Preparing the flight
What we do
A model doing something impressive once, in a controlled window, with someone watching — that's a solved problem. It's also where most AI projects stop. Somewhere between that demo and your P&L, the thing gets pointed at the wrong workflow, measured against nothing, adopted by nobody, and quietly retired.
Dynode is an AI implementation studio that builds for the other side of that gap. Every system we ship has to keep working when no one is in the room, and has to move a number someone in your business already tracks. If a workflow can't clear that bar, the audit says so and we don't build it.
A structured review of your workflows, data, and tooling that finds the automation worth funding — and names the ones that aren't. Most audits rule things out. That's the point.
Senior engineers working alongside AI agents take the highest-value opportunity from blueprint to production software in weeks. Not a prototype you'll have to rebuild — the real thing, with tests, monitoring, and a rollback path.
LLMs, retrieval, and automation embedded where they move your metrics — inside your CRM, support desk, and operations, not bolted on beside them. Instrumented from day one, so you can see whether it's working instead of guessing.
Our products
The clearest thing we can show you isn't a case study — it's software you can open right now. These are ours: designed, built, and operated by Dynode, on the same process we'd use on your build.
Industrial SCADA, AI production forecasting, and algorithmic market trading for utility-scale solar and battery operators. When the forecast is wrong, the loss is real money on a real trade. There is no demo mode.
Visit dynvolt.com →
A project tracker with an AI delivery layer: agents pick up your cards, write the code, run the tests, and open the PR against your repository. Write the ticket — InPipe ships it.
Visit inpipe.app →
AI Search Optimization: tracks whether ChatGPT, Claude, Perplexity, and Gemini recommend your business, and tells you exactly how to change that. Customers make positioning decisions on the output.
Visit primoraly.com →None of these would survive as a demo. They run unattended or they don't run at all — which is the standard we hold client builds to.
One more step
Tell us the workflow that's costing you — the one with real volume, where someone is doing the same thing over and over. We'll reply within one business day with how we'd approach it, or tell you plainly if we're not the right call.
Audits are a fixed price, quoted before you commit. Build projects are scoped and fixed-price after the blueprint stage — most MVP builds land in the range of a mid-size software project, not an enterprise program. You always know the number before we write code.
One week for the audit, one week for the blueprint, and 4–12 weeks of build depending on scope. You see working software demos every week during the build.
We're model-agnostic: OpenAI, Anthropic, and open-weight models, retrieval (RAG) pipelines, and the modern web stack — plus integrations into CRMs, support desks, and internal tools your team already uses.
Your data stays in your accounts and infrastructure wherever possible. We design for least-privilege access, review data flows during the audit, and document exactly what is sent to which model provider and why.
Both. The audit format works for any size; build engagements fit best when there's a real workflow with measurable volume — support tickets, quotes, documents, bookings — where automation has clear ROI.
Then that's the deliverable, and it's the cheapest possible outcome for you. You keep the process map, the opportunity ranking, and the reasoning — and you've spent the price of an audit instead of the price of a build that wouldn't have paid for itself. It happens, and we'd rather it happen at the audit stage.
You can, we can, or both. Handover includes documentation, the evaluation setup, and access to everything we built — it's your system in your infrastructure. An ops retainer is available if you want us watching it, but it's a choice, not a dependency we engineer in.
Send a note through the form above or email hello@dynode.ai. We reply within one business day with a short set of questions, then a call — and you'll know after that call whether an audit makes sense.