# Cleanpost

*/Startups/Cleanpost*

## Startup Overview

An automated moderation engine scrubs personally identifiable information from user-generated content streams in real time. Platforms handling high-volume text submissions face the constant risk of accidentally publishing sensitive data like social security numbers, addresses, or banking details, exposing themselves to severe compliance breaches.

Relying on manual moderation queues creates unacceptable publishing bottlenecks, while external APIs like AWS Comprehend or Perspective API force engineering teams to send raw, potentially sensitive data outside their network. By deploying entirely within a customer's existing Virtual Private Cloud, this architecture ensures zero data leaves the internal security perimeter.

The engine executes text inspection and redaction inline, optimized for sub-millisecond latency. High-traffic social applications and marketplaces maintain instant publishing speeds while structurally eliminating the risk of data leaks without external dependencies.

## Startup Founding Hypothesis

**Approach**: that scrubs personally identifiable information from user-generated content streams
**Competitors**:
- [AWS Comprehend](/Competitors/AWS_Comprehend)
- [Perspective API](/Competitors/Perspective_API)
- [Manual Moderation Queues](/Competitors/Manual_Moderation_Queues)
**Differentiator2x2**: deployable entirely within your own VPC and optimized for sub-millisecond publishing latency

## Startup Solution Coordinate

**Solution**: [Cleanpost Privacy Gateway](/Software/Cleanpost_Privacy_Gateway)

## Startup Position2x2

```mermaid
quadrantChart
 x-axis "Cloud SaaS" --> "VPC Deployable"
 y-axis "High Latency" --> "Sub-millisecond Latency"
 quadrant-1 "Real-time VPC"
 quadrant-2 "Real-time Cloud"
 quadrant-3 "Slow Cloud"
 quadrant-4 "Slow Local"
 "Manual Moderation Queues": [0.8, 0.1]
 "AWS Comprehend": [0.2, 0.6]
 "Perspective API": [0.1, 0.8]
 "Cleanpost": [0.9, 0.9]
```

## Startup Offer

**Proof**:
- Aiming to process 50 million monthly chat messages for a tier-one gaming platform with zero external data egress.
- Targeting a sustained sub-millisecond processing latency during peak traffic spikes for a live financial news feed.
- Designing for zero-trust compliance by proving zero PII leakage outside a target enterprise's internal network.
**Tiers**:
- Name: Cloud API · Price: ~$0.15–$0.30 per 1,000 messages · Inclusions: Access to the managed multi-tenant redaction endpoint for standard PII entities, capped at 500 requests per second.
- Name: Private VPC License · Price: ~$3,000–$6,000/mo flat · Inclusions: Stateless deployment artifacts designed for hosting entirely within your own AWS or GCP environment, offering unlimited message throughput.
**Guarantee**: Cleanpost guarantees sub-millisecond average processing latency and 99.9% PII redaction accuracy for standard entity types; failure to meet either metric in a given billing period results in a full monthly service credit.
**Business Function**: ProvideService
**Objection Handlers**:
- VPC deployment requires too much maintenance overhead: Cleanpost ships as a stateless Docker container managed via standard Helm charts with zero persistent database requirements.
- In-line moderation adds unacceptable chat latency: By running locally within your own VPC infrastructure, network transit is eliminated, keeping processing overhead under one millisecond.
- UGC slang bypasses standard PII filters: The engine uses semantic contextual models alongside regex to catch intentionally obfuscated credentials and non-standard number formats.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative technical register defined by absolute precision.
**Tagline**: Strip personal data from user streams with zero latency.
**Icon Concept**: Marker
**Palette Intent**: institutional-cool
**Visual Identity**: Stark slate and deep navy backgrounds anchor the identity, paired with monospaced typography and geometric block motifs that evoke redacted document streams.
**Archetype Reference**: the-ruler

