# Regity

*/Startups/Regity*

## Startup Overview

This compliance engine ingests unstructured transaction logs and maps them directly to jurisdiction-specific reporting schemas. It processes raw financial and operational data streams at the code level, structuring the final output to match the exact formatting required by local regulatory bodies.

Global digital platforms struggle to convert raw transaction histories into the rigid data structures demanded by distinct international regulators. Legacy GRC software and external compliance consultants require heavy manual intervention to format these reports, while screening tools like ComplyAdvantage do not handle the mechanical mapping of the final submission payload.

Built as a developer-native API, the system embeds into existing transaction pipelines to automate the final mile of regulatory reporting. It operates on an outcome-priced model, charging only per successful regulatory submission, which ties costs directly to accepted filings and removes the engineering overhead of maintaining localized mapping rules.

## Startup Founding Hypothesis

**Approach**: that maps unstructured transaction logs to jurisdiction-specific reporting schemas
**Competitors**:
- [legacy GRC platforms](/Competitors/legacy_GRC_platforms)
- [external compliance consultants](/Competitors/external_compliance_consultants)
- [ComplyAdvantage](/Competitors/ComplyAdvantage)
**Differentiator2x2**: developer-native and outcome-priced per successful regulatory submission

## Startup Solution Coordinate

**Solution**: [Regity Compliance Mapper](/Services/Regity_Compliance_Mapper)

## Startup Position2x2

```mermaid
quadrantChart
    x-axis Traditional Subscription --> Outcome-Priced
    y-axis Manual & UI-Heavy --> Developer-Native
    quadrant-1 Automated & Usage-Based
    quadrant-2 API-First & Fixed Cost
    quadrant-3 Legacy Enterprise
    quadrant-4 Outsourced Services
    Legacy GRC Platforms: [0.15, 0.15]
    External Compliance Consultants: [0.85, 0.10]
    ComplyAdvantage: [0.25, 0.80]
    Regity: [0.90, 0.90]
```

## Startup Offer

**Proof**:
- Targeting a 99.9% first-pass acceptance rate for automated STR and SAR filings.
- Aiming to eliminate up to 40 hours of manual data mapping per month for compliance analysts.
- Designed to connect seamlessly with modern core banking ledgers and enterprise data warehouses.
**Tiers**:
- Name: On-Demand · Price: ~$15–$30 per successful submission · Inclusions: Pay-as-you-go API access, automated mapping to standard US/UK regulatory schemas, and basic payload pre-validation for low-volume teams.
- Name: Committed Volume · Price: ~$4–$10 per successful submission · Inclusions: Pre-purchased blocks of up to 5,000 monthly submissions, automated missing-field enrichment routing, and priority webhook alerts.
- Name: Enterprise VPC · Price: Annual commitment: ~$50k–$100k/yr · Inclusions: Unlimited mapped submissions, private VPC deployment for data residency compliance, and custom engineering for niche local jurisdictions.
**Guarantee**: If a regulatory body rejects a submission due to a Regity schema mapping or formatting error, we automatically refund the per-submission fee and cover the compute cost to refile.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Regulatory schemas change frequently and unexpectedly. Rebuttal: Regity programmatically monitors jurisdiction technical specifications and version-controls API endpoints well ahead of enforcement dates.
- Objection: Our unstructured transaction logs often lack mandatory reporting fields. Rebuttal: The API pre-validates payloads and returns precise missing-field flags before triggering a billable submission attempt.
- Objection: We cannot expose unencrypted customer PII to external SaaS tools. Rebuttal: The platform is designed to operate on tokenized or hashed inputs to map schemas without ever requiring plaintext identities.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Technical and direct, emphasizing exact jurisdictional requirements and schema mappings
**Tagline**: Submit jurisdiction-specific regulatory reports directly from raw transaction logs
**Icon Concept**: ledger
**Palette Intent**: institutional-cool
**Visual Identity**: The visual identity contrasts deep institutional navy blues with sharp cyan accents, using stark monospace typography to reflect developer-native schema mapping.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Regity → FinTech Engineering Team → Chief Compliance Officer → Regional Financial Regulator
**Gtm Motion**: Acquires developer users bottom-up by providing immediate, self-serve sandbox access to test transaction log mapping against a single jurisdiction's rules. Expands revenue automatically through outcome-based pricing as the customer processes higher transaction volumes and activates reporting schemas for additional geographic markets.
**Agent Channel**: Intended to publish its OpenAPI specifications to developer-focused AI tool registries (such as the LangChain integration catalog and OpenAI's structured tool directory) so autonomous financial-operations agents can discover the capability and route raw logs for compliance formatting.
**Primary Channel**: Technical SEO and open-source SDK repositories targeting developers actively searching for specific compliance formatting solutions (e.g., queries for 'MiFID II transaction reporting API' or 'FINRA TRACE JSON schema validator').

