This AI Finds Secrets In Your Business Data – Datakrib Startup Review

Your business data is like your own treasure chest. It’s full of valuables, right? Sales figures, customer behaviours, operational details – all that good stuff. But here’s the thing: are you really seeing everything inside? Reports tell you some things, sure. But they’re often…well, a bit basic. You have to know exactly what questions to ask. What if amazing opportunities or hidden problems are buried in there, just waiting to be found?

That’s exactly what a new startup, DataKriB, is doing. They’re using AI to help businesses like yours unlock those data secrets. It actively looks for trends, finds patterns you might miss, and learns what’s important to you. Even better? It connects to your current systems without making you move all your data around.

Intrigued? We were too. So, we sat down with Daniel Owen, DataKriB’s founder, to understand how they’re making AI find secrets in your business data.

What is DataKriB?

DataKriB is an innovative analytics platform designed to help businesses extract valuable insights from their existing data effortlessly. It caters to small to medium-sized businesses and enterprise teams in retail, finance, logistics, and HR sectors. These organisations often face the challenge of piecing together fragmented analytics tools that fail to deliver actionable insights. DataKriB addresses this gap by providing proactive and adaptive analytics that do not demand specialist technical expertise.

DataKriB stands apart by using machine learning to analyse data, spotting trends and opportunities you might overlook autonomously. Its continuous learning ability means that with each interaction, the insights grow more tailored and relevant, aligning perfectly with the evolving needs of your operations.

DataKriB prides itself on seamless integration. Unlike other platforms that require tedious data migration, it connects directly to data sources like AWS S3 or Salesforce without storing your information on their system. This ensures privacy and reduces complexity. Users enjoy customisable dashboards tailored to their unique business requirements, receiving timely and actionable recommendations in a format that’s easy to understand. This platform empowers businesses to make informed, swift, and confident decisions, steering them towards success.

DataKriB Founders

Daniel Owen hits the scene right away as the founder of DataKriB, a name that’s starting to echo in the AI analytics world. He’s not just a face in the crowd—Daniel steps up with a background that combines machine learning and data analytics. He moves past the hype, eyes fixed on innovation. With his expertise, Daniel crafts a vision for DataKriB that’s as clear-cut as its purpose: empower businesses with AI-driven insights.

Then there’s Fatimah, who navigates the delicate path between product management and machine learning. Her skill set isn’t just broad—it’s precise. She ensures DataKriB remains relevant, always aligning technical development with market demands. The platform reflects her finesse, marrying user needs with solid machine-learning models. In many ways, she is the bridge connecting DataKriB’s analytics prowess with practical, user-centric functionality.

Let’s not overlook Umoren, the mind behind making the complex simple through intuitive design. Her work doesn’t merely decorate; it demystifies. Umoren’s designs for DataKriB ensure that even the most non-technical user can easily navigate the analytics landscape. Simplicity is her tool, and with it, she ensures DataKriB stands out without shouting.

Tag, along with Joe and Divine, is the duo responsible for weaving together the frontend framework that powers DataKriB. Armed with expertise in React, they bring data to life. These two are all about creating interfaces that don’t just function—they engage. They ensure that your interaction with DataKriB is seamless, almost like conversing with a well-informed friend.

Daniel’s journey with DataKriB starts in the trenches, fuelled by a simple yet powerful realisation: static reports were insufficient. Many businesses are drowning in data but starving for insights. It was time to flip the script. The hustle is real, and the challenge? Equally so. Narrowing down a minimum viable product amidst endless possibilities requires an unwavering focus. He prioritises features like real-time insights and adaptive learning, modules designed to serve both the purpose and the user.

Behind the creation of DataKriB lies a drive to change how businesses engage with data. Daniel is more than a problem-solver; he’s an instigator of change. His vision for DataKriB is clear. Instead of businesses guessing what to ask from their data, it’s about letting the AI do the heavy lifting, revealing not just answers but the right questions. In essence, Daniel and his team are crafting a tool that helps companies navigate their data and truly understand it.

Interview with Daniel Owen, Founder of DataKriB

We had the chance to sit down with Daniel Owen, the person who started DataKriB, to get the inside story on how they are using AI to find secrets in business data. We wanted to know more about his vision and what makes DataKriB tick. Here’s how our conversation went.

