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Laurence

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uuid00n5xw6

Namestring
Laurence
Legal namestring
Laurence AI, Inc.
Websiteurl
laurence.com
Company typeenum
Private
Founded yearint
2025
Descriptiontext

Laurence AI, Inc. is a New York-based, venture-backed software company founded in 2025 that operates an AI platform for automated Amazon PPC (pay-per-click) advertising optimization. The platform autonomously manages bid adjustments across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP on an hourly cadence, using hierarchical conversion-rate probability-distribution models that compute profit-maximizing bids against true margins and customer lifetime value rather than target ACOS or TACOS thresholds. The system scales to 10,000+ keywords per account without sacrificing precision and includes complementary modules for listing optimization, backend SEO, inventory management, and competitor analysis, plus an internal Knowledge Flywheel that synthesizes operational context from Slack and campaign data into a queryable wiki.

The product surface extends beyond bid management to include Ask Laurence, a conversational AI reporting agent grounded in live Amazon Ads and Seller Central data with scheduled Automations and multiplayer collaboration, and Laurence MCP, a Model Context Protocol server that exposes Amazon marketing data to Claude Code, Cursor, and Codex IDEs. Laurence sells via a founder-led direct-sales motion with a 30-day risk-free pilot preceding paid subscription, targeting enterprise brands ($20M+ revenue), scaling brands ($2-20M), private-label FBA operators, and agencies. Pricing is quote-based and scales with monthly ad spend, catalog size, and marketplace count. Named customers include Pit Viper, Finn, Flings, Fi, Naturealm, and PopWtr, with documented outcomes including 4x revenue growth held at ~14% TACoS and ROAS improvements from 2.2x to 5.8x.

The company raised a $5.8 million seed round in June 2026, led by Susa Ventures and Box Group with participation from Y Combinator (Winter 2026 batch), Jump Trading, SV Angel, Scribble Ventures, Roar Ventures, and angels from OpenAI and Amazon. The five-person founding team is led by Matthew Chen (CEO, ex-Google and Meta) and Leo Gierhake (CTO, ex-Jump Trading), with stated intent to expand the platform beyond Amazon to ChatGPT, Google, Meta, TikTok, and Walmart ad surfaces.

Short descriptiontext

Laurence is an AI platform that autonomously optimizes Amazon PPC advertising bids hourly using statistical conversion-rate models, targeting enterprise and scaling Amazon brands through a founder-led, pilot-to-paid subscription sales motion.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
Amazon PPC automation, bid optimization software, e-commerce advertising platform, ad spend management, advertising analytics software
Industry2 codes
1Demand-Side Platforms (DSP)
CodeBPAMALABPrimaryYes
2Performance Marketing Automation & Bid Management Services
CodeMPAAACAMPrimaryNo
NAICS code3 codes
  • Advertising Agencies541810
  • Software Publishers513210
  • Media Buying Agencies541830
SIC code2 codes
  • Services-Advertising7310
  • Services-Prepackaged Software7372
Product category
Amazon Advertising Automation
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Amazon PPC Automation SaaS
TypeSubscription Recurring
Description

Subscription-based pricing model where fees scale with monthly Amazon ad sales volume managed, catalog size/complexity, and number of marketplaces/brands. All engagements include hourly bid optimization, keyword management, profitability-based bidding, analytics dashboards, AI reporting agent, and founder-level support. 30-day pilot period precedes paid subscription.

laurence.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Pricing details3 tiers
1Emerging brand: Under $20K/mo ad spend
ModelSubscriptionBilling cadenceMonthly
Notes

Single brand with structured PPC in place. 30-day pilot shows lift before commitment.

laurence.com
2Scaling brand: $20K-$100K/mo ad spend
ModelSubscriptionBilling cadenceMonthly
Notes

Growing catalog where hourly margin-aware bidding compounds into monthly savings and sales.

laurence.com
3Enterprise & agencies: $100K+/mo or multiple brands
ModelSubscriptionBilling cadenceMonthly
Notes

Multi-brand or multi-marketplace operations requiring scale, traceability, and dedicated support.

laurence.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Laurence provides an AI-powered Amazon PPC automation platform that autonomously manages hourly bid optimization across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP using proprietary statistical bid-to-conversion models. The platform targets true net margin and LTV rather than target ACOS/TACOS, scales to 10,000+ keywords per account, and delivers full visibility into every bid decision with conversion estimates and confidence levels. Customers access the service via a SaaS dashboard after a 30-day pilot, with subscription pricing scaled to ad sales volume, catalog size, and marketplace complexity.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 15-40% improvement in total net profit after margin and ad spend within one month
+3 more records
Product overview1 text field