## Startup Buyer Chain

**Chain**: Cleanpost → Platform Infrastructure & Security Teams → Application End Users
**Gtm Motion**: Acquires engineering buyers through infrastructure-as-code templates that allow immediate, local latency testing within their own environments. Expands contract value by moving from single-stream deployments to platform-wide enterprise licenses as Trust and Safety teams enforce compliance across all user-generated data ingestion points.
**Agent Channel**: Designed to list in the LangChain Tool Registry and the OpenAI schema directory as a data-sanitization middleware, allowing AI security and moderation agents to discover the endpoint and route raw text through the redaction layer before subsequent processing.
**Primary Channel**: Technical search intent for 'VPC PII redaction' and 'low-latency UGC moderation', targeting intended listings on the AWS Marketplace and Terraform Registry where infrastructure engineers source deployable compliance components.

## Startup Customer Journey

```mermaid
flowchart LR; A[AWS Marketplace Listing] --> B[IAC Deployment Template]; B --> C[Local VPC Environment]; C --> D[Redaction Endpoint]; D --> E[Single-Stream Deployment]; E --> F[Trust and Safety Team]; F --> G[Platform-Wide Enterprise License]
```

## Startup Proof Points

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

**Pilot Goals**:
- A 14-day shadow-mode pilot within a gaming platform's staging environment to process 10 million simulated chat messages and validate sub-millisecond processing latency.
- A 30-day isolated VPC deployment with a financial services app to prove zero PII leakage and 99.9% redaction accuracy before pushing the integration to production.
**Target Metrics**:
- Target: < 1 millisecond average processing latency during peak traffic spikes
- Target: 99.9% PII redaction accuracy for standard and obfuscated entity types
- Target: 0 bytes of external data egress required for VPC deployments
- Target: 50 million monthly chat messages processed per isolated cluster without database persistence
**Target Case Studies**:
- Target Case: A mid-tier multiplayer gaming platform deploys the private VPC license to redact player chat in real-time, achieving zero data egress while maintaining sub-millisecond message delivery.
- Target Case: A financial news aggregator implements the cloud API to filter user-generated comments, utilizing semantic contextual models to catch obfuscated credit card and account numbers before publication.
- Target Case: A telehealth provider integrates the stateless Docker deployment to mask patient PII in messaging before routing the text to external diagnostic LLMs, ensuring HIPAA compliance with zero network transit latency.
**Testimonial Targets**:
- VP of Engineering at a live-streaming platform expressing that the stateless Docker container deployed effortlessly via Helm charts without adding database maintenance.
- Chief Information Security Officer at a fintech startup confirming that running the redaction engine locally eliminated network transit latency and met zero-trust compliance.
- Trust and Safety Lead at a community forum verifying that the semantic contextual models catch slang and intentional PII obfuscation that their previous regex filters missed.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: AWS natively integrates sub-millisecond PII redaction directly into its existing Comprehend service, nullifying the primary VPC-deployment differentiator. · Mitigation Status: unmitigated
- Severity: high · Description: The scrubbing engine fails to identify novel text obfuscation or localized slang, causing a high-profile PII leak that triggers massive liability and immediate customer churn. · Mitigation Status: in-progress
- Severity: high · Description: Deploying completely within customer VPCs requires bespoke security reviews and heavy sales engineering, stretching sales cycles beyond the startup runway. · Mitigation Status: in-progress
- Severity: moderate · Description: Customer-specific cloud hardware constraints make the guaranteed sub-millisecond publishing latency impossible to maintain without manual engineering intervention. · Mitigation Status: unmitigated

## Startup Competitors

- [AWS Comprehend](/Competitors/AWS_Comprehend) — Cloud NLP Service
- [Perspective API](/Competitors/Perspective_API) — Content Moderation API
- [Manual Moderation Queues](/Competitors/Manual_Moderation_Queues) — Status Quo
- [Nightfall AI](/Competitors/Nightfall_AI) — Cloud DLP Platform
- [Google Cloud DLP](/Competitors/Google_Cloud_DLP) — Incumbent Service
- [Private AI](/Competitors/Private_AI) — Privacy Tech

