Dstillery offers an AI‑driven platform that ingests first‑party data, brand keywords, and contextual cues to create privacy‑compliant, ID‑free programmatic audiences refreshed every 24 hours. The unified model activates these audiences across DSPs, SSPs, and CTV through a single API and includes an LLM‑powered brief assistant that automatically generates audience recommendations.
Funding
$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NFounders
Product
Problem
Advertisers face fragmented data sources and privacy‑driven restrictions that make it difficult to build accurate, up‑to‑date programmatic audiences. Traditional targeting models often rely on static segments or cookie‑based identifiers, leading to sub‑optimal reach and wasted spend. Maintaining relevance across multiple channels (display, video, CTV, etc.) adds further complexity.
Solution
Dstillery leverages a multimodal artificial‑intelligence engine that ingests any signal—first‑party data, brand keywords, audience briefs, or contextual cues—and converts it into high‑performing programmatic audiences. The platform continuously refreshes these segments every 24 hours, ensuring that targeting reflects the latest consumer behavior. Its ID‑free® technology predicts browsing patterns without cookies, delivering privacy‑compliant scale for behavioral targeting. Audiences can be activated across all programmatic channels, including DSPs, SSPs, and CTV inventories, via a single, unified model. An integrated Audience Brief Genius tool, powered by large‑language‑model APIs, automates brief translation into curated audience recommendations, accelerating campaign setup.
Target Audience
The primary customers are brand marketers and media agencies that run programmatic campaigns across display, video, and connected‑TV, as well as in‑house media buying teams seeking privacy‑compliant, data‑driven audience solutions.
Features
- Multimodal AI pipeline that normalizes heterogeneous data sources (first‑party, keyword, contextual) into a unified audience representation
- Daily automated refresh of audience segments to capture real‑time consumer signals
- ID‑free® behavioral targeting that predicts next‑site visits using pattern‑based modeling, eliminating reliance on cookies or device IDs
- Cross‑channel activation framework supporting DSP, SSP, CTV, and custom bidding algorithms through a single API endpoint
- Audience Brief Genius assistant, built on large‑language‑model technology, that parses marketing briefs and generates ranked audience suggestions in seconds
- Granular control over segment attributes (demographic, geographic, interest, look‑alike) with customizable weighting and exclusion rules
- Built‑in privacy safeguards and compliance reporting aligned with GDPR, CCPA, and industry‑standard consent frameworks
- Scalable cloud architecture that handles high‑volume audience generation for enterprise‑scale campaigns