Ioan Jacob, is the founder and CEO of FLOWX.AI, a revolutionary AI Utility Modernization Platform for enterprise mission-critical functions. It’s a fashionable event-driven platform constructed on a microservices structure. It makes use of the preferred business requirements for course of modeling, enterprise rule administration and integrates as simply with legacy programs as with the most recent APIs and RPAs.
What initially attracted you to laptop science?
I’ve at all times been captivated by the idea of leverage—the concept of pressure multiplication. Pc science, to me, represents the final word software in amplifying probably the most worthwhile functionality of individuals: the human thoughts.
It gives an extremely speedy path from concept to realization—a trait that has propelled the exponential surge in innovation during the last 50 years. This energy of speedy transformation and influence is what initially drew me to laptop science.
Now, with FLOWX.AI, we’re redefining how mission-critical software program could be constructed—which implies we’ve a possibility to spice up the expansion curve itself. Our world runs on enterprise software program – banking, utilities, agriculture, protection – enterprise software program undergirds our civilization. And there’s a lot leverage to bringing the very best expertise to the enterprise, as a result of that impacts so many lives downstream, and for this reason we expect we could be so useful to the world. At present we’re spending trillions of {dollars} to construct, run and keep that layer of expertise.
So, give it some thought: what if we may make constructing enterprise software program orders of magnitude extra environment friendly?
This might improve very important companies like banking, utilities, or protection—making them extra interconnected, user-friendly, and extra environment friendly for individuals to make use of. And, possibly much more importantly, with the sources freed up we may significantly speed up the tempo of innovation.
Think about, for instance, a world the place authorities companies can rapidly develop and deploy superior AI programs to streamline public companies, enhance healthcare supply, and deal with urgent social points. By optimizing enterprise software program growth, we will unlock a brand new period of technological progress and societal development.
We’re not simply a part of the tech revolution; we’re redefining its boundaries of what’s attainable.
You beforehand Co-Based Qualitance, a platform that designed expertise and merchandise for Fortune 500 firms and startups. What was one of many extra fascinating tasks that you simply labored on, and what did you be taught from this expertise?
We have been concerned in a spread of digital transformation tasks at Qualitance with each Fortune 500 firms and startups.
This expertise introduced us to a vital realization. Regardless of the speedy evolution in client digital merchandise and substantial investments by massive firms, there was an enormous hole in constructing and taking digital options to market, particularly in mission-critical and core enterprise areas like banking.
This problem was (and nonetheless is) particularly pronounced within the monetary sector, however is equally prevalent throughout all enterprise sectors.
We understood the necessity for digital transformation platforms to supply capabilities on three key dimensions which are in the present day difficult the enterprise:
- Integration – it wants to have the ability to combine seamlessly with present advanced expertise landscapes – from heritage mainframe architectures to fashionable programs
- Fast fashionable digital product growth – having the ability to reply to market wants and regulatory necessities in virtually real-time. There may be super competitors and the IT and enterprise groups have to construct fashionable digital merchandise that present wonderful consumer expertise rapidly and affordably,
- Robustness – reliability, scalability, safety: as a result of enterprises deal with mission important workloads, these are non-negotiable necessities.
These observations are on the core of constructing FLOWX.AI. Our focus is on empowering massive enterprises to rapidly and effectively develop and modernize digital platforms, whereas integrating seamlessly capabilities of any present or new programs.
When did you first understand that the present strategies of software program growth are damaged and never scalable?
Complexity within the enterprise world has elevated exponentially, and so have prices and the time it takes to get merchandise to market.
That is what I’ve skilled working alongside many gifted groups within the enterprise world for greater than a decade. I’ve seen how having the ability to develop sturdy and good software program stays extremely costly—regardless of the entry to superb expertise and the proliferation of applied sciences designed to resolve the issue.
Earlier than FLOWX.AI, the one choices for growing digital within the enterprise have been both rigid vertical options or large customized growth tasks attempting to mix collectively a number of expertise platforms.
Consequently, groups within the enterprise world are constrained by lack of flexibility to construct what they want and are restricted by proprietary programming languages and legacy programs. This, coupled with the rise in complexity, is holding probably the most gifted groups again. These groups get sucked into tedious and low-return work that hardly, marginally strikes the needle. Spiraling IT prices together with diminishing returns is without doubt one of the hardest challenges enterprises face. This was significantly evident inside massive monetary companies organizations.
