shipped doesn't match what you asked for, and nobody can explain why. We identify exactly where your leadership vision breaks down on the way to the engineering team. You'll see the gaps between what you think is being built and what developers are actually prioritizing.

Your senior engineers cost $180K+ but spend half their time on work a mid-level could handle. Your team structure grew organically and now nobody’s sure who reports to whom or why. We evaluate role allocation, chain of command, and management dynamics to find where talent is misused and delivery is bottlenecked.

You're projecting 10x growth, but can your infrastructure actually handle it? We perform an independent assessment of your current architecture to identify structural weaknesses, scalability ceilings, cloud cost inefficiencies, and single points of failure before they become production incidents.

Features keep getting reprioritized. Sprints finish but nothing ships. The board asks why Q2 deliverables slipped to Q4. We examine how product decisions are made, prioritized, and executed, mapping the full path from business strategy to engineering output to find where things break down.