Development Provenance Platform
Your developers are using AI to write code.
Can you prove what it created?
LaunchCode gives you complete visibility into AI-assisted development—tracking every prompt, every model interaction, and every line of code generated. Works with your existing agentic AI tools, wherever your developers already work.
100%
AI Development Visibility
Weeks>Hours
Audit Preparation Time
Complete
Prompt-To-Code Lineage
The Problem
You're already using AI to code. But are you capturing the value?
Your developers are using agentic AI tools to accelerate development. But without visibility into what's working, you can't scale best practices, measure impact, or prove value to leadership. LaunchCode captures the complete interaction history—turning adoption into a strategic advantage.
The Flywheel
Capture usage, extract insights, scale what works.
LaunchCode creates a reinforcing cycle that gets better over time—automatically capturing what works and redistributing it across your organization.
Where Are You Today?
The Five Stages of AI Adoption Maturity
Most enterprises are somewhere on this journey. Identify where you are—and see what's possible when you move up the ladder.
Ready to move up the ladder? LaunchCode guides you from wherever you are today to where you need to be.
The Five Pillars
How LaunchCode enables your AI adoption journey.
Each pillar builds on the last, creating a reinforcing cycle that accelerates value capture across your entire organization.
Access: Provision Tools Without Friction
Get developers onto approved AI tools without the procurement nightmare. One-click provisioning through your existing cloud contracts—developers get access in minutes, not weeks.
Cloud provider integration (AWS Bedrock, Azure OpenAI, GCP Vertex AI)
SSO with enterprise identity providers
Token billing through existing cloud relationships
Multi-model support—route to the right model for the task
OUTCOME: Eliminate shadow AI in week 1
Observability: Understand Usage and Costs
Complete visibility into who's using what, where money is going, and what's actually happening. Know exactly where every AI dollar goes.
Per-user, per-team, per-project cost attribution
Budget caps and rate limiting
Request/response logging with full audit trail
Usage dashboards and trend analysis
OUTCOME: Cut audit prep from weeks to hours
Governance: Stay Secure and Compliant
Enterprise-grade security and compliance that enables adoption rather than blocking it. Guardrails that actually work.
Approved provider routing (no unknown third-party exposure)
Compliance reporting (EU AI Act, SOC 2, audit requirements)
Policy enforcement (approved models, data boundaries)
Sensitive data redaction and protection
OUTCOME: First security policy deployed in day 1
Insights: Learn What's Working
Intelligence layer that mines AI usage for patterns, measures impact, and connects adoption to outcomes. Turn data into decisions.
Adoption analytics (engagement curves, power users)
Outcome correlation (AI usage vs. delivery metrics)
Agentic conversation analysis (extract patterns automatically)
ROI measurement and executive reporting
OUTCOME: Prove ROI to leadership with real data
Collaboration: Scale Best Practices
Automatically capture, curate, and distribute what works across the organization. Knowledge stops leaving when people do.
Skills and prompts (reusable, shareable expertise)
Enterprise standards (guidelines pre-loaded into agent context)
Knowledge base (advice extracted from Insights)
Automation templates (skills promoted to scheduled agents)
OUTCOME: Best practices auto-distributed in week 4