## Startup Story Brand

**Hero**:
- **Need**: to be the architect of a zero-trust environment, not a compliance bottleneck
- **Want**: to scrub PII from user streams without adding latency to chat
- **Identity**: the platform engineer at a high-volume social or gaming company
**Plan**:
- Step: Deploy Helm · Detail: Launch our stateless Docker containers into your AWS or GCP environment using standard infrastructure-as-code patterns.
- Step: Confirm Latency · Detail: Verify sub-millisecond processing times by running local benchmark tests against your existing internal message bus.
- Step: Stream Content · Detail: Route your UGC through the local endpoint to strip PII before it ever hits your persistent databases.
**Guide**:
- **Empathy**: Compliance wins are lost in milliseconds — but round-trips to third-party APIs make speed impossible.
**Problem**:
- **Villain**: data egress
- **External**: Shipping user streams to AWS Comprehend or Perspective API violates data residency and adds massive network overhead to sub-millisecond chat.
- **Internal**: You feel compromised because you have to choose between user privacy and a snappy real-time experience.
- **Philosophical**: User streams were built for connection, not surveillance.
**Success**: Your platform maintains sub-millisecond speed while ensuring zero PII ever leaves your secure internal network.
**One Liner**: Instead of sending sensitive user data to third-party APIs, Cleanpost redacts PII within your own VPC — ensuring zero data egress and sub-millisecond latency.
**Positioning**:
- **So That**: strip PII without adding external network transit time
- **Unlike**: AWS Comprehend and manual moderation
- **For Whom**: Platform engineers at high-volume gaming companies
- **Category**: Edge PII Redaction Engine
**Call To Action**:
- **Direct**: Purchase VPC License
- **Transitional**: Download Latency Benchmark Report
**Failure Stakes**:
- Compromised user privacy
- Laggardly chat performance
- Regulatory fines for PII leakage
**Transformation**:
- **To**: the engineer who secures the stream without slowing it down
- **From**: a developer wrestling with AWS Comprehend latency
**Controlling Idea**: Privacy should never cost more than one millisecond.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of sending sensitive user data to third-party APIs, Cleanpost redacts PII within your own VPC — ensuring zero data egress and sub-millisecond latency.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 6a4e39c365269fdc

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Edge PII Redaction Engine for Platform engineers at high-volume gaming companies. Unlike AWS Comprehend and manual moderation — strip PII without adding external network transit time.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: cdfc189978e4f119

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Shipping user streams to AWS Comprehend or Perspective API violates data residency and adds massive network overhead to sub-millisecond chat.
Solution: Instead of sending sensitive user data to third-party APIs, Cleanpost redacts PII within your own VPC — ensuring zero data egress and sub-millisecond latency.
Customer: Platform engineers at high-volume gaming companies
Unlike: AWS Comprehend and manual moderation
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 4b0efd7c0da34690

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

**Pain**: Shipping user streams to AWS Comprehend or Perspective API violates data residency and adds massive network overhead to sub-millisecond chat.
**Metrics**: Target: Your platform maintains sub-millisecond speed while ensuring zero PII ever leaves your secure internal network.
**Rendered**: Pain: Shipping user streams to AWS Comprehend or Perspective API violates data residency and adds massive network overhead to sub-millisecond chat.
Economic buyer: Platform Infrastructure & Security Teams
Metrics: Target: Your platform maintains sub-millisecond speed while ensuring zero PII ever leaves your secure internal network.
Competition: AWS Comprehend and manual moderation
**Mechanism**: spine-derived-v1
**Competition**: AWS Comprehend and manual moderation
**Economic Buyer**: Platform Infrastructure & Security Teams
**Vocab Fingerprint**: 0396a537df22070c

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Edge PII Redaction Engine for Platform engineers at high-volume gaming companies

