About Matilda

Matilda is an early-stage company working with school districts, charter networks, and school administrative teams on the operational work that keeps a school running — student data, budgeting, master scheduling, evaluations, and the paperwork underneath all of it.

We’re building toward an edtech company, and we decided to do the work before building the tools. Rather than guess at what school operations teams need, we’re spending this summer embedded with them — learning the realities of K‑12 operations from the inside, and delivering something useful while we’re there.

That shapes how we engage. We partner with a team for four to eight weeks, pick one or more high-priority workflows together, and work toward a concrete deliverable — a cleaned-up data process, a dashboard, an internal tool, an SOP, an integration, or a document workflow. We work on whatever your team is comfortable with. The goal is to augment, not distract. See the areas we work in.

Who we are

Veronica Edwards

BA Sociology, Princeton University

Veronica has 9 years in K-12 EdTech across data, analytics, and operations. She was the founding data hire at ReadWorks, a K-12 literacy nonprofit used in classrooms nationwide, and Polygence, which pairs high schoolers with research mentors.

Built each company’s analytics function from scratch: BI infrastructure, merging fragmented data, and turning it into a story leadership could act on

Balanced budgets and stretched every dollar to turn Polygence from cash-burning to profitable in three months while owning the financial model and quarterly planning

As Chief of Staff to the CEO, scaled Polygence revenue from $1M to $10M

Co-led a 2022 NYU Stern study with ReadWorks on how the pandemic widened performance gaps between high- and low-poverty students

Helped bring ReadWorks onto Clever, opening access to the thousands of schools that use it

Danny Hsu

BA Computer Science, UC Berkeley

Danny has a decade of hands-on experience building and scaling both companies and AI infrastructure. He co-founded a venture backed AI real estate brokerage and processed $20M of transaction volume in year 1. Prior, he led an engineering team of 20 at LinkedIn in transforming foundational data and applications infrastructure for products including LinkedIn Messaging, Sales Navigator, and Recruiter.

Embedded in a $250M+ revenue govtech company as a consultant to bootstrap their AI organization and lead architecture for their first user-facing AI agent product

Orchestrated a marketing campaign for an agentic coding startup that 3x’d their monthly revenue

Built an end-to-end enterprise-scale data analytics platform from scratch as a founder and data engineer. Twice.

As an engineering lead, secured a 100 million user consumer application for GDPR and a government data platform for HIPAA, FedRAMP, and CJIS.

Want to talk?

We’d love to hear about what your team is working on and where we might be able to help.

Get in touch