Our Solution

PromptBid is the real-time ad exchange for AI applications. We're building the infrastructure that connects AI app builders with advertisers, using formats designed for conversation and powered by sophisticated auction mechanics.

Core Features

2 Ad Formats for Conversation

Native ads that feel part of the conversation. Sponsored content from relevant partners. All designed to enhance, not disrupt, the user experience.

Real-Time Auction Exchange

OpenRTB 2.6 compliant protocol. Second-price auction mechanics. Sub-100ms latency target. Fair pricing for all participants, builder and advertiser aligned incentives.

Privacy-First by Design

No cookies. No cross-site tracking. No user profiles. Context-only matching based on conversation and request attributes. Built for a privacy-forward web.

Simple Integration

SDKs for popular AI frameworks. Webhook-based ad delivery. Minimal engineering lift for builders. Turn on monetization in hours, not months.

Why Now

AI Adoption Inflection

We're past the hype phase. ChatGPT, Claude, and others have reached critical mass. Millions of developers are building AI applications. Billions of users are engaged daily. The installed base exists.

Regulatory Tailwinds

Third-party cookies are deprecated. Privacy laws (GDPR, CCPA) favor contextual targeting. The regulatory environment is moving away from tracking-based ads toward context-aware solutions.

Conversation is the Interface

The shift from search queries to conversational interfaces is accelerating. This is the new UX paradigm. Advertising that works in conversation will define the next decade of digital media.

Team

We're four co-founders with deep experience in ad tech, machine learning, and building at scale.

Product & Infrastructure

Co-founder

Product leader in programmatic advertising. Built ad serving, bidding, and pacing systems at scale. Background in cloud infrastructure.

Applied Science

Co-founder

Applied Scientist specializing in ML optimization for ad systems. Published researcher in NLP and deep learning.

ML Engineering

Co-founder

Senior ML Engineer. Tech lead for real-time ML infrastructure in programmatic advertising. 8+ years building ad systems at scale.

Data Science

Co-founder

Data Scientist. Carnegie Mellon MS. Built ML pipelines and internal tooling across health tech and consumer platforms.

Business Model

Simple, aligned economics. We take a platform fee. Builders and advertisers keep the rest.

CPM
Pricing Model
Cost per thousand impressions. Familiar to all advertisers. Aligned with advertising industry standards.
60–75%
Builder Revenue Share
Builders earn 60% on the free tier (40% platform fee), scaling to 75% for enterprise (1M+ impressions/month).
2nd Price
Auction Mechanics
Second-price auctions ensure fair pricing and prevent bid shading.

Self-Serve Platform

Both sides of the marketplace operate through dedicated self-serve dashboards. No account managers required. No setup fees.

Builders (Supply)

AI app developers integrate the SDK, configure ad placements, monitor fill rates and earnings, and receive payouts — all from their dashboard.

Advertisers (Demand)

Brands and agencies create campaigns, set budgets and bids, define targeting, and track performance metrics — all from their dashboard.

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Let's Talk

We're raising our seed round and actively speaking with investors who understand the AI opportunity.