Operationalize AI for your team — shared system context, architectural consistency, efficient growth, measurable outcomes.
Every agent. Every engineer.
One shared understanding.
Dynamically shared context — architecture, conventions, specs, and how they work together — scoped to the task at hand. Seamlessly integrated with your LLMs.
Drift detection, convention enforcement, and system evolution tracking. Your architecture stays consistent — even as AI reshapes your codebase overnight.
Workflow primitives for spec generation, verification, and code review — connected to GitHub, Slack, CI/CD. Reliable AI tasks that run while your team sleeps.
Engineering activity. AI agent outcomes. System evolution. Architecture adherence. The signals that connect AI adoption to the business outcomes.
Shared context for every human and AI contributor — so agents produce architecturally consistent code and engineers stop re-explaining what already exists.
Explore Team Acceleration →Drift detection, blast radius analysis, and quantified system risk. Know your architecture is sound — even as the pace of change accelerates.
Explore Change Confidence →Automated spec generation, architecture coherence checks, and overnight workflows. Your systems improve while your team sleeps.
Explore System Evolution →AI usage analytics, infrastructure cost attribution, measurable ROI, and budget forecasting. Connect spend to the systems, teams, and decisions that drive it.
Explore Cost Optimization →Topogy plugs into GitHub, Slack, CI/CD, ticketing, and MCP. It builds and maintains a living model of your codebase, your teams, and your decisions, keeping everything in sync as your system evolves.
See how it works →
Engineering activity. AI agent outcomes. System evolution. Architecture adherence. The signals that connect AI adoption to the business outcomes leadership cares about — not lines of code, not PRs merged.
"This is exactly what we're looking for right now… insights out of the box, tracking real outcomes. No more token leaderboards and lines of code."
"Topogy gives us system level context that we can trust. This enables our production agents to operate with the same level of understanding as our engineers."
"No more shadow AI. We finally have visibility into all of our AI agents and how they're interacting in production."
"Seeing how AI sessions correlates to PRs helps me use AI tooling more efficiently."
"Great tool that delivers on collaborative spec-writing, catching drift before production, and visualizing risk across the codebase."
The same living model that powers AI acceleration also maps cloud spend to the systems, teams, and decisions that drive it. Topogy helps engineering and finance teams understand infrastructure costs, optimize commitments, and track efficiency — with context, not just dashboards.
Trusted by teams optimizing AWS · GCP · Datadog · Snowflake · Databricks
Explore Cost Optimization →Connect your repos and tools. Get visibility in days, not quarters.