# Basisaggeneration

*/Startups/Basisaggeneration*

## Startup Overview

This system extracts historical cost-basis data directly from unstructured brokerage statements and financial PDFs. It reads multi-page, non-standardized documents to identify trade dates, acquisition costs, corporate actions, and dividend reinvestments. The engine parses raw text and dense tabular layouts, converting static pages into structured, calculation-ready financial records.

Wealth managers and tax professionals face significant friction when reconstructing cost-basis histories for transferred assets or inherited portfolios. Because legacy brokerages issue non-standardized, often poorly scanned PDFs, practitioners spend hours keying in historical transactions to calculate capital gains. This manual effort introduces data entry errors and delays the production of accurate tax schedules.

Unlike manual data entry or legacy reconciliation tools like NetBasis Software and Scivantage Maxit, this solution operates completely autonomously. The engine processes unstructured documents end-to-end without requiring human-in-the-loop review or manual field mapping. The commercial model replaces rigid software subscriptions with outcome-based pricing, charging solely per verified tax schedule produced.

## Startup Founding Hypothesis

**Approach**: that extracts historical cost-basis data from unstructured brokerage PDFs
**Competitors**:
- [Manual Data Entry](/Competitors/Manual_Data_Entry)
- [NetBasis Software](/Competitors/NetBasis_Software)
- [Scivantage Maxit](/Competitors/Scivantage_Maxit)
**Differentiator2x2**: completely autonomous and outcome-priced per verified tax schedule

## Startup Solution Coordinate

**Solution**: [Basis Extraction Service](/Services/Basis_Extraction_Service)

## Startup Position2x2

```mermaid
quadrantChart
    title Positioning: Cost-Basis Extraction
    x-axis "Manual Extraction" --> "Completely Autonomous"
    y-axis "Time/Seat Priced" --> "Outcome-Priced Per Schedule"
    quadrant-1 "Next-Gen Autonomous"
    quadrant-2 "Niche Services"
    quadrant-3 "Legacy Services"
    quadrant-4 "Traditional Software"
    "Manual Data Entry": [0.10, 0.15]
    "NetBasis Software": [0.35, 0.25]
    "Scivantage Maxit": [0.65, 0.30]
    "Basisaggeneration": [0.90, 0.85]
```

## Startup Offer

**Proof**:
- Targeting CPA firms: Aim to reduce a 3-hour manual PDF transcription to a 5-minute autonomous extraction.
- Targeting estate attorneys: Aim to achieve 100% lot matching for inherited portfolios with decades of fragmented history.
- Targeting retail tax filers: Aim to eliminate manual data entry errors on IRS Form 8949.
**Tiers**:
- Name: Standard Extraction · Price: ~$25–$45 per verified schedule · Inclusions: Processing of up to 50 pages of unstructured brokerage PDFs from a single institution, delivering one balanced tax schedule.
- Name: Complex Estate Reconciliation · Price: ~$90–$150 per verified schedule · Inclusions: Unlimited pages spanning multiple legacy brokerages, designed to account for historical stock splits and corporate actions for estate executors.
- Name: High-Volume Partner API · Price: ~$12–$25 per verified schedule · Inclusions: Direct API endpoint access intended for tax preparation firms, requiring a minimum monthly volume commitment.
**Guarantee**: Delivers mathematically balanced, audit-ready outputs; if a generated schedule contains a calculation error or fails to match covered lots, the schedule fee is fully refunded.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Legacy brokerage scans from the 1990s are often illegible. Rebuttal: Designed to utilize multi-modal OCR specifically trained on degraded financial documents to reconstruct obscured text.
- Objection: Unstructured PDFs don't account for historical stock splits. Rebuttal: Intended to automatically cross-reference extracted transaction dates with a historical corporate action database.
- Objection: We cannot upload sensitive client account numbers to a new AI tool. Rebuttal: Built as a zero-retention pipeline designed to redact PII and purge files immediately after the schedule is generated.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Forensic and restrained, emphasizing absolute numerical certainty without marketing jargon.
**Tagline**: Extract verified cost basis directly from unstructured brokerage statements.
**Icon Concept**: Ledger
**Palette Intent**: institutional-cool
**Visual Identity**: The visual identity relies on crisp serif typography and a palette of slate and audit-pen red, echoing the precision of archival financial records.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Startup → Tax Advisory Firm → Retail Investor
**Gtm Motion**: Acquires tax practices through self-serve, pay-per-schedule trials where junior accountants upload their most complex client PDFs to save immediate hours. Expands contract value by establishing firm-wide mandates for all Schedule D and Form 8949 filings once extraction accuracy is proven on the initial edge cases.
**Agent Channel**: Designed to register its PDF-to-structured-data endpoint in the LangChain tool catalog and OpenAI schema registries, enabling autonomous tax-preparation agents to route unstructured financial documents to the API and retrieve verified tax schedules.
**Primary Channel**: High-intent search capture for queries like 'brokerage statement PDF to CSV' or 'automated Form 8949 preparation', alongside targeted placement in professional tax software forums and CPA practice management directories.

