Invaris

Dobby: High Impact, Outcome-Focused Agentic Automation

We are building the future of AI-driven SDLC automation. By making specifications dynamic, interactive, and always up to date, we eliminate inefficiencies and ensure high-quality software delivery.

Software Development Challenges

🧠

Outdated Specifications

Software development teams struggle with keeping specifications, requirements, and test cases up to date

🤝

Team Misalignment

Misalignment between development, testing, and release teams leads to inefficiencies, increased costs, and delayed deliveries

📘

Domain Knowledge Gap

Automation engineers lack understanding of specific domains and platforms like Banking, Salesforce, and SAP

⏱️

QA Time Crunch

QA teams face pressure with late builds and compressed testing timeframes to meet GTM deadlines

Our Solution: AI-Driven Interactive Specifications

Connect All Sources

Integrates with requirement management, design systems, and version control to gather comprehensive insights about the application under test

Platform Understanding

Leverages platform architecture and metadata from Salesforce, SAP, etc. to generate reliable automation with 100% coverage

Continuous Improvement

Improves with every execution, creating smarter test case designs that reduce maintenance efforts

Domain Intelligence

Understands specific business domains to ensure automation aligns with actual business requirements

Why Dobby?

🤖

AI-Driven Development

Test automation as an enabler for faster software development

🧠

Outcome Focus

Shift from task completion to business impact

🚀

Agentic Automation

Autonomous systems that understand and adapt

Test automation should be an enabler for AI-based faster software development. We believe agentic test automation will play a big role in transforming how teams deliver software, moving beyond script-based approaches to intelligent systems that understand business context.

Key Features That Set Us Apart

Real-time Requirement Sync

Automatically updates specifications as requirements evolve

Collaboration & Traceability

Ensures all teams work with current information

AI-Powered Test Generation

Creates and updates test cases based on changes and history

Execution-Aware Specs

Learns from past executions to refine test cases

Seamless ALM Integration

Syncs with Jira, Azure DevOps, and other tools

The Challenge

Software teams adopt scriptless automation tools to expedite project automation, but these tools are rarely truly scriptless. They typically require around 40% customization to achieve objectives, and automation practices must be adapted to the specific features and behaviors of each tool.

Our Approach

Dobby eliminates this complexity by truly understanding both the application domain and the testing requirements. Our AI-driven system adapts to your specific environment, reducing the need for extensive customization while providing more reliable results. We focus on outcomes rather than scripts, ensuring that automation actually helps accelerate time-to-market and improves quality.

Transform Your Software Development Process

Business Outcomes

Faster GTM, higher quality

Team Alignment

Unified view across development, QA, and release

Agentic Automation

Self-improving, context-aware testing

Integrated Knowledge

Connected to all your development systems

Join us in revolutionizing how software teams collaborate and deliver. Dobby's AI-driven approach ensures your specifications are always current, your tests are comprehensive, and your teams are aligned around business outcomes rather than just completing tasks.

Measurable Business Impact

Dobby delivers quantifiable advantages that transform how teams build and ship software.

80%

Cost Savings

Reduce testing expenses through intelligent automation

10x

Faster GTM

Accelerate product releases with streamlined testing workflows

80%

Impact Analysis

Time saved through automated change assessment

100%

Test Coverage

Complete application coverage with agentic automation

Our AI-driven platform translates technical improvements into business outcomes that matter.

Use Cases & Industries

Banking & Financial Services

Compliance testing, transaction validation, and regulatory reporting automation for BFSI applications with domain-specific understanding.

Salesforce Applications

Metadata-aware testing for Salesforce customizations, integrations, and complex business processes with platform-specific intelligence.

SAP Enterprise Systems

End-to-end testing for SAP modules, workflows, and enterprise resource planning with deep system understanding.

SaaS Platforms

Multi-tenant testing, API validation, and user journey automation for scalable software-as-a-service applications.

E-commerce Applications

Customer journey testing, payment processing validation, and inventory management automation for online retail platforms.

Healthcare Systems

HIPAA-compliant testing, patient data validation, and medical workflow automation with healthcare domain expertise.

Technical Specifications

Integration Capabilities

  • • Jira, Azure DevOps, GitHub, GitLab
  • • Jenkins, Bamboo, TeamCity
  • • Salesforce, SAP, ServiceNow
  • • Selenium, Playwright, Cypress
  • • REST APIs, GraphQL endpoints
  • • CI/CD pipeline integration

Supported Technologies

  • • Web applications (React, Angular, Vue)
  • • Mobile apps (iOS, Android)
  • • Desktop applications
  • • Microservices architecture
  • • Cloud platforms (AWS, Azure, GCP)
  • • Containerized applications

Implementation Process

1

Discovery & Assessment

Analyze your current testing processes, identify automation opportunities, and define success metrics.

2

Platform Integration

Connect Dobby with your existing tools and systems, configure domain-specific settings.

3

Pilot Implementation

Deploy Dobby on a subset of your applications, validate results, and refine configuration.

4

Scale & Optimize

Expand across your entire application portfolio, leverage AI insights for continuous improvement.

Frequently Asked Questions

How does Dobby differ from traditional test automation tools?

Dobby uses AI to understand business context and application behavior, automatically adapting to changes without requiring script maintenance. Traditional tools require manual updates and lack domain intelligence.

What programming languages does Dobby support?

Dobby is language-agnostic and works with any application regardless of the underlying technology stack. It generates tests in multiple formats including Selenium, Playwright, and custom frameworks.

How does Dobby handle complex enterprise applications?

Dobby leverages platform metadata (Salesforce, SAP) and domain knowledge to understand business processes, ensuring comprehensive test coverage that aligns with actual business requirements.

Can Dobby integrate with existing CI/CD pipelines?

Yes, Dobby seamlessly integrates with popular CI/CD tools like Jenkins, Azure DevOps, GitHub Actions, and GitLab CI, providing automated test execution and reporting.

What is the learning curve for Dobby?

Dobby's AI-driven approach reduces the learning curve significantly. Teams can start with basic automation and gradually leverage advanced features as they become familiar with the platform.

How does Dobby ensure test reliability?

Dobby learns from execution history, adapts to application changes, and uses intelligent element identification to maintain test stability across application updates and deployments.

How does Dobby generate tests from requirements?

Dobby uses advanced LLMs to analyze Jira requirements, user stories, and acceptance criteria, then automatically generates comprehensive test suites including positive, negative, and edge case scenarios.

Can Dobby export to Playwright or Selenium?

Yes, Dobby produces clean, CI-ready scripts for both Playwright and Selenium, along with other popular testing frameworks. The generated code is production-ready and follows best practices.

How does Dobby handle Salesforce metadata testing?

Dobby understands Salesforce custom objects, fields, workflows, and page layouts. It generates metadata-aware tests that adapt to configuration changes and validate both custom code and declarative changes.

What makes Dobby's tests self-healing?

Dobby learns from test execution results and application changes. When UI elements change, it automatically updates selectors and test logic, reducing maintenance overhead by up to 60%.

How fast can we get started with Dobby?

Discovery begins within 48 hours, followed by a two-week pilot with clear exit criteria. Most teams see initial results within the first week of implementation.

Does Dobby integrate with our existing CI/CD pipeline?

Yes, Dobby seamlessly integrates with Jenkins, Azure DevOps, GitHub Actions, GitLab CI, and other popular CI/CD tools. Tests run automatically on every build and deployment.

Ready to Transform Your Development Process?

Join us in revolutionizing how software teams collaborate and deliver with Dobby's AI-driven approach.