Irzan Raditya

co-founder and CEO of Kata.ai

Compiled from 1 recorded interview. Every statement below is drawn from the passage cited beside it.

Irzan Raditya is the co-founder and CEO of Kata.ai, an AI company that works with more than 300 enterprise clients. Raditya believes Kata.ai is the first AI company in Indonesia. He says the company has been profitable for the past three years.

Early life and education

Raditya has been an entrepreneur since elementary school, where he sold caricature drawings, bootleg CDs and mixtapes. As a schoolboy, he built modded games and a bot engine for online games for friends. He studied computer science in Berlin. [1]

Early career

Raditya held a stint as head of mobile products at a company. He says he had around four failed pre-startups before he built a company. He says he began his journey in 2015 by building an SMS concierge platform. He returned from Germany to Indonesia with his co-founders after they saw a trend in the US, and he says he came back because he believes Indonesia is the best place to build from zero to one. [1]

Founding years

Raditya says his company knew its model would not scale without automation technologies, particularly machine learning and natural language processing. He says Google, Amazon and Microsoft did not have an NLP algorithm for the Indonesian language. His company decided to build an AI model for the Indonesian language, and the team built an Indonesian language corpus from forums and social media with linguistic students. The company raised its seed round from investors. It had two offices, in Jakarta and Manila, with almost 100 people, most of them customer service agents. [1]

Pivot to Kata.ai

Raditya says the company was running out of money in 2016, with what he recalls as zero revenue. He says he had to let go of 92 staff because the company could not raise funds. He says Unilever approached him to build the first female assistant or female friend for its consumers, especially in Gen Z. The team reasoned that if Unilever needed the product, other companies in the FMCG sector would need it too. The company made a bold pivot to Kata.ai in October 2016. [1]

Kata.ai

Raditya describes Kata.ai as an omnipresent AI company that helps businesses improve customer engagement, cut costs and increase sales. He says it focuses on enterprise clients, especially regulated ones such as banks, insurers and telecoms. Its customers together reach 70 million end users, and the company facilitates 2.5 billion US dollars of transaction volume each year. One customer is the largest national pawn brokerage in Indonesia, and a major telecommunications company is both a customer and partner. With the same product and technology, Kata.ai helps its customers generate revenue instead of only saving costs. [1]

Raditya says Kata.ai mixes models, using smaller models for simple tasks and reasoning models for agentic functions. He says building a large language model to compete with frontier labs takes a toll, and the company does not have the luxury. His mantra to his team is never to marry your models. About 70% of Kata.ai's usage still comes from US frontier labs. The company packages its product in containers on Kubernetes for customers who run it on their own cluster, and it partners with a local data center that provides a token factory for data residency in Indonesia. [1]

About 95% of Kata.ai's deployments run on WhatsApp. Its memory combines persistent memory tied to CRM and CDP systems with lightweight session context. Raditya says the company can update its technology as it goes, as long as it does not break things. He says its principle is to put customer experience first and work backwards to the technology, and that it measures everything at the gross margin level. [1]

Growth and team

Raditya says Kata.ai's top line doubled and its bottom line tripled in financial year 2025. As of mid-2026, he says it is growing three times over last year on revenue. He says demand grew three to four times over two years on the same marketing budget, organically, and he credits Kata.ai's early AI leadership in Indonesia for its brand recognition with enterprise buyers. Kata.ai has around 60 people, who he says are much more productive than the 100 people it had before. He says the company has been doing forward deployed engineering for 10 years, estimates that about 80% of its deployments are equipped by forward deployed engineers, and says it once helped a customer reduce its headcount by 70%. [1]

Views

Raditya believes the future of AI business is outcome-based, not charging by tokens or usage. He says customers care about outcomes, not which models are used or how many. He says human-in-the-loop is still needed, even with the most advanced models, and estimates that in the next three to five years work will be about half AI and half human control. He says real results depend on two things: ambition and tokens. [1]

He says Indonesia is a land of opportunity, where problems are opportunities, and that cost still matters in developing countries like Indonesia. He says sovereign AI is existential for Indonesia, not a nice-to-have. In his view, AI built by Indonesians for Bahasa Indonesia performs better in Indonesian markets, and sovereignty means Indonesia captures the value, controls its data and shapes its technology on its own terms. [1]

He says enterprises increasingly want AI to reside in their own servers or cloud clusters, so their data stays put. He adds that some enterprises feel safer with AI in-house, for peace of mind about frontier lab terms. [1]

He says about 70% of white-collar workers in Indonesia bring their own AI tools to work. He says corporate bureaucracy and decision-making slow AI adoption in Indonesia. He also says Indonesia does not yet feel the urgency to use AI to survive. [1]

