Jetstream Dynamics is an aviation advisory and operations partner. They know the field — fleet decisions, operational realities, the regulatory terrain of flight. We build their stack. This is an active partnership, and it is the clearest example of how we work with domain experts.
The partnership
Jetstream supplied the aviation expertise and requirements. Binari handled the web platform, interfaces and data foundations.
That is the arrangement. Jetstream supplies domain expertise; Binari handles software engineering. Jetstream defines what matters in aviation advisory — the workflows, the terminology, the judgment calls. We translate that into architecture, interfaces, and data models. Neither side pretends to do the other's job.
The engagement is structured the way all our work is: a fixed-fee discovery sprint first, weekly demos throughout, full IP assignment from day one. Jetstream owns everything we build.
What we built
Two things, in deliberate order.
- A modern digital surface. Jetstream's public presence now matches the caliber of their practice. The web platform presents the firm's services to operators and aircraft owners.
- Data groundwork for operations tooling. Underneath the surface, we laid the schemas, pipelines, and structure that future ops tooling will stand on. The unglamorous part, done first, so the interesting part doesn't get rebuilt later.
That sequencing is intentional. Most platforms fail not at the interface but at the foundation — data modeled wrong on day one, then patched for years. We do the groundwork before the tooling. See how we approach this in platform engineering.
Development and staging run on our managed on-premise infrastructure during the build phase, containerized from day one, with CI/CD ready to promote to cloud at launch. Hosting and release configuration form part of the delivery work.
Working with domain experts
Aviation is not a domain you fake. Neither is banking, logistics, or healthcare. We don't pretend to be aviation experts, and we don't expect Jetstream to review pull requests.
The collaboration model that makes this work:
- Weekly demos, not status reports. Jetstream sees working software every week and corrects course against reality, not documents.
- Their vocabulary, our schemas. The data model uses the field's own concepts. When domain experts recognize their world in the system, they catch errors engineers never would.
- Senior engineers only. Project discussions connect the client's domain experts with the engineers responsible for implementation.
- Aura OS underneath. Our internal AI operating system — agentic delivery pipelines, institutional memory — captures domain context as we learn it, so knowledge compounds across the engagement instead of living in one engineer's head.
The pattern for your industry
Swap "aviation" for your field and the model holds. If you run a specialist practice — advisory, brokerage, inspection, compliance — you likely have deep expertise and a digital presence that undersells it, with operations running on spreadsheets and inboxes.
The pattern: a credible digital surface first, data groundwork beneath it, then operations tooling built on foundations that were designed for it. You bring the field. We bring the stack.
If that describes your practice, talk to us — we reply within one business day.