B.02.01, Practice / Technology
The system underneath
the product.
Fullstack engineering, infrastructure, applied AI, internal tooling, integrations. Senior engineers, start to handoff.
The people who design the system write the code, ship it, and write the runbook. Built so your team can run it after we hand it over — and we stay reachable if you need us.
What we build.
One bench. One deploy. One handoff. No vendor stack your people have to reverse-engineer six months in. No agency-of-agencies passing work down a chain.
We pick the stack your team can run, not the one trending in a deck. Most builds sit on a small set of well-understood tools boring in the way a runbook should be boring. Trust, speed, reliability. In that order.
Eleven concentrations.
Each one is on this list because we’ve shipped it enough times to know where it breaks. Patterns, scaffolding, and runbook ready before the work starts.
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D.02.01
Web platforms
Marketing sites, product surfaces, content systems. A small standard stack your team can run without new tooling. Speed and accessibility are part of shipped, not a later phase.
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D.02.02
Internal tooling
Dashboards, admin consoles, workflow tools, the boring middle that runs the business. Most of what we ship is internal. It’s the work that decides whether a venture scales or breaks.
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D.02.03
E-commerce
DTC storefronts, B2B catalogues, headless commerce. And the work after checkout, fulfilment, returns, lifecycle email, that decides whether the launch holds.
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D.02.04
Dashboards & analytics
Analytics built against your actual warehouse, not a SaaS tool pretending every business has the same five metrics. Real numbers, fresh, and only the ones worth measuring.
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D.02.05
Automation
Ops and finance workflows automated end to end. The tooling sits inside your business. The result shows up on the calendar, and your team gets the hours back for the work that actually moves the venture.
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D.02.06
Integrations
Stitching the venture’s systems together, payments, data, storefront, deploy, the niche tools each business actually uses. Less framework. More tested glue.
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D.02.07
DevOps & infrastructure
CI, deploys, observability, on-call. Runbooks written during the build, not after. Handoff is the manual and the codebase, not the codebase alone.
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D.02.08
Applied AI integrations
Agents, retrieval, and LLM features shipped inside real products, on patterns we’ve already run in production. We don’t ship anything that hasn’t survived our own deployment first.
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D.02.09
Mobile applications
Native iOS and Android builds, and cross-platform where the brief warrants it. We scope mobile versus web at the start of the engagement, the right surface for the actual use case, decided before a line is written.
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D.02.10
Enterprise systems
Large-scale backend architecture, data pipelines, ETL systems, and the operational infrastructure that holds a company at scale. Built to the load it will actually run under, not the load that fit in the slide.
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D.02.11
AI-augmented workflows
Custom model integrations built into the tools your team already runs, not a chatbot layer bolted on top. LLM reasoning where it closes a real gap, human judgment where it has to.
The Labs connection.
TNAADO Labs is the experimental division: long-running AI systems, applied research, and production deployments that run outside the normal engagement cycle. What survives there feeds directly into client work, the patterns, the failure modes, and the production-hardened scaffolding we don’t have to rebuild from scratch.
When a client engagement touches AI or data infrastructure at scale, it draws on systems already running under load, not prototypes built for the brief.
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