With AI at the core, Heizen has a new model for software development at scale
Heizen
achieves faster and leaner high-quality software with measurable outcomes by integrating AI agents into small, agile engineering teams.
The company recently raised $500,000 in pre-seed funding from
Titan Capital
and Aman Arora, CEO and Co-founder of Heizen, says the capital is not for experimentation, but to build foundational infrastructure for scale. 'We have spent the last year proving that a new model of software delivery is not only possible, it is inevitable. AI agents working alongside elite engineers unlock a 10x improvement in how software gets built,' Arora said.
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Arora, who previously held leadership roles at JP Morgan and IHS Markit, co-founded Heizen with Abhilasha Singh, an ex-Microsoft engineering lead with a master's in Machine Learning from TU Munich, and Nijansh Verma, a GTM leader based in San Francisco. Together, they are building what they describe as the next generation of
software delivery infrastructure
, blending machine precision with human judgment.
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Smaller teams, smarter systems
Heizen focuses on pods: compact, cross-functional groups comprising engineers, designers, and AI agents. Each of these agents has a specific purpose: Helix writes code, the PM Agent plans sprints, and others handle deployment and QA. The goal is to eliminate waste, enabling humans to focus on high-impact work like planning, debugging, and strategy.
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'A typical codebase migration that takes three to six months in a traditional setup can now be completed in just three weeks,' Arora explained. 'AI agents handle the execution work in parallel, while senior engineers oversee direction and quality.'
Today, 30 to 40 percent of Heizen's delivery cycle is already powered by agents, and that number is increasing each month.
Investor backing
Titan Capital was the startup's first choice for investment, due to funds and shared conviction. 'They saw what others didn't—that the future of software delivery isn't about adding more people, but building smarter systems,' Arora said. 'Kunal and Rohit understood from the start that engineers remain critical even in an AI-first world. They have backed that belief with support, clarity, and experience.' Titan is not involved in daily operations but actively helps Heizen grow through strategy and connections.
Manik Pasricha, Vice President at Titan Capital says the Heizen team had a level of clarity and purpose that is rare at the pre-seed stage. 'Their understanding of how artificial intelligence can be embedded meaningfully into the software development process is both practical and forward-looking. What stood out to us was their focus on delivering real value through a combination of strong engineering practices and thoughtful product design. Aman and his co-founders have built a model that prioritises outcomes, client alignment, and execution speed, without compromising on quality. We see long-term potential in the way they are approaching this space, and we are pleased to support their journey from the very beginning," Pasricha says.
From pricing to delivery
Heizen has also moved away from traditional pricing models. Rather than hourly billing or tracking engineers, the company bills based on results. Clients pay for value, not volume.
It has gained popularity with early-stage startups and mid-market teams, especially in SaaS, AI tools, and customer success platforms. These companies often need quick turnarounds, product-level thinking, and strong execution from day one. Heizen says weekly sprints let them release new features and workflows while avoiding inflexible delivery schedules.
Recently, the company helped a
B2B SaaS
startup with customer insights integration across Salesforce, Gong, and product data, and modernised a 30-year-old legacy system for a biomedical enterprise. 'These teams are building fast and can't wait six months for delivery. They are looking for speed, precision, and deep integration of AI tools into their stack,' said Arora.
Heizen says it is already clocking over 100 sprints a month, and the team is gearing up to scale that to 1,000 as the platform matures. They anticipate reaching $10 million ARR in the next 12-18 months, given their current progress.
The company continues to focus on the U.S. market, despite rising interest from European and Southeast Asian founders and innovation teams. 'If we're stepping into a new market, we want to be sure we can show up with the same level of speed and execution our clients already count on,' said Arora.
Future forward
India's IT sector has been recently in the news because of large-scale layoffs, which has substantially increased the number of people on the hunt for a job. Heizen, however, says it isn't heavily recruiting from big IT layoffs, but is keeping an eye out for talents wanting new challenges. Heizen says it wants engineers who are curious, product-focused, full-stack generalists ready to work alongside AI. 'There's a growing wave of engineers in India who want to solve harder problems, who are tired of assembly-line delivery. Those are the people we are building this team with,' said Arora.
As global tech services enter a period of recalibration, Heizen says it is working on a different tempo—fast, focused, and AI-native by design. There is no attempt to upend the legacy giants or declare disruption. The idea is simple but potent: develop a quicker, more intelligent software delivery method, iteration by iteration.
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