Helping engineering teams turn workflow signals into intelligent decisions11-50 Employees
epiFi Technologies careers
Fi started by reimagining how people interact with money. We built products used by hundreds of thousands of users and developed a culture of moving fast, solving hard problems, and building with an obsession for user experience and outcomes.
Now we're applying those same principles to a new problem space.
Engineering teams today generate enormous amounts of data across tools, workflows, pull requests, deployments, planning systems, and collaboration platforms. But most organizations still struggle to answer basic questions: Why are teams slowing down? Where are bottlenecks emerging? What patterns separate high-performing teams from average ones? How do leaders move from instinct to clarity?
We're building an AI-native Engineering Intelligence platform to solve that.
Backed by the experience of building and scaling technology products, we're bringing together product thinking, data intelligence, and AI to help organizations understand and improve engineering performance in a way that feels useful, not overwhelming.
We're still early enough that every person joining can shape the product, the company, and the playbook.
We're building an AI Engineering Intelligence platform that helps companies understand how engineering organizations actually operate.
Instead of just reporting metrics, we're building systems that connect signals across engineering workflows and translate them into actionable intelligence.
The platform helps teams:
• Understand engineering health beyond vanity metrics • Identify delivery bottlenecks and execution gaps • Surface patterns across teams and workflows • Turn large amounts of engineering data into insights leaders can use • Move from reactive reporting to proactive decision-making
We believe the future isn't more dashboards. It's systems that understand context, explain why something is happening, and help teams decide what to do next.
Now we're applying those same principles to a new problem space.
Engineering teams today generate enormous amounts of data across tools, workflows, pull requests, deployments, planning systems, and collaboration platforms. But most organizations still struggle to answer basic questions: Why are teams slowing down? Where are bottlenecks emerging? What patterns separate high-performing teams from average ones? How do leaders move from instinct to clarity?
We're building an AI-native Engineering Intelligence platform to solve that.
Backed by the experience of building and scaling technology products, we're bringing together product thinking, data intelligence, and AI to help organizations understand and improve engineering performance in a way that feels useful, not overwhelming.
We're still early enough that every person joining can shape the product, the company, and the playbook.
We're building an AI Engineering Intelligence platform that helps companies understand how engineering organizations actually operate.
Instead of just reporting metrics, we're building systems that connect signals across engineering workflows and translate them into actionable intelligence.
The platform helps teams:
• Understand engineering health beyond vanity metrics • Identify delivery bottlenecks and execution gaps • Surface patterns across teams and workflows • Turn large amounts of engineering data into insights leaders can use • Move from reactive reporting to proactive decision-making
We believe the future isn't more dashboards. It's systems that understand context, explain why something is happening, and help teams decide what to do next.
Maithreyi Sairam
Ashutosh Gupta
Farhan Haider
Software Engineer @ Fi Money | Passionate about data platforms, backend, cloud systems & full-stack dev | Competitive programmer & problem solver
Valuation
$0
Funded over
1 round
Latest round