# Unoct

*/Startups/Unoct*

## Startup Overview

This platform ingests raw publisher delivery logs and cross-references them directly against programmatic ad bids. It executes exact matching to verify individual impressions, eliminating reliance on estimates and probabilistic sampling.

Digital advertisers and media buyers lose significant budget to unfulfilled or incorrectly trafficked programmatic placements. The standard ecosystem forces them to accept arbitrary discrepancy margins or perform manual spreadsheet audits to locate missing impressions.

Instead of deploying broad viewability wrappers like DoubleVerify or Integral Ad Science, the engine operates deterministically at the log level to isolate exact delivery failures. It calculates the precise financial shortfall and prices its infrastructure strictly on the actual ad spend recovered for the buyer.

## Startup Founding Hypothesis

**Approach**: that reconciles ad bids against raw publisher delivery logs
**Competitors**:
- [DoubleVerify](/Competitors/DoubleVerify)
- [Integral Ad Science](/Competitors/Integral_Ad_Science)
- [Manual Spreadsheet Audits](/Competitors/Manual_Spreadsheet_Audits)
**Differentiator2x2**: deterministic at the log level and priced strictly on recovered spend

## Startup Solution Coordinate

**Solution**: [ClearLog Auditor](/Services/ClearLog_Auditor)

## Startup Position2x2

```mermaid
quadrantChart
title Ad Delivery Reconciliation Market
x-axis "Probabilistic / Sampled" --> "Deterministic Log Level"
y-axis "Impression-Based / Flat Fee" --> "Priced on Recovered Spend"
DoubleVerify: [0.25, 0.25]
Integral Ad Science: [0.35, 0.20]
Manual Spreadsheet Audits: [0.85, 0.15]
Unoct: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting programmatic buyers aiming to recover 3% to 5% of total ad spend lost to delivery discrepancies.
- Aiming to reduce manual spreadsheet reconciliation time for ad-ops teams from several weeks to under 4 hours.
- Targeting a 99%+ deterministic match rate between DSP bid logs and SSP delivery receipts.
**Tiers**:
- Name: Performance Recovery · Price: ~15%–20% of recovered ad spend · Inclusions: Deterministic bid-to-delivery log reconciliation, automated refund claim generation, and connection to up to 3 standard DSP/SSP log streams.
- Name: Volume Audit · Price: ~10%–12% of recovered ad spend + ~$1,500/mo · Inclusions: Unlimited platform connections, raw cloud-bucket data ingestion, and dedicated reporting for buyers processing over $1M/month in programmatic spend.
**Guarantee**: Unoct guarantees that the verified refund claims generated will strictly exceed the platform's operating and infrastructure fees within the first 60 days, or all service costs are waived.
**Business Function**: ProvideService
**Objection Handlers**:
- Concern: We already pay Integral Ad Science and DoubleVerify. Answer: Those vendors sample traffic for viewability and brand safety; Unoct acts as a financial auditor matching 100% of raw logs to recover un-rendered cash.
- Concern: DSP reporting already shows our delivery metrics. Answer: DSPs grade their own homework based on aggregated data; Unoct requires raw publisher logs to deterministically prove what impressions actually occurred.
- Concern: Ingesting raw log-level data from multiple SSPs is too resource-intensive. Answer: Unoct is designed to connect directly to your existing AWS or GCP storage buckets to process terabytes of log drops asynchronously without taxing your engineering team.
**Pricing Architecture**: UsageMeter

## Startup Brand

**Voice**: Forensic and clinical, prioritizing mathematical certainty over marketing jargon.
**Tagline**: Recover missing ad spend through log-level delivery reconciliation.
**Icon Concept**: receipt
**Palette Intent**: institutional-cool
**Visual Identity**: A high-contrast palette of ledger-line blue and crisp white frames dense typographic grids, evoking the raw data structure of server logs.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Programmatic Ad Agency → Brand Advertiser
**Gtm Motion**: Acquires customers by conducting a zero-risk retroactive audit of 30 days of DSP logs to uncover immediate bid discrepancies and wasted spend. Expands by converting these initial audits into continuous, automated ingestion across all publisher channels, charging exclusively as a percentage of the continuously recovered media spend.
**Agent Channel**: Designed to register as an MCP (Model Context Protocol) tool for autonomous marketing agents, enabling algorithmic media buyers to query delivery logs and verify bid discrepancies directly within their campaign optimization loops.
**Primary Channel**: Direct outbound targeting ad ops directors and programmatic buyers, triggered by new campaign launches or agency-of-record announcements, alongside organic search capture for terms like "DSP log reconciliation" and "programmatic bid discrepancy".

## Startup Customer Journey