I am unable to emphasize sufficient how irritating that is for everybody within the house. It’s miserable for engineers who should do tedious and unexciting work. It’s retaining enterprise leaders again as a result of they will’t present their clients with the intuitive, scalable, and linked companies they want. So that is what we responded to. We had been working aspect by aspect with these individuals. In actual fact, we had been these individuals all through our careers. So we actually understood them and we needed to repair this downside, to offer them again the management of their expertise, of their enterprise.
What was the genesis story behind FLOWX.AI?
We had been engaged on the platform that in the end grew to become FLOWX.AI for over a decade. We had this large feeling that we’re sitting on one thing extremely highly effective, however we couldn’t fairly put our finger on it.
Then, throughout a gathering with Revolut’s workforce in London, it hit us. Once we discovered that Revolut’s enterprise was constructed on prime of Barclays core banking system, we realized that we had on our arms a platform that would allow any financial institution to develop sturdy and exquisite mission-critical programs at a velocity that was orders of magnitude greater.
Then, our first buyer, the most important financial institution in Southeastern Europe, adopted our expertise and began utilizing it as their default digital growth platform for a big a part of their enterprise— constructing digital platforms that have been going through each clients and staff—from the whole in-branch onboarding for each retail and company banking to asset administration platforms. Witnessing the velocity at which they have been in a position to develop confirmed we have been certainly on the verge of a brand new revolution. With the identical workforce and present programs, they have been in a position to develop in a number of weeks what used to take a yr or extra with FLOWX.AI.
Our innovation is the FlowX AI Core, enabled by a scalable, sturdy, and open structure. Our AI Core is the first-ever enterprise AI that may cohesively mannequin expertise, enterprise processes and enterprise guidelines, and consumer expertise. We’ve got been large believers for a very long time now within the energy of AI to enhance and speed up human potential, and we’ve introduced it to fruition inside the core of our platform.
What are a few of the present issues with how enterprises are at present viewing code technology?
The problem with automated code technology is the notion that it’s—or that it must be—universally relevant, particularly in dealing with advanced programs. Whereas efficient for easier functions, it typically falls brief in additional subtle environments. This is not only a limitation of the expertise itself however stems from the intricacies in creating detailed specs that such programs require. Automated instruments, in contrast to human engineers, lack the nuanced understanding essential to bridge and fill in specification gaps, modify advanced logic, and handle deep integration and decision-making processes.
Furthermore, there is a threat in underestimating the worth of human enter and experience. Though automation can velocity up sure growth processes, it hasn’t but advanced to totally grasp and handle the complexities of superior programs.
At FLOWX.AI, we’ve taken a barely completely different path. Our strategy leverages AI to boost, not change, human experience. We deal with utilizing AI to enhance human capabilities, guaranteeing that the event of advanced programs isn’t just accelerated but additionally exactly tailor-made to particular enterprise necessities. This technique goals to strike a stability, harnessing the velocity and effectivity of AI with a “human-in-the-loop” strategy, retaining the important insights and flexibility of human oversight.
Why is changing coding with no-code or low-code instruments not the answer?
The restrictions of no-code instruments stem from their inherent simplicity which, whereas user-friendly, fail to satisfy the precise and complicated wants of large-scale enterprises. Low-code additionally lacks the complete energy and management of the widespread programming languages—and additional, it creates a resourcing constraint, having to search out or upskill sources. And what companies want is the liberty and suppleness to construct and innovate. This is the reason we introduced collectively generative AI with no-code visible design on an open BYOC structure which could be prolonged with any programming language.
Nevertheless, the main focus of digital product growth goes past coding. It encompasses the creation of environment friendly processes, intuitive merchandise, and seamless consumer experiences. This holistic strategy is significant in addressing the multifaceted challenges of enterprise resolution growth.
FLOWX.AI was constructed to satisfy the end-to-end wants of constructing digital twins for enterprise companies. We don’t simply deal with coding; we leverage the ability of AI to help in accelerating constructing advanced, bespoke enterprise options that take into account all elements of the digital product growth lifecycle.
May you share your views on the advantages of making a hybrid of low-code and coding?
Making a hybrid of low-code and coding may be very highly effective as a result of it gives a novel mix of effectivity, flexibility, and customization. It offers velocity, whereas nonetheless enabling full management over what individuals construct.
That is a part of what we provide. Our strategy integrates AI, no-code, and coding methods to construct complete digital options. I can break this down into 4 most important areas:
- AI-Generated Baseline: At present, the FlowX AI can generate round 60% to 80% of the event course of. This AI layer hurries up the creation of basic parts—course of, code, consumer expertise—considerably, decreasing preliminary growth time.
- No-Code Visible Growth: With visible design interfaces, we permit for fast meeting and modification of functions, enabling speedy prototyping and accelerated iterative growth loops. This normally takes completion to 90-95%.
