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 most well-liked trade 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 drive multiplication. Pc science, to me, represents the final word software in amplifying essentially the most helpful functionality of individuals: the human thoughts.
It provides an extremely fast path from concept to realization—a trait that has propelled the exponential surge in innovation over the past 50 years. This energy of fast transformation and affect is what initially drew me to laptop science.
Now, with FLOWX.AI, we’re redefining how mission-critical software program might be constructed—which suggests we have now 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 one of the best expertise to the enterprise, as a result of that impacts so many lives downstream, and that is why we predict we might 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 might make constructing enterprise software program orders of magnitude extra environment friendly?
This could improve important companies like banking, utilities, or protection—making them extra interconnected, user-friendly, and extra environment friendly for folks to make use of. And, perhaps much more importantly, with the assets freed up we might 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 handle urgent social points. By optimizing enterprise software program improvement, we are able to 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 corporations and startups. What was one of many extra fascinating tasks that you simply labored on, and what did you study from this expertise?
We had been concerned in a variety of digital transformation tasks at Qualitance with each Fortune 500 corporations and startups.
This expertise introduced us to an important realization. Regardless of the fast evolution in client digital merchandise and substantial investments by massive companies, 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 can be right this moment 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
- Speedy fashionable digital product improvement – with the ability to reply to market wants and regulatory necessities in virtually real-time. There’s large competitors and the IT and enterprise groups must construct fashionable digital merchandise that present glorious consumer expertise rapidly and cheaply,
- Robustness – reliability, scalability, safety: as a result of enterprises deal with mission crucial 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 notice that the present strategies of software program improvement 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 with the ability to develop strong 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 had been both rigid vertical options or huge customized improvement tasks attempting to mix collectively a number of expertise platforms.
In consequence, 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 essentially 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 likely one of the hardest challenges enterprises face. This was notably evident inside massive monetary companies organizations.
I am unable to emphasize sufficient how irritating that is for everybody within the area. It’s miserable for engineers who must do tedious and unexciting work. It’s retaining enterprise leaders again as a result of they’ll’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 folks. Actually, we had been these folks 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 turned FLOWX.AI for over a decade. We had this huge 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 crew in London, it hit us. After 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 strong and exquisite mission-critical programs at a pace that was orders of magnitude increased.
Then, our first buyer, the biggest financial institution in Southeastern Europe, adopted our expertise and began utilizing it as their default digital improvement platform for a big a part of their enterprise— constructing digital platforms that had been dealing with each clients and workers—from your complete in-branch onboarding for each retail and company banking to asset administration platforms. Witnessing the pace at which they had been in a position to develop confirmed we had been certainly on the verge of a brand new revolution. With the identical crew and present programs, they had been in a position to develop in a number of weeks what used to take a 12 months or extra with FLOWX.AI.
Our innovation is the FlowX AI Core, enabled by a scalable, strong, 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. Now we have been large believers for a very long time now within the energy of AI to enhance and speed up human potential, and we have now introduced it to fruition throughout the core of our platform.
What are a number of the present issues with how enterprises are at the moment viewing code era?
The problem with automated code era is the notion that it’s—or that it ought to be—universally relevant, particularly in dealing with advanced programs. Whereas efficient for easier functions, it typically falls quick in additional refined 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, not like human engineers, lack the nuanced understanding essential to bridge and fill in specification gaps, regulate 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 pace up sure improvement processes, it hasn’t but advanced to totally grasp and handle the complexities of superior programs.
At FLOWX.AI, we have now taken a barely completely different path. Our method leverages AI to reinforce, not change, human experience. We give attention to utilizing AI to enhance human capabilities, guaranteeing that the event of advanced programs is not only accelerated but additionally exactly tailor-made to particular enterprise necessities. This technique goals to strike a stability, harnessing the pace and effectivity of AI with a “human-in-the-loop” method, retaining the crucial 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 particular and complicated wants of large-scale enterprises. Low-code additionally lacks the total energy and management of the widespread programming languages—and additional, it creates a resourcing constraint, having to seek out or upskill assets. And what companies want is the liberty and adaptability to construct and innovate. Because of this we introduced collectively generative AI with no-code visible design on an open BYOC structure which might be prolonged with any programming language.