Raditya believes AI exposes which people, organizations and countries can adapt and which are not willing to, and that society will split into two camps, those who benefit from AI and those left behind. He says everybody will have their own AI, even running on devices, and that there should not be a monopoly from the big AI labs. He says his lighthouse is the success of Kata.ai's customers. [1]

Timeline

2015
Raditya begins his journey by building an SMS concierge platform.[1]
2016
The company runs low on money, and in October it makes a bold pivot to Kata.ai.[1]
2025
Kata.ai's top line doubles and its bottom line triples in the financial year.[1]
2026
Kata.ai reports growing revenue three times over the previous year as of mid-year.[1]

Appearances

DateTitleWhere
2026-08-14 Never marry your models: Kata.ai's decade of outcome pricing Beyond the Bubble

Frequently asked questions

Who is Irzan Raditya?

Irzan Raditya is the co-founder and CEO of Kata.ai. The company works with more than 300 enterprise clients. Raditya believes Kata.ai is the first AI company in Indonesia.[1]

What does Irzan Raditya do?

Irzan Raditya is co-founder and CEO of Kata.ai. He describes the company as an omnipresent AI company that helps businesses improve customer engagement, cut costs and increase sales.[1]

Where did Irzan Raditya study?

Irzan Raditya studied computer science in Berlin.[1]

What company did Irzan Raditya found?

Irzan Raditya is a co-founder of Kata.ai. The company made a bold pivot to Kata.ai in October 2016.[1]

What is Kata.ai?

Kata.ai is an AI company led by Irzan Raditya. It works with more than 300 enterprise clients and focuses on enterprise clients, especially regulated ones such as banks, insurers and telecoms.[1]

Is Kata.ai profitable?

Irzan Raditya says Kata.ai has been profitable for the past three years. He also says its top line doubled and its bottom line tripled in financial year 2025.[1]

What does Irzan Raditya think about sovereign AI?

Irzan Raditya says sovereign AI is existential for Indonesia, not a nice-to-have. He says sovereignty means Indonesia captures the value, controls its data and shapes its technology on its own terms.[1]

