Attest is a consumer insights platform built on AI and validated survey data, serving B2C brands that need market intelligence at speed. The tech stack reveals a company in transition: heavy investment in AI/ML tooling (Vertex AI, Langflow, n8n, dbt, Kafka) paired with workflow automation (Zapier, Retool) and business intelligence (Looker, Lightdash), while pain points explicitly cite 'transitioning from cloud-native to ai-native'—indicating a strategic pivot away from traditional analytics toward AI-driven insights. Sales-heavy hiring (6 of 13 recent roles) with senior-skewed seniority mix signals growth-stage go-to-market scaling.
Attest helps global B2C brands make faster, more confident decisions by combining AI-generated insights with human-validated survey responses and expert analysis. The platform serves teams in brand intelligence, competitor intelligence, innovation, and NPS tracking. Based in London with 51–200 employees, the company is actively scaling sales and product capacity across UK and US markets. Core challenges center on scaling the go-to-market engine, optimizing lead qualification, and completing the shift to an AI-native product architecture.
Attest uses Google Cloud Vertex AI, Langflow, Python, and Kafka for AI and data processing, combined with dbt and Looker for analytics and Salesforce + Pardot for go-to-market operations.
Attest is transitioning to an AI-native platform, implementing automation, improving pre-sales processes, building a POC framework, and scaling customer acquisition and lead qualification systems.
Attest'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.