Data Love’s 2025 Year in Review: The Future of Impact Reporting
It was a year of redefining what impact reporting can look like for mission-driven organizations. As we kick off 2026, I wanted to take a moment to share what 2025 made possible for Data Love—and what’s ahead.
It was a year of deeper learning, real partnerships, and meaningful momentum toward our mission: building the future of mission-driven reporting.
From “Interested” to “In Motion”
The biggest shift in 2025? We stopped just talking about partnerships and started building with real operators.
We signed a Data Sharing Agreement with Plentiful and launched paid pilots in key target markets. That partnership led to something bigger: Plentiful was approved as an awardee in NJEDA’s Food Equity and Economic Development in New Jersey (FEED NJ) grant program, and Data Love is a named partner on the application.
What that means in practice: we’ll be deploying our human-centric, AI-powered product to power Plentiful Insights—decision-ready intelligence, a pilot Food Security Index, and scenario modeling to help anticipate service gaps before they become crises.

Showing Up Across Colorado’s Startup Ecosystem
2025 was also a year of stepping into rooms, learning in public, and building real community.
A few highlights:
Denver Startup Week + Access Mode: We wrote about what made Access Mode’s Women’s Speed Coaching so powerful—practical mentorship, systems thinking, and values-aligned community.
DenAI Summit: Data Love was selected for the AI Showcase at the 2nd Annual DenAI Summit, alongside a small cohort of showcased startups.
Limelight Pitch Competition: Data Love won the Access Mode Limelight Pitch Competition, and I was later recognized as Entrepreneur of the Year.
Those moments matter — not for the awards themselves, but because they put us in rooms where the right conversations happen.
The Work: Policy, Precision, and Why It Matters
Some of our most-read content in 2025 sat at the intersection of food security and federal policy uncertainty.
Food insecurity needs neighborhood-level precision. We published our approach to mapping hunger beyond broad averages because resource allocation happens locally, and inequity hides in aggregates.
SNAP instability is not theoretical. We outlined the potential “SNAP shutdown” cascade—and why operational readiness and data visibility matter for continuity of services.
Budget policy can become a health crisis fast. In a recent article, Data Love broke down how continuing resolutions and cuts ripple through Medicaid, safety-net providers, and public health capacity. If you only have time to read one thing, start there… it frames so much of what we’re building next.
From Budget Cuts to Health Crisis
How fiscal decisions ripple through the healthcare system
Federal Funding Reduced or Delayed
Continuing resolutions and proposed cuts create uncertainty for Medicaid, public health agencies, and safety-net providers operating on thin margins.
Providers Cut Services or Close
Rural hospitals, community health centers, and safety-net clinics reduce staffing, specialty services, or shut down entirely — especially in underserved regions.
Access Shrinks, Costs Rise
Fewer providers mean longer waits and more travel. Lost ACA subsidies and coverage gaps push costs onto individuals already struggling to afford care.
Health Outcomes Worsen
Delayed care, untreated chronic conditions, and skipped preventive visits lead to more emergencies, higher mortality, and deeper health disparities.
Building a Product Without Losing Our Heart
2025 marked a real shift for us—from advocacy and services into product. We’re building something now. And we’re doing it without abandoning what got us here.
We shared our evolution into a data tech product company and sharpened our point of view on human-centered AI—what it takes to build trust, not just automation.
What 200+ Leaders Taught Us About Impact Reporting
We completed the Bank of America Breakthrough Lab program and were honored to win Viewer’s Choice at the final startup showcase. That win came with a Product-Market Fit package through Rebel — and we used it to do the work the right way: listening first.
Through hundreds of surveys and interviews with nonprofit and public sector leaders, we kept hearing variations of the same story: “Our data lives everywhere. We can’t get to a single source of truth.” “We don’t need another dashboard—we need to actually use what we have.” And over and over: “If it adds to my team’s workload, we can’t adopt it. Full stop.”
The consistency surprised us. And it’s exactly what shaped our roadmap:
- Data spans metrics and stories, but it’s scattered across systems with no single source of truth.
- Leaders want more than dashboards—they want insights that connect programs and partners.
- Time and capacity are scarce. The solution has to reduce workload, not create more.
- Adoption requires intuitive workflows, clear onboarding, and proof points from peers.
- Data infrastructure is essential, but without a crisp ROI narrative, it’s the hardest thing to fund.
What surprised us wasn’t the pain points themselves. It was how consistent they were—across org size, sector, geography. Everyone’s drowning in disconnected systems. Everyone wants the collective-impact story. Almost no one has the staff time to pull it together.
What’s Next: 2026 Priorities
In 2026, we’re focused on one thing: building a beta that earns trust because it’s grounded in reality.
Here’s what’s planned:
- Go-to-market roadmap execution
- Beta launch planned for Q3 2026
- Expanding pilot partners and design partners (nonprofits, agencies, and funders)
If your organization wants to reduce reporting burden, improve audit-ready data quality, or generate clearer impact narratives for stakeholders, we’d love to talk about becoming a beta or design partner.
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We started this company because we believe communities deserve better than guesswork. And the organizations serving them deserve better than spreadsheets held together by heroics.
Data Love is more than software. It’s infrastructure for a public sector that can actually respond—in real time, with real evidence, for real people.
That’s what we’re building. Thankful you’re here for it.
With gratitude (and data love)!



