Companies

Macroscope

macroscope.com

Macroscope provides AI-powered code review and engineering intelligence tools built directly on a company’s codebase.

HQSan Francisco, California, United States
Employees11-50
Funding$30M
9 active roles
Profile 8mo agoJobs checked 4d ago
Specialization
Not classified
Business
Software Applications
Market
Software Development
Ecosystem
Applications
Customers
Developersand 1 more customers values
  • Enterprises
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Software Development
Customers
Developers, Enterprises
Delivery models
Hosted Software
Revenue models
Usage Based
Listing status
Not classified
Latest equity round
Series A
Reported funding amount
$10M-$50M

About

Macroscope builds AI-powered tools for software engineering organizations, including automated code review, PR descriptions, and real-time development status updates. It serves engineering leaders and software development teams, differentiating through deep analysis of the codebase as a single source of truth for understanding product and code evolution while saving developers time.

Market

Macroscope competes in AI-assisted software development, particularly automated code review, codebase intelligence, and engineering-visibility software. It positions itself as an AI-powered understanding engine that serves both engineering leaders and developers through code review, status intelligence, and an action-taking agent. Its differentiation is a combination of agentic workflows, AST- and graph-based codebase understanding, multi-model reasoning, low-noise bug detection, integrated detect-fix-validate workflows, and usage-based pricing rather than primarily seat-based pricing.

Target Customers

Macroscope targets software engineering organizations ranging from fast-moving AI startups to scaled enterprises with hundreds of engineers. Its primary buyers are engineering leaders, CTOs, VPs of Engineering, and product-development leaders who need visibility into development activity, while developers use it to save time on reporting, code review, and troubleshooting.

At a Glance

Problem

As software teams ship exponentially more code, leaders and engineers have less visibility into what is actually happening. Founders, engineering managers, and product leaders struggle to answer basic questions such as what was completed, whether work is advancing priorities, and how the product changed. The usual substitutes—status meetings, Jira tickets, spreadsheets, and manually written updates—consume engineering time while producing stale, diluted, and sometimes sugar-coated information.

The core economic pain is the cost of “work around the work”: engineers spend time preparing updates instead of building, while managers make decisions using incomplete or delayed signals. The killer use case is replacing recurring status-checking and progress-reporting processes with an accurate, continuously updated view of development activity and priorities.

Product / Service

Macroscope is an AI-powered understanding engine for software development. It connects to a company’s codebase and development tools such as Linear and Jira, then synthesizes activity into real-time summaries, weekly digests, productivity trends, engineering-allocation insights, and answers to natural-language questions about the product, code, and development work. It is priced at $30 per developer per month, including status-checking functionality for managers.

Its technical differentiator is a “code walking” system that traverses the Abstract Syntax Tree and builds a graph of the codebase, including complex multi-repository environments. Macroscope uses relevant code references to give language models more context, improving the accuracy of summaries and bug detection. For engineers, it can suggest fixes for bugs in pull requests, generate PR summaries, provide a searchable feed of codebase changes, and answer code-research questions for debugging, onboarding, and poorly documented systems.

Market

Macroscope competes in the emerging market for AI-powered software-development intelligence, alongside adjacent developer-productivity, code-review, and AI coding tools. Its practical alternatives include status meetings and disconnected project-management systems such as Jira and spreadsheets. Cursor is an adjacent AI developer-tool comparison cited in the company’s launch coverage, although the available evidence does not establish a comprehensive list of direct like-for-like competitors.

Macroscope is commercially launched rather than merely pre-revenue or pre-product: it has a per-developer subscription price and early users including A24, Class, and Seed Health. The company announced a $30 million Series A led by Lightspeed and stated that this brought total funding to $40 million; a later PitchBook profile lists $50 million raised, so the reported funding total varies by source. Revenue figures have not been disclosed in the available research.

Founders & Leadership

Kayvon BeykpourFounder
CEO & Co-founder
Joe BernsteinFounder
Co-Founder, Technical Staff
Rob BishopFounder
Co-Founder, Technical Staff

Funding History

2023-09
Seed$10M

Thrive Capital, Adverb, GV

2025-09
Series A$30M

Lightspeed Venture Partners

Recent News

2026-09-29other
Macroscope and Fireworks discuss collaborative model training

Macroscope appeared with Fireworks in a September 29 webinar about building and training a specialized model for code review. The event page says their work reduced agent steps by 25% in early training runs without degrading performance.

2026-07-21product_launch
Macroscope launches CLI for local code review

Macroscope published a dated product page for its CLI, which reviews staged changes against the main branch without requiring a pull request. The CLI can also auto-fix issues in a parallel worktree before code is committed and supports every language the user ships.

2026-02-13product_launch
+1: Introducing Approvability

Macroscope introduced Approvability, a conservative check that can automatically approve eligible low-risk pull requests while escalating changes that need human review. Teams can customize eligibility policies, and the feature was made available to customers to try immediately.

2025-12-30partnership
How GoodDay Scales Engineering Visibility With AI-powered Code Intelligence

Macroscope published a customer case study on GoodDay’s use of AMA and custom Macros for automated reporting and Slack-based codebase questions. GoodDay reported reclaiming engineering and product time while improving visibility into changes and potential breaking changes.

2025-09-17funding
Periscope’s Beykpour raises $40 million for Macroscope to track code

CNBC reported that Kayvon Beykpour had raised $40 million for Macroscope, which helps developers find bugs and gives product managers tools to track engineering work. Macroscope’s launch announcement identified the financing as a $30 million Series A led by Lightspeed, bringing total funding to $40 million.

Active Roles

9
OnSite - San Francisco/Sales/35d ago
OnSite - San Francisco/Design/88d ago
OnSite - San Francisco/Engineering/131d ago
OnSite - San Francisco/Marketing/136d ago
OnSite - San Francisco/Technical Account Manager/145d ago
Hybrid - San Francisco/Sales/145d ago
OnSite - San Francisco/Engineering/242d ago
OnSite - San Francisco/Engineering/242d ago
OnSite - San Francisco/Engineering/242d ago

Business Model

Macroscope uses usage-based pricing for code review and code-processing features rather than seat-based pricing. Its pricing documentation describes per-review and per-PR usage caps, while published comparisons note that there are no seat fees.

Products

Agent: codebase Q&A and action-taking through Slack, GitHub, and APICode Review: automated pull-request review, bug detection, fixes, auto-approval, and custom review rulesStatus: commit summaries, sprint reports, weekly digests, project classification, and engineering productivity insightsCheck Run Agents: customizable AI reviewers that enforce security, tracking, stylistic, and workflow rules on pull requests

Customers

GoodDayParallel Web Systems

Tech Stack

Large language models, including OpenAI o4-mini-high and Anthropic Opus 4, used in a multi-model reasoning pipelineAgentic AI pipelineAbstract Syntax Trees (ASTs), purpose-built AST walkers, and graph-based codebase representationGitHub, Slack, and API interfaces, with integrations for Jira, Linear, BigQuery, PostHog, LaunchDarkly, and GCP Cloud Logging

Competitors

CodeRabbit
Cursor Bugbot
Greptile
Qodo
Graphite Diamond

Key Investors

GV, Lightspeed Venture Partners, NFX, Offline Ventures