```mermaid
flowchart LR; A[Campaign Trigger]-->C; B[Organic Search Capture]-->C[Retroactive DSP Audit]; C-->D[Refund Claim Generation]; D-->E[Continuous Log Ingestion]; E-->F[Cloud Bucket Integration]; F-->G[Algorithmic Agent Verification]; G-->H[Agency Rollout];
```

## Startup Proof Points

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

**Pilot Goals**:
- 30-day historical log audit: Ingest one month of past DSP and SSP logs to identify and verify enough un-rendered cash to cover the cost of the upcoming live deployment.
- 60-day live reconciliation pilot: Connect up to 3 standard DSP/SSP log streams to prove that the verified refund claims generated strictly exceed Unoct's operating and infrastructure fees, triggering the pricing guarantee.
**Target Metrics**:
- Target: 3% to 5% recovery rate of total programmatic ad spend.
- Target: 99%+ deterministic match rate between raw DSP bid logs and SSP delivery receipts.
- Target: Reduction in ad-ops reconciliation time from multiple weeks to under 4 hours.
- Target: Zero internal engineering hours required to ingest raw log-level data via direct cloud-bucket connections.
**Target Case Studies**:
- A mid-market performance marketing agency spending over $500,000 monthly programmatically: Demonstrating the recovery of 4% of total ad spend previously lost to delivery discrepancies by deterministically matching DSP bid logs with SSP receipts.
- An enterprise retail brand's in-house programmatic team: Showing the transformation from a three-week manual spreadsheet reconciliation process to an automated, four-hour audit cycle that generates verified refund claims for un-rendered impressions.
- A high-volume mobile user acquisition team processing terabytes of log data: Highlighting how connecting Unoct directly to their existing AWS storage buckets enables a full financial audit of $2M in monthly spend without taxing their internal engineering resources.
**Testimonial Targets**:
- VP of Media Buying: Validating that Unoct acts as a financial auditor recovering actual cash, filling the gap left by viewability and brand-safety vendors like IAS or DoubleVerify.
- Ad-Ops Director: Confirming that Unoct provides the raw, deterministic proof needed to successfully force refunds from platforms that otherwise grade their own homework.
- Head of Data Engineering: Expressing relief that Unoct processes massive log drops asynchronously from existing GCP or AWS buckets without requiring custom pipeline development.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Publishers restrict access to raw delivery logs citing data privacy policies, eliminating the deterministic data source required for reconciliation. · Mitigation Status: unmitigated
- Severity: high · Description: Demand-side platforms and ad exchanges block API access to bid data to prevent third-party auditing of their take rates. · Mitigation Status: in-progress
- Severity: moderate · Description: Cloud infrastructure costs for processing terabytes of granular ad logs outpace the revenue generated from the recovered-spend pricing model. · Mitigation Status: unmitigated
- Severity: moderate · Description: Campaign optimization naturally reduces wasted spend over time, directly shrinking the revenue pool available under the performance pricing model. · Mitigation Status: in-progress

## Startup Competitors

- [DoubleVerify](/Competitors/DoubleVerify) — Incumbent
- [Integral Ad Science](/Competitors/Integral_Ad_Science) — Incumbent
- [Manual Spreadsheet Audits](/Competitors/Manual_Spreadsheet_Audits) — Status Quo
- [Oracle Moat](/Competitors/Oracle_Moat) — Incumbent
- [In-House Data Teams](/Competitors/In-House_Data_Teams) — DIY

## Startup Solution Stack

- [Discrepancy Recovery Service](/Services/Discrepancy_Recovery_Service) — Service-as-Software
- [Log Reconciliation Agent](/Agents/Log_Reconciliation_Agent) — Agent
- [Bid Audit Worker](/Agents/Bid_Audit_Worker) — Agent
- [Log Ingestion Engine](/Software/Log_Ingestion_Engine) — Software
- [Deterministic Matching API](/Software/Deterministic_Matching_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the financial steward of client capital, not just a traffic manager
