Sigma Software helps organizations apply Claude across software delivery, legacy modernization, AI-powered applications, and agentic enterprise workflows.
We bring together Anthropic technologies, our proprietary AI Compass methodology, and the expertise of 139 Claude-certified engineers to identify the right transformation path, redesign how work gets done, and scale what proves its value.
As an Anthropic Select Services Partner, we help organizations apply Claude across the software development lifecycle, product capabilities, and business processes: from augmenting existing workflows to redesigning the delivery model around AI.
Faster software delivery, more efficient modernization, and a clear path to scaling Claude across teams. Our AI Compass methodology helps match each use case with the right delivery model, level of automation, and human oversight.
Claude becomes part of the software lifecycle: from AI-assisted development to coordinated agentic workflows.
We integrate Claude Code across the SDLC, connecting engineering activities through agentic workflows built on project-specific context, reusable skills, and specialized agents. Built-in quality gates and human oversight keep engineers in control of architecture, critical decisions, and releases.
Our focus is:
Claude helps engineering teams understand and modernize legacy systems without undermining business logic.
We use Claude Code to analyze legacy codebases and surface the business logic, dependencies, and constraints of existing systems faster. Our engineers then validate these findings and make informed architecture and modernization decisions. We also rely on AI-assisted analysis during controlled rebuilding and testing to maintain system stability.
Our focus is:
Claude enhances digital products with new capabilities for user interaction.
We build Claude into your software, so your product can do more for your users. Our engineers connect Claude with your product data, business logic, and existing systems to build AI-based features for search, analysis, and decision support, with production-grade evaluation and controls in place.
Our focus is:
Claude helps teams complete business tasks across enterprise systems, reducing manual effort and coordination.
We integrate Claude with the knowledge sources and workflows of tools your team already uses, including Microsoft Teams, Jira, and ServiceNow, so it can retrieve context, coordinate multi-step tasks, and trigger actions across systems and internal portals.
Our focus is:
Lucas Langen
Co-Founder & CEO
DripDrip Pharma
Sigma Software quickly became the driving force behind our product and engineering efforts. Their combination of outstanding technical execution and an AI-native delivery model has allowed us to move from ideas to production at a pace that would normally require a much larger organization. What impressed me most wasn't just the speed of delivery, but the team's ability to truly understand our product, challenge and improve requirements, as well as continuously optimize the way we work together. Today, we don't see Sigma Software as an external service provider, but as an integral part of the DripDrip Pharma team.
Grounded in our AI Compass methodology, our approach combines structured AI transformation planning with engineering frameworks and reusable implementation assets to help organizations move from identifying the right opportunities to implementing and scaling AI-enabled workflows. Across software engineering, IT modernization, digital products, and business operations, we integrate security, governance, AI cost management, and human oversight into every stage.
Our AI transformation methodology helps assess organizational readiness, prioritize opportunities, define the appropriate level of automation and human oversight, and develop a practical path to implementation and scale.
Our engineering framework for redesigning software delivery around AI agents, from specification and implementation to independent verification and human decision points across greenfield and legacy projects.
A reusable engineering environment supporting agentic delivery across teams through shared workflows, integrations, controls, quality standards, and visibility.
Compass identifies which SDLC activities benefit from Claude Code, where specialized agents can take on more work, and what context, integrations, quality gates, and human controls are needed.
Outcome: Claude becomes part of a repeatable engineering process, with a clear path toward controlled agentic delivery.
Compass identifies which applications are suitable for AI-assisted modernization, what business logic and dependencies need to be understood, and which architectural, security, and quality requirements shape the approach.
Outcome: Legacy applications are modernized with better system understanding, controlled changes, and reliable validation.
Compass identifies where Claude can add value to existing or new products, what data and knowledge sources are needed, and how accuracy, security, and human validation should be addressed.
Outcome: AI-powered product capabilities are built around validated user needs, reliable information access, and clear quality controls.
Compass identifies which business tasks can be automated, what enterprise systems and permissions need to be connected, and where human approvals and verification remain necessary.
Outcome: Business workflows run with less manual effort, connected systems, and controlled AI execution.
A healthcare product company needed to increase development throughput without expanding its internal workload. Sigma Software established an AI-native delivery model powered by Claude Code across four connected workstreams, accelerating the path from product definition to production.
Sigma Software redesigned the development lifecycle around coordinated AI agents and validation stages, enabling a small engineering team to operate at significantly greater development throughput while maintaining quality standards.
Our team helped create, implement, and scale a multi-level Claude adoption model that matches AI autonomy to the work being performed: from human-in-the-loop activities to AI-assisted work and dedicated agents for well-defined tasks.
Sigma Software helped establish an internal Claude-powered agentic development platform, starting with pilot teams and expanding across development squads. This program created a shared model for AI-assisted engineering and broader adoption across product-related functions.
We introduced Claude Code Enterprise as the core AI-assisted development accelerator, expanding its adoption from an initial foundation to a broader agentic engineering setup. Our engagement focused on scaling automation, implementation, and delivery across the engineering lifecycle.
Sigma Software helped a European logistics company rebuild legacy logistics modules on a modern web platform using Claude Code. The team established an AI-augmented delivery workflow with project-specific context, reusable skills, and specialized agents, accelerating legacy analysis and implementation while preserving existing quality gates. The approach was subsequently extended to another logistics product, with further development planned.
