Overview
Hilbert provides an AI-powered growth platform for B2C businesses that turns fragmented data from teams like retail, inventory, and ecommerce into actionable guidance. It connects diverse data sources, uses deep learning and a proprietary AI/ML stack to organize data for models, and offers a no-code, natural language interface to ask questions. The Hilbert Label collects all data about a single customer, including predictive insights such as churn risk and upsell potential, and updates this label as new data arrives; the system also flags marketing inefficiencies and forecasts metrics like customer growth. Its goal is to translate insights into measurable actions with estimated revenue impact, helping large B2C brands shorten decision cycles and accelerate growth while expanding through venture funding and experienced operators.
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Simplify's take
What believers are saying
- Axios reported Walmart, FreshDirect, Blank Street, and Levain as customers on April 15, 2026.
- Hilbert's April 2026 Series A raised $28 million for expansion and hiring.
- Indeed and Ashby postings in April 2026 show active GTM and engineering hiring.
What critics are saying
- Hilbert faces heavyweight competition from Databricks, Snowflake, and Amplitude by 2026.
- Enterprise sales cycles and $100K-plus monthly contracts expose 2026 revenue concentration risk.
- A single retailer data-security breach would destroy trust and freeze enterprise expansion.
What makes Hilbert unique
- Nazli Tan and Ceyda Erten built growth systems at Getir before founding Hilbert.
- Hilbert's April 2026 a16z-backed Series A validated its B2C analytics wedge.
- Its Hilbert Label turns fragmented customer data into continuously updated action files.
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