We understand people
Most high-stakes people decisions are made on incomplete or proxy data. Zip codes instead of context. Job titles instead of potential. We built Human-Context Data Infrastructure to capture what's missing — first proven at scale for US State Department and European Commission programs, now applied to wherever people decisions actually matter.
Starting with Precision Matching
Our flagship application transforms how enterprises and organizations match people to opportunities—whether that's customers to products, candidates to roles, or individuals to services. We understand the complete person to deliver optimal outcomes for entire populations, not just individual matches.
A New Standard for People Intelligence
Generic AI gives simple answers to complex human challenges. Our people intelligence infrastructure is fundamentally different—built to handle real-world complexity and improve with every deployment.
Handle Complex, High-Stakes Decisions
Current systems break when faced with complex decisions about people. Our infrastructure is built for the high-stakes decisions that matter most, and optimizes outcomes for entire populations, not just individuals. We've achieved near-100% resource utilization in our most demanding government deployments.
Enterprise-Ready Transparency
Black-box AI creates risk. We provide fully explainable, auditable intelligence where every recommendation can be traced and governed by your team. No more hoping AI got it right.
Systematic Improvement
Unlike static tools, our system captures real-world feedback to enhance future decisions. Each deployment makes your people intelligence and decisions more accurate and valuable.
How It Works
Our infrastructure transforms scattered people data into your most valuable asset: complete, actionable intelligence.
Secure Ingestion: We securely integrate your existing people data—scattered across systems—with structured human-context data, while meeting GDPR and government-level compliance standards.
Proprietary Enrichment:
PhD-designed frameworks capture human-context data (goals, circumstances, potential) that traditional data sources miss—across languages, cultures, and populations.
Generate Intelligence:
Generate explainable, validated decision intelligence that becomes your single source of truth for high-stakes people decisions.
Continuous Feedback:
We systematically measure outcomes to improve future decisions, creating a continuous learning loop that increases accuracy and drives better results across your organization.
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.
Real-World Proven Credibility
We built our infrastructure in demanding and complex decision environments before bringing it to enterprise.
Government Proven
Trusted by U.S. State Department & EU Commission.
98% Expert Agreement Rate
Algorithms align with human-expert consensus.
97% Match Trust
Positive "fit rating" reported across matched pairs.
91% Retention Rate
Matched individuals remain engaged vs. 20–40% typical attrition.
Trusted By
The Team Behind the Infrastructure
Building people intelligence infrastructure requires more than data—it requires deep understanding of human complexity. Our team combines proven enterprise-grade systems experience with PhD-level expertise in human behavior. We've refined our approach in complex decision environments and now partner with global leaders to deliver transparent, high-performing people intelligence systems.
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, focusing on how behaviour and context shape real-world decision-making. He applies behavioural-science insights across Pairity’s data and decision models, helping design algorithms that more accurately reflect human goals, preferences, and constraints.
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.
Ready to Transform Your People Decisions?
info@pairity.ca