# Gressil

*/Startups/Gressil*

## Startup Overview

Digital advertisers lose significant budget to invalid traffic and bot networks that infiltrate programmatic ad exchanges. This platform operates as an active filter within the ad-buying infrastructure, intercepting bid requests and evaluating them for fraudulent signals. It audits inbound traffic and scrubs invalid inventory before a bid is ever submitted, ensuring media spend reaches actual human audiences.

Legacy verification platforms like DoubleVerify and Integral Ad Science, along with static IP blocklists, typically operate post-bid or rely on outdated threat signatures. This forces advertisers to pay for bad impressions upfront and attempt to reconcile the waste later. Instead, this system evaluates traffic entirely pre-bid in real time, stopping fraudulent transactions at the exchange gateway. The service aligns directly with advertiser success through an outcome-based pricing model, charging strictly per blocked invalid impression rather than a flat technology fee.

## Startup Founding Hypothesis

**Approach**: that audits and scrubs invalid traffic from programmatic ad bids
**Competitors**:
- [DoubleVerify](/Competitors/DoubleVerify)
- [Integral Ad Science](/Competitors/Integral_Ad_Science)
- [static IP blocklists](/Competitors/static_IP_blocklists)
**Differentiator2x2**: applied entirely pre-bid in real-time and outcome-priced per blocked impression

## Startup Solution Coordinate

**Solution**: [Pre-Bid Validator](/Services/Pre-Bid_Validator)

## Startup Position2x2

```mermaid
quadrantChart
    title Gressil Position vs Competitors
    x-axis Post-Bid / Static --> Real-Time Pre-Bid
    y-axis Flat CPM / Subscription --> Outcome-Priced
    quadrant-1 Defensible Position
    quadrant-2 Value-Aligned Static
    quadrant-3 Legacy Tools
    quadrant-4 Incumbent SaaS
    "DoubleVerify": [0.80, 0.25]
    "Integral Ad Science": [0.75, 0.30]
    "static IP blocklists": [0.15, 0.10]
    "Gressil": [0.90, 0.85]
```

## Startup Offer

**Proof**:
- Targeting a 15–20% reduction in wasted ad spend for demand-side platforms by catching invalid traffic before the bid.
- Designed to process high-volume bid streams at scale with strict sub-10ms response times at the edge.
- Aiming to capture and block 99% of known deterministic botnet signatures pre-bid.
**Tiers**:
- Name: Standard Block Meter · Price: ~$0.02–$0.05 per 1,000 blocked impressions · Inclusions: Real-time pre-bid evaluation API access, deterministic invalid traffic signatures, and automated fail-open routing for up to 500 million evaluated bids per month.
- Name: Dedicated Edge · Price: ~$0.06–$0.12 per 1,000 blocked impressions · Inclusions: Dedicated edge-deployed evaluation nodes for sub-5ms latency, custom threat-feed integration, and unlimited monthly bid evaluations.
**Guarantee**: Gressil guarantees sub-10ms latency on all pre-bid evaluations; if a request exceeds this threshold, the system automatically fails open to ensure bid continuity, and the evaluation is not billed.
**Business Function**: ProvideService
**Objection Handlers**:
- Latency timeouts: Adding a pre-bid check will cause our bids to time out. -> Gressil is engineered to evaluate traffic in under 10ms at the edge, strictly failing open if latency spikes so you never miss a valid auction.
- Cost redundancy: We already pay for post-bid verification tools. -> Gressil stops the purchase before it happens and charges purely on an outcome basis per blocked impression, generating immediate ROI against wasted media spend.
- False positives: You will block legitimate human traffic. -> The system targets structural payload anomalies and deterministic bot signatures rather than relying on broad, inaccurate static IP blocklists.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and authoritative, emphasizing absolute precision in high-frequency environments.
**Tagline**: Block invalid ad impressions before the bid even happens.
**Icon Concept**: sieve
**Palette Intent**: electric-signal
**Visual Identity**: High-contrast neon green and obsidian black establish a digital palette paired with monospace typography that evokes the raw data of programmatic bid streams.
**Archetype Reference**: the-ruler

## Startup Buyer Chain

**Chain**: Ad Tech Vendor → Demand-Side Platform (DSP) → Brand Advertiser
**Gtm Motion**: Acquires DSPs and media agencies through limited pilot campaigns that prove immediate ROAS lift by blocking invalid traffic. Expands across the buyer's entire media footprint by charging exclusively on a per-blocked-impression basis, removing the friction to scale platform-wide.
**Agent Channel**: Intended to list in programmatic API catalogs and agentic tool registries, enabling autonomous media-buying agents to discover and integrate the pre-bid filtering endpoint directly into their bidding logic.
**Primary Channel**: Direct outbound targeted at Heads of Programmatic and Ad Ops leaders, supported by technical case studies published on industry hubs like AdExchanger.