Laurence is a single unified AI platform for automated Amazon PPC advertising, encompassing the core Laurence platform plus multiple integrated modules and features. The core platform (Laurence) autonomously manages hourly bid optimization across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP using statistical bid-to-conversion models. It is complemented by: Ask Laurence — an AI reporting agent for conversational analytics with Automations scheduling and Multiplayer collaboration; Laurence MCP — a Model Context Protocol server bringing Amazon Ads data into Claude Code, Cursor, and Codex; and platform modules for listing optimization, inventory management, and competitor analysis. The Knowledge Flywheel is an internal AI knowledge system that synthesizes operational context for daily diagnosis agents and Ask Laurence. The entire stack is delivered as a fully hands-off SaaS targeting Amazon sellers and agencies at all scales.

Product and service3 records
1Laurence
CategoryCore Amazon PPC Automation Platform
Description

Core AI platform that autonomously manages Amazon PPC advertising for brands, sellers, and agencies. Delivered as a SaaS with hourly bid updates across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP, using statistical bid-to-conversion models that target true net margin and LTV rather than target ACOS/TACOS. Scales to 10,000+ keywords with explainable, auditable decisions, and is sold via quote-based monthly subscriptions following a 30-day pilot.

2Ask Laurence
CategoryAI Reporting Agent (add-on to Laurence platform)
Description

Conversational AI reporting and analytics agent accessible within the Laurence dashboard. Answers plain-English questions grounded in live Amazon Ads and Seller Central data, and supports Automations (scheduled recurring reports across stores), Multiplayer collaboration (shared threads), Parallel streams, and Image uploads for visual context alongside live data.

3Laurence MCP
CategoryDeveloper/IDE Integration (add-on to Laurence platform)
Description

Model Context Protocol server that exposes read-only tools for querying Laurence's Amazon Ads data (campaigns, keywords, bids, AMS events, search terms) to external AI coding assistants including Claude Code, Cursor, and Codex. Authentication uses standard browser OAuth via the user's Laurence account, scoped to stores the user belongs to.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCore_InfrastructureTypeTechnology or Integration
Description

Cloud infrastructure provider for Laurence's backend services. Data hosted on AWS in the United States.

Strategic tierCore_InfrastructureTypeTechnology or Integration
Description

Website hosting provider for laurence.com.

Strategic tierCore_InfrastructureTypeTechnology or Integration
Description

PostgreSQL database provider for state and analytics stores.

Strategic tierCore_InfrastructureTypeTechnology or Integration
Description

Analytics database for storing and querying Amazon Marketing Stream data and campaign metrics.

Strategic tierCore_InfrastructureTypeTechnology or Integration
Description

Redis caching provider for the platform.

Strategic tierMajorTypeTechnology or Integration
Description

Laurence MCP server enables Claude Code users to query Amazon Ads data directly within their IDE workflow.

Strategic tierMajorTypeTechnology or Integration
Description

Laurence MCP server enables Cursor users to query Amazon Ads data directly within their IDE workflow.

Strategic tierMajorTypeTechnology or Integration
Description

Laurence MCP server enables Codex users to query Amazon Ads data directly within their IDE workflow.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Tinuiti is a large independent performance marketing agency with a strong Amazon and retail media practice offering managed PPC alongside proprietary technology. It competes with Laurence on agency-led Amazon optimization, especially for enterprise brands.

TypeDirect peer
Description

Teikametrics combines AI-powered bidding and marketplace analytics for Amazon sellers and brands. Its Flywheel platform directly competes with Laurence on profit-maximizing PPC automation for brands and agencies.

TypeDirect peer
Description

Quartile is an AI-powered Amazon and retail media advertising platform focused on cross-channel bid optimization, keyword harvesting, and performance reporting. It targets similar mid-market and enterprise Amazon sellers as Laurence.

TypeDirect peer
Description

Perpetua provides AI-driven bid and budget optimization for Amazon, Walmart, Instacart, and other retail media networks, with deep analytics for performance marketers. It competes head-to-head with Laurence on automated bid optimization for scaling and enterprise Amazon brands.

TypeDirect peer
Description

Pacvue is a leading enterprise SaaS platform for Amazon and Walmart advertising, offering automated bid management, retail media optimization, and analytics for brands and agencies. It is the closest direct competitor to Laurence's core PPC automation offering across Sponsored Products, Brands, and Display.

