Pixee

Name: Pixee
Brand: Pixee

AI Native

The agentic security engineering platform securing your code from design to remediation with automated triage and fix.

Est 2022|Valuation $47M|Raised $15M

LinkedIn 9K|Web traffic 2K|FTEs 30|HQ Baltimore, Maryland, US

MarketsApplication Security Testing (AST)Code Security

01Competitive Landscape

| Aspect | Pixee | Snyk | Semgrep | |--------|-------|------|---------| | Starting Price | Not publicly listed (demo/quote driven) | Public entry pricing exists; vendor lists published plans (entry pricing cited in some contexts) | Pricing exists; commercial plans published (exacts vary) | | Best For | Organizations with many findings from multiple scanners that want a downstream remediation layer | Teams seeking an integrated detection and management platform across code/dependencies/containers/IaC | Teams needing robust SAST with growing SCA/secrets features and developer-centric workflows | | Key Strength | Scanner-agnostic triage and PR-based remediation focus; vendor emphasizes exploitability filtering and mergeability | Broad product suite and ecosystem; established presence in developer security tooling | Strong SAST background; broad language support and clear productization around code scanning | | Key Weakness | Limited publicly accessible third-party review evidence; pricing and enterprise security details are not transparent publicly | Pricing complexity and potential cost at scale depending on plan | Some assistant features may involve submitting code snippets to external model providers depending on configuration; enterprise security review required | - Competitor differentiators (based on publicly available material) - Pixee - Emphasizes ingesting findings from many scanners and acting as a remediation/resolution layer rather than a primary detection platform. Published comparisons to other vendors reflect vendor perspective and should be viewed as such. - Snyk - Public pricing and a broader product ecosystem; enterprise procurement remains largely quote-based. - Semgrep - Public documentation about assistant features includes explicit notes on data handling when opting into certain capabilities, which is a concrete governance consideration for some buyers. - Mobb - Positioned as an AI-driven remediation platform; direct competitor in automated fix generation and developer workflow integration. - Customer testimonials comparing products - No direct end-user comparative quotes were retrieved from independent review platforms in the sources accessed for this research. - Market share / adoption trends - Independent market share and broad adoption trend data were not available from accessible analyst sources in this research set.

01Competitive Landscape

Aspect	Pixee	Snyk	Semgrep
Starting Price	Not publicly listed (demo/quote driven)	Public entry pricing exists; vendor lists published plans (entry pricing cited in some contexts)	Pricing exists; commercial plans published (exacts vary)
Best For	Organizations with many findings from multiple scanners that want a downstream remediation layer	Teams seeking an integrated detection and management platform across code/dependencies/containers/IaC	Teams needing robust SAST with growing SCA/secrets features and developer-centric workflows
Key Strength	Scanner-agnostic triage and PR-based remediation focus; vendor emphasizes exploitability filtering and mergeability	Broad product suite and ecosystem; established presence in developer security tooling	Strong SAST background; broad language support and clear productization around code scanning
Key Weakness	Limited publicly accessible third-party review evidence; pricing and enterprise security details are not transparent publicly	Pricing complexity and potential cost at scale depending on plan	Some assistant features may involve submitting code snippets to external model providers depending on configuration; enterprise security review required

Competitor differentiators (based on publicly available material)
- Pixee
  - Emphasizes ingesting findings from many scanners and acting as a remediation/resolution layer rather than a primary detection platform. Published comparisons to other vendors reflect vendor perspective and should be viewed as such.
- Snyk
  - Public pricing and a broader product ecosystem; enterprise procurement remains largely quote-based.
- Semgrep
  - Public documentation about assistant features includes explicit notes on data handling when opting into certain capabilities, which is a concrete governance consideration for some buyers.
- Mobb
  - Positioned as an AI-driven remediation platform; direct competitor in automated fix generation and developer workflow integration.
Customer testimonials comparing products
- No direct end-user comparative quotes were retrieved from independent review platforms in the sources accessed for this research.
Market share / adoption trends
- Independent market share and broad adoption trend data were not available from accessible analyst sources in this research set.

Aspect

Pixee

Snyk

Semgrep

Starting Price

Not publicly listed (demo/quote driven)

Public entry pricing exists; vendor lists published plans (entry pricing cited in some contexts)

Pricing exists; commercial plans published (exacts vary)

Best For

Organizations with many findings from multiple scanners that want a downstream remediation layer

Teams seeking an integrated detection and management platform across code/dependencies/containers/IaC

Teams needing robust SAST with growing SCA/secrets features and developer-centric workflows

Key Strength

Scanner-agnostic triage and PR-based remediation focus; vendor emphasizes exploitability filtering and mergeability

Broad product suite and ecosystem; established presence in developer security tooling

Strong SAST background; broad language support and clear productization around code scanning

Key Weakness

Limited publicly accessible third-party review evidence; pricing and enterprise security details are not transparent publicly

Pricing complexity and potential cost at scale depending on plan

Some assistant features may involve submitting code snippets to external model providers depending on configuration; enterprise security review required