References

  1. Never marry your models: Kata.ai's decade of outcome pricing . Beyond the Bubble , 2026-08-14.
Show the source passages (70 statements)
  1. Irzan Raditya is co-founder and CEO of Kata.ai. co-founder and CEO of Kata.ai who has spent a decade building conversational and agentic AI out of Indonesia
  2. Irzan studied computer science in Berlin. He did his computer science at HTW Berlin
  3. Irzan held a stint as head of mobile products at a company. including a a stint as the head of mobile products at tiket.com
  4. Irzan believes Kata.ai is the first AI company in Indonesia. I think Kata.ai is the first AI company in Indonesia. We bought the first .ai domain, I think, for less than $10 back then.
  5. Irzan has been an entrepreneur since elementary school, selling caricature drawings, bootleg CDs and mixtapes. I've been, you know, selling stuff since I was in elementary school. So, from, you know, some caricature drawings, uh you know, bootleg CDs, mixtapes
  6. As a schoolboy, Irzan built modded games and a bot engine for online games for friends. building like a modded games or bot engine for online game for friends during my school times
  7. Irzan says he had around four failed pre-startups before he built a company. That's why I got like around four failed {quote} unquote pre-startups before I built YesBoss.
  8. Irzan says he began his journey in 2015 by building an SMS concierge platform. I start out the journey building YesBoss. So, YesBoss as a SMS concierge-based platform. So, it was back in 2015.
  9. Irzan returned from Germany to Indonesia with his co-founders after they saw a trend in the US. So, the way I got there with my co-founders after coming back from Germany to Indonesia is we saw the news, the trend in the US.
  10. Irzan says he came back to Indonesia because he believes it is the best place to build from zero to one. But for entrepreneurs, to do business, to create zero to one, I believe that Indonesia is the the best place to be for me.
  11. Irzan says Indonesia is a land of opportunity, where problems are opportunities. I saw that Indonesia is a land of opportunity. I mean, the same you might look at Pakistan. So, a lot of problems. Problems means opportunities.
  12. Irzan says his company knew its model would not scale without automation technologies, particularly machine learning and natural language processing. we knew exactly that that kind of model wouldn't be scalable without any automation technologies. Particularly one is machine learning and second is natural language processing
  13. Irzan says Google, Amazon and Microsoft did not have an NLP algorithm for the Indonesian language. Even the likes of Google, Amazon, Microsoft and others, they didn't have the NLP algorithm for Indonesian language.
  14. Irzan says his company decided to build an AI model for the Indonesian language. we decided to build the AI model for Indonesian language.
  15. Irzan says the team built an Indonesian language corpus from forums and social media with linguistic students. We scraped a lot of the internet from for Indonesian language from forums, from social media. We worked together with linguistic students to build the corpus of Indonesian language
  16. Irzan says his company raised its seed round from investors. So we raised our seed round from 500 Global and others
  17. Irzan says his company had two offices, in Jakarta and Manila, with almost 100 people, most of them customer service agents. To the extent we had two offices, one in Indonesia, Jakarta, one in Manila, Philippines with almost 100 people and majority are doing the customer service agents line
  18. Irzan says his company was running out of money in 2016, with what he recalls as zero revenue. 1 1/2 years gone in 2016 we were running out of money. Mhm. There was I think like zero revenue.
  19. Irzan says he had to let go of 92 staff because the company could not raise funds. I had to let go 92 people of my staffs. I couldn't raise fund.
  20. Irzan says Unilever approached him to build the first female assistant or female friend for its consumers, especially in Gen Z. I got approached by one of the major multinational consumer goods brand, Unilever. They wanted to build the first female assistant or female friend for their consumers, especially in the Gen Z and
  21. Irzan says the team reasoned that if Unilever needed the product, other companies in the FMCG sector would need it too. Our investors was impressed and we thought that okay, if Unilever needs this, that means other companies in the FMCG sector needs this.
  22. Irzan says the company made a bold pivot to Kata.ai in October 2016. So, we made a bold pivot in October 2016 from YesBoss to Kata.ai.
  23. Irzan describes Kata.ai as an omnipresent AI company that helps businesses improve customer engagement, cut costs and increase sales. we have transformed to become an omnipresent AI company where we help businesses to improve their customer engagement, reducing their cost, increasing their sales.
  24. Irzan says Kata.ai works with more than 300 enterprise clients. we're working with 300 plus enterprise clients in the sectors like telecommunication, financial services, retail, healthcare, government
  25. Irzan says Kata.ai's customers together reach 70 million end users. uh 70 million end users collectively from our customers, and annually we facilitate 2.5 billion US dollar of transactions volume.
  26. Irzan says Kata.ai facilitates 2.5 billion US dollars of transaction volume each year. annually we facilitate 2.5 billion US dollar of transactions volume.
  27. Irzan says Kata.ai has been profitable for the past three years. Kata.ai as a company has been profitable for the past 3 years.
  28. Irzan says Kata.ai measures everything at the gross margin level. We measure everything on a gross margin level very I think religiously.
  29. Irzan says Kata.ai mixes models, using smaller models for simple tasks and reasoning models for agentic functions. smaller models for lower tasks, but maybe the reasoning model more on the back end for the agentic functions for example.
  30. Irzan says his team's mantra is never to marry your models. my mantra to my team is never marry your models.
  31. Irzan says building a large language model to compete with frontier labs takes a toll, and Kata.ai does not have the luxury. we understood that it took a toll to build the large language model if we want to compete with the frontier labs out there. We don't have the luxury
  32. Irzan says about 70% of Kata.ai's usage still comes from US frontier labs. 70% of our usage is still coming from the you know, US frontier labs for the same reason of practicality
  33. Irzan says enterprises increasingly want AI to reside in their own servers or cloud clusters, so their data stays put. your AI should reside in your you know let's say geography it should reside in your server or your cloud cluster your data shouldn't go anywhere
  34. Irzan says some enterprises feel safer with AI in-house, for peace of mind about frontier lab terms. regardless like the terms and conditions from the frontier lights out they really manage them one by one I mean like it's just something for their peace of mind they feel like if everything is at my house I feel safer.
