Ema Unlimited

The igniting spark behind why we started Ema Unlimited was one major fact — ?????? ???????????? ?????? ?????????????? ?????????? ???? ???????????????????? ???????????????? ????. And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions. But this won’t solve the deeper, fundamental issue: ???????????????????? ???????? ???? ?????????????? ????????????. Despite the proliferation of software, humans are still doing most of the work—if not more. 1?? ???????????? ???????? ????????????????: Research finds that over ????% ???? ???? ?????????????????????????? believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $???????? ?????? ????????, with businesses under significant pressure to downsize and ensure actual RoI from software investments. 2?? ???????????????????? ???????? ??????????: The average knowledge worker is spending about ???? ?????????? ?????? ???????? "?????????????? ????????" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information. 3?? ???????????????? ??????-??????-???????? ??????????????: The average enterprise is already ???????????????????? ?????? ???????? tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity. What we need is a new vision for enterprise software — and we believe this future lies in ?????????????? ????. In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being ????????????????????, ????????????????, ?????? ?????????????????????? ?????????????? ???? ??????????????. ???????????????????? ???????? ?????? ?????? ?????? ???????? ?????? ???????????????? ???????????????? ???????????????? — ?????? ???????? ?????? ???????????? ???? ????????????????. In the next-gen enterprise stack, ???????????????? ???????????????????? ???? ???????????? will flourish as an integrated part of the enterprise, executing workflows end-to-end and collaborating intelligently, as the organization's ???????????????????? ?????????????????? ????????????. To read more about ?????? ???????? ???? ???????? ?????? ?????? ???????????? ???? ??????????????, check out the latest blog from Ema Unlimited in the comments. And tell us what you think: Is SaaS dead? What's the future of enterprise software?

The igniting spark behind Ema Unlimited was one major fact — ?????? ???????????? ?????? ?????????????? ?????????? ???? ???????????????????? ???????????????? ????. And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions. But this won’t solve the deeper, fundamental issue: ???????????????????? ???????? ???? ?????????????? ????????????. Despite the proliferation of software, humans are still doing most of the work—if not more. 1?? ???????????? ???????? ????????????????: Research finds that over ????% ???? ???? ?????????????????????????? believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $???????? ?????? ????????, with businesses under significant pressure to downsize and ensure actual RoI from software investments. 2?? ???????????????????? ???????? ??????????: The average knowledge worker is spending about ???? ?????????? ?????? ???????? "?????????????? ????????" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information. 3?? ???????????????? ??????-??????-???????? ??????????????: The average enterprise is already ???????????????????? ?????? ???????? tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity. What we need is a new vision for enterprise software — and we believe this future lies in ?????????????? ????. In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being ????????????????????, ????????????????, ?????? ?????????????????????? ?????????????? ???? ??????????????. ???????????????????? ???????? ?????? ?????? ?????? ???????? ?????? ???????????????? ???????????????? ???????????????? — ?????? ???????? ?????? ???????????? ???? ????????????????. In the next-gen enterprise stack, ???????????????? ???????????????????? ???? ???????????? will flourish as an integrated part of the enterprise, working together intelligently like the organization's ???????????????????? ?????????????????? ????????????. To read more about ?????? ???????? ???? ???????? ?????? ?????? ???????????? ???? ??????????????, check out our latest blog in the comments. And tell us what you think: Is SaaS dead? What's the future of enterprise software?

The igniting spark behind Ema Unlimited was one major fact — ?????? ???????????? ?????? ?????????????? ?????????? ???? ???????????????????? ???????????????? ????. And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions. But this won’t solve the deeper, fundamental issue: ???????????????????? ???????? ???? ?????????????? ????????????. Despite the proliferation of software, humans are still doing most of the work—if not more. 1?? ???????????? ???????? ????????????????: Research finds that over ????% ???? ???? ?????????????????????????? believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $???????? ?????? ????????, with businesses under significant pressure to downsize and ensure actual RoI from software investments. 2?? ???????????????????? ???????? ??????????: The average knowledge worker is spending about ???? ?????????? ?????? ???????? "?????????????? ????????" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information. 3?? ???????????????? ??????-??????-???????? ??????????????: The average enterprise is already ???????????????????? ?????? ???????? tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity. What we need is a new vision for enterprise software — and we believe this future lies in ?????????????? ????. In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being ????????????????????, ????????????????, ?????? ?????????????????????? ?????????????? ???? ??????????????. ???????????????????? ???????? ?????? ?????? ?????? ???????? ?????? ???????????????? ???????????????? ???????????????? — ?????? ???????? ?????? ???????????? ???? ????????????????. In the next-gen enterprise stack, ???????????????? ???????????????????? ???? ???????????? will flourish as an integrated part of the enterprise, working together intelligently like the organization's ???????????????????? ?????????????????? ????????????. To read more about ?????? ???????? ???? ???????? ?????? ?????? ???????????? ???? ??????????????, check out our latest blog in the comments. And tell us what you think: Is SaaS dead? What's the future of enterprise software?