Platform engineers at high-volume gaming companies — Shipping user streams to AWS Comprehend or Perspective API violates data residency and adds massive network overhead to sub-millisecond chat. Instead of sending sensitive user data to third-party APIs, Cleanpost redacts PII within your own VPC — ensuring zero data egress and sub-millisecond latency.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: fae31ad1f123bd24

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Edge PII Redaction Engine. Instead of sending sensitive user data to third-party APIs, Cleanpost redacts PII within your own VPC — ensuring zero data egress and sub-millisecond latency. Serves Platform engineers at high-volume gaming companies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: f83c08f8db4976c8

## Neighborhood

### Candidate solutions

- [Defect Reporting Latency](/Problems/Defect_Reporting_Latency) — candidate solution for · Problems

### Composed of

- [Volumetric Scan Triage Service](/Services/Volumetric_Scan_Triage_Service) — composes · Services
- [Defect Bounding API](/Software/Defect_Bounding_API) — composes · Software
- [Scan Ingestion SDK](/Software/Scan_Ingestion_SDK) — composes · Software
- [Isometric Mapping Worker](/Agents/Isometric_Mapping_Worker) — composes · Agents
- [Radiograph Scrubbing Agent](/Agents/Radiograph_Scrubbing_Agent) — composes · Agents
- [Scan Characterization Service](/Services/Scan_Characterization_Service) — composes · Services
- [Volumetric Scrubbing Agent](/Agents/Volumetric_Scrubbing_Agent) — composes · Agents
- [Radiograph Streaming SDK](/Software/Radiograph_Streaming_SDK) — composes · Software
- [Dimension Transcription Worker](/Agents/Dimension_Transcription_Worker) — composes · Agents

### Competitors

- [Nightfall AI](/Competitors/Nightfall_AI) — competes with · Competitors
- [AWS Comprehend](/Competitors/AWS_Comprehend) — competes with · Competitors
- [Google Cloud DLP](/Competitors/Google_Cloud_DLP) — competes with · Competitors
- [Private AI](/Competitors/Private_AI) — competes with · Competitors
- [Perspective API](/Competitors/Perspective_API) — competes with · Competitors
- [Manual Moderation Queues](/Competitors/Manual_Moderation_Queues) — competes with · Competitors
- [Evident OmniPC Software](/Competitors/Evident_OmniPC_Software) — competes with · Competitors
- [Zetec TomoView Analysis](/Competitors/Zetec_TomoView_Analysis) — competes with · Competitors
- [MISTRAS PCMS Platform](/Competitors/MISTRAS_PCMS_Platform) — competes with · Competitors
- [Physical SD Card Transport](/Competitors/Physical_SD_Card_Transport) — competes with · Competitors
- [Evident OmniPC](/Competitors/Evident_OmniPC) — competes with · Competitors
- [Zetec TomoView](/Competitors/Zetec_TomoView) — competes with · Competitors
- [MISTRAS PCMS](/Competitors/MISTRAS_PCMS) — competes with · Competitors
- [Physical SD Cards](/Competitors/Physical_SD_Cards) — competes with · Competitors
- [SD Card Transport](/Competitors/SD_Card_Transport) — competes with · Competitors
- [Manual SD Card Transport](/Competitors/Manual_SD_Card_Transport) — competes with · Competitors
- [Manual Flaw Transcription](/Competitors/Manual_Flaw_Transcription) — competes with · Competitors

### What it offers

- [Cleanpost Privacy Gateway](/Software/Cleanpost_Privacy_Gateway) — offers · Software
- [Volumetric Defect Engine](/Software/Volumetric_Defect_Engine) — offers · Software
- [Cleanpost Volumetric Engine](/Software/Cleanpost_Volumetric_Engine) — offers · Software

### Embodies

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

### Who it serves

- [Non-Destructive Testing (NDT) Contractor](/CompanyTypes/Non-Destructive_Testing_(NDT)_Contractor) — serves · CompanyTypes

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