Animal Shelter Data Intelligence

Smarter decisions for every animal in NYC

ShelterIQ is a data platform purpose-built for large municipal shelter systems โ€” turning raw intake and outcome data into actionable predictions that help more animals find homes.

๐Ÿพ Alpha partner: ACC NYC
Real data โ€” ACC system ยท 2017โ€“2023
Total animals on record
89,865
Across all 5 boroughs
Animals survived
76,205
84.8% live release rate
Annual intake volume (peak years)
Intake sources in dataset
Stray ยท 38k Owner Surrender ยท 33k Agency ยท 8k ACO Impound ยท 7.5k

Turn shelter data into daily decisions

So every animal gets the right care, at the right time, from staff who know exactly what to do next.


๐Ÿง‘โ€โš•๏ธ FRONTLINE STAFF
"Here's what to do today"
Which animals need attention, fosters due back, medical flags
๐Ÿ“Š LEADERSHIP
Monthly strategic outputs
Intake trends, outcome rates, resource gaps
ACC is our alpha. A multi-tenant platform for every shelter system is the vision.
89,865
Animal records across all five NYC borough shelters since 2017
5
Shelters: Brooklyn, Manhattan, Bronx, Queens, Staten Island
84.8%
Live release rate โ€” 76,205 animals survived across all shelters
2,422
Animals fostered โ€” and growing, with 1,455 active foster families in NYC

What ShelterIQ builds

AI-powered tools purpose-built for municipal shelter systems โ€” from predictive risk scoring to real-time leadership dashboards.

Live demos ยท ACC NYC data
Platform capabilities

Unified shelter database

A borough-indexed, animal-level data architecture connecting intake, outcome, behavior, medical, foster, and community records across all five shelters โ€” the single source of truth.

Infrastructure

Predictive models

Intake forecasting per shelter, surrender risk scoring, length-of-stay prediction with cross-shelter transfer optimization, and foster conversion models โ€” built with production-grade pipelines.

ML / AI

Real-time dashboards

Live, per-shelter views replacing static reports โ€” tracking intake, placement rates, capacity, and community program effectiveness in a format non-technical staff can act on immediately.

Dashboards

Multi-tenant SaaS platform

Every architectural decision is made with portability in mind. The schema, pipelines, and dashboards built for ACC form the core of a scalable product for municipal shelter systems nationwide.

Scale

Staff-facing decision tools

Model outputs translated into plain-English recommendations. Which animals are at risk? Where should transfers go? What drives foster conversion? Answers staff can use โ€” without needing a data background.

UX

Population dynamics modeling

Simulation tools that model shelter population over time โ€” letting leadership stress-test policies, plan for intake spikes, and measure the systemic impact of community programs before rolling them out.

Research

Built by people who care about impact

A lean, experienced founding team combining deep data science expertise, healthcare strategy, and applied machine learning.

Roy Berggren
Roy Berggren
Founder & Strategy Lead

Former Senior Partner and Global Life Sciences Practice Leader at McKinsey & Company. Roy brings decades of experience advising large healthcare systems, biopharma companies, and multi-site organizations on data strategy, R&D, and operational transformation. He is a board member at ACC and the connective tissue between ShelterIQ and its alpha partner.

Healthcare strategy Consulting Life sciences Population health
Claudio Flores
Claudio Flores
Data Scientist & Software Engineer

Data Scientist with a track record of extracting actionable insights from complex healthcare datasets at AllazoHealth, and applied analytics experience at Raymour & Flanigan. Trained at Columbia University with a Business Analytics concentration, Claudio brings rigorous modeling skills โ€” from time-series forecasting to survival analysis โ€” paired with a strong sense for communicating results to non-technical stakeholders.

Machine learning Healthcare data Python Revenue optimization

Starting with listening

We don't assume we know the problems. We're visiting ACC to understand what staff actually face โ€” and then we build.

01
Discovery at ACC

We're visiting ACC shelters across the five boroughs to interview staff, understand day-to-day workflows, and map the real pain points that data could address.

In progress
02
Build the foundation

Design and implement a unified shelter database, establishing data pipelines that connect all five boroughs and serve as the foundation for every model downstream.

Coming next
03
Predict, then scale

Deploy intake forecasting, transfer optimization, and foster conversion models at ACC โ€” then validate the platform with other large municipal shelter systems nationwide.

The vision

We'd love to connect

Whether you're part of the ACC team, another shelter system, or a potential collaborator โ€” reach out. We're in discovery mode and we want to learn.

mona.hatami@shelteriq.org
Currently visiting Animal Care Centers of NYC โ€” We're meeting with shelter staff across all five boroughs to understand operational pain points. If you work at ACC and want to share your perspective, we'd especially love to hear from you.