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Skip to navigationSkip to main content Macroscope Macroscope helps companies understand the status of everything happening within their software development process. It gives you a birds eye view of how the codebase is changing, how the product is evolving, and what everybody is working on — all using the codebase as a source of truth. Macroscope Security OverviewOpens in new tab [email protected] Privacy PolicyOpens in new tab Subprocessors Google Cloud Platform • Cloud provider United States Our infrastructure is primarily hosted on GCP. OpenAI • Large Language Model (LLM) processing to generate summaries and code reviews Global Note: None of our customer data is ever used to train any of the OpenAI models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost. Anthropic • Large Language Model (LLM) processing to generate summaries and code reviews Global Note: None of our customer data is ever used to train any of the Anthropic models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost. No data is retained for all models except Fable, where data may be retained for 30 days for security purposes, and this data may be stored globally. Slack • Collaboration United States We use Slack for internal collaboration, including debugging customer-reported issues which occasionally include customer information. Temporal • Distributed software workflows United States Temporal is an integral part of our infrastructure. Any customer data processed via Temporal is encrypted, and Temporal does not have decryption keys. AWS • LLM Inference Processing for the product Global We occasionally use AWS Bedrock as a backup provider to run inference for other provider LLMs. We also sometimes use AWS for compute services. Customers have the option to limit LLM data and inference to US only for an extra cost. Stripe Inc • Payment processing Multi-region Stripe stores customer payment information and processes payments for us. Google Gemini • Large Language Model (LLM) processing Global We occasionally use Gemini models through Google's Vertex API to generate summaries and do code review. Models are never trained on any customer data. Microsoft Azure Cloud • Inference and Cloud Services Global We will occasionally use Azure to handle inference for LLMs from other providers. We also occasionally use Azure services for cloud processing as a backup to GCP. Customers have the option to limit data and inference to US only for an extra cost. SendGrid • Email delivery United States SendGrid powers email delivery for some of our reporting functionally. This functionally is optional but when configured by customers, allows you to receive summaries via email. 1-10 of 26 results Showresults per page All subprocessors Google Cloud Platform Our infrastructure is primarily hosted on GCP. Cloud provider United States cloud.google.com OpenAI Note: None of our customer data is ever used to train any of the OpenAI models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost. Large Language Model (LLM) processing to generate summaries and code reviews Global openai.com Anthropic Note: None of our customer data is ever used to train any of the Anthropic models. Transfers are safeguarded by Standard Contractual Clauses. Customers have the option to limit data and inference to US only for an extra cost. No data is retained for all models except Fable, where data may be retained for 30 days for security purposes, and this data may be stored globally. Large Language Model (LLM) processing to generate summaries and code reviews Global https://anthropic.com/ Slack We use Slack for internal collaboration, including debugging customer-reported issues which occasionally include customer information. Collaboration United States slack.com Temporal Temporal is an integral part of our infrastructure. Any customer data processed via Temporal is encrypted, and Temporal does not have decryption keys. Distributed software workflows United States https://temporal.io/ AWS We occasionally use AWS Bedrock as a backup provider to run inference for other provider LLMs. We also sometimes use AWS for compute services. Customers have the option to limit LLM data and inference to US only for an extra cost. LLM Inference Processing for the product Global aws.com Stripe Inc Stripe stores customer payment information and processes payments for us. Payment processing Multi-region stripe.com Google Gemini We occasionally use Gemini models through Google's Vertex API to generate summaries and do code review. Models are never trained on any customer data. Large Language Model (LLM) processing Global https://gemini.google.com Microsoft Azure Cloud We will occasionally use Azure to handle inference for LLMs from other providers. We also occasionally use Azure services for cloud processing as a backup to GCP. Customers have the option to limit data and inference to US only for an extra cost. Inference and Cloud Services Global https://azure.microsoft.com/en-us/ SendGrid SendGrid powers email delivery for some of our reporting functionally. This functionally is optional but when configured by customers, allows you to receive summaries via email. Email delivery United States sendgrid.com Posthog We use Posthog for analytics and error tracking of our web application and corporate website. Effective date: November 5, 2025 Web analytics and error reporting United States and EU posthog.com Linear We use Linear as our internal project management system. When issues relate to the experience of a specific customer, there may be minimal customer information as part of the created ticket. Collaboration United States linear.app Pylon We use Pylon as our unified customer support platform, to facilitate support via Email, Slack and other mediums. Customer Support United States useplon.com WorkOS In some cases, for Enterprise customers, we leverage WorkOS to integrate with your Identity Provider systems to better improve our summaries. Integration with Identity Providers United States https://workos.com/ Sentry We use Sentry to track client side errors, which sometimes include minimal customer information to track the source of the issue. Error tracking United States https://sentry.io/ Parallel Allows Macroscope to browse and search the web. AI powered web searches United States https://parallel.ai/ Exa Allows Macroscope to browse and search the web AI powered web searches United States https://exa.ai/ Fireworks AI We use Fireworks to process inference for certain LLM calls. Models are never trained on any customer data. Inference Global https://fireworks.ai/ Modal We use modal to create sandboxes where we can perform secure computing. We also occasionally us them to process inference for LLMs. Compute Sandboxes Global modal.com Zapier We use Zapier to automate internal workflows and triage customer support requests. Workflow automation United States zapier.com Baseten We occasionally use Baseten to provide LLM inference and training. We never use customer data to train LLMs. LLM inference and training Global baseten.co Together We occasionally use Together to provide LLM inference and training. We never use customer data to train LLMs. LLM Inference and Training Global together.ai Sail We occasionally use Sail to provide LLM inference and training. We never use customer data to train LLMs. LLM Inference and Training Global https://www.sailresearch.com/ Prime Intellect We occasionally use Prime Intellect to provide LLM inference and training. We never use customer data to train LLMs. Effective date: August 7, 2026 LLM Inference and Training USA https://www.primeintellect.ai/ SpaceXAI We occasionally use SpaceXAI to provide LLM inference and training. We never use customer data to train LLMs. LLM Inference and Training Global https://x.ai/ Terminal We occasionally use Terminal to provide LLM inference and training. We never use customer data to train LLMs. Effective date: September 8, 2026 LLM Inference and Training https://www.terminal.fyi/