## Startup Customer Journey

```mermaid
flowchart LR; A[Search Engine] --> B[Self-Serve Portal]; B --> C[Unstructured PDF]; C --> D[Verified Tax Schedule]; D --> E[Usage Meter]; E --> F[Partner API Endpoint]; F --> G[Tax Advisory Firm]; G --> H[CPA Practice Directory];
```

## Startup Proof Points

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

**Pilot Goals**:
- A 30-day deployment with a regional CPA firm processing up to 200 unstructured brokerage PDFs to validate mathematical balancing and zero manual data entry errors.
- A two-week API integration test with a high-volume tax preparation partner to prove endpoint stability and immediate post-processing file purges.
**Target Metrics**:
- Aim: 5 minutes total processing time per 50-page unstructured brokerage PDF
- Target: 100 percent lot matching for inherited portfolios with historical stock splits
- Target: Zero data retention post-generation to validate the PII security guarantee
- Target: Zero manual data entry errors on generated IRS Form 8949 outputs
**Target Case Studies**:
- Targeting a regional CPA firm to demonstrate a reduction in manual brokerage PDF transcription from 3 hours per client to a 5-minute autonomous extraction yielding a mathematically balanced schedule.
- Targeting an estate attorney handling legacy trusts to prove the platform cross-references decades of fragmented history and corporate actions to achieve complete lot matching.
- Targeting a retail tax software provider to validate high-volume API endpoint ingestion of unstructured tax documents with automated PII redaction.
**Testimonial Targets**:
- Tax Partner at a mid-sized accounting firm expressing relief that mathematically balanced, audit-ready Form 8949s are generated without assigning junior staff to manual data entry.
- Estate Executor highlighting confidence in the system's ability to read degraded 1990s legacy brokerage scans and automatically apply historical corporate actions.
- Chief Technology Officer at a tax prep platform praising the direct API integration and the strict zero-retention pipeline that immediately purges sensitive client account numbers.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: The IRS or major accounting firms reject the provenance and auditability of AI-extracted cost-basis data for official tax reporting. · Mitigation Status: unmitigated
- Severity: high · Description: High variability in legacy brokerage statements causes the extraction engine to misread numbers, triggering massive tax liabilities under the outcome-based pricing model. · Mitigation Status: in-progress
- Severity: high · Description: Major brokerages suddenly standardize and expose historical cost-basis data via API, rendering unstructured PDF extraction obsolete. · Mitigation Status: unmitigated
- Severity: moderate · Description: Incumbents like NetBasis acquire native PDF parsing tools and bundle them for free with their existing institutional enterprise contracts. · Mitigation Status: in-progress

## Startup Competitors

- [Manual Data Entry](/Competitors/Manual_Data_Entry) — Status Quo
- [NetBasis Software](/Competitors/NetBasis_Software) — Incumbent
- [Scivantage Maxit](/Competitors/Scivantage_Maxit) — Incumbent
- [GainsKeeper](/Competitors/GainsKeeper) — Legacy Software
- [Standard OCR Tools](/Competitors/Standard_OCR_Tools) — DIY Solution
- [Offshore BPOs](/Competitors/Offshore_BPOs) — Outsourced Labor

## Startup Solution Stack

- [Schedule Delivery Service](/Services/Schedule_Delivery_Service) — Service-as-Software
- [PDF Extraction Agent](/Agents/PDF_Extraction_Agent) — Agent
- [Basis Verification Agent](/Agents/Basis_Verification_Agent) — Agent
- [Brokerage OCR Engine](/Software/Brokerage_OCR_Engine) — Software
- [Historical Pricing API](/Software/Historical_Pricing_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to deliver a mathematically balanced Form 8949 without the liability of manual transcription errors
- **Want**: to recover missing cost-basis data from decades of unstructured paper brokerage statements
- **Identity**: the CPA or estate executor managing inherited brokerage accounts
**Plan**:
- Step: Upload Statements · Detail: Provide the unstructured brokerage PDFs or degraded legacy scans from the estate file.
- Step: Review Schedule · Detail: Verify the balanced tax schedule where every lot is matched and corporate actions are applied.
- Step: Export Form · Detail: Download the audit-ready data directly into your tax preparation software or Form 8949.
**Guide**:
- **Empathy**: Audit-ready records are won in the fine print of legacy scans — but illegible 8mm film and fragmented corporate actions usually force manual workarounds.
**Problem**:
- **Villain**: manual data entry
- **External**: Reconstructing an estate's tax history requires hours of typing data from grainy PDFs into NetBasis or Excel.
- **Internal**: You feel like a low-level clerk while billing for high-stakes forensic accounting work.
- **Philosophical**: Forensic precision belongs in client strategy, not in typing numbers from 1990s scans.
**Success**: You deliver a balanced, audit-ready cost basis report in five minutes, regardless of statement age or complexity.
**One Liner**: Instead of manually typing data from legacy brokerage statements, Basisaggeneration extracts verified cost-basis history directly from unstructured PDFs — delivering audit-ready tax schedules in minutes.
**Positioning**:
- **So That**: convert unstructured brokerage PDFs into balanced tax schedules instantly
- **Unlike**: Manual data entry or NetBasis
- **For Whom**: CPAs and estate executors
- **Category**: Autonomous Cost Basis Extraction Service
**Call To Action**:
- **Direct**: Upload a brokerage PDF
- **Transitional**: View a sample verified schedule
**Failure Stakes**:
- IRS audit flags for unmatched lots
- Inaccurate tax liabilities for beneficiaries
- Unbillable hours spent on transcription
**Transformation**:
- **To**: the executor who reconstructs decades of financial history instantly
- **From**: a tax pro buried in spreadsheet transcription
**Controlling Idea**: Historical cost-basis data should be extracted autonomously, not transcribed manually.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of manually typing data from legacy brokerage statements, Basisaggeneration extracts verified cost-basis history directly from unstructured PDFs — delivering audit-ready tax schedules in minutes.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 20ce0dc172603328

