Deep Technical Expertise
Engineers who've shipped production AI, not just prompted models. We write the code, design the architecture, and own the trade-offs.
Move beyond experiments and buzzwords. We help businesses implement AI where it truly creates value — streamlining processes, unlocking insights, and driving measurable growth.
Five disciplines, one operating model: we identify, build, deploy, and hand over AI systems that pay for themselves.
We audit workflows end-to-end to find where AI moves the needle — and just as importantly, where it doesn't. You leave with a ranked, costed roadmap, not a wishlist.
Production-grade systems engineered for your data, your stack, your constraints. From RAG pipelines to vision models — built to integrate, monitored to last.
Autonomous agents that execute multi-step work across your tools. We design the orchestration, the guardrails, and the human-in-the-loop checkpoints that keep them trustworthy.
Workshops, playbooks, and hands-on coaching that turn your team into the operators of the systems we deploy. Capability stays in-house when we leave.
Board-level and exec partnerships on where AI fits in your roadmap, your org design, and your investment thesis. Pragmatic, not performative.
Four reasons clients keep us close after the first engagement.
Engineers who've shipped production AI, not just prompted models. We write the code, design the architecture, and own the trade-offs.
Every model has a P&L attached. We start from the metric you're trying to move and work backwards to the right system.
Discovery, build, deployment, training, handover. One partner across the lifecycle — no awkward seams between strategy and execution.
Patterns transfer. What worked in healthcare integration informs how we approach manufacturing telemetry — and vice versa.
A sample of what good looks like. Industries change; our standard for measurable outcomes doesn't.
Replaced a 14-step manual intake with an LLM-driven triage flow. Clinicians reclaimed full afternoons; data quality climbed measurably in the first month.
Document understanding + agent routing collapsed a multi-day approval chain into hours.
Analyst-grade copilots fed by internal data — auditable, source-traceable, and integrated into existing review tooling.
Sensor signals become actionable alerts before failures cascade. Production teams trust it; finance loves it.
They cut through the AI noise faster than anyone we've worked with. Inside six weeks we had a system in production our team actually trusted.
Pragmatic, technical, and refreshingly skeptical of their own ideas. Every recommendation came with a number attached — and the numbers held up.
We've seen plenty of consultancies pitch AI; Zyroa is the first that left us with capability instead of dependence.
Zyroa was built by technical strategists with a decade of experience shipping software where the cost of getting it wrong is real — hospital systems, factory floors, regulated finance, and the kind of enterprise integrations that don’t make headlines until they break.
That background shapes how we approach AI: with healthy skepticism, rigorous measurement, and a bias toward systems that still work on the worst day of the quarter — not just on demo day.
A 30-minute discovery call is the fastest way to see if there’s a fit. Bring a problem worth solving — we’ll bring an honest read on whether AI is the right tool for it.