## Startup Customer Journey

```mermaid
flowchart LR; A[AdExchanger Publication] --> B[Head of Programmatic]; B --> C[ROAS Pilot Campaign]; C --> D[Pre-Bid Evaluation API]; D --> E[Standard Block Meter]; E --> F[Dedicated Edge Node]; F --> G[Agentic Tool Registry];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- Aim: 14-day partial bid-stream pilot routing 10% of DSP traffic through Gressil to demonstrate a definitive drop in invalid post-bid impressions compared to a control group.
- Aim: 30-day edge latency test evaluating up to 500 million requests to prove sub-10ms response speeds and zero impact on valid auction participation.
**Target Metrics**:
- Target: 15–20% reduction in wasted ad spend on invalid traffic
- Target: Sub-10ms median response time for pre-bid edge evaluations
- Aim: 99% capture rate of known deterministic botnet signatures pre-bid
- Target: 100% fail-open execution rate during localized latency spikes to guarantee bid continuity
**Target Case Studies**:
- Target shape: A mid-market Demand-Side Platform (DSP) implements the real-time evaluation API to filter bot traffic pre-bid, achieving a 15% reduction in wasted media spend while maintaining strict sub-10ms auction latency.
- Target shape: A global Ad Network deploys Dedicated Edge nodes, eliminating post-bid verification discrepancies by identifying and dropping deterministic invalid traffic signatures before participating in the auction.
- Target shape: A programmatic media buying agency shifts budget from post-bid remediation tools to Gressil's pre-bid filter, generating immediate ROI through the pay-per-blocked-impression pricing model.
**Testimonial Targets**:
- Target testimonial: VP of Ad Operations at a DSP confirms the system blocks invalid impressions pre-bid without increasing auction timeout rates.
- Target testimonial: AdTech CTO validates that the fail-open routing and edge-deployed evaluation nodes keep latency strictly under the 10ms threshold at high volumes.
- Target testimonial: Head of Programmatic Trading emphasizes the immediate financial ROI of the usage-based pricing, paying solely for the deterministic invalid impressions successfully blocked.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Demand-side platforms drop the integration because the pre-bid filtering adds unacceptable latency to the sub-100ms programmatic auction window. · Mitigation Status: in-progress
- Severity: high · Description: Ad networks refuse the outcome-based pricing model because paying per blocked impression directly conflicts with their volume-driven revenue incentives. · Mitigation Status: unmitigated
- Severity: high · Description: Incumbents DoubleVerify or Integral Ad Science release native real-time pre-bid features to their existing enterprise clients, rendering a standalone third-party filter redundant. · Mitigation Status: unmitigated
- Severity: moderate · Description: Botnets rotate device fingerprints and residential IP addresses faster than the real-time detection engine updates its models, resulting in high false negative rates. · Mitigation Status: in-progress

## Startup Competitors

- [DoubleVerify](/Competitors/DoubleVerify) — Incumbent
- [Integral Ad Science](/Competitors/Integral_Ad_Science) — Incumbent
- [Static IP Blocklists](/Competitors/Static_IP_Blocklists) — Status Quo
- [Human Security](/Competitors/Human_Security) — Bot Mitigation
- [Moat](/Competitors/Moat) — Incumbent

## Startup Story Brand

**Hero**:
- **Need**: to protect the platform's supply-side reputation and maximize client ROAS on every auction
- **Want**: to stop purchasing fraudulent impressions before the ad dollar leaves the budget
- **Identity**: the head of operations at a programmatic demand-side platform
**Plan**:
- Step: Review traffic · Detail: Pass your programmatic bid stream through our pre-bid evaluation API to identify structural payload anomalies.
- Step: Verify signatures · Detail: Our system confirms botnet signatures in real-time, allowing valid auctions to proceed without adding latency.
- Step: Reclaim budget · Detail: Only pay for the impressions we successfully block, instantly converting fraud prevention into recovered media spend.