TypeBroad incumbent
Description

Helium 10 is a broad Amazon seller suite covering keyword research, listing optimization, and PPC management (Adtomic). It overlaps with Laurence's listing, keyword, and bid modules, but operates as a horizontal toolkit rather than a profit-maximizing PPC specialist.

TypeEmerging player
Description

SellerApp offers Amazon PPC automation, analytics, and product intelligence tools aimed at scaling and mid-market brands. It overlaps with Laurence's bid optimization and keyword discovery but typically with less statistical depth.

TypeBroad incumbent
Description

Jungle Scout is an established Amazon seller platform spanning product research, launch, and advertising tools. Its PPC and keyword tooling places it as a broader incumbent adjacent to Laurence's automation stack.

TypeBroad incumbent
Description

Flywheel (formerly Mile Zero) is an Omnicom-owned Amazon and retail media agency that combines managed services with proprietary bidding and analytics software. It competes with Laurence on enterprise Amazon PPC outcomes.

TypeEmerging player
Description

Sellerboard provides Amazon seller profitability analytics and lighter PPC automation for SMB and scaling brands. It is an emerging player with partial overlap on Laurence's profitability-based bidding thesis.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration6 records

Each record includes

Title, Type, Description, Source

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors8 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Laurence

Amazon Advertising Automationlaurence.com

Laurence is an AI platform that autonomously optimizes Amazon PPC advertising bids hourly using statistical conversion-rate models, targeting enterprise and scaling Amazon brands through a founder-led, pilot-to-paid subscription sales motion.

What Laurence does

Laurence AI, Inc. is a New York-based, venture-backed software company founded in 2025 that operates an AI platform for automated Amazon PPC (pay-per-click) advertising optimization. The platform autonomously manages bid adjustments across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP on an hourly cadence, using hierarchical conversion-rate probability-distribution models that compute profit-maximizing bids against true margins and customer lifetime value rather than target ACOS or TACOS thresholds. The system scales to 10,000+ keywords per account without sacrificing precision and includes complementary modules for listing optimization, backend SEO, inventory management, and competitor analysis, plus an internal Knowledge Flywheel that synthesizes operational context from Slack and campaign data into a queryable wiki.

The product surface extends beyond bid management to include Ask Laurence, a conversational AI reporting agent grounded in live Amazon Ads and Seller Central data with scheduled Automations and multiplayer collaboration, and Laurence MCP, a Model Context Protocol server that exposes Amazon marketing data to Claude Code, Cursor, and Codex IDEs. Laurence sells via a founder-led direct-sales motion with a 30-day risk-free pilot preceding paid subscription, targeting enterprise brands ($20M+ revenue), scaling brands ($2-20M), private-label FBA operators, and agencies. Pricing is quote-based and scales with monthly ad spend, catalog size, and marketplace count. Named customers include Pit Viper, Finn, Flings, Fi, Naturealm, and PopWtr, with documented outcomes including 4x revenue growth held at ~14% TACoS and ROAS improvements from 2.2x to 5.8x.

The company raised a $5.8 million seed round in June 2026, led by Susa Ventures and Box Group with participation from Y Combinator (Winter 2026 batch), Jump Trading, SV Angel, Scribble Ventures, Roar Ventures, and angels from OpenAI and Amazon. The five-person founding team is led by Matthew Chen (CEO, ex-Google and Meta) and Leo Gierhake (CTO, ex-Jump Trading), with stated intent to expand the platform beyond Amazon to ChatGPT, Google, Meta, TikTok, and Walmart ad surfaces.

Laurence firmographics

Firmographics
Name
Laurence
Legal name
Laurence AI, Inc.
Website
https://laurence.com
Company type
Private
Founded year
2025
Operating status
Operating
Headcount range
1–10 employees
Short description
Laurence is an AI platform that autonomously optimizes Amazon PPC advertising bids hourly using statistical conversion-rate models, targeting enterprise and scaling Amazon brands through a founder-led, pilot-to-paid subscription sales motion.
Ownership category
akta.pro rank

Laurence industry classification

Industry
Product category
Amazon Advertising Automation
NAICS
Advertising Agencies (541810), Software Publishers (513210), Media Buying Agencies (541830)
SIC
Services-Advertising (7310), Services-Prepackaged Software (7372)
akta.pro primary industry
Demand-Side Platforms (DSP) (BPAMALAB)
akta.pro secondary industry
Performance Marketing Automation & Bid Management Services (MPAAACAM)

Keywords

  • Amazon PPC automation
  • Bid optimization software
  • E-commerce advertising platform
  • Ad spend management
  • Advertising analytics software

Where Laurence is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Markets served

Laurence business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Amazon PPC Automation SaaS: Subscription-based pricing model where fees scale with monthly Amazon ad sales volume managed, catalog size/complexity, and number of marketplaces/brands. All engagements include hourly bid optimization, keyword management, profitability-based bidding, analytics dashboards, AI reporting agent, and founder-level support. 30-day pilot period precedes paid subscription.

