Kyra operates a full-stack influencer marketing platform combining creator sourcing, content production, and campaign management with real-time performance tracking. The tech stack—Node.js, React, PostgreSQL, and AWS—supports both self-serve and enterprise workflows, but active hiring skews toward marketing (6 roles) and sales (3), with only 2 engineering posts in the last 30 days. This imbalance against a product roadmap heavy on data infrastructure (measurement layer, data flywheel, health scoring) suggests execution bottlenecks: the company is scaling go-to-market faster than platform maturity, leaving self-serve onboarding, churn reduction, and enterprise-grade measurement as open technical debt.
Kyra is an influencer marketing platform founded in 2017 and based in London. The company delivers end-to-end campaign services—strategy, creator sourcing, content production, campaign management, and performance analytics—powered by AI matching against a database of 1 billion+ creator profiles and 20 million+ videos. The product serves global enterprise brands and mid-market companies, offering both always-on programs and rapid brand activations. Kyra operates with a mixed services-plus-platform model: human-led strategy and content production run alongside self-serve and enterprise SaaS tooling for campaign orchestration and ROI measurement.
Backend: Node.js, Express.js, PostgreSQL, RabbitMQ, BullMQ, Docker, AWS. Frontend: React, TypeScript, Tailwind CSS, React Router, TanStack Query. Operations: HubSpot, Salesforce, Asana, Airtable, Jira, Notion, Confluence.
Self-serve onboarding flows, campaign health scoring, a measurement layer, data flywheel architecture, referral mechanics, and enterprise-ready proposals—indicating a shift from managed services toward platform automation and data-driven insights.
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Kyra's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.