**Guide**:
- **Empathy**: Does your bidding engine still process millions of impressions that static IP blocklists fail to catch?
**Problem**:
- **Villain**: Post-Bid Leakage
- **External**: Relying on post-bid tools like DoubleVerify means paying for fraudulent impressions first and chasing refunds that never fully recover the wasted media spend.
- **Internal**: You feel like you are subsidizing botnets with your clients' budgets while waiting for a report to tell you what you already lost.
- **Philosophical**: Media budgets belong in human attention, not in botnet infrastructure.
**Success**: Every dollar bid is a dollar spent on human eyes, with fraud blocked at the edge and zero cost for valid traffic evaluations.
**One Liner**: Post-bid fraud detection costs demand-side platforms 20% of their media spend on non-human traffic. Gressil scrubs invalid traffic in real-time pre-bid so every ad dollar reaches a real person.
**Positioning**:
- **So That**: eliminate wasted ad spend before the auction occurs
- **Unlike**: post-bid verification tools and static blocklists
- **For Whom**: heads of operations at programmatic DSPs
- **Category**: Pre-bid IVT scrubbing service
**Call To Action**:
- **Direct**: Deploy Block Meter
- **Transitional**: Download Threat Signature Schema
**Failure Stakes**:
- Draining 20% of budget on non-human traffic
- Damaging DSP credibility with premium advertisers
- Exceeding auction latency thresholds
**Transformation**:
- **To**: the programmatic's budget gatekeeper
- **From**: a DSP operator managing post-bid cleanup reports
**Controlling Idea**: Fraud should be blocked before it is bought.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Post-bid fraud detection costs demand-side platforms 20% of their media spend on non-human traffic. Gressil scrubs invalid traffic in real-time pre-bid so every ad dollar reaches a real person.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 811282faa4e118fd

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Pre-bid IVT scrubbing service for heads of operations at programmatic DSPs. Unlike post-bid verification tools and static blocklists — eliminate wasted ad spend before the auction occurs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: eb2e23f329b39058

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Relying on post-bid tools like DoubleVerify means paying for fraudulent impressions first and chasing refunds that never fully recover the wasted media spend.
Solution: Post-bid fraud detection costs demand-side platforms 20% of their media spend on non-human traffic. Gressil scrubs invalid traffic in real-time pre-bid so every ad dollar reaches a real person.
Customer: heads of operations at programmatic DSPs
Unlike: post-bid verification tools and static blocklists
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: b7faced66f8d8747

## Startup Token M E D D P I C C

**Pain**: Relying on post-bid tools like DoubleVerify means paying for fraudulent impressions first and chasing refunds that never fully recover the wasted media spend.
**Metrics**: Target: Every dollar bid is a dollar spent on human eyes, with fraud blocked at the edge and zero cost for valid traffic evaluations.
**Rendered**: Pain: Relying on post-bid tools like DoubleVerify means paying for fraudulent impressions first and chasing refunds that never fully recover the wasted media spend.
Economic buyer: Demand-Side Platform
Metrics: Target: Every dollar bid is a dollar spent on human eyes, with fraud blocked at the edge and zero cost for valid traffic evaluations.
Competition: post-bid verification tools and static blocklists
**Mechanism**: spine-derived-v1
**Competition**: post-bid verification tools and static blocklists
**Economic Buyer**: Demand-Side Platform
**Vocab Fingerprint**: cf3468fad8bf31c9

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Pre-bid IVT scrubbing service for heads of operations at programmatic DSPs

heads of operations at programmatic DSPs — Relying on post-bid tools like DoubleVerify means paying for fraudulent impressions first and chasing refunds that never fully recover the wasted media spend. Post-bid fraud detection costs demand-side platforms 20% of their media spend on non-human traffic. Gressil scrubs invalid traffic in real-time pre-bid so every ad dollar reaches a real person.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 5962efd4b6776895

