AI engineering, security, and infrastructure.
We design and build AI systems for production. When something breaks, we fix it. When a decision needs grounding, we provide the analysis.
Core capabilities
Systems that behave predictably under real conditions, with clear operational ownership.
Task-specific agents integrated with your tools, APIs, and access controls.
Brittle pipelines, latency spikes, failure modes, edge cases — under real data and traffic.
Networking, storage, security, and deployment patterns for AI workloads.
Detection automation and threat models that account for AI-specific risks, abuse paths, and data exposure.
Independent assessment of architectures, teams, and vendor claims for acquisitions or large internal bets.
Clean interfaces between AI components and the rest of your stack. APIs, workflows, and observability your engineers can own.
Who we work with
Teams with specific problems and real constraints.
CTOs evaluating AI investments who need an objective view of feasibility, cost, and operational impact.
Teams working through implementation — retrieval quality, latency, reliability, integration.
Automating threat detection and modeling AI-specific risks across the environment.
Scaling AI workloads while keeping costs, reliability, and observability under control.
Grounded technical assessment of AI products, teams, and vendor claims.
Sometimes the answer is that AI isn't the right tool. We'll tell you that early.
Why Stack Research
Accurate assessment and systems that behave the way you expect.
We design for runbooks, dashboards, and on-call engineers.
Proven patterns for AI workloads. Opinionated about infrastructure.
You work directly with the people doing the work.
Recommendations grounded in engineering experience, not vendor literature.
Every engagement produces complete technical documentation. Your team is more capable when we leave.
Senior engineers, limited clients, full attention.
How we work
Two modes. Both produce concrete deliverables.
Fixed-fee, fixed-timeframe. Architecture review, risk analysis, prioritized recommendations. A realistic picture of what will work and what won't.
Time-and-materials alongside your team. We build, debug, and document until the system is ready for handoff.
Get in touch
Tell us what you're working on — whether it's a new project, something that needs fixing, or an idea you're still figuring out. We may not be the right fit, just like AI. We won't know without a discussion. We can either help you course correct or partner with you to get to work. Either way, we'll set up a meeting and go from there.
mail@stackresearch.org