About Praxail

An AI consultancy built by engineers who know when to advise, when to build, and when to leave AI out.

We help small and medium sized businesses understand where AI will create measurable leverage. That means workflow audits, staff interviews, technical roadmaps, practical implementation, and enough governance for business owners to stay in control.

Praxail was founded by engineers, and that's still what drives it. The team comes from biomedical engineering, enterprise financial software, cloud infrastructure, and IoT systems. These are backgrounds where the expectation was always that things work correctly, reliably, and without hand-holding.

Deniss, the founder, spent years writing software for cryogenic systems and medical hardware before moving into the commercial world. What he found there was a pattern the whole team recognised: business owners knew AI mattered, but they did not always know which workflows deserved investment. Invoice matching and exception handling. Reports generated manually from data already sitting in a system. Email-based approval chains with no audit trail. Client follow-ups tracked in someone's inbox. The value was not in adding AI everywhere. The value was in knowing where it would actually change the economics of the business.

The rest of the team comes from different places. Product managers who built treasury and financial workflow systems for enterprise clients. Engineers who shipped across healthcare tech, e-commerce, and cloud infrastructure. Operators who know what recovered time actually means commercially. Between them, the team brings more than 20 years of building software and products across a dozen industries and countless countries. That operating experience shapes the consultancy: practical diagnosis, technical judgement, and a bias toward systems that can survive production.

That's what Praxail does: audits where work breaks down, interviews the people closest to the process, ranks the AI opportunities by ROI and risk, then implements the systems worth building. Not a demo. Not a proof of concept handed off to an internal team. A working system that earns its place in how the business operates.

The Team

Deniss Zerkalijs

Founder & Managing Director

Biomedical engineer by training, with an MSc from Imperial College London. Spent years building production software across cryogenic monitoring and control infrastructure, mental wellness platforms, and IoT cloud architecture. Founded Praxail to apply that systems-engineering discipline to how modern businesses actually operate.

Imperial College London
Neurotechnology
Full-Stack Engineering
IoT & Cloud
linkedin.com/in/dz30

The Team

The Praxail team consists of engineers, product managers, and operators who have worked deep inside financial software, cloud infrastructure, healthcare technology, and e-commerce. They bring consulting judgement through operating experience: shipped systems, real constraints, adoption pressure, and the consequences of technical choices.

Everyone who touches your project has built something real before it.

Domains across the team

Biomedical Engineering
Neurotechnology
Financial Software
Treasury Systems
B2B Product Management
Cloud Infrastructure
IoT & Embedded Systems
Healthcare Technology
E-Commerce
Mental Health Tech
Growth & Acquisition

What we stand for

We're not here to sell you on AI. We're here to make sure it earns its place in your business.

Diagnosis before build

We start by understanding work as it happens today. If a workflow does not justify AI, we say so before anyone pays to build it.

Precision over hype

AI is a tool. We care about outcomes, trade-offs and evidence. You'll hear exactly what works, what does not, and why.

Fits your operating model

We design around your team, data, tools, and decision rights. Platform choice follows the business case, not the other way around.

You stay in control

Every system needs owners, guardrails, auditability, and clear handoff points. AI should strengthen accountability, not hide it.

Let's connect

If you are weighing an AI audit or wondering whether a workflow is worth improving, the first conversation is a practical place to start.