- **Want**: to reclaim the 5% of ad spend lost to delivery discrepancies
- **Identity**: an ad-operations lead at a high-volume programmatic agency
**Plan**:
- Step: Connect buckets · Detail: Point Unoct to your AWS or GCP storage where your raw DSP and SSP logs drop.
- Step: Verify delivery · Detail: The engine reconciles 100% of bid logs against actual delivery receipts to find every discrepancy.
- Step: Generate claims · Detail: Download the ready-to-file refund reports for your SSP partners to recover your unspent cash.
**Guide**:
- **Empathy**: Does your manual reconciliation process still miss the un-rendered impressions hidden in raw SSP log drops?
**Problem**:
- **Villain**: aggregated reporting
- **External**: Programmatic buyers lose millions because DSP reports aggregate data that hides the gap between a bid won and an impression actually rendered on the publisher's page.
- **Internal**: You feel helpless paying for un-rendered traffic while relying on the same platforms that spent the budget to audit themselves.
- **Philosophical**: Digital advertising was built for deterministic verification, not self-graded homework by the platforms.
**Success**: You recover every dollar lost to delivery gaps with automated audit reports that prove exactly where the budget failed to render.
**One Liner**: Every month, programmatic agencies lose millions to un-rendered impressions. Unoct reconciles raw log-level data so you can recover unspent ad budget.
**Positioning**:
- **So That**: recover un-rendered ad spend through deterministic log-by-log
- **Unlike**: Integral Ad Science traffic sampling
- **For Whom**: high-volume programmatic agencies
- **Category**: Log-level ad spend recovery
**Call To Action**:
- **Direct**: Recover ad spend
- **Transitional**: View sample audit report
**Failure Stakes**:
- Losing 5% of client budget
- Weeks wasted in spreadsheets
- Unrecovered platform overcharges
**Transformation**:
- **To**: free to drive high-performance strategy, no longer stuck hunting delivery logs
- **From**: an ad-ops lead trapped in spreadsheet audits
**Controlling Idea**: Every programmatic dollar spent must be deterministically proven by a publisher log.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every month, programmatic agencies lose millions to un-rendered impressions. Unoct reconciles raw log-level data so you can recover unspent ad budget.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: c92c3a02f2e66541

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Log-level ad spend recovery for high-volume programmatic agencies. Unlike Integral Ad Science traffic sampling — recover un-rendered ad spend through deterministic log-by-log.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 2c493ab0f4d492ae

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Programmatic buyers lose millions because DSP reports aggregate data that hides the gap between a bid won and an impression actually rendered on the publisher's page.
Solution: Every month, programmatic agencies lose millions to un-rendered impressions. Unoct reconciles raw log-level data so you can recover unspent ad budget.
Customer: high-volume programmatic agencies
Unlike: Integral Ad Science traffic sampling
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 7f82c456a2d16280

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

**Pain**: Programmatic buyers lose millions because DSP reports aggregate data that hides the gap between a bid won and an impression actually rendered on the publisher's page.
**Metrics**: Target: You recover every dollar lost to delivery gaps with automated audit reports that prove exactly where the budget failed to render.
**Rendered**: Pain: Programmatic buyers lose millions because DSP reports aggregate data that hides the gap between a bid won and an impression actually rendered on the publisher's page.
Economic buyer: Programmatic Ad Agency
Metrics: Target: You recover every dollar lost to delivery gaps with automated audit reports that prove exactly where the budget failed to render.
Competition: Integral Ad Science traffic sampling
**Mechanism**: spine-derived-v1
**Competition**: Integral Ad Science traffic sampling
**Economic Buyer**: Programmatic Ad Agency
**Vocab Fingerprint**: 2e094ba50e299299

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Log-level ad spend recovery for high-volume programmatic agencies