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Pre-bid IVT scrubbing service. Post-bid fraud detection costs demand-side platforms 20% of their media spend on non-human traffic. Gressil scrubs invalid traffic in real-time pre-bid so every ad dollar reaches a real person. Serves heads of operations at programmatic DSPs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: ea3b85ada236f012

## Neighborhood

### Candidate solutions

- [False Alarm Signal Triage](/Problems/False_Alarm_Signal_Triage) — candidate solution for · Problems
- [Compete With Hospital Systems](/Problems/Compete_With_Hospital_Systems) — candidate solution for · Problems
- [ABET Accreditation Data Collection](/Problems/ABET_Accreditation_Data_Collection) — candidate solution for · Problems
- [Inbound Call Abandonment Rates](/Problems/Inbound_Call_Abandonment_Rates) — candidate solution for · Problems
- [Delay Asset Replacement](/Problems/Delay_Asset_Replacement) — candidate solution for · Problems

### Competitors

- [Moat](/Competitors/Moat) — competes with · Competitors
- [Human Security](/Competitors/Human_Security) — competes with · Competitors
- [Static IP Blocklists](/Competitors/Static_IP_Blocklists) — competes with · Competitors
- [DoubleVerify](/Competitors/DoubleVerify) — competes with · Competitors
- [Integral Ad Science](/Competitors/Integral_Ad_Science) — competes with · Competitors
- [Manual LMS Extraction](/Competitors/Manual_LMS_Extraction) — competes with · Competitors
- [Watermark Taskstream](/Competitors/Watermark_Taskstream) — competes with · Competitors
- [Anthology Portfolio](/Competitors/Anthology_Portfolio) — competes with · Competitors
- [manual spreadsheet mapping](/Competitors/manual_spreadsheet_mapping) — competes with · Competitors
- [AEFIS](/Competitors/AEFIS) — competes with · Competitors
- [Manual Double-Grading](/Competitors/Manual_Double-Grading) — competes with · Competitors
- [Canvas LMS](/Competitors/Canvas_LMS) — competes with · Competitors
- [Double-Grading Coursework](/Competitors/Double-Grading_Coursework) — competes with · Competitors
- [AEFIS Assessment Suite](/Competitors/AEFIS_Assessment_Suite) — competes with · Competitors
- [double-grading assignments](/Competitors/double-grading_assignments) — competes with · Competitors
- [manual spreadsheet outcome mapping](/Competitors/manual_spreadsheet_outcome_mapping) — competes with · Competitors
- [AEFIS Assessment Platform](/Competitors/AEFIS_Assessment_Platform) — competes with · Competitors
- [Spreadsheet Outcome Mapping](/Competitors/Spreadsheet_Outcome_Mapping) — competes with · Competitors
- [manual question-level LMS extraction](/Competitors/manual_question-level_LMS_extraction) — competes with · Competitors
- [manual spreadsheet extraction](/Competitors/manual_spreadsheet_extraction) — competes with · Competitors

### What it offers

- [Pre-Bid Validator](/Services/Pre-Bid_Validator) — offers · Services
- [Gressil Outcome Agent](/Agents/Gressil_Outcome_Agent) — offers · Agents
- [Artifact Matrix](/Agents/Artifact_Matrix) — offers · Agents

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

### Composed of

- [Artifact Parsing Agent](/Agents/Artifact_Parsing_Agent) — composes · Agents
- [LMS Extraction API](/Software/LMS_Extraction_API) — composes · Software
- [Multimodal Ingestion Engine](/Software/Multimodal_Ingestion_Engine) — composes · Software
- [Outcome Alignment Agent](/Agents/Outcome_Alignment_Agent) — composes · Agents
- [Accreditation Evidence Service](/Services/Accreditation_Evidence_Service) — composes · Services
- [Proficiency Mapping Agent](/Agents/Proficiency_Mapping_Agent) — composes · Agents
- [LMS Ingestion API](/Software/LMS_Ingestion_API) — composes · Software
- [Multimodal Parsing Engine](/Software/Multimodal_Parsing_Engine) — composes · Software
- [Artifact Redaction Worker](/Agents/Artifact_Redaction_Worker) — composes · Agents
- [Accreditation Dossier Service](/Services/Accreditation_Dossier_Service) — composes · Services

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