Srinivas Njay, the CEO, is one of the worst human beings in a leadership position. And it is because of how terrible the experience is at this company that a comprehensive review is necessary.
Employee treatment:
The leadership style is rooted in fear and stress. The CEO frequently publicly dresses down employees on group calls. A back office team in India monitors every movement—every keystroke on employee laptops is tracked, and the team is tasked with reporting mistakes directly to the CEO, who uses them as justification for berating staff. Srinivas thrives on making people feel inadequate every single day. There is zero tolerance for even the smallest mistake, despite large and frequent errors made by leadership. He micromanages every employee, including the management team, leaving no room for autonomy. Turnover is extremely high, with the company operating like a revolving door of VPs and ICs across Sales, CS, Delivery, and more. Nearly every function has experienced at least two leadership changes within short time spans.
Customers:
The small set of customers currently under contract are often misled. The company preys on an industry that doesn’t deeply understand AI, positioning itself as a savior. In reality, over 90% of its sub-80 customers are dissatisfied with the product. Only a handful—around 3 to 5—can be used as legitimate references, despite public claims of having 120+ customers. These inflated numbers misrepresent actual traction. Prospects are often unaware of the right technical or regulatory questions to ask, and the company takes advantage of that knowledge gap to sell a product that does not deliver.
Technology:
The tech has long been a smoke-and-mirrors operation. For a significant period, it was not true AI but a rules-based system supported by human intervention. A team of ‘taggers’ in India would monitor real-time transcripts of end-user calls and manually select responses, simulating AI behavior. Eventually, the company adopted LLMs, but with no clear legal or compliance framework in place for handling authenticated users in a regulated space. There is no U.S.-based legal team—just one contract GC in India—which is highly concerning given the sensitive nature of customer data in banking and credit union environments. Compliance is treated as an afterthought. Solutions are often made up on sales calls in real time, with features promised based purely on prospect requests, regardless of feasibility or regulatory implications. Sales is also encouraged to lie to prospects - items like "AI detects deepfakes and sentiment" are just pure fabrication, and if sales does not comply they are publicly dressed down and spoken to in an extremely condescending manner as if they don't understand technology.
Funding and Public Appearance:
Media coverage is largely pay-to-play, used to fabricate credibility. The company pays publications like Forbes to run articles painting a positive image. No U.S.-based VC has invested; the company had to seek funding from a VC in India to stay afloat. Despite serving U.S. credit unions and banks, it operates with an employee base of ~200, 170 of whom are based in India—including engineering, legal, and other key functions. There is no CFO, CRO, or COO. Initial growth happened during COVID, fueled by the financial sector's scramble to maintain operations. Growth has stalled since then, which likely explains the lack of U.S. investor interest.
Final thoughts:
Avoid this company. It will drain your energy and negatively affect your mental health. All the negative reviews are accurate—and just look at how the company responds to them. In one recent response, leadership claimed that all AEs were fired and none met the bar, despite multiple AEs resigning voluntarily. These public replies are filled with falsehoods. Leadership frequently blames others for failures rather than taking accountability. Deals are often derailed, not saved, by executive involvement. Prospects and employees alike are put off by the leadership team’s behavior.
This company is a case study in toxic culture, manipulation, and misrepresentation—both internally and externally.
