About Us

We exist to close the gap between data ambition and data reality.

Too many organizations are stuck between two extremes: expensive consulting engagements that produce beautiful roadmaps but no working systems, or tactical build efforts that deliver code without strategic direction. We believe the future belongs to teams that can do both—think architecturally and deliver relentlessly.

Our mission is to help clients build data and AI capabilities that actually work: systems that scale, models that perform, platforms that evolve, and teams that own what they build.

We Build, Not Just Advise

We're engineers and architects first. Every recommendation we make is something we're prepared to implement ourselves. You won't get generic best practices—you'll get solutions designed for your specific constraints, your data, and your organization.

Senior Practitioners, Not Junior Teams

When you work with Yozetta, you work directly with experienced professionals who have built these systems before. No bait-and-switch. No junior analysts learning on your dime. Just focused expertise applied to your toughest challenges.

Architecture to Execution

We think strategically and act tactically. We'll help you define the right data architecture, then stay to build it. We'll design your AI roadmap, then deploy the first models. Strategy without execution is just theory. Execution without strategy is just chaos. We deliver both.

Boutique Focus, Enterprise Scale

We're deliberately small. That means we're selective about the projects we take on, and we only engage where we can deliver meaningful impact. But small doesn't mean limited—our team has deployed solutions processing billions of events, managing petabytes of data, and serving millions of users.

Outcome-Oriented Partnership

We don't optimize for billable hours. We optimize for business results. That might mean a six-week intensive engagement that solves the problem, or a multi-year embedded partnership that transforms your capabilities. What matters is what you can do differently when we're done.

We work differently than traditional firms. Here's how:

Start with Business Value

Every engagement begins with a simple question: what business outcome are we driving? Faster decisions? Lower costs? New revenue? Better risk management? We anchor every technical decision to a measurable business result.

Hands-On Delivery

We write code. We design schemas. We configure pipelines. We train models. We're not observers—we're builders who work directly in your environment alongside your team.

Modern Stack, Practical Choices

We're platform-agnostic and tool-pragmatic. Whether you're on AWS, Azure, GCP, or multi-cloud, we'll use what makes sense for your requirements and constraints. We stay current with emerging technologies, but we're not chasing hype—we deploy what works.

Knowledge Transfer Built In

We're not building a dependency—we're building your capability. Every engagement includes direct collaboration with your team, documentation that actually helps, and the kind of knowledge transfer that lets you own and evolve the solution long after we've moved on.

Fast Iteration, Real Feedback

We work in tight cycles. Build something, test it with real data, learn what works, refine. You'll see progress in weeks, not quarters. And you'll have working systems to validate against, not theoretical models to debate.

We bring deep experience across the full spectrum of modern data and AI:

Data Strategy & Architecture

Enterprise data platforms, cloud migration strategies, modern data stack design, platform consolidation, cost optimization, technical roadmaps

Data Engineering

ETL/ELT pipelines, real-time streaming, batch processing, data lakes and lakehouses, data mesh architectures, DataOps and automation

AI & Machine Learning

Predictive models, recommendation systems, computer vision, NLP, time series forecasting, MLOps, model monitoring and governance

Agentic AI & LLM Systems

Retrieval-augmented generation (RAG), LLM orchestration, agent frameworks, prompt engineering, production LLM deployment, evaluation and testing

Cloud Platforms

AWS, Azure, GCP—multi-cloud architecture, FinOps, infrastructure as code, containerization, serverless, Kubernetes

Governance & Modernization

Data quality frameworks, metadata management, lineage and cataloging, compliance automation, legacy modernization, technical debt reduction

We partner with organizations across sectors where data and AI create competitive advantage:

Financial Services

Risk analytics, fraud detection, customer intelligence, regulatory reporting, trading systems, portfolio optimization

Insurance

Claims automation, underwriting models, pricing optimization, loss prediction, customer retention, operational efficiency

Automotive

Connected vehicle data, predictive maintenance, supply chain optimization, manufacturing analytics, dealer performance

Retail & E-Commerce

Demand forecasting, personalization engines, inventory optimization, customer analytics, pricing strategy

Government & Public Sector

Citizen services, fraud detection, operational efficiency, data modernization, open data initiatives

Healthcare & Life Sciences

Clinical analytics, operational intelligence, research data platforms, patient outcomes, regulatory compliance

Our industry focus isn't about vertical specialization—it's about understanding the problems that matter: regulatory complexity, operational scale, legacy constraints, and the urgency of transformation.

Data and AI are no longer future priorities—they're present requirements. Organizations that can't turn data into decisions, models into products, and platforms into competitive advantages are falling behind.

But success doesn't come from having a data strategy. It comes from executing one.

We founded Yozetta because we saw too many talented teams stuck between expensive advisors who couldn't build and tactical implementers who couldn't think strategically. We saw organizations wasting years on proof-of-concepts that never made it to production. We saw brilliant ideas dying in PowerPoint.

The gap wasn't in vision. It was in execution. And that's what we're here to fix.

If you're facing a data challenge that matters—whether it's modernizing a legacy platform, deploying production AI, or building a capability from scratch—we should talk.

We don't work with everyone. We're selective about engagements because we believe in doing fewer things exceptionally well. But if your problem is interesting, your ambition is real, and you're committed to execution, we'd welcome the conversation.