## Startup Customer Journey

```mermaid
flowchart LR
  A[Open-Source SDKs] --> B[Sandbox Environment]
  B --> C[Jurisdiction Rule Mapping]
  C --> D[Production API Integration]
  D --> E[Additional Market Schemas]
  E --> F[Enterprise VPC Deployment]
```

## 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 sandbox pilot: Process 1,000 historical, anonymized transaction logs to prove the API automatically identifies missing mandatory fields without generating false positives.
- 60-day parallel-run pilot: Operate alongside a compliance team's manual process to demonstrate a targeted 99% reduction in mapping and formatting errors on standard regulatory submissions.
**Target Metrics**:
- Target: 99.9% first-pass acceptance rate for automated STR and SAR filings
- Aim: 40-hour reduction in manual data mapping tasks per month for compliance analysts
- Target: <500ms API latency for payload pre-validation and missing-field flagging
- Target: 100% detection of missing mandatory reporting fields prior to triggering billable submission attempts
**Target Case Studies**:
- Mid-sized FinTech startup: Shifts from manually compiling Suspicious Activity Reports across fragmented databases to executing automated, schema-validated API filings.
- Regional neo-bank: Transitions from frequent filing rejections due to outdated regulatory schemas to maintaining a near-perfect first-pass acceptance rate via version-controlled API endpoints.
- Enterprise payment processor: Deploys the enterprise VPC tier to process high-volume, tokenized transaction logs without exposing unencrypted PII while instantly routing missing-field flags to analysts.
**Testimonial Targets**:
- VP of Compliance: Expresses relief that technical schema changes are programmatically handled ahead of enforcement dates without requiring emergency engineering sprints.
- Lead Data Engineer: Praises the seamless integration with core banking ledgers and the ability to execute schema mapping utilizing solely tokenized or hashed inputs.
- Anti-Money Laundering Analyst: Highlights absolute confidence in the payload pre-validation process instantly catching missing fields before a rejected filing triggers an internal audit.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Regulators reject mapped schemas due to dropped fields during unstructured log parsing, exposing clients to compliance penalties and leaving Regity unpaid under the outcome-based pricing model. · Mitigation Status: unmitigated
- Severity: existential · Description: Ingesting raw transaction logs subjects Regity to strict data residency and PII compliance requirements that carry massive liability in the event of a breach. · Mitigation Status: in-progress
- Severity: high · Description: Jurisdictions deploy unannounced updates to their reporting schemas, temporarily breaking the mapping engine and halting all successful client submissions. · Mitigation Status: in-progress
- Severity: moderate · Description: Clients submit fundamentally flawed transaction data that fails regulatory validation, forcing Regity to absorb compute costs without generating revenue. · Mitigation Status: unmitigated

## Startup Competitors

- [Legacy GRC Platforms](/Competitors/Legacy_GRC_Platforms) — Status Quo
- [External Compliance Consultants](/Competitors/External_Compliance_Consultants) — Status Quo
- [ComplyAdvantage](/Competitors/ComplyAdvantage) — Incumbent
- [Hummingbird RegTech](/Competitors/Hummingbird_RegTech) — Startup
- [Unit21 Platform](/Competitors/Unit21_Platform) — Startup
- [Manual Spreadsheet Tracking](/Competitors/Manual_Spreadsheet_Tracking) — DIY

## Startup Solution Stack

- [Regulatory Submission Service](/Services/Regulatory_Submission_Service) — Service-as-Software
- [Transaction Parsing Agent](/Agents/Transaction_Parsing_Agent) — Agent
- [Jurisdiction Rules Worker](/Agents/Jurisdiction_Rules_Worker) — Agent
- [Telemetry Ingestion API](/Software/Telemetry_Ingestion_API) — Software
- [Schema Validation Engine](/Software/Schema_Validation_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic architect of scalable systems, not a data-cleaning bottleneck
- **Want**: to file accurate jurisdiction-specific regulatory reports directly from raw transaction logs
- **Identity**: the compliance lead at a high-growth fintech or neobank
**Plan**:
- Step: Submit logs · Detail: Pipe your raw, unstructured transaction data or tokenized payloads into our developer-native API endpoints.
- Step: Review mapping · Detail: Check the pre-validated payload for missing-field flags before the report is finalized for the regulator.
- Step: Approve filing · Detail: Trigger the submission once the schema is valid and pay only for successful jurisdictional reports.
**Guide**:
- **Empathy**: First-pass acceptance rates are won in the technical mapping phase — but most legacy GRC tools leave that mapping to manual spreadsheets.
**Problem**:
- **Villain**: legacy GRC friction
- **External**: Reporting teams waste forty hours monthly manually reformatting raw bank ledgers into complex STR and SAR schemas for regulators.
- **Internal**: You feel like a glorified data-entry clerk stuck between rigid regulators and messy engineering logs.
- **Philosophical**: Every compliance team deserves technical precision — not the burden of manual schema reconciliation.
**Success**: Regulatory reports reach jurisdictions with a 99.9% first-pass acceptance rate while eliminating the need for manual data cleaning.
**One Liner**: Manual data mapping costs compliance teams forty hours of productivity. Regity automates jurisdiction-specific reporting so teams file accurate reports directly from raw logs.
**Positioning**:
- **So That**: file valid jurisdictional reports directly from raw transaction data
- **Unlike**: legacy GRC platforms and consultants
- **For Whom**: compliance leads at neobanks and fintechs
- **Category**: API-first regulatory reporting for fintechs
**Call To Action**:
- **Direct**: Submit first report
- **Transitional**: View technical schema documentation
**Failure Stakes**:
- Rejected regulatory filings
- Forty hours of monthly manual mapping
- Fines for late submissions
**Transformation**:
- **To**: free to lead institutional risk strategy, no longer stuck doing the drudgery
- **From**: a compliance analyst trapped in Excel mapping
**Controlling Idea**: Regulatory reporting should be a programmatic outcome of clean data, not manual labor.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Manual data mapping costs compliance teams forty hours of productivity. Regity automates jurisdiction-specific reporting so teams file accurate reports directly from raw logs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 9df9ad5745eff85e