  35. Irzan says cost still matters in developing countries like Indonesia. of course cost in you know in in developing countries like Indonesia is still still a thing
  36. Irzan says Kata.ai focuses on enterprise clients, especially regulated ones such as banks, insurers and telecoms. we are hyper focused on enterprise clients corporates especially regulated ones like financial service banks insurance telecommunication
  37. Irzan says Kata.ai packages its product in containers on Kubernetes for customers who run it on their own cluster. deploying for uh customers running on their cluster. So, we package everything containerized on Kubernetes
  38. Irzan says Kata.ai partners with a local data center that provides a token factory for data residency in Indonesia. we also mitigate this by partnering with um local data center that provides token factory. So, data residency is Indonesia.
  39. Irzan says a major telecommunications company is both a Kata.ai customer and partner. there is this one uh major telco company called Indosat, also our customer and partners.
  40. Irzan says one Kata.ai customer is the largest national pawn brokerage in Indonesia. we have this one customer, the largest national pawn brokerage in Indonesia.
  41. Irzan says that, with the same product and technology, Kata.ai helps its customers generate revenue instead of only saving costs. Same product, same technology. Instead of cost saving, we help our customers to generate revenue.
  42. Irzan believes the future of AI business is outcome-based, not charging by tokens or usage. the future of AI business that will build most out there is not charging by tokens, not charging by usage, but if you can build it by outcome models.
  43. Irzan says customers care about outcomes, not which models are used or how many. Customers, they don't don't care which models are using, how many models are using. What they care is about the outcome.
  44. Irzan says Kata.ai's principle is to put customer experience first and work backwards to the technology. Our principle is we put customer experience first. And we work backwards.
  45. Irzan says about 95% of Kata.ai's deployments run on WhatsApp. In our case it's 95% of our deployment on WhatsApp.
  46. Irzan says Kata.ai's memory combines persistent memory tied to CRM and CDP systems with lightweight session context. we do like both persistent memory uh that's reset on the CRM on the CDP but at the same time we also have this lightweight memory based on the sessions on the context too.
  47. Irzan says human-in-the-loop is still needed, even with the most advanced models. regardless with the most advanced model today, human in the loop is still needed.
  48. Irzan says Kata.ai once helped a customer reduce its headcount by 70%. we managed to reduce the headcount of our customer by 70%, for example, and they're happy with the result.
  49. Irzan says Kata.ai's top line doubled and its bottom line tripled in financial year 2025. What resulted uh to our business year uh financial year in 2025 our top line grew by double and our bottom line grew by triple.
  50. Irzan says demand for Kata.ai grew three to four times over two years on the same marketing budget, organically. imagine we have the same marketing budget but I think the last 2 years it has grown to three to four times when it comes to demand. Organically.
  51. Irzan credits Kata.ai's early AI leadership in Indonesia for its brand recognition with enterprise buyers. I think the fact that we were the trailblazer of AI in Indonesia we cemented our pathway our brand our presence
  52. Irzan says Kata.ai is growing three times over last year on revenue as of mid-2026. half 2026 you know, half year way to go We are growing three times already from the from last year on revenue aspect.
  53. Irzan says Kata.ai has around 60 people. What's the head count for your company right now? Around 60 people.
  54. Irzan says Kata.ai's 60 people are much more productive than the 100 people it had before. Do you think your productivity today with those 60 people is much higher than the 100 people that you had back in the day? Absolutely.
  55. Irzan says Kata.ai has been doing forward deployed engineering for 10 years. we've been doing FDs for the past 10 years because we see that um technology alone won't solve the customer's problem.
  56. Irzan estimates that about 80% of Kata.ai's deployments are equipped by forward deployed engineers. right now a lot of our deployments, I would say like 80% are equipped by FDs.
  57. Irzan believes AI exposes which people, organizations and countries can adapt and which are not willing to. AI exposes uh people, organization, country, the strong ones that can adapt and the weak ones that are not willing to adapt.
  58. Irzan estimates that in the next three to five years work will be about half AI and half human control. I would say it's still like, you know, half AI work and half human control to in the next what, 3 to 5 years?
  59. Irzan says real results depend on two things: ambition and tokens. the real results are two things, ambitions and tokens.
  60. Irzan says sovereign AI is existential for Indonesia, not a nice-to-have. And I think sovereign AI is not a nice-to-have for Indonesia. It's existential.
  61. Irzan says AI built by Indonesians for Bahasa Indonesia performs better in Indonesian markets. we've spent years proving that AI built by Indonesians for Bahasa Indonesia and our local context simply performs better for our markets.
  62. Irzan says sovereignty means Indonesia captures the value, controls its data and shapes its technology on its own terms. sovereignty isn't about closing ourselves off. It's about making sure Indonesia captures the value, controls the data, and shapes the technology on our own terms.
  63. Irzan says about 70% of white-collar workers in Indonesia bring their own AI tools to work. 70% of the white collar workers in Indonesia, they bring AI tools on their own. It's not provided by the company, but they bring on their own.
  64. Irzan says corporate bureaucracy and decision-making slow AI adoption in Indonesia. there's this excitement, but sometimes uh the bureaucracy decision-making is making things slower
  65. Irzan says Indonesia does not yet feel the urgency to use AI to survive. the real urgency if I use AI today or not, makes me survive or not, is not there yet.
  66. Irzan says Kata.ai can update its technology as it goes, as long as it does not break things. we can simply update the technology as we go as long as we don't break things, but improve things.
  67. Irzan says his lighthouse is the success of Kata.ai's customers. My lighthouse is the success of our customers, that we keep delivering values for our customers.
  68. Irzan says everybody will have their own AI, even running on devices. I think everybody will have their own AI even running on devices.
  69. Irzan says there should not be a monopoly from the big AI labs. there shouldn't be any monopoly coming from the big labs.
  70. Irzan believes society will split into two camps, those who benefit from AI and those left behind. I think there are two camps. One who could benefit and leverage AI will feel much much better and comfortable. But one who left behind, I think they'll become the the victim