Pricing tiers

ModelBillingPrice
SubscriptionMonthlyEmerging brand: Under $20K/mo ad spend
SubscriptionMonthlyScaling brand: $20K-$100K/mo ad spend
SubscriptionMonthlyEnterprise & agencies: $100K+/mo or multiple brands

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Laurence product offering

Product offering

Core offering

Laurence provides an AI-powered Amazon PPC automation platform that autonomously manages hourly bid optimization across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP using proprietary statistical bid-to-conversion models. The platform targets true net margin and LTV rather than target ACOS/TACOS, scales to 10,000+ keywords per account, and delivers full visibility into every bid decision with conversion estimates and confidence levels. Customers access the service via a SaaS dashboard after a 30-day pilot, with subscription pricing scaled to ad sales volume, catalog size, and marketplace complexity.

Product overview

Laurence is a single unified AI platform for automated Amazon PPC advertising, encompassing the core Laurence platform plus multiple integrated modules and features. The core platform (Laurence) autonomously manages hourly bid optimization across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP using statistical bid-to-conversion models. It is complemented by: Ask Laurence — an AI reporting agent for conversational analytics with Automations scheduling and Multiplayer collaboration; Laurence MCP — a Model Context Protocol server bringing Amazon Ads data into Claude Code, Cursor, and Codex; and platform modules for listing optimization, inventory management, and competitor analysis. The Knowledge Flywheel is an internal AI knowledge system that synthesizes operational context for daily diagnosis agents and Ask Laurence. The entire stack is delivered as a fully hands-off SaaS targeting Amazon sellers and agencies at all scales.

Differentiator

Problem solved

Functional benefit

Products and services

  • Laurence Core AI platform that autonomously manages Amazon PPC advertising for brands, sellers, and agencies. Delivered as a SaaS with hourly bid updates across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP, using statistical bid-to-conversion models that target true net margin and LTV rather than target ACOS/TACOS. Scales to 10,000+ keywords with explainable, auditable decisions, and is sold via quote-based monthly subscriptions following a 30-day pilot.
  • Ask Laurence Conversational AI reporting and analytics agent accessible within the Laurence dashboard. Answers plain-English questions grounded in live Amazon Ads and Seller Central data, and supports Automations (scheduled recurring reports across stores), Multiplayer collaboration (shared threads), Parallel streams, and Image uploads for visual context alongside live data.
  • Laurence MCP Model Context Protocol server that exposes read-only tools for querying Laurence's Amazon Ads data (campaigns, keywords, bids, AMS events, search terms) to external AI coding assistants including Claude Code, Cursor, and Codex. Authentication uses standard browser OAuth via the user's Laurence account, scoped to stores the user belongs to.

Quantifiable outcome

  • 15-40% improvement in total net profit after margin and ad spend within one month
  • +3 more outcomes

Companies that use Laurence

Customer profile

Named customers9 records

Segments5 records

Ideal customer profiles5 records

Laurence technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability10 records

Feature6 records

Laurence partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core_infrastructure and major.

  • Amazon Web Services (AWS)core_infrastructureTechnology or IntegrationCloud infrastructure provider for Laurence's backend services. Data hosted on AWS in the United States.
  • Vercelcore_infrastructureTechnology or IntegrationWebsite hosting provider for laurence.com.
  • Supabasecore_infrastructureTechnology or IntegrationPostgreSQL database provider for state and analytics stores.
  • ClickHousecore_infrastructureTechnology or IntegrationAnalytics database for storing and querying Amazon Marketing Stream data and campaign metrics.
  • Upstashcore_infrastructureTechnology or IntegrationRedis caching provider for the platform.
  • Claude Code (Anthropic)majorTechnology or IntegrationLaurence MCP server enables Claude Code users to query Amazon Ads data directly within their IDE workflow.
  • CursormajorTechnology or IntegrationLaurence MCP server enables Cursor users to query Amazon Ads data directly within their IDE workflow.
  • Codex (OpenAI)majorTechnology or IntegrationLaurence MCP server enables Codex users to query Amazon Ads data directly within their IDE workflow.

