Universal Enrichment Pipeline

The Universal Enrichment Pipeline

Ingest from anywhere. Enrich with AlphaLens Data, Web Agents, and Custom Formulas. Output trusted intelligence to your exact format.

Layer 1: AlphaLens Data

Enriching Firmographics & Growth Signals

Layer 2: Web Agents

Reading Pricing & Compliance Pages

Layer 3: Formulas

Calculating Confidence & Match Score

The Challenge

Why traditional methods fall short

Manual Screening

Spending hours manually visiting websites to check pricing, compliance, or feature sets.

Data Hallucinations

AI tools that invent facts or rely on training data from 2021 instead of reading the live web.

Fragmented Context

Juggling spreadsheets, CRMs, and browser tabs to piece together a complete picture of a company.

Step 1: AlphaLens Data

Start with the highest quality data.

Go beyond basic firmographics. Access a deep reservoir of private market data to enrich every company profile in your pipeline before you even start your analysis.

Firmographic Data

Essential company identifiers and structural information.

A
  • Legal Name
  • Year Founded
  • Domain
  • Company Description
  • Social Links

Address Data

Precise HQ locations and branch office mapping globally.

  • Headquarters
  • Branch Offices
  • Geospatial Mapping

Funding Data

Complete capital history from seed to IPO.

Seed
A
$40M
  • Funding Dates
  • Deal Stage
  • Round Amounts
  • Lead Investors

Growth Time Series

Real-time time series data tracking company momentum.

+124%
  • Headcount Growth
  • Website Traffic
  • Job Postings
  • Social Following

Product Data

Deep understanding of what they build and who buys it.

SaaSB2BEnterpriseCloud
  • Product Arrays
  • Target Audience
  • Tech Stack
  • Use Cases

People Data

Decision makers and leadership team identification.

JD
VP
Key Decision Makers
  • CXO & Founder Class
  • Contact Details
  • Board Members
  • Experience
Step 2: Web Agents

Intelligent Enrichment Layers

We don't just look up data. We read documents, visit websites, and apply your custom scoring logic to build a complete picture.

Developers have staging servers. This is yours.
+2
Company
+ Add Column
A
Acme Corp
G
Globex Systems
S
Soylent Data
I
Initech AI
M
Massive Dynamic
C
Cyberdyne
H
Hooli
P
Pied Piper
Agent Activity Log Idle
New Agent Column
Configure Enrichment Logic
GPT-4o
#CONTEXT# You are an expert analyst evaluating how a given company aligns with our internal strategy of "becoming the universal adapter for the web's data." #OBJECTIVE# Analyze the company and explain how it aligns with our focus. #INSTRUCTIONS# 1. Use provided fields: Name, Description, Stage, Website. 2. Extract concrete indicators of alignment. 3. Provide a concise assessment.
Analysis Complete
Acme Corp • Mission Alignment
Sources [2]
TReasoning

Acme Corp actively targets API integration and legacy infrastructure modernization. Based on the "Universal Adapter" thesis, their core product offering directly addresses the interoperability gap.

#Alignment Score0.92
Step 3: Formulas

Calculate what matters.

Don't just settle for raw data. Create custom computed columns to derive the metrics that actually drive your investment decisions.

  • 1
    Mathematical Operations

    Perform calculations across any number field (e.g., Revenue / Headcount).

  • 2
    Logic & Scoring

    Create weighted scores based on multiple criteria to rank your pipeline.

Funding
Employees
Capital Efficiency
$24M
120
$200k / emp
$5M
10
$500k / emp
Formula Editor
fx =
[Total Funding]/[Headcount]
Step 4: Automated Screening

Filter noise instantly.

Define your investment thesis—sectors, stages, geographies, business models—and let the system score every inbound opportunity automatically.

  • Instant "Pass" recommendations for off-thesis deals
  • Customizable scoring weights for different criteria
  • Flag "Must See" deals that match high-priority themes
Revenue
> $5M
Sector
AI Infra
Thesis
92
MATCH
Action
Sync to CRM
const output = {
"company": "StreamLine",
"score": 98,
"pricing_model": {
"value": "$49/seat",
"confidence": 0.99,
"source": "streamline.io/pricing"
}
}
Step 5: Trusted Outputs

Trust, but verify.
With confidence scores.

AI can hallucinate. That's why every data point returned by AlphaLens comes with a Confidence Score and a direct Citation link to the source.

JSON / CSV
Export to any format
API Ready
Sync to your CRM
Final Step

Enriched data is only valuable if it reaches your team.

Push your screened and enriched deals directly into your CRM. No manual data entry, no copy-pasting, no stale records.

Salesforce & HubSpot

Native two-way sync with your existing CRM infrastructure.

Affinity & Attio

Purpose-built integrations for relationship-focused CRMs.

Conditional Logic

Only sync deals that pass your specific criteria and scoring thresholds.