The enterprise AI ecosystem for governed, agentic software engineering​

Connect people, AI Agents, applications, models, tools, and enterprise knowledge in one governed ecosystem.​​

Delivering tangible gains across every step of software engineering and modernization​​​​​​

3× faster requirements engineering

75% less modernization effort

41% reduction in end-to-end delivery lead time

4x faster ticket resolution

Up 10× faster spec to working code

01
Enterprise AI challenges​

Forget scattered data, poor governance, and siloed initiatives. Master AI with AI/Cockpit.​

AI/Cockpit helps enterprises tame these challenges with a trusted AI ecosystem seamlessly connected with their own.

Disconnected systems​

AI initiatives trapped in technical silos, unable to share data or insights across the organization​

Scattered ​knowledge​​

Critical information fragmented across documentation, code repositories, and tribal knowledge​​

Isolated AI initiativies​​

Teams implementing AI solutions independently, creating redundancy and inconsistent approaches​

No unified​ governance​​

Lack of centralized oversight for security, compliance, and performance monitoring​​

02
About AI/Cockpit

Connecting your enterprise with agents, applications, AI models, and knowledge bases​​​​​

Comprehensive integration in a single hub​​​

Enterprise-grade architecture built to scale, with security and compliance by design​​​​

Proven measurable impact and metrics across the development lifecycle​​​​

Seamless identity & access management​

Single identity​

One authentication system for all AI tools and services​​

Universal access​​

Consistent permissions across platforms and applications​​

Seamless federation​

Integration with existing identity providers for frictionless deployment​

Trust Center: security without compromise​

Transparent security​

Complete visibility into all security components  and controls, with detailed compliance documentation​

Customer isolation​​

Guaranteed separation of customer environments with dedicated infrastructure and strict access controls​

Data integrity​​​

ensuring your data is never used for model training

Govern Every Layer of Enterprise AI

Centralize identity, model access, AI applications, agents, enterprise knowledge, usage policies, observability, and cost controls in one ecosystem.

03
Software engineering​

Slash time to market using AI as a peer engineer​​

Accelerate your software lifecycle with AI/Cockpit, from concept to production and ongoing maintenance.​

From Idea to Executable Specifications

Have AI-native requirements engineering, turning business intent into structured requirements, user stories, acceptance criteria, and specifications ready for AI Agents.


faster requirements engineering

Spec-driven & Agentic Development

Embed AI Agents that plan, code, test, refactor, and document software using specifications and enterprise context as their source of truth.

Up to 10×

faster spec to working code

Continuous Testing & Validation

Integrate AI Agents that continuously generate, execute, and refine tests, validating implementation against requirements and acceptance criteria.

82%+

higher unit testing productivity

Maintenance & Operations

Have AI Agents to analyze incidents, correlate engineering context, prioritize issues, and accelerate resolution.

faster ticket resolution

Integrating AI capabilities to enhance software development and experience​

Intelligent Requirements: Turn business intent into structured, agent-ready specifications. ​​​​

AI Reasoning: Integrate agentic development directly into the engineering workflow.

Layered Agents: Have specialized agents collaborating across software engineering workflows.

Smart Engineering: Understand, document, transform, and modernize complex codebases.​​

Agentic Modernization

Use AI Agents to analyze legacy systems, generate modernization specifications, transform code, validate outputs, and support migration to modern architectures.

AI to analyze legacy code and produce comprehensive technical and functional documentation​

AI to automatically generate detailed architecture diagrams from existing codebase​

AI to identify refactoring opportunities and generate migration plans and backlog​

75%
less modernization effort
60%​
lower modernization cost

Real-time performance metrics​

40+ Engineering & AI Performance Indicators

Track productivity, quality, adoption, AI usage, model consumption, costs, and engineering outcomes across teams and projects.

AI-driven ​insights​

Unlock automated anomaly detection  and a recommendation engine​​

4× efficiency in ticket resolution​​​

Speed up issue identification, prioritization, and resolution​​​

Unlock value for key
stakeholders within your
organization.​

04
Where we are

We meet you where you are and move you forward.

GLOBAL FOOTPRINT.​ BORDERLESS PRESENCE.​

NORTH AMERICA

SOUTH AMERICA