Practical AI and data systems that move from strategy to production
At Narona Data, we have a relentless passion and focus on data platforms, data development experience and data optimization. We don't just want to deliver a solution that works, we want your data team to be the most productive it can be.
We have extensive experience with setting up data solutions for companies big and small, for large and small budgets, for highly sophisticated and simple projects. We have delivered on dozens of value generating and cost-saving projects across varying industries.
If your company uses AI, it needs robust AI infrastructure. Architecting a system that fits your specific use case is complex, but Narona Data's experience helps cut through that complexity to deliver reliable, scalable solutions. We've built systems for rapidly growing startups and scaleups with strict performance, security, and compliance requirements.
As your organization scales, so does the need to automate repetitive and time-consuming work. We help you move beyond manual workflows by building AI-driven automation pipelines that integrate seamlessly across your tools and systems. From intelligent data processing to workflow orchestration, our solutions free up your team to focus on high-value problems.
As your AI operations expand, so do your costs. Most teams eventually face the challenge of managing and reducing compute, training, and inference expenses. Our experts at Narona Data provide instant observability and actionable insights into your AI spend, helping you optimize performance and cost without sacrificing innovation.
Looking for real experiences with our AI consulting services? You're in the right place. Our testimonials page features reviews and recommendations from clients who have seen the benefits of working with us firsthand.
“We have set out to bring whole genome sequencing, clinical-grade insights to patients on an ambitious 1 year timeline. Working with Tony from Narona Data, we quickly iterated on our clinical assay. Narona Data has been instrumental in setting up infrastructure on AWS and snowflake to service highly automated and large-scale data processing. They quickly built many software components that otherwise would require multiple internal teams and significantly more time to complete. LIMS, bioinformatic workflows, HIPPA compliance, software security, data infrastructure - you name it, they build it!”
“To push the boundaries of turnaround time, sensitivity and specificity of gene panels and 16S based assays required truly interdisciplinary efforts. Narona Data was able to provide key support on several development bottlenecks. They quickly set up sequencing pipelines on the Nanopore sequencing platform and were able to significantly guide molecular assay designs and validations through large scale in Silico simulations and application of machine learning.”
“We hired Narona Data for a research and development project for Nanopore sequencing. They built an automated bioinformatics pipeline from scratch that matched our needs and our timelines. Their dedication was so impressive that we asked them to work on several additional projects that required different methods, including different read lengths, ultra-multiplexed experiments, and in silico simulations. They quickly adapted to these new projects and worked on them in tandem. They became an integral part of the team, working closely with the molecular lab scientists to push forward new ideas and experiments based on the data. We could not have met our project goals without them.”
We are passionate about bringing the latest and greatest innovations from the software, data and AI field into leading organizations across industries.
At Narona Data, we believe AI should move at the speed of business — not the other way around. Our work is driven by a relentless focus on speed, scalability, and measurable business value.
We've helped companies at every stage — from early startups to billion-dollar ARR scaleups — unlock breakneck growth through AI systems that actually deliver. Our teams design infrastructure that scales seamlessly, accelerates experimentation, and shortens the path from idea to impact.
While others chase complexity, we streamline. We build lean, powerful AI and data systems that cut through technical overhead and deliver cost efficiency without compromise. Whether it's driving hypergrowth through automation or optimizing cloud and compute costs at scale, our mission is simple: make AI a direct engine for revenue and performance.
Narona Data stands for speed, clarity, and tangible outcomes — helping organizations move faster, scale smarter, and grow sustainably through AI.
Common questions about working with Narona Data.
We specialize in healthcare, diagnostics, technology, and financial services. Our team has deep domain expertise in HIPAA/HITECH compliance, cloud infrastructure, and data platform engineering.
Most engagements range from 4-12 weeks depending on scope. We start with a complimentary consultation to understand your needs, then provide a detailed timeline and scope document before beginning work.
Both. We frequently integrate with existing data warehouses, BI tools, and cloud infrastructure. We also design and build greenfield data platforms when needed. Our approach is always to maximize the value of what you already have.
We build automated governance frameworks that enforce compliance programmatically. This includes attribute-based access control, automated audit logging, dynamic data masking, and real-time policy monitoring. Manual governance doesn't scale — automation does.
Absolutely. We've helped multiple clients migrate from managed services like dbt Cloud to open-source alternatives, saving $100k+ annually while maintaining full functionality. We assess your current stack, plan the migration, and execute with zero downtime.
We define success metrics upfront with every client. These typically include cost reduction percentages, processing time improvements, automation coverage, and user adoption rates. We report on these throughout the engagement.
A practical podcast from Tony and Juan about AI-native data work: agents, analytics engineering, semantic layers, governance, careers, consulting, and turning data teams into business value.
A practical conversation on analytics agents, context engineering, semantic layers, and how data teams can use AI agents without creating an agent cemetery.
Thomas in ’t Veld, CEO and co-founder of Tasman Analytics, joins Tony and Juan to discuss why companies should build lean, AI-native data teams instead of relying on a single data superstar.
Noel Gomez, co-founder of DataCoves, breaks down what it takes to turn dbt, Airflow, Snowflake, and open-source tooling into a platform teams can actually run at scale.
Kingsley Hall joins Tony and Juan to unpack how AI is changing sales, cybersecurity, and the future of work — and why durable expertise still has to stay deeply human.
Thoughts on data engineering, governance, and building data-driven organizations.
Read the BlogReady to unlock the value of your data? Let's start a conversation.
