Observe served impressions
A Fou campaign pixel records the outcome and produces red, blue, mixed, or unobserved evidence.
Fou Analytics measures served-impression outcomes. Engrammatic uses that evidence to sanitize incoming bid requests before they consume bidder QPS.
The client keeps its bidder. Fou supplies the measurement signal. Engrammatic operates the high-throughput layer that joins, learns, and removes repeat junk before the remaining stream enters the client’s decisioning path.
A Fou campaign pixel records the outcome and produces red, blue, mixed, or unobserved evidence.
Pixel or impression IDs join Fou data with the operator’s IP, user ID, domain, app, and supply context.
Explicit policies and compact hypervector memories capture good, bad, mixed, and novel traffic patterns.
Remove known bad traffic, bid down mixed supply, and route only accepted opportunities to the bidder.
The initial policy follows Augustine Fou’s entity-history method. Engrammatic adds high-dimensional matching for combinations that simple lists do not capture, using inexpensive CPU workers that scale horizontally.
The pilot tags a live campaign, joins Fou outcomes to the bidstream, places the sanitizer before the bidder, and compares the operating result before and after. Data delivery is designed for AWS US-West-2 through S3 and an IAM role.
A white-labeled, bidder-neutral filtering layer for organizations that already operate their own buying infrastructure.
Discuss a live pilot →