Nevertheless, the main focus of digital product improvement goes past coding. It encompasses the creation of environment friendly processes, intuitive merchandise, and seamless consumer experiences. This holistic method is important in addressing the multifaceted challenges of enterprise resolution improvement.
FLOWX.AI was constructed to satisfy the end-to-end wants of constructing digital twins for enterprise companies. We don’t simply give attention to coding; we leverage the facility of AI to help in accelerating constructing advanced, bespoke enterprise options that take into account all facets of the digital product improvement lifecycle.
Might 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 provides a novel mix of effectivity, flexibility, and customization. It supplies pace, whereas nonetheless enabling full management over what folks construct.
That is a part of what we provide. Our method integrates AI, no-code, and coding strategies to construct complete digital options. I can break this down into 4 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 elements—course of, code, consumer expertise—considerably, decreasing preliminary improvement time.
- No-Code Visible Growth: With visible design interfaces, we permit for fast meeting and modification of functions, enabling fast prototyping and accelerated iterative improvement loops. This often takes completion to 90-95%.
- Deliver-Your-Personal-Code (BYOC) for Customization: The remaining bits, which require particular and detailed customizations, are dealt with by conventional coding BYOC in any programming language. This permits for the creation of extremely tailor-made options, guaranteeing that the ultimate product meets the precise wants and specs of the client.
- 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 screens and identifies issues in real-time.
The important thing benefit of this hybrid method might be seen particularly relating to making modifications and sustaining the software program. Groups growing on FlowX.ai can add in only a few weeks new performance that might 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 a lot of the complexity, dealing with non-functional necessities comparable to scalability and safety. In consequence, any code that must be created or modified lies in additional remoted elements, offering for extra management and testability. This setup makes it simpler to alter, 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 pace and ease of use with the power to create extremely personalized and complicated enterprise options as a result of it blends the pace of gen AI with the accessibility of visible design and the total energy and management of programming languages.
Extra importantly, this method frees up engineers from loads of 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 component in engineering includes refined pondering and problem-solving, areas the place human mind and creativity are irreplaceable. AI is adept at dealing with about 80% of duties, notably these which can be repetitive or thought of low-value. AI excels at effectively processing routine work with pace and accuracy, in the end enabling them to give attention to higher-level issues and modern options.
This can be a net-positive for engineers. The important thing shifting ahead is to determine create a synergistic relationship the place every enhances the opposite, resulting in a extra productive and modern engineering surroundings. This method underscores a future the place AI and human intelligence work in tandem, every enjoying to their strengths to attain higher outcomes within the subject of engineering and past.
Are you able to focus on the modern software modernization platform that FLOWX.AI has developed?
FLOWX.AI is the primary ever unified platform for end-to-end enterprise digital improvement, with an open structure that makes it straightforward to develop and lengthen additional – with any programming language.
On the core of the platform there may be an clever orchestration layer that may combine quick any – actually any kind – of present system, by the clever integration layer. On prime of the orchestration layer groups can develop fashionable digital merchandise once more very quick – by our AI-powered omnichannel consumer expertise layer,
As I discussed beforehand, FLOWX.AI brings collectively AI-assisted improvement, low-code / no-code in addition to full coding capabilities. This mix supplies enterprises with a versatile, scalable and strong platform they’ll use to construct and take functions to market.
We constructed FLOWX.AI in response to lack of innovation in software improvement. Conventional strategies are sometimes too inflexible and value prohibitive. No-code options, whereas promising in principle, have ceaselessly fallen quick in assembly the particular and complicated calls for of recent enterprises. Vertical level options are rigid and laborious to customise and develop additional – they’re not designed for steady improvement.
Our clients are reaching outstanding outcomes. As an illustration, a lot 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 impartial scaling and updating of various elements of the appliance with out disrupting your complete system.
This totally cloud-native framework ensures agility, resilience, and scalability, essential for dealing with the dynamic calls for of enterprise-level digital product improvement. Additionally it is an infrastructure-agnostic structure, which might be deployed in any cloud / multi-cloud / hybrid cloud setup or on-prem.
It additionally supplies excessive availability and fault tolerant deployment setups, that are important for sustaining uninterrupted service in mission-critical functions.
The mix of microservices and containerization in an open structure positions FLOWX.AI as a super platform for enterprises trying 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.