100+ engineers. Dozens of services. One source of truth. Probe gives enterprise teams unified code intelligence across your entire organization — at scale.
Trusted by engineering teams managing 10M+ lines of code.
Query across every service, every team, every repository. One unified view of your entire architecture and how it all connects.
SOC 2 compliant, SSO integration, role-based access control, full audit trails. Deploy on-prem or in your private cloud.
New hires productive in weeks, not months. Self-serve access to architectural context, ownership, and historical decisions.
Understand blast radius before deploying. Cross-team dependency analysis prevents cascading failures and production incidents.
At enterprise scale, knowledge fragmentation isn't a nuisance. It's a strategic liability that compounds every quarter.
Three senior engineers hold the keys to critical systems. They answer questions all day instead of building. When one leaves, you lose years of institutional knowledge overnight. You can't scale expertise fast enough to match headcount growth.
Payment team wants to refactor the billing service. Needs sign-off from Platform, Security, and three other teams who depend on it. Two weeks of Slack messages and meetings to understand blast radius. The actual change takes 3 days. The coordination took 20.
Auditor asks: "Show me every place customer PII is stored and how it's encrypted." You know it's in 12+ services across 40+ repositories. Finding every instance takes a team 2 weeks. The actual audit question took 10 minutes. Your inability to answer it cost you a quarter's worth of engineering time.
Real questions from CTOs, VPs of Engineering, and senior technical leaders running 100+ person engineering orgs.
Query your entire codebase — every service, every team, every repository — as if it were one system.
Most enterprises have knowledge fragmented across teams, Confluence pages that are 6 months stale, and Slack channels where context gets lost. Probe treats your entire codebase as the single source of truth. It reads code semantically across all repositories, understands cross-service dependencies, and connects dots between teams that don't even know they depend on each other.
Know where sensitive data lives, how it's protected, and prove it to auditors in minutes instead of weeks.
Compliance at enterprise scale is a nightmare because the answers live in code that's scattered across 50 repositories and 10 teams. When the auditor asks "show me everywhere you store PII," you can't grep your way to an answer. You need semantic understanding of data flow across your entire architecture.
Probe maps data lineage across your system. It finds every service that touches customer PII, traces how it moves between teams, identifies where encryption is missing, and generates compliance reports automatically. When regulatory requirements change, you know exactly what code needs to be updated and which teams own it.
New engineers productive in weeks, not months. Self-serve access to institutional knowledge without pulling senior engineers into endless meetings.
At 100+ engineers, onboarding isn't a people problem, it's a knowledge distribution problem. Your senior engineers spend 30% of their time answering architecture questions instead of building. New hires take 8 weeks to make their first meaningful contribution because understanding the system requires tribal knowledge that isn't written down.
Probe gives every engineer — new or experienced — the same level of system understanding. It answers architectural questions instantly, shows historical context for why decisions were made, and guides engineers to the right code without waiting on Slack responses. Senior engineers stop being human documentation. New hires ramp up 3x faster.
Production-tested workflows designed for large engineering organizations. Deploy immediately, customize to your org structure, evolve over time.
Automatically generate personalized onboarding guides based on the engineer's role, team, and service ownership. Include architecture context, key dependencies, and historical decisions without pulling senior engineers into meetings.
Generate compliance reports on demand: where PII lives, how it's encrypted, which teams own it, and which controls are in place. Answer auditor questions in minutes instead of assigning a team for 2 weeks.
Before any major change, understand blast radius automatically. See which teams depend on your service, what will break, and who needs to approve. Turn 2-week coordination cycles into automated pre-flight checks.
When production breaks, give on-call engineers full context immediately: what changed recently, which teams are affected, what the blast radius is, and what similar incidents looked like. Cut MTTR by eliminating context-gathering overhead.
Full SOC 2 Type II compliance. Annual audits, penetration testing, and security certifications maintained continuously. Meet your enterprise security requirements out of the box.