- Convey-Your-Personal-Code (BYOC) for Customization: The remaining bits, which require particular and detailed customizations, are dealt with by way of conventional coding BYOC in any programming language. This enables for the creation of extremely tailor-made options, guaranteeing that the ultimate product meets the precise wants and specs of the shopper.
- AI-Assisted Growth and Optimization: our AI helps enterprise groups keep consistency over time as they modify and replace performance and expertise, but additionally suggests enhancements—from expertise to course of and consumer expertise—and displays and identifies issues in real-time.
The important thing benefit of this hybrid strategy could be seen particularly in the case of making modifications and sustaining the software program. Groups growing on FlowX.ai can add in only a few weeks new performance that may sometimes take years so as to add to an present system. That’s as a result of we offer options that assist customers simply make modifications and since our platform encapsulates many of the complexity, dealing with non-functional necessities corresponding to scalability and safety. Consequently, any code that must be created or modified lies in additional remoted parts, offering for extra management and testability. This setup makes it simpler to vary, observe and audit modifications, but additionally to check issues – main to an enormous discount in effort and upkeep.
Finally, combining AI, no-code, and conventional coding, balances velocity and ease of use with the flexibility to create extremely custom-made and complicated enterprise options as a result of it blends the velocity of gen AI with the accessibility of visible design and the complete energy and management of programming languages.
Extra importantly, this strategy frees up engineers from numerous tedious duties and ongoing upkeep, so innovation doesn’t stall.
How will AI increase engineers versus changing them?
Our perception is AI cannot and won’t change engineers, it is going to increase their capabilities. The elemental human factor in engineering includes subtle considering and problem-solving, areas the place human mind and creativity are irreplaceable. AI is adept at dealing with about 80% of duties, significantly these which are repetitive or thought of low-value. AI excels at effectively processing routine work with velocity and accuracy, in the end enabling them to deal with higher-level issues and revolutionary options.
It is a net-positive for engineers. The important thing transferring ahead is to determine find out how to create a synergistic relationship the place every enhances the opposite, resulting in a extra productive and revolutionary engineering setting. This strategy underscores a future the place AI and human intelligence work in tandem, every enjoying to their strengths to realize better outcomes within the subject of engineering and past.
Are you able to talk about the revolutionary utility modernization platform that FLOWX.AI has developed?
FLOWX.AI is the primary ever unified platform for end-to-end enterprise digital growth, with an open structure that makes it straightforward to develop and prolong additional – with any programming language.
On the core of the platform there’s an clever orchestration layer that may combine quick any – actually any kind – of present system, by way of the clever integration layer. On prime of the orchestration layer groups can develop fashionable digital merchandise once more very quick – by way of our AI-powered omnichannel consumer expertise layer,
As I discussed beforehand, FLOWX.AI brings collectively AI-assisted growth, low-code / no-code in addition to full coding capabilities. This mix offers enterprises with a versatile, scalable and sturdy platform they will use to construct and take functions to market.
We constructed FLOWX.AI in response to lack of innovation in utility growth. Conventional strategies are sometimes too inflexible and value prohibitive. No-code options, whereas promising in principle, have regularly fallen brief in assembly the precise and complicated calls for of contemporary enterprises. Vertical level options are rigid and onerous to customise and develop additional – they’re not designed for steady growth.
Our clients are reaching outstanding outcomes. For example, lots of our clients can combine round 20 programs in simply 4-6 weeks and develop, construct, and launch advanced digital options like digital mortgages inside 8 to 12 weeks.
Why is that this resolution in a position to scale so properly?
FLOWX.AI is constructed on a state-of-the-art, elastically-scalable, event-driven structure, which depends on microservices and containerization. Using microservices structure additional enhances scalability by permitting for the unbiased scaling and updating of various elements of the applying with out disrupting the whole system.
This totally cloud-native framework ensures agility, resilience, and scalability, essential for dealing with the dynamic calls for of enterprise-level digital product growth. It is usually an infrastructure-agnostic structure, which could be deployed in any cloud / multi-cloud / hybrid cloud setup or on-prem.
It additionally offers excessive availability and fault tolerant deployment setups, that are very important for sustaining uninterrupted service in mission-critical functions.
The mixture of microservices and containerization in an open structure positions FLOWX.AI as a perfect platform for enterprises seeking to innovate quickly whereas sustaining excessive requirements of reliability and safety. This structure not solely helps the present technological wants of enterprises but additionally positions them to effortlessly adapt to future developments and challenges within the digital panorama.
