AI-driven consumer research platform for B2C brand insights teams
Attest runs a consumer research platform for B2C brands on a polyglot stack (Java, Python, Go, TypeScript/Vue) over Kafka, PostgreSQL and Kubernetes across AWS and GCP, with a dbt, Dagster and Redshift data layer. Job posts point to a QA function being built from scratch, with automation and AI tooling wired into the quality pipeline. Support-side pain around low platform adoption and churn risk shows retention is a live priority alongside the AI work.
Attest is a London-based market research company founded in 2015 that sells a consumer insights platform to B2C brands. Its focus areas include brand, market, competitor and consumer intelligence, plus NPS tracking. The company is privately held and employs 51–200 people. It currently hires across engineering, marketing and support, mainly at senior level, in the United Kingdom and Canada. Go-to-market runs on Salesforce, Pardot and Gong.
Attest uses Java, Python, Go, TypeScript and Vue, with Kafka, PostgreSQL and Kubernetes on AWS and GCP. Data tooling includes dbt, Dagster, Redshift, Looker and Lightdash, with Vertex AI and LangFlow for AI.
Yes. Hiring is accelerating and weighted toward senior engineering roles, alongside marketing and support, in the United Kingdom and Canada.
Attest is building a test automation layer and quality metrics, adding AI tools to its quality pipeline, integrating Compass AI, and building a streaming responses system.
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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.