Deploy entirely on-prem or in your private cloud. Code never leaves your infrastructure. Air-gapped deployment capable. Full data sovereignty and compliance with regional data residency requirements.
Enterprise SSO integration (Okta, Azure AD, Google Workspace). Role-based access control at team and repository level. Audit logs for every query and action. Meets enterprise identity requirements.
Full OpenTelemetry instrumentation on every workflow, query, and AI interaction. Export to your existing Datadog, Splunk, or Grafana stack. Debug AI workflows like any other production system.
Start with the open-source core to validate the technology on a single team. Scale to enterprise when you need multi-team coordination and compliance features.
Free forever
The core code intelligence engine. Perfect for individual teams evaluating the technology on their own repositories before rolling out org-wide.
Contact for pricing
Everything in Open Source, plus multi-team coordination, compliance automation, and enterprise security features for organizations with 100+ engineers.
We recommend starting with a single team pilot to validate ROI, then rolling out org-wide once you see measurable impact on velocity and compliance overhead.
Start with the open-source version. Have a single team validate the core technology before committing to an enterprise rollout.
Give one team's engineers code intelligence in their existing tools. Works with Claude Code, Cursor, or any MCP-compatible editor. See if it reduces the number of Slack questions to senior engineers.
Add a GitHub Action for one team's repo to see automated code review in action. Every PR gets security, compliance, and architectural feedback before human review.
Create a Slack bot for one team's channel. Engineers ask architectural questions and get answers grounded in actual code. Measure reduction in interruptions to senior staff.
Once you've validated core technology with one team, run an enterprise pilot across 3-5 teams to test multi-team coordination, compliance workflows, and cross-org dependency mapping.
Choose 3-5 teams with high interdependencies and frequent cross-team coordination pain. Ideal candidates: teams that ship slowly due to cross-team approvals or struggle with onboarding new engineers.
We work with your architects to connect all pilot team repositories, map cross-team dependencies, and configure team-level access controls. This session usually takes 2-4 hours.
Set up compliance automation, dependency impact analysis, and onboarding workflows. Connect to your SSO, Jira, and Slack. Configure OpenTelemetry export to your monitoring stack.
Track onboarding time for new hires, cross-team coordination overhead, compliance report generation time, and Slack question volume to senior engineers. Compare to pre-pilot baselines.
Want to discuss how an enterprise pilot would work for your organization?
Schedule a Leadership DiscussionCopilot and ChatGPT work on whatever code is in front of them. They don't understand your multi-team architecture, cross-service dependencies, or organizational context. They can't tell you which teams need to approve a change or how a service failure cascades across your system.
Probe understands your entire enterprise codebase — all teams, all services, all repositories — as a unified system. It answers questions that require cross-team knowledge and organizational context that generic AI tools can't access.
Probe is SOC 2 Type II compliant and can be deployed entirely on-premises or in your private cloud. Code never leaves your infrastructure. We support air-gapped deployments for maximum security. SSO integration with RBAC ensures only authorized users access specific repositories. Full audit trails for every query meet compliance requirements.
Initial pilot with 3-5 teams: 4-6 weeks including architecture mapping, SSO integration, and workflow configuration. Org-wide rollout after successful pilot: 8-12 weeks depending on number of teams and repositories. Most enterprises see ROI within the pilot phase from reduced coordination overhead alone.
Enterprises with 100+ engineers typically see: 50% reduction in onboarding time (6-8 weeks down to 2-3 weeks), 70% reduction in cross-team coordination overhead (coordination cycles from weeks to days), 90% reduction in compliance report preparation (weeks of work down to hours), and 30% reduction in senior engineer interruptions (they build instead of answering questions). Most organizations hit positive ROI within 3-6 months.
Let's discuss how Probe can reduce coordination overhead, accelerate onboarding, and automate compliance for your enterprise. We'll show you how it works on your architecture.