team of 100+ · clients 1-50 to 5,001+ people · Toronto + New York
Lazer Technologies is a product development firm with more than 100 senior engineers, designers and product managers. It embeds engineering pods with startups and large enterprises to take AI systems from prototype to production. Clients listed on its site include Google, Coinbase, Shopify and Hinge. Team of 100+. Embedded engineering pods, full-stack AI builds, data infrastructure and AI readiness assessments.
Business users across finance, marketing, and operations at a Fortune 500 consumer goods company could not get answers from their own data without filing tickets and.
A precision longevity institute targeting high-net-worth patients faced a constraint that broke every conventional AI architecture: a national data-residency law forbids.
One of the world's most active venture capital firms runs on institutional context: who the team has met, what was learned, and how it connects across a global portfolio.
The venture studio of a major North American pension plan (hundreds of billions in assets under management) was evaluating an insurance-focused venture whose viability.
One of Latin America's largest education technology companies had grown through rapid M&A, leaving engineering practices fragmented across multiple codebases.
One of the world's largest dating platforms, home to one of the industry's most respected data science teams, faced a high-volume support cost center and an open.
At one of Canada's largest retailers, the packaging function sits at the intersection of Brand, Product Development, and Merchandising: a workflow with enormous.
A leading global health and wellness brand had no meaningful AI tool adoption across its engineering organization.
A software platform that helps municipalities manage properties in tax arrears was running its entire operation on a legacy Microsoft Access dashboard its new.
Brand teams at a multinational consumer health company, whose household-name hygiene, health, and nutrition products sell in more than 60 countries, could not get.
A venture capital fund running 20–30 company evaluations per week was drowning in fragmented deal intelligence, transcripts, emails, investment memos, and external.
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