Base Layer
base-layer.ai
Actively hiring
Financial AI
Fraud Detection
RegTech, AML & Compliance
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Hiring now
11
+4 posted in 30 days
Momentum
15/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Mar 10
Launched on Hacker News Show HN: Base Layer – Open-source behavioral compression from any text
Tractionpublic signals, read monthly
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AI-powered technology to prevent lending fraud, detect and reduce operational costs.
Overview
Headquartered in New York City, New York, Base Layer is an artificial intelligence financial technology company specializing in automated business verification and risk management. The company offers a modular data platform that unifies business identity, credit intelligence, and fraud prevention workflows for banks, lenders, and fintech enterprises. By replacing fragmented manual checks with automated decisioning and real-time risk intelligence, it enables financial institutions to prevent B2B fraud while accelerating customer onboarding.
News
Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
A study of how a structured Behavioral Specification of how a person reasons changes what AI memory systems can do. 14 historical autobiographies, 5-judge calibrated panel, 5 memory systems compared. Preprint.
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Report
These Are the Best Base Layer Deals for Skiing, Snowboarding, and Everyday Winter Wear
Base layers from top brands like Under Armour, Patagonia, Adidas, and Smartwool are on sale now to help you build your winter wardrobe.
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Report
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By The Numbers: What's the Best Base Layer Fabric? Wool vs. Alpaca vs. Polyester
We compare merino, merino blends, alpaca, and polyester fabrics as part of a framework to help hikers choose the best base layer.
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REVIEW KLIM Tactical Armored Base Layer
The KLIM Tactical Base Layer is a must-have for every rider's kit. Read our hands-on review to learn about the design, comfort, and protection this under layer offers.
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Report
The Base Layer for Success
Mastering the foundational factors to build a successful business.
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Tech stack
Technologies named in job postings at Base Layer over the last 12 months, by layer, with the share of postings for each.
Technologies in use
29
Postings analysed
24
Stack modernity
75/100AI adopter
Languages
Python46%
SQL17%
JavaScript8%
TypeScript4%
Frameworks & libraries
FastAPI17%
SQLAlchemy8%
SQLModel8%
Databases
PostgreSQL17%
BigQuery4%
Google BigQuery4%
Snowflake4%
Cloud & platforms
Google Cloud Run21%
GCP21%
LangSmith13%
Cloudflare8%
AI & ML
LLM17%
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Full Base Layer tech stack
29 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
70/100
Growing
Open positions
11
3 opened / 4 closed in 30 days
Median time-to-fill
30 days
faster than 42% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
26% ▲
AI/ML
22% ▼
Backend
13% ▼
Product
9% ▼
Marketing
9% ▲
Data Science
4% ▲
Activity Timeline
Added Google Workspace to stack
Oct 2026
Added Gmail to stack
Oct 2026
Added Google Ads to stack
Oct 2026
Added QuickBooks to stack
Sep 2026
Added Microsoft Excel to stack
Sep 2026
Added Metabase to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added Spark to stack
Sep 2026
Added SOC 2 to stack
Sep 2026
Added Snowflake to stack
Sep 2026
Added Google BigQuery to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
New York
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Headquarters
Builds here
Office with open vacancies
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New York
United States
HQ
New York
8 open roles 12 posted in 90 days
hires for Sales, Administrative, Marketing
San Francisco
United States
Engineering / R&D
San Francisco
3 open roles 11 posted in 90 days 67% engineering
hires for AI/ML, Backend, Product
Jobs
≈ $157k – $286k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
Embeddings
AI Agents
Apply
≈ $83k – $189k per year (Estimated) • In office • 2+ years exp • New York
Python
JavaScript
AI Agents
Apply
≈ $158k – $288k per year (Estimated) • Hybrid • San Francisco
Python
SQL
FastAPI
Databases
PostgreSQL
AI/ML
AI Agents
DevOps
GCP
Google Cloud Run
Apply
≈ $160k – $305k per year (Estimated) • Hybrid • Contractor • San Francisco
Python
SQLAlchemy
FastAPI
SQLModel
Databases
PostgreSQL
AI/ML
AI Agents
DevOps
GCP
Cloudflare
Google Cloud Run
Fastly
Apply