In an effort to feature more insurtechs, Digital Insurance has modified the format of our Meet the insurtech series.
Reghu Hariharan,
What's the origin story of the company?
Quantiphi's journey began rooted in a bold belief that set us apart from the start. At a time when AI was largely seen as an academic pursuit, we envisioned its potential as a transformative force for enterprises. Some dismissed our early efforts as theoretical or impractical, but we remained steadfast, driven by the belief in the possibilities. That belief has since been proven in the
When was it founded?
Founded May 24, 2013, Quantiphi is an AI-first digital engineering company.
Can you tell me about the founders/founding team?
Quantiphi was founded by me and three other four people: Asif Hasan, Vivek Khemani and Ritesh Patel. We came together with the unified vision that AI would revolutionize business and technology services. Today, we've built Quantiphi into a global AI powerhouse. Each brings unique strengths and expertise to the leadership team, rounding out the numerous industries Quantiphi serves like banking, financial services and insurance, which Hariharan oversees,
Any meaning behind the company name?
The name "Quantiphi" reflects the deeper philosophy that drives the company's mission: to quantify and solve what truly matters for enterprises. It's a fusion of two powerful ideas—"quant," representing the rigorous, data-driven approach to problem-solving, and "phi," a nod to the golden ratio, a timeless symbol of balance and harmony in mathematics and nature. Together, they represent Quanitphi's commitment to creating impactful solutions that harmonize human and artificial intelligence. Just as the golden ratio signifies perfection in design, Quantiphi aims to bring that same level of precision and excellence to every customer solution we build.
How many employees?
Quantiphi has more than 3,000 talented professionals who are not just employees, but architects of technological progress.
Where is the company based?
Quantiphi is a global company headquartered near Boston, Massachusetts.
What pain points is the technology trying to solve?
The biggest challenge enterprise customers face is navigating the transformative potential of AI amid constant disruption. For business leaders, the core task is reimagining how work gets done to deliver real shareholder value. The pace of innovation is relentless—new models and capabilities emerge weekly—making it difficult to know where to focus. Strategic clarity, not just technical readiness, will separate the leaders from the laggards. Compounding this is what I call the "noise challenge." The market is crowded with vendors touting AI credentials. The key is finding true partners—those with proven AI expertise, not just fresh branding.
What funding rounds has the company had?
Quantiphi was largely bootstrapped for the initial few years of our journey. We raised a small Friends and Family round of financing in September 2018 and backed it with the first institutional round of private equity financing from Multiples Private Equity in December 2019 to support our growth initiatives.
What's ahead?
Two powerful shifts are reshaping the future of technology services: agentic AI Workflows and technology services as software (TSaaS). These forces represent a fundamental rethinking of how value is created and delivered in the industry.
Picture a world where every knowledge worker is supported by an intelligent AI agent capable of independent reasoning, decision-making and execution. These aren't simple bots—they're advanced systems designed to carry out complex, multi-step processes with minimal oversight. Early implementations with customers have already shown transformative gains:
- 20–30% increases in productivity across high-skill roles
- Significant operational cost reductions
- Always-on responsiveness
- Scalable workflows without the need to scale headcount
The second major opportunity lies in TSaaS —a complete overhaul of the traditional services model. Rather than measuring success by the number of engineers deployed, we're shifting the paradigm. At the center of this evolution is Codeaira, Quantiphi's AI-powered software engineering agent, built to enhance efficiency across the software development lifecycle.
While legacy providers continue to deliver headcount, Quantiphi is delivering intelligent, AI-augmented teams capable of developing solutions with unprecedented speed and precision.
Here's how:
- Agentic workflows as the engine: We're embedding intelligent agents into core workflows, empowering teams to automate routine tasks and focus on strategic, high-value work. It's like evolving from a static production line to a smart, self-improving system.
- TSaaS as the foundation: By productizing our services through Codeaira, we're offering scalable, repeatable solutions that outperform the traditional time-and-materials model. Think of it as selling a platform, not just manpower.
- Outcomes Over hours: Our model prioritizes impact over input. We're moving from billing time to delivering results—directly aligning our success with that of our clients.
- Next-gen legacy modernization: We're tackling outdated systems with a blend of human insight and AI acceleration. This isn't about upgrades—it's about transformation.
- Creating a new category: By making services faster, smarter and more accessible, we're not just gaining share—we're expanding the entire market. This isn't evolution; it's reinvention, on par with the leap from analog to digital.