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Autonomous Cost Basis Extraction Service for CPAs and estate executors. Unlike Manual data entry or NetBasis — convert unstructured brokerage PDFs into balanced tax schedules instantly.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 07f3302d768e4263

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Reconstructing an estate's tax history requires hours of typing data from grainy PDFs into NetBasis or Excel.
Solution: Instead of manually typing data from legacy brokerage statements, Basisaggeneration extracts verified cost-basis history directly from unstructured PDFs — delivering audit-ready tax schedules in minutes.
Customer: CPAs and estate executors
Unlike: Manual data entry or NetBasis
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 57362106ffe24c4e

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

**Pain**: Reconstructing an estate's tax history requires hours of typing data from grainy PDFs into NetBasis or Excel.
**Metrics**: Target: You deliver a balanced, audit-ready cost basis report in five minutes, regardless of statement age or complexity.
**Rendered**: Pain: Reconstructing an estate's tax history requires hours of typing data from grainy PDFs into NetBasis or Excel.
Economic buyer: Tax Advisory Firm
Metrics: Target: You deliver a balanced, audit-ready cost basis report in five minutes, regardless of statement age or complexity.
Competition: Manual data entry or NetBasis
**Mechanism**: spine-derived-v1
**Competition**: Manual data entry or NetBasis
**Economic Buyer**: Tax Advisory Firm
**Vocab Fingerprint**: e21ea1ee4fabdd80

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Autonomous Cost Basis Extraction Service for CPAs and estate executors

CPAs and estate executors — Reconstructing an estate's tax history requires hours of typing data from grainy PDFs into NetBasis or Excel. Instead of manually typing data from legacy brokerage statements, Basisaggeneration extracts verified cost-basis history directly from unstructured PDFs — delivering audit-ready tax schedules in minutes.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: bc7445ab0165a8d9

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Autonomous Cost Basis Extraction Service. Instead of manually typing data from legacy brokerage statements, Basisaggeneration extracts verified cost-basis history directly from unstructured PDFs — delivering audit-ready tax schedules in minutes. Serves CPAs and estate executors.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 217e000267454d23

## Neighborhood

### Candidate solutions

- [Calculate Grower Liquidations](/Problems/Calculate_Grower_Liquidations) — candidate solution for · Problems

### What it offers

- [Basis Extraction Service](/Services/Basis_Extraction_Service) — offers · Services

### Composed of

- [Historical Pricing API](/Software/Historical_Pricing_API) — composes · Software
- [Schedule Delivery Service](/Services/Schedule_Delivery_Service) — composes · Services
- [PDF Extraction Agent](/Agents/PDF_Extraction_Agent) — composes · Agents
- [Basis Verification Agent](/Agents/Basis_Verification_Agent) — composes · Agents
- [Brokerage OCR Engine](/Software/Brokerage_OCR_Engine) — composes · Software

### Embodies

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

### Competitors

- [GainsKeeper](/Competitors/GainsKeeper) — competes with · Competitors
- [Standard OCR Tools](/Competitors/Standard_OCR_Tools) — competes with · Competitors
- [Manual Data Entry](/Competitors/Manual_Data_Entry) — competes with · Competitors
- [NetBasis Software](/Competitors/NetBasis_Software) — competes with · Competitors
- [Offshore BPOs](/Competitors/Offshore_BPOs) — competes with · Competitors
- [Scivantage Maxit](/Competitors/Scivantage_Maxit) — competes with · Competitors

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