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.
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
Funding History
Thrive Capital, Adverb, GV
Lightspeed Venture Partners
Recent News
Macroscope launched a CLI that provides high-signal AI code reviews directly from the terminal before developers open a pull request. It also supports review and autonomous review-fix loops through Claude Code, Codex, Cursor, and OpenCode.
Macroscope added open-source model options—including Kimi K2.7 Code, GLM-5.2, MiniMax-M3, and Qwen 3.7 Plus—to Check Run Agents, allowing teams to optimize cost, latency, and performance for custom pull-request checks.
Macroscope announced a new code-review pipeline that found 31% more valid issues overall in its benchmarks, including 71% more critical issues. Its new Detection Mode lets teams choose between maximizing coverage and prioritizing precision.
Macroscope introduced Check Run Agents, which let teams define custom AI checks in Markdown and run them automatically on matching GitHub pull requests. Agents can comment on PRs, block merges, create Linear tickets, post to Slack, and connect to services such as Sentry, LaunchDarkly, BigQuery, and MCP servers.
Macroscope renamed and expanded its Ask Macroscope Anything capability as Macroscope Agent, adding action-taking workflows, event-driven automations, APIs, webhooks, and broader integrations. New connections include Sentry, Amplitude, GitHub, GCP Cloud Logging, Slack, and arbitrary MCP servers.
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.
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.
Macroscope highlighted Parallel Web Systems’ use of Macroscope for code review and automatic status updates. The case study reports more than 4,800 pull requests reviewed while helping engineers maintain velocity without unnecessary process overhead.
Macroscope released Code Review v2 powered exclusively by Claude Opus 4.5. The company reported 40% higher recall, 10% fewer false positives, and a 25% higher F1 score than its previous production pipeline; the release was live for all customers.
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
9Business 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
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
GV, Lightspeed Venture Partners, NFX, Offline Ventures