Entelligence Announces $5M Funding Round to Launch the Industry’s First AI Tech Lead for Software Engineering Teams 

Blue-chip investors, including Mayfield and Correlation Ventures, team with Entelligence to solve the major bottlenecks presented by the Vibe Coding paradigm and speed development by as much as 10 times existing approaches 

SAN FRANCISCO, 2025 – Entelligence, an innovative startup tackling the problems today’s developer teams face in the AI Coding era, today announced a $5M funding round co-led by Mayfield and Correlation Ventures. Now that software developers are using AI to create as much as 40% of their code, software engineering teams have seen the obstacles to maintaining developer velocity shift, as new challenges to ensuring this AI-generated code is production-ready have arisen. Available now, the Entelligence solution is designed to function as an AI Tech Lead, addressing issues such as AI code review, maintaining documentation, and measuring team progress. 

“AI-generated code is fundamentally changing how developer teams function daily,” said Aiswarya Sankar, CEO and founder of Entelligence. “However, despite the massive benefits in terms of productivity, the output of this new ‘vibe coding’ approach is not production-ready. Moreover, it has made conventional engineering metrics obsolete. Our solution is designed explicitly for this new paradigm, quickly enabling teams to leverage AI coding’s productivity benefits while guaranteeing code quality, delivering transparency, and giving teams the insights they need to measure success.” 

Entelligence is the first to tackle the challenges presented by AI-generated code with a series of AI agents that collectively serve as a team’s AI Tech Lead, eliminating bottlenecks and increasing engineering velocity. Already deployed in production environments with hundreds of customers, Entelligence is embedded throughout a developer team’s entire engineering stack, contextually understanding every aspect of the codebase. 

One example is Allocore, a company that powers the largest and most complex government loan, grant, and fraud programs worldwide, handling high-volume financial processes with ease. Their 500+-person engineering team turned to Entelligence’s solution to ensure the accuracy of their AI-generated code, as this was a critical element for a company processing trillions of dollars in financial transactions. 

“Entelligence’s solution not only solved a ‘hair on fire’ problem of code accuracy of our development teams, but the platform itself has functioned flawlessly thus far,” said Engineering Leader at Allocore. 

“Based on our analysis, their solution has analyzed hundreds of pull requests and prevented

dozens of potential outages, any of which could have sunk our reputation with our world-class financial services customers.” 

Despite the benefits of approaches like Vibe Coding, most teams are not equipped to manage the challenges created by this new paradigm. For many developer teams, the time saved by AI-generated code is often spent on manual code reviews and debugging the resulting code. What’s more, most organizations lack the resources to thoroughly review AI-generated code for accuracy and quality. The results include pull requests (PRs) that are not production-ready, outdated engineering metrics, and reduced collaboration. 

The Entelligence platform performs three core functions for developer teams looking to leverage AI-generated code: code review of AI-generated code, automated documentation of AI-generated code, and a new approach to measuring progress for both individuals and teams. 

Entelligence catches more bugs than any other solution 

One of the primary benefits of Entelligence’s solution is that it catches more actual bugs in AI-generated code than any other platform in the industry, as much as 70% more than competing solutions. This includes full contextual reviews of the entire codebase, as well as reviews within the code editor of choice. 

Using a deep research agent, Entelligence delivers full contextual reviews of the entire codebase, as well as reviews within the code editor of choice. This enables teams to analyze all past comments left in the codebase and identify common themes and patterns in the reviews, making it easier to improve the code. 

Entelligence also provides Sequence Diagrams per pull request and delivers detailed pull request summaries and walkthroughs, documenting precisely what’s been created. Entelligence AI code reviews are fully customizable, including a company’s guidelines, learning from “thumbs up and down” feedback. 

Re-Defining Success in the era of AI-generated code 

Since Vibe Coding renders traditional engineering metrics, such as the number of pull requests and lines of code obsolete, Entelligence provides a detailed performance review of individual team members, assessments of sprint performance, and powerful team overviews, enabling organizations to gauge their progress. 

Entelligence provides new metrics that showcase actual progress in this new environment. For example, Entelligence provides detailed performance reviews of individual team members, assessments of sprint performance, and powerful team overviews, enabling organizations to gauge their progress. Entelligence also delivers LLM qualitative analysis of each PR's contributions and impact. 

Entelligence supports engineers and teams to ensure their work is accurately represented, helping engineering teams identify their gaps and determine how to address them. It also helps

leadership actually measure engineering impact per team and provides detailed analysis across teams on code review depth, impact, and code quality. Together, these collectively provide a deeper perspective, combining both qualitative and quantitative metrics for engineering team growth and success. 

Automated generation of code base documentation 

The benefits of documentation are clear, but keeping these records up to date can be a monumental task and a significant time drain for engineering teams. Entelligence automatically documents and keeps codebase documentation up to date, particularly for large repositories. 

With its deep understanding of the codebase, Entelligence can automatically map out codebase dependencies and generate arch diagrams, explanations, and update these records with every PR 

The result is easier onboarding and knowledge transfer, reduced technical debt, and much improved collaboration. 

“AI-generated code is exploding, but the market has yet to catch up with the solutions teams’ need to maximize this revolutionary new approach to code creation,” said Sri Pangulur, Partner at Mayfield. “The Entelligence team has the talent, ambition, and innovation to fill this gap for development teams everywhere. Even in its early stage, this solution is polished and ready for large-scale deployments.” 

“Traditional approaches to software development have been swept away by the rise of AI,” said Wesley Barrow, Partner at Correlation Ventures. “Aiswarya and her team have built a powerful solution that enables teams to maximize their velocity with AI-generated code. There simply isn’t anyone else in the market today providing this kind of functionality.” 

Already in production in global deployments with thousands of users, Entelligence is available to help developers interested in vibe coding and AI-generated code today. Interested parties can find out more and start a free trial here: https://Entelligence 

About Entelligence 

Entelligence is an innovative startup tackling the new challenges faced by engineering organizations and developer teams using AI-generated code. Already deployed in production environments with hundreds of enterprises and backed by blue-chip investors, the Entelligence solution is the first to deliver an AI Tech Lead that provides the industry’s best code review, automated code documentation, and new metrics that matter in the AI era.