The igniting spark behind why we started Ema Unlimited was one major fact — ?????? ???????????? ?????? ?????????????? ?????????? ???? ???????????????????? ???????????????? ????. And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions. But this won’t solve the deeper, fundamental issue: ???????????????????? ???????? ???? ?????????????? ????????????. Despite the proliferation of software, humans are still doing most of the work—if not more. 1?? ???????????? ???????? ????????????????: Research finds that over ????% ???? ???? ?????????????????????????? believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $???????? ?????? ????????, with businesses under significant pressure to downsize and ensure actual RoI from software investments. 2?? ???????????????????? ???????? ??????????: The average knowledge worker is spending about ???? ?????????? ?????? ???????? "?????????????? ????????" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information. 3?? ???????????????? ??????-??????-???????? ??????????????: The average enterprise is already ???????????????????? ?????? ???????? tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity. What we need is a new vision for enterprise software — and we believe this future lies in ?????????????? ????. In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being ????????????????????, ????????????????, ?????? ?????????????????????? ?????????????? ???? ??????????????. ???????????????????? ???????? ?????? ?????? ?????? ???????? ?????? ???????????????? ???????????????? ???????????????? — ?????? ???????? ?????? ???????????? ???? ????????????????. In the next-gen enterprise stack, ???????????????? ???????????????????? ???? ???????????? will flourish as an integrated part of the enterprise, executing workflows end-to-end and collaborating intelligently, as the organization's ???????????????????? ?????????????????? ????????????. To read more about ?????? ???????? ???? ???????? ?????? ?????? ???????????? ???? ??????????????, check out the latest blog from Ema Unlimited in the comments. And tell us what you think: Is SaaS dead? What's the future of enterprise software?

The igniting spark behind Ema Unlimited was one major fact — ?????? ???????????? ?????? ?????????????? ?????????? ???? ???????????????????? ???????????????? ????. And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions. But this won’t solve the deeper, fundamental issue: ???????????????????? ???????? ???? ?????????????? ????????????. Despite the proliferation of software, humans are still doing most of the work—if not more. 1?? ???????????? ???????? ????????????????: Research finds that over ????% ???? ???? ?????????????????????????? believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $???????? ?????? ????????, with businesses under significant pressure to downsize and ensure actual RoI from software investments. 2?? ???????????????????? ???????? ??????????: The average knowledge worker is spending about ???? ?????????? ?????? ???????? "?????????????? ????????" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information. 3?? ???????????????? ??????-??????-???????? ??????????????: The average enterprise is already ???????????????????? ?????? ???????? tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity. What we need is a new vision for enterprise software — and we believe this future lies in ?????????????? ????. In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being ????????????????????, ????????????????, ?????? ?????????????????????? ?????????????? ???? ??????????????. ???????????????????? ???????? ?????? ?????? ?????? ???????? ?????? ???????????????? ???????????????? ???????????????? — ?????? ???????? ?????? ???????????? ???? ????????????????. In the next-gen enterprise stack, ???????????????? ???????????????????? ???? ???????????? will flourish as an integrated part of the enterprise, working together intelligently like the organization's ???????????????????? ?????????????????? ????????????. To read more about ?????? ???????? ???? ???????? ?????? ?????? ???????????? ???? ??????????????, check out our latest blog in the comments. And tell us what you think: Is SaaS dead? What's the future of enterprise software?

?? DROPPING SOON ?? Watch out for our blog post on a topic that's been doing the rounds: Everyone is wondering about the rise of AI and how it will affect enterprise software — but definitive answers remain. Is SaaS really dead? And what will the future of enterprise software look like? Our latest blog post goes deep on this subject,?and will be live in a few hours. Follow now to stay updated.

?? DROPPING SOON ?? Watch out for our blog post on a topic that's been doing the rounds: Everyone is wondering about the rise of AI and how it will affect enterprise software — but definitive answers remain. Is SaaS really dead? And what will the future of enterprise software look like? Our latest blog post goes deep on this subject,?and will be live in a few hours. Follow now to stay updated.

We loved being the central node connecting the top CAIOs, CTOs, CIOs, and senior leaders at enterprises, as they discussed Agentic AI and the future of work ??

There's a lot of noise around AI today, which can make it hard to make sense of the space. ?? But we're here to explain the essentials clearly. Here's a quick explainer on Agentic AI, in five simple slides. Agentic AI is a new evolution in artificial intelligence, which won’t just assist humans, but also plan, reason, and collaborate to get work done from start to finish. Read through to understand how it actually works, and the core design patterns behind agentic AI: - Reasoning - Tool use - Planning - Multi-agent collaboration Stay tuned as we simplify the space, and make Agentic AI accessible for all enterprises. #AgenticAI #FutureOfWork #GenAI

Had a great time chatting with Anagh Prasad at SeedToScale, Accel about the broken state of enterprise software, and how we at Ema Unlimited are re-imagining the future of work with Agentic AI. The next generation of enterprise software will be intelligent, adaptive, and efficient, aligning costs of software with the actual value delivered. Excited to pioneer this transformation —?stay tuned.