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: API-first regulatory reporting for fintechs for compliance leads at neobanks and fintechs. Unlike legacy GRC platforms and consultants — file valid jurisdictional reports directly from raw transaction data.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 173a138285f4e73a

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Reporting teams waste forty hours monthly manually reformatting raw bank ledgers into complex STR and SAR schemas for regulators.
Solution: Manual data mapping costs compliance teams forty hours of productivity. Regity automates jurisdiction-specific reporting so teams file accurate reports directly from raw logs.
Customer: compliance leads at neobanks and fintechs
Unlike: legacy GRC platforms and consultants
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: f39e3dc6e35390bb

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

**Pain**: Reporting teams waste forty hours monthly manually reformatting raw bank ledgers into complex STR and SAR schemas for regulators.
**Metrics**: Target: Regulatory reports reach jurisdictions with a 99.9% first-pass acceptance rate while eliminating the need for manual data cleaning.
**Rendered**: Pain: Reporting teams waste forty hours monthly manually reformatting raw bank ledgers into complex STR and SAR schemas for regulators.
Economic buyer: FinTech Engineering Team
Metrics: Target: Regulatory reports reach jurisdictions with a 99.9% first-pass acceptance rate while eliminating the need for manual data cleaning.
Competition: legacy GRC platforms and consultants
**Mechanism**: spine-derived-v1
**Competition**: legacy GRC platforms and consultants
**Economic Buyer**: FinTech Engineering Team
**Vocab Fingerprint**: 99f097e353fc834b

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: API-first regulatory reporting for fintechs for compliance leads at neobanks and fintechs

compliance leads at neobanks and fintechs — Reporting teams waste forty hours monthly manually reformatting raw bank ledgers into complex STR and SAR schemas for regulators. Manual data mapping costs compliance teams forty hours of productivity. Regity automates jurisdiction-specific reporting so teams file accurate reports directly from raw logs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 4a14b57824031fb3

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: API-first regulatory reporting for fintechs. Manual data mapping costs compliance teams forty hours of productivity. Regity automates jurisdiction-specific reporting so teams file accurate reports directly from raw logs. Serves compliance leads at neobanks and fintechs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: a59cacc2a7ee3835

## Neighborhood

### Candidate solutions

- [API Integration Drop-Off](/Problems/API_Integration_Drop-Off) — candidate solution for · Problems

### Composed of

- [Regulatory Filing Service](/Services/Regulatory_Filing_Service) — composes · Services
- [Jurisdiction Rules Worker](/Agents/Jurisdiction_Rules_Worker) — composes · Agents
- [Transaction Parsing Agent](/Agents/Transaction_Parsing_Agent) — composes · Agents
- [Telemetry Ingestion API](/Software/Telemetry_Ingestion_API) — composes · Software
- [Schema Validation Engine](/Software/Schema_Validation_Engine) — composes · Software

### What it offers

- [Regity Compliance Mapper](/Services/Regity_Compliance_Mapper) — offers · Services

### Embodies

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

### Competitors

- [External Compliance Consultants](/Competitors/External_Compliance_Consultants) — competes with · Competitors
- [Legacy GRC Platforms](/Competitors/Legacy_GRC_Platforms) — competes with · Competitors
- [Unit21 Platform](/Competitors/Unit21_Platform) — competes with · Competitors
- [Manual Spreadsheet Tracking](/Competitors/Manual_Spreadsheet_Tracking) — competes with · Competitors
- [ComplyAdvantage](/Competitors/ComplyAdvantage) — competes with · Competitors
- [Hummingbird RegTech](/Competitors/Hummingbird_RegTech) — competes with · Competitors

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