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LinearB

https://linearb.io Research Team Data
Active

AI productivity and engineering intelligence platform that helps software teams measure, govern and improve how code reaches production.

LinearB connects to Git, project management, CI/CD and incident systems to measure engineering productivity, code delivery and AI coding adoption. Current messaging emphasizes helping enterprises get AI-generated code shipped safely and efficiently.

Positioning

AI productivity platform for engineering leaders

Key facts

HQ location
Santa Monica, CA, USA / Tel Aviv, Israel
Founded
2018
Employee range
51-200 (51-200)
Funding stage
Series B
Company type
Private (Private)
Pricing model
Freemium Subscription (Per-seat / contributor SaaS subscription; free trial / demo options)
Last updated
Jun 21, 2026

Revenue estimate

Unknown / not publicly disclosed

Valuation estimate

Unknown

Investments

$50M Series B announced May 2022; total funding $71M

Target customers

Engineering leaders, platform teams, developer productivity teams and software organizations

Key competitors

Jellyfish, DX, Waydev, Swarmia, Pluralsight Flow

Known customers

BigCommerce; company cites 5,000+ software development organizations

Classification (raw research text)

Core focus
Engineering productivity analytics
Core industry
Software Engineering
Core category
Engineering intelligence / SDLC analytics

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • System / API Integration Primary focus
  • AI / LLM Data Pipeline Secondary feature
  • Traditional Machine Learning Secondary feature
  • AI Security / Guardrails Primary focus
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Vertical-Specific AI Primary focus
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Not emphasized
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Not emphasized
  • Retrieval-Augmented Generation Not emphasized
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Not emphasized
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Secondary feature
  • AI Quality Assurance / LLM Evaluation Not emphasized
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Primary focus
  • Data Privacy / PII / Confidential AI Not emphasized
  • AI Governance / Policy Management Not emphasized
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Not emphasized
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Primary focus