Kudwa, the AI finance intelligence platform founded by Karl Nasr and Sam Arif, has closed a $1.1M funding round with participation from UK-based 1818 Venture Capital, F6 Ventures, US-based Sparked VC, IM Fndg, and IVP.
The company sits in what Nasr describes as the "post-accounting" layer of the finance stack. Where pre-accounting tools handle transactions, expenses, and accounts payable, and accounting software handles bookkeeping, Kudwa targets everything that comes after: financial planning and analysis, consolidation across entities, forecasting, and performance reporting.
The platform connects to ERP, accounting, and operational systems and uses a combination of LLMs, machine learning models, and statistical models to automate the analysis that finance teams typically do manually in spreadsheets.
"Every single month you have to bring in data from on average eight different data sources, put them in one spot, and then you have five to ten days of working on that," Nasr told FWDstart. "It's usually very high pressure, very manual, and people are always bugging you for answers."
Kudwa didn't start here. The company originally launched as Numu Cards, an expense management product timed just before the category saw a wave of new entrants across the region. Nasr said the founders quickly recognised the market dynamics were unfavourable ("very high volume, very thin margins") and went back to customers to identify a stronger pain point. That process led them to the post-accounting problem.
The company currently serves clients across the UAE, Saudi Arabia, the US, and India. Its core target market is businesses with 50 to 500 employees and up to $80 million in turnover, though Nasr noted that Kudwa started with smaller companies and moved upmarket as the product matured.
Average sales cycles run three to six weeks, and Nasr describes the product as "extremely sticky," pointing to the urgency with which clients escalate even minor integration issues as evidence that the platform has become embedded in daily workflows.
A key part of Kudwa's pitch is that, unlike legacy FP&A incumbents that have retrofitted AI onto existing architectures, the company has built with AI at its foundation. Nasr is quick to note, however, that the technical challenge is less about the models and more about the data layer. A typical client pulls from eight or more data sources, and getting those systems to speak to each other coherently is what he calls "the biggest trick, the most difficult part."
Kudwa’s founders’ Sam Arif and Karl Nasr
Trust is a central concern for any AI product handling financial data, and Nasr frames it as non-negotiable. "Hallucinations have to be zero. It's not 99%. It's zero. It's black or white. There's no grey." The platform runs a validation layer between data ingestion and output, cross-referencing figures against source systems before presenting them to clients. The company holds SOC 2 compliance and has been audited by both QuickBooks Intuit and Xero.
The founders bootstrapped deliberately before raising. Nasr said they wanted to validate three things with their own capital first: that they could build the product, that people would use it, and that people would pay for it. "It's always stronger to go to an investor and tell them I'm as much an investor as you are," he said.
The cap table reflects a deliberate geographic strategy. 1818 Venture Capital brings UK and European operator networks, Sparked VC provides a US footprint for what Nasr sees as an eventually global product, and regional investors offer GCC market access. "For us to succeed the way we want to succeed, we have to be a global solution," Nasr said.
Asked whether building from the region during a period of renewed geopolitical uncertainty makes Kudwa more resilient or simply makes everything harder, Nasr was direct. "We're always pushing against the wind. It makes it harder, but everything's hard. Head down, focus, block the noise, and just keep growing."
A full transcript of FWDstart's interview with Karl Nasr will be published later this week.