high-volume programmatic agencies — Programmatic buyers lose millions because DSP reports aggregate data that hides the gap between a bid won and an impression actually rendered on the publisher's page. Every month, programmatic agencies lose millions to un-rendered impressions. Unoct reconciles raw log-level data so you can recover unspent ad budget.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: ad175ab91c568172

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Log-level ad spend recovery. Every month, programmatic agencies lose millions to un-rendered impressions. Unoct reconciles raw log-level data so you can recover unspent ad budget. Serves high-volume programmatic agencies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 157360f94af2370a

## Neighborhood

### Candidate solutions

- [Service Technician Shortage](/Problems/Service_Technician_Shortage) — candidate solution for · Problems

### Composed of

- [Accuracy Recovery Service](/Services/Accuracy_Recovery_Service) — composes · Services
- [Schematic Vision Worker](/Agents/Schematic_Vision_Worker) — composes · Agents
- [OEM Parsing Engine](/Software/OEM_Parsing_Engine) — composes · Software
- [Live Telemetry API](/Software/Live_Telemetry_API) — composes · Software
- [Diagnostic Routing Service](/Services/Diagnostic_Routing_Service) — composes · Services
- [Diagnostic Triage Agent](/Agents/Diagnostic_Triage_Agent) — composes · Agents
- [Service Manual Engine](/Software/Service_Manual_Engine) — composes · Software
- [Schematic Overlay Worker](/Agents/Schematic_Overlay_Worker) — composes · Agents
- [Guided Repair Service](/Services/Guided_Repair_Service) — composes · Services
- [Log Reconciliation Agent](/Agents/Log_Reconciliation_Agent) — composes · Agents
- [Bid Audit Worker](/Agents/Bid_Audit_Worker) — composes · Agents
- [Log Ingestion Engine](/Software/Log_Ingestion_Engine) — composes · Software
- [Deterministic Matching API](/Software/Deterministic_Matching_API) — composes · Software

### Competitors

- [ALLDATA Repair](/Competitors/ALLDATA_Repair) — competes with · Competitors
- [master technician triage](/Competitors/master_technician_triage) — competes with · Competitors
- [Mitchell 1 ProDemand](/Competitors/Mitchell_1_ProDemand) — competes with · Competitors
- [master technician escalations](/Competitors/master_technician_escalations) — competes with · Competitors
- [Alldata](/Competitors/Alldata) — competes with · Competitors
- [Identifix Direct-Hit](/Competitors/Identifix_Direct-Hit) — competes with · Competitors
- [Master Technician Escalation](/Competitors/Master_Technician_Escalation) — competes with · Competitors
- [Master Tech Escalation](/Competitors/Master_Tech_Escalation) — competes with · Competitors
- [CDK Service](/Competitors/CDK_Service) — competes with · Competitors
- [Master Tech Escalations](/Competitors/Master_Tech_Escalations) — competes with · Competitors
- [escalating to master technicians](/Competitors/escalating_to_master_technicians) — competes with · Competitors
- [Master Tech Triage](/Competitors/Master_Tech_Triage) — competes with · Competitors
- [Escalating To Master Techs](/Competitors/Escalating_To_Master_Techs) — competes with · Competitors
- [Oracle Moat](/Competitors/Oracle_Moat) — competes with · Competitors
- [DoubleVerify](/Competitors/DoubleVerify) — competes with · Competitors
- [Integral Ad Science](/Competitors/Integral_Ad_Science) — competes with · Competitors
- [Manual Spreadsheet Audits](/Competitors/Manual_Spreadsheet_Audits) — competes with · Competitors
- [In-House Data Teams](/Competitors/In-House_Data_Teams) — competes with · Competitors

### Who it serves

- [Automobile Dealers](/CompanyTypes/Automobile_Dealers) — serves · CompanyTypes

### Embodies

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

### What it offers

- [Bay Telemetry](/Software/Bay_Telemetry) — offers · Software
- [Unoct Diagnostic Engine](/Software/Unoct_Diagnostic_Engine) — offers · Software
- [ClearLog Auditor](/Services/ClearLog_Auditor) — offers · Services

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