Decision Intelligence
for High-Stakes Outcomes
We build foundational technology for human-centered matching and decision-making - combining proprietary workflows, secure data integration, explainable models, and human expertise to power critical decisions across sectors.
Why Pairity
Durable infrastructure takes more than a generic decision model. Pairity delivers sharper, faster, and more resilient decisions - while improving efficiency and driving growth:
Master high-exception matching workflows that current automated systems can't handle - from individual placements to population-level optimization.
Create human-guided feedback loops that capture nuance in ambiguous environments.
Power the full decision pipeline where others stop short.
Embed with partners to capture critical context and organizational priorities.
Continuously improve with real-world data so decisions become more consistent and efficient - reducing costs and uncovering new opportunities for growth.
Our Approach
Our infrastructure blends secure data integration, explainable models, and human expertise. Every match and decision is optimized for best fit - whether for individuals or across entire populations - while remaining technically sound and contextually meaningful.
Explainable Precision: Decision models that optimize outcomes and can be understood, audited, and trusted.
Holistic Matching: Optimizing outcomes at both individual and population levels for comprehensive solutions.
Human-Centered Design: Prioritizing individual needs, well-being, and preferences at every decision point.
Bias-Aware Decisions: Incorporating contextual insight to reduce bias and ensure fairness.
Resource Optimization: Maximizing the impact of limited resources through intelligent allocation.
Transparent Analytics: Data-driven insights that partners can act on with confidence.
Our Proven End-To-End Solution
From intake to insight, Pairity delivers the infrastructure to connect, standardize, and govern data; collect research-informed insights from people; apply explainable, human-in-the-loop algorithms; and continuously improve through real-world learning.
Gather Context That Matters:
Bring together structured data, research-informed insights, and human feedback to guide decisions.
Secure & Transform:
Connect with existing systems, standardize formats, and apply AI-assisted classification for clean, usable datasets.
Proprietary Matching:
Apply configurable, explainable algorithms built for high-exception, human-centered workflows.
Outcome Monitoring:
Track decisions and impact with analytics, bias detection, and performance metrics.
Iterative Improvement:
Refine approaches based on research-informed feedback and operational insight from the people and contexts you serve.
What We Do
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Pairity streamlines the distribution and placement of people, including vulnerable groups like refugees. Data- and preference-driven matching aligns individuals and households with the most suitable pathways, communities, and services. By accounting for factors including languages, job skills, family needs, and local capacity, our solutions ensure that placements support long-term integration and social cohesion. Governments, NGOs, and international organizations benefit from optimized resource allocation, faster decision-making, and improved outcomes.
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Our solutions help employers, workforce agencies, and governments fill labour gaps by efficiently matching candidates with opportunities that increase their likelihood of employment and retention. Whether addressing skills shortages, overcoming employment barriers for diverse talent pools, or optimizing workforce distribution. Our solutions offer a household-based approach to matching, ensuring that workers are placed in jobs where they can thrive. By automating and refining the matching process, we increase efficiency, lower recruitment costs, and improve retention rates.
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Pairity enables insurers to underwrite emerging and underserved market segments by building defensible, human-aligned risk models where traditional data is absent. We securely ingest fragmented data, combine it with research-informed insights, and apply governed, explainable analytics to align products with genuine policyholder needs - improving precision underwriting, contextual risk modeling, and personalized product development.
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Finding appropriate housing is a critical challenge for individuals, public and private housing programs, and relocation initiatives. Pairity’s solutions optimize matching people with available housing based on affordability, location, accessibility, and community factors. Whether supporting government refugee resettlement programs or organizations that house vulnerable populations, our solution minimizes bottlenecks and ensures sustainable placements.
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Pairity embeds Monitoring, Evaluation, and Learning to measure impact, iterate, and scale. We work with partners to understand existing data, and offer solutions ranging from real-time project monitoring to long-term outcome analysis. Our science based approach , combined with the flexibility of mixed-methods, ensure reliable and actionable insights. We follow strict ethics standards, and mobilize Pairity’s unique tech and data insights to deliver tailored, impactful results. Project lifecycle partnerships help organizations innovate, empower, and grow along with changing social impact environments.
Flexible Partnership, On Your Terms
Pairity can plug into any stage of your decision process - from data preparation to ongoing performance monitoring - or manage the entire workflow end-to-end. We integrate seamlessly with your team and systems, ensuring solutions that fit your goals, resources, and timeline.
Our solution has been used by:
Leading Expertise in Human-Centered Decision Infrastructure
We bring leading expertise in human-centered decision infrastructure - delivering scalable, explainable, and trusted solutions for the world’s most critical matching challenges. Our infrastructure is built to adapt, ensuring lasting impact as needs, data, and technology evolve.
Gotam Bhardwaj
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Gotam is a results-driven technology leader with 20+ years of experience driving innovation and leading high-performing teams in edtech, labor tech, and cybersecurity, with a proven track record of successfully managing large-scale client relationships and driving growth for startups and Fortune 500 companies. In addition to leading Pairity’s overall vision, Gotam helps drive global innovation for vulnerable populations as Advisory Board Member for The Hive, USA for UNHCR's technology and data science innovation lab.
Radboud Reijn
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Rad is a seasoned sales leader with over two decades of experience in public affairs and sales, specializing in building and maintaining strong client relationships. His expertise lies in securing and expanding business opportunities in both B2B and B2G markets. At Pairity, he drives revenue growth, executes strategic sales plans, and spearheads global sales operations.
Evelyn Wainewright
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As VP of Engineering at Pairity, Evelyn leverages her extensive startup background in building robust and secure technology and data infrastructure. With a strong foundation in mathematics including a master’s focused on information security for quantum computers she leads engineering strategy and product development, ensuring technical excellence.
Craig Smith, PhD
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Craig brings a specialist background in policy and governance for complex issues to conceptualize, implement, and monitor Pairity’s impact. His in-depth work with stakeholders at all levels helps identify and navigate key markets and risks, and drive Pairity’s thought leadership.
Laura Celeste, PhD
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Laura leads program effectiveness at Pairity, guiding clients in impactful program design, implementation, and evaluation. With a PhD in social psychology, she collaborates with partners to problem-solve and drive program success, leveraging her expertise in intergroup dynamics and social cohesion.
Camille Kasavan, PhD
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Camille drives program design, implementation, and monitoring, evaluation & learning (MEL) at Pairity. With a PhD in Political Science and nearly a decade of experience in mixed-methods research across development and humanitarian sectors, Camille partners with organizations to design, deploy, and optimize data-driven matching solutions that deliver measurable outcomes at scale.
Salif Jaiteh, PhD
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Salif earned his PhD in Political Science at Columbia University, New York. He conducts a variety of quantitative research in the Political Economy of Development. He helps lead Pairity’s algorithm and data science initiatives.
Ahmed Ezzeldin Mohamed, PhD
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Ahmed earned his PhD in Political Science from Columbia University, New York. His research examines the intersection between politics, economics, and culture with a particular interest in policy-making processes. He helps implement Pairity’s matching systems and provides insights into matching data.
Mike Gagnon
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Mike brings over 15 years of insight from the technology field. Most recently, he spent 7 years as the Controller for Shopify, where he helped lead private financing rounds toward their wildly successful IPO in 2015.
Let’s Build Better Decisions Together.
info@pairity.ca