Ioan Jacob, is the founder and CEO of FLOWX.AI, a revolutionary AI Utility Modernization Platform for enterprise mission-critical purposes. It’s a fashionable event-driven platform constructed on a microservices structure. It makes use of the preferred trade requirements for course of modeling, enterprise rule administration and integrates as simply with legacy methods as with the most recent APIs and RPAs.
What initially attracted you to laptop science?
I’ve all the time been captivated by the idea of leverage—the thought of power multiplication. Laptop science, to me, represents the last word device in amplifying probably the most precious functionality of individuals: the human thoughts.
It affords 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 influence is what initially drew me to laptop science.
Now, with FLOWX.AI, we’re redefining how mission-critical software program may be constructed—which suggests we have now a chance 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 for this reason we expect we may be so useful to the world. As we speak 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 is able to improve very 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 businesses can rapidly develop and deploy superior AI methods to streamline public companies, enhance healthcare supply, and tackle urgent social points. By optimizing enterprise software program improvement, 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 potential.
You beforehand Co-Based Qualitance, a platform that designed expertise and merchandise for Fortune 500 firms and startups. What was one of many extra attention-grabbing initiatives that you simply labored on, and what did you study from this expertise?
We have been concerned in a spread of digital transformation initiatives at Qualitance with each Fortune 500 firms and startups.
This expertise introduced us to a vital realization. Regardless of the fast evolution in client digital merchandise and substantial investments by giant 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 now difficult the enterprise:
- Integration – it wants to have the ability to combine seamlessly with present advanced expertise landscapes – from heritage mainframe architectures to fashionable methods
- Speedy fashionable digital product improvement – having the ability to reply to market wants and regulatory necessities in virtually real-time. There’s large competitors and the IT and enterprise groups have to construct fashionable digital merchandise that present glorious person expertise rapidly and affordably,
- Robustness – reliability, scalability, safety: as a result of enterprises deal with mission essential workloads, these are non-negotiable necessities.
These observations are on the core of constructing FLOWX.AI. Our focus is on empowering giant enterprises to rapidly and effectively develop and modernize digital platforms, whereas integrating seamlessly capabilities of any present or new methods.
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 proficient groups within the enterprise world for greater than a decade. I’ve seen how having the ability to develop strong and good software program stays extremely costly—regardless of the entry to wonderful expertise and the proliferation of applied sciences designed to resolve the issue.
Earlier than FLOWX.AI, the one choices for creating digital within the enterprise have been both rigid vertical options or large customized improvement initiatives making an attempt 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 methods. This, coupled with the rise in complexity, is holding probably the most proficient 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 notably evident inside giant monetary companies organizations.
I can not 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 preserving enterprise leaders again as a result of they’ll’t present their clients with the intuitive, scalable, and related companies they want. So that is what we responded to. We had been working facet by facet with these folks. The truth is, we had been these folks all through our careers. So we actually understood them and we needed to repair this drawback, to provide 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 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. After we realized that Revolut’s enterprise was constructed on high 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 delightful mission-critical methods at a pace that was orders of magnitude larger.
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 have been going through each clients and staff—from your entire in-branch onboarding for each retail and company banking to asset administration platforms. Witnessing the pace at which they have been capable of develop confirmed we have been certainly on the verge of a brand new revolution. With the identical workforce and present methods, they have been capable of 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 person expertise. We’ve been massive 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 present viewing code era?
The problem with automated code era is the notion that it’s—or that it must be—universally relevant, particularly in dealing with advanced methods. Whereas efficient for less complicated purposes, it usually 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 methods require. Automated instruments, in contrast to 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 completely grasp and handle the complexities of superior methods.
At FLOWX.AI, we have now taken a barely completely different path. Our strategy leverages AI to boost, not substitute, human experience. We deal with utilizing AI to enhance human capabilities, making certain that the event of advanced methods 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” strategy, retaining the essential insights and adaptableness 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 sophisticated 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 search out or upskill assets. And what companies want is the liberty and adaptability to construct and innovate. That is why we introduced collectively generative AI with no-code visible design on an open BYOC structure which may be prolonged with any programming language.
Nonetheless, the main focus of digital product improvement goes past coding. It encompasses the creation of environment friendly processes, intuitive merchandise, and seamless person experiences. This holistic strategy is significant 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 deal with coding; we leverage the facility of AI to help in accelerating constructing advanced, bespoke enterprise options that contemplate 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 affords a singular 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 strategy integrates AI, no-code, and coding strategies to construct complete digital options. I can break this down into 4 primary areas:
- AI-Generated Baseline: As we speak, the FlowX AI can generate round 60% to 80% of the event course of. This AI layer accelerates the creation of basic parts—course of, code, person expertise—considerably, decreasing preliminary improvement time.
- No-Code Visible Improvement: With visible design interfaces, we enable for fast meeting and modification of purposes, enabling fast prototyping and accelerated iterative improvement loops. This normally takes completion to 90-95%.
- Deliver-Your-Personal-Code (BYOC) for Customization: The remaining bits, which require particular and detailed customizations, are dealt with via conventional coding BYOC in any programming language. This permits for the creation of extremely tailor-made options, making certain that the ultimate product meets the precise wants and specs of the client.
- AI-Assisted Improvement 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 person expertise—and screens and identifies issues in real-time.
The important thing benefit of this hybrid strategy may be seen particularly with regards to making modifications and sustaining the software program. Groups creating on FlowX.ai can add in just some weeks new performance that may usually 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 equivalent 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.
In the end, combining AI, no-code, and conventional coding, balances pace and ease of use with the power to create extremely personalized and sophisticated 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 strategy 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 substitute engineers, it should increase their capabilities. The elemental human ingredient in engineering includes subtle 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 deal with higher-level issues and revolutionary options.
It is a net-positive for engineers. The important thing shifting 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 taking part in to their strengths to realize larger outcomes within the area 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 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’s an clever orchestration layer that may combine quick any – actually any kind – of present system, via the clever integration layer. On high of the orchestration layer groups can develop fashionable digital merchandise once more very quick – via our AI-powered omnichannel person 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 purposes to market.
We constructed FLOWX.AI in response to lack of innovation in utility improvement. Conventional strategies are sometimes too inflexible and value prohibitive. No-code options, whereas promising in idea, have regularly fallen brief in assembly the precise and sophisticated calls for of recent enterprises. Vertical level options are rigid and exhausting to customise and develop additional – they’re not designed for steady improvement.
Our clients are attaining exceptional outcomes. As an illustration, lots of our clients can combine round 20 methods 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 capable of 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 appliance with out disrupting your entire system.
This absolutely cloud-native framework ensures agility, resilience, and scalability, essential for dealing with the dynamic calls for of enterprise-level digital product improvement. It is usually an infrastructure-agnostic structure, which may 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 very important for sustaining uninterrupted service in mission-critical purposes.
The mix of microservices and containerization in an open structure positions FLOWX.AI as a great 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.