Scale indicators9 records

Recent moves6 records

Expansion highlights5 records

Laurence competitors and assessment

Company assessment

Broad incumbents

  • Tinuiti: Tinuiti is a large independent performance marketing agency with a strong Amazon and retail media practice offering managed PPC alongside proprietary technology. It competes with Laurence on agency-led Amazon optimization, especially for enterprise brands.
  • Helium 10: Helium 10 is a broad Amazon seller suite covering keyword research, listing optimization, and PPC management (Adtomic). It overlaps with Laurence's listing, keyword, and bid modules, but operates as a horizontal toolkit rather than a profit-maximizing PPC specialist.
  • Jungle Scout: Jungle Scout is an established Amazon seller platform spanning product research, launch, and advertising tools. Its PPC and keyword tooling places it as a broader incumbent adjacent to Laurence's automation stack.
  • Flywheel Digital: Flywheel (formerly Mile Zero) is an Omnicom-owned Amazon and retail media agency that combines managed services with proprietary bidding and analytics software. It competes with Laurence on enterprise Amazon PPC outcomes.

Direct peers

  • Teikametrics: Teikametrics combines AI-powered bidding and marketplace analytics for Amazon sellers and brands. Its Flywheel platform directly competes with Laurence on profit-maximizing PPC automation for brands and agencies.
  • Quartile: Quartile is an AI-powered Amazon and retail media advertising platform focused on cross-channel bid optimization, keyword harvesting, and performance reporting. It targets similar mid-market and enterprise Amazon sellers as Laurence.
  • Perpetua: Perpetua provides AI-driven bid and budget optimization for Amazon, Walmart, Instacart, and other retail media networks, with deep analytics for performance marketers. It competes head-to-head with Laurence on automated bid optimization for scaling and enterprise Amazon brands.
  • Pacvue: Pacvue is a leading enterprise SaaS platform for Amazon and Walmart advertising, offering automated bid management, retail media optimization, and analytics for brands and agencies. It is the closest direct competitor to Laurence's core PPC automation offering across Sponsored Products, Brands, and Display.

Emerging players

  • SellerApp: SellerApp offers Amazon PPC automation, analytics, and product intelligence tools aimed at scaling and mid-market brands. It overlaps with Laurence's bid optimization and keyword discovery but typically with less statistical depth.
  • Sellerboard: Sellerboard provides Amazon seller profitability analytics and lighter PPC automation for SMB and scaling brands. It is an emerging player with partial overlap on Laurence's profitability-based bidding thesis.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

Laurence social profiles

Digital presence

Laurence financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Laurence leadership team

Management profile

Number of profiles

Profiles5 records

Laurence funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors8 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Laurence M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Laurence

What does Laurence do?

Laurence provides an AI-powered Amazon PPC automation platform that autonomously manages hourly bid optimization across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP using proprietary statistical bid-to-conversion models. The platform targets true net margin and LTV rather than target ACOS/TACOS, scales to 10,000+ keywords per account, and delivers full visibility into every bid decision with conversion estimates and confidence levels. Customers access the service via a SaaS dashboard after a 30-day pilot, with subscription pricing scaled to ad sales volume, catalog size, and marketplace complexity.

Is Laurence a public or private company?

Laurence is a private company. It is classified as venture growth investor backed and is currently operating.

When was Laurence founded?

Laurence was founded in 2025. It employs 1 to 10 people.

Where is Laurence based?

Laurence is headquartered in New York, United States, in the North America region.

How does Laurence make money?

One revenue line is on record: amazon PPC Automation SaaS.

Who are Laurence's main competitors?

Broad incumbents on record are Tinuiti, Helium 10, Jungle Scout and Flywheel Digital. Direct peers are Teikametrics, Quartile, Perpetua and Pacvue. Emerging players are SellerApp and Sellerboard.

Does Laurence have an API?

Yes. Laurence MCP (Model Context Protocol) server exposes read-only tools for querying Amazon Ads data including: list_allowed_ads_profiles, get_daily_sales, get_campaigns, get_ad_groups, get_campaign_keywords, get_campaign_negative_keywords, get_bids_and_observations, get_ams_events, and get_search_term_data. All tools are scoped to stores the user belongs to via Amazon Ads profile_id. Authentication uses standard browser OAuth flow via Laurence account. Available in Claude Code, Cursor, and Codex IDEs. Developer documentation is at www.laurence.com/blog/laurence-mcp-launch.

What industry is Laurence in?

Laurence's product category is Amazon Advertising Automation. Its primary akta.pro industry code is BPAMALAB, Demand-Side Platforms (DSP), with a secondary code of MPAAACAM, Performance Marketing Automation & Bid Management Services. Its NAICS code is 541810 and its SIC code is 7310.

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