IntelliCopilot has been developed and meticulously refined through the most demanding projects at Intellias, and it’s now available to help our clients increase productivity, cut costs, and speed up the entire software development lifecycle.
With proven results — including a 25% increase in engineering productivity and 79% faster information retrieval — IntelliCopilot is ready to support you in building an AI-enabled engineering structure. From security and compliance to data protection and governance, Intellias and IntelliCopilot will prepare your teams for the AI-enabled future of work.
IntelliCopilot is an AI-powered programming plugin that can be embedded into your integrated development environments (IDEs). It elevates engineering productivity and is our development-focused counterpart to IntelliAssistant, which helps with enterprise knowledge management, sales efficiency and managed support.
IntelliCopilot enhances productivity by generating code, providing context-aware assistance, automating routine tasks, performing unit testing, writing code sample descriptions, and creating comprehensive documentation. It integrates seamlessly into your development workflow.
IntelliCopilot has already proven to be incredibly useful to developers, QA engineers, business analysts, and multiple other functions. Our goal was to reimagine a project lifecycle accelerated by AI at every stage. But it doesn’t stop there. CIOs, CTOs, and other technology leaders will also find that IntelliCopilot changes the way they work.
It takes a lot of money and effort to manage the operational aspects of software development, such as deployment and maintenance.
Software engineering includes many repetitive tasks such as writing tests, code comments, and documentation. Traditionally, these can reduce a developer’s effectiveness, productivity, and available development time.
Engineering projects are highly complex due to diverse technology demands, legacy code, deep integration needs, resource constraints, contextual risks, and changing requirements.
Software engineering projects often require long and costly development cycles that can have a severe impact on time to market and time to value.
IntelliCopilot is optimized for the tools, environments, and practices common within your organization, making it a relevant and efficient tool for your development tasks.
We provide consulting services to help you deploy and integrate IntelliCopilot within your teams and across your organization.
IntelliCopilot is 16 times more cost-effective than GitHub Copilot while offering the same functionality. As a powerful AI-assisted development tool that doesn’t require significant upfront investment, IntelliCopilot is an accessible and economical choice for all developers within your organization.
IntelliCopilot is continually learning to understand the nuances of your business, project scope, and development environment. This advanced contextual capability is designed to provide AI-driven insights that align closely with your goals and challenges, making every interaction more precise and relevant to your engineering workflow.
IntelliCopilot has successfully passed in-depth security assessments based on OWASP Testing Guide, PTES, NIST SP 800-115, and the MITRE ATT&CK Framework. In addition, Intellias ensures high level of data protection based on Microsoft Azure’s built-in security as well as custom LLM deployment based on GPT-4.
IntelliCopilot integrates quickly and easily into your development workflows. With no need for extensive setup or configuration, you can start using it seamlessly from day one. Better still, it eliminates the hassle of individual licensing for a frictionless onboarding experience.
100%
Faster legacy code analysis, explanations, and rewriting
40%
Acceleration of repetitive tasks including code autocomplete
25%
Faster coding, with improved quality and faster refactoring
Combining IntelliCopilot with our deep expertise in software engineering and proven methodologies and tools, we can help our clients build and deploy a reimagined engineering structure tailored to their specific goals and needs.
Your engineering teams may already expect to use copilots in their work. Our readiness assessment will help identify where you are on the engineering maturity journey and the next steps needed to ensure successful copilot integration.
It’s vital to pinpoint the areas of your software development lifecycle that will gain the most value when you deploy IntelliCopilot. This is why Intellias helps you build a value framework comprised of best practices and recommended focus areas.
It’s crucial to have the right security, compliance controls, system connectors, and information architecture in place. We empower you to optimize your data discovery and data management capabilities while ensuring data integrity.
Copilots are powerful tools, but they are only as good as the data and third-party systems they can access. Whether you want to add new features, improve the user experience, or integrate with other platforms, we can help you select and deploy custom connectors, plug-ins, integrations, or extra data sets.
We are honored to have won multiple awards for our AI projects. Intellias has also been
recognized by Gartner in its Tool Guide to Service Providers for GenAI Initiatives.
We set out to accelerate our time to delivery, and after analyzing other copilots, we developed our own customizable solution. It’s highly trainable on client models, can be integrated with a client’s knowledge base, and is built with the highest security standards in mind.
Denys Babych,
AI Engineering Productivity Program Leader at Intellias
Pavel Liber
Senior Vice President of Technology
Pavel leads technology strategy at Intellias with a focus on creating innovative enterprise-level solutions for clients worldwide while strengthening an engineering culture that transforms tech capabilities into strategic assets.
Having started his career as a junior developer, Pavel has progressed through engineering and management roles to reach top leadership positions in IT companies. Throughout his 20-year career, he has consistently set the right direction for innovation for some of the world’s largest companies, combining technical acumen with strategic business insight. His leadership portfolio includes building a 3,000+ professional division delivering digital products for international businesses.
With expertise in project coordination, management, and people leadership, Pavel has also co-founded several volunteer digital projects and platforms.
Denys Babych
Senior Delivery Manager
With 15+ years of experience in IT and software development, Denys is the leader of the AI Engineering program at Intellias, where he shapes and advances the strategic direction of AI initiatives. He is also a co-author of the AI Engineering Productivity Cookbook, a practical guide to harnessing AI for development efficiency.
As an ICAgile-certified agile facilitator, Denys has successfully delivered more than 20 projects in multiple industries. He holds certificates in Machine Learning Foundations and Machine Learning Project Management, and he consistently applies his expertise in AI and software engineering to create efficient data-driven development environments.
Illia Diachenko
Head of the Front-End Center of Excellence
Illia has over a decade of experience in software engineering, team leadership, and consulting. With a focus on operational excellence and improving the efficiency of company processes, he leads a team of experts in competency management, talent assessment, and presales support.
As an AI adoption enthusiast, Illia actively contributes to advancing AI integration within Intellias, promoting the use of AI in software development. Committed to helping engineering teams optimize workflows, he led the creation of IntelliCopilot, a productivity-enhancing AI-powered development assistant, and co-authored the “AI Engineering Productivity Cookbook.”
More than 100 pages of best practices (and code) for employing copilots and improving productivity. Get the AI Engineering Productivity Cookbook now. Tailored for engineering, product, and innovation teams.