Data observability with predictable pricing.
We built Sparvi for the gap between Great Expectations and Monte Carlo: data teams running cloud warehouses who need real continuous observability without enterprise pricing or enterprise complexity.
Our Story
The founders spent years running data inside growing companies. We watched teams spend tens of thousands per year on enterprise observability tools they couldn't fully use, or piece together open-source rigs that consumed an engineer per quarter. Sparvi is the tool we wished existed: real observability, one flat price, every user included.
The Problem
Data quality issues discovered too late, with no context for quick resolution
The Insight
Teams need collaborative workflows, not just monitoring alerts
The Solution
Collaborative data observability built for growing teams
Built by people who ran data at growing companies.
We've spent years inside data teams stuck in the awkward middle, enterprise observability tools are over-engineered and over-priced, but you can't get by with build-time-only checks anymore.
Sparvi is the product we wanted: real continuous monitoring, predictable flat pricing, every user on the team included.
Technical Leadership
Analytics Engineering & Data Infrastructure
Over 10 years of experience building data systems and products across healthcare technology and other industries. Deep expertise in analytics engineering, product development, and data infrastructure, with firsthand experience of the data quality challenges Sparvi addresses: broken pipelines discovered only after business impact, growing teams stuck between enterprise tools they cannot afford and open-source rigs that consume an engineer per quarter.
Business Strategy
Operations & Growth Leadership
MBA in Strategy and Leadership with over 8 years of experience in project management, small-business consulting, and operational finance. Proven track record helping organizations scale with clarity and discipline. Extensive consulting experience with SMBs across manufacturing, healthcare, and technology, building project management frameworks, financial models, and governance systems that improve efficiency and strengthen decision-making.
Our Mission
To make data observability honest, predictable, and accessible. One flat price, every user included, real production monitoring. So data teams can trust their numbers and stop firefighting the same broken pipeline every quarter.
Our Values
The principles that guide how we build Sparvi
Honest & Transparent
We build trust through honest communication about capabilities, timelines, and challenges.
Built for Real Teams
We design for actual workflows and constraints of growing teams, not theoretical use cases.
Collaborative by Default
Data quality is a team sport. Everything we build supports collaboration, not just individual productivity.
Accessible Excellence
Enterprise-quality capabilities without enterprise complexity or cost.
Customer-Driven
Our roadmap is shaped by real customer needs, not feature checklists.
Sustainable Growth
We build for long-term relationships and sustainable business practices.
Want to Learn More?
We'd love to hear about your data quality challenges and discuss how Sparvi might help your team.