Q: Daniel, can you start by telling us a bit about yourself and DataKriB? What exactly does your startup do?
A: Hi, it’s a pleasure to be here. I’m Daniel Owen, the founder of DataKriB. Simply put, DataKriB helps businesses see the hidden stories in their data. We use AI to provide adaptive analytics and custom dashboards. The best part is we integrate smoothly with your current systems without needing to move your data onto our platform.

Q: Who is DataKriB for? Which types of businesses benefit most from your platform?
A: We focus on small to medium-sized businesses, as well as larger enterprise teams. We see a lot of traction in sectors like retail, finance, logistics, and HR. These organisations often have data spread across different tools and struggle to get real, useful insights without a lot of technical work. We aim to bridge that gap.

Q: What is the main problem that DataKriB is trying to solve for these businesses?
A: The core issue is that many businesses aren’t getting proactive, actionable insights from their analytics. Traditional tools often give you static reports. You need to know exactly what to ask to get anything useful. This means many opportunities and problems hidden in the data are missed. These traditional tools also require specialist knowledge to use properly and often don’t adapt to the changing needs of a business. They just don’t learn or improve over time.

Q: And how does DataKriB address these problems? What’s different about your approach?
A: DataKriB is designed to be different. It’s an AI-driven analytics platform that actively looks for insights. It doesn’t just wait for you to ask questions. It uses machine learning to find trends and opportunities you might miss. It learns from how you use it, so the insights get more relevant over time. Importantly, it connects directly to your existing data sources, like AWS S3 or Salesforce. You don’t have to move your data, which is a big advantage for privacy and ease of use. We give users custom dashboards and real-time alerts, making it easy to understand and act on the insights.

Q: Could you elaborate on the technology behind DataKriB? How exactly does it find these hidden insights?
A: We use a combination of advanced AI techniques. This includes things like AutoML, clustering, and reinforcement learning. Our system scans and analyses data autonomously, looking for patterns and opportunities that might be hidden. We use reinforcement learning so the system learns from user feedback, making the insights more personalised and relevant as time goes on. We also use fine-tuned large language models, like GPT-4o, to explain insights in plain language. This makes it easier for users to understand and ask questions, like “How can I increase sales for Product A?”. They then get data-backed, easy-to-understand recommendations.

Q: Let’s talk about the team behind DataKriB. Who are the key people involved?
A: Our team is small but very skilled. I’m Daniel Owen, the founder and CEO, with a background in machine learning and AI. Fatimah is our Product Manager and also an AI/ML Engineer. She makes sure our product meets customer needs and contributes to model development. Umoren is our UI/UX Designer. She focuses on making DataKriB user-friendly, especially for people who aren’t technical experts. Joe and Divine are our Frontend Engineers, experts in React, and they build the user interface and ensure everything runs smoothly.

Q: What was the inspiration behind DataKriB? What motivated you to start this company?
A: I felt there was a real opportunity to do more with AI, to offer businesses something genuinely transformative. It wasn’t just about creating another analytics tool. It was about using AI to really change how businesses operate and to help them solve bigger problems. I believe AI can be a powerful force for good and DataKriB is our way of contributing to a smarter, more efficient world.

Q: What were some of the biggest challenges you faced in the early days of building DataKriB?
A: One of the first big challenges was deciding what to focus on for our initial product. We had so many ideas and features, but as a small team, we had to prioritise. We went back to our core idea – providing actionable insights – and focused on features like real-time insight discovery, adaptive learning, and custom dashboards. Technically, integrating AI/ML models with a scalable backend was also tough, especially with limited resources. We used cloud credits to access tools like AutoML, which helped a lot. And of course, convincing people that we were different in a crowded market was a hurdle. We focused on highlighting our unique features like proactive insight discovery and data integration without storage to show how we stand apart.

Q: How do you differentiate DataKriB from other analytics platforms already out there? What makes you stand out?
A: Our proactive, adaptive, and integrated approach is what sets us apart. Most competitors rely on users knowing what questions to ask. DataKriB actively hunts for insights. It finds trends and opportunities automatically. Our platform learns and adapts based on user feedback. This means the insights get better and more relevant over time. We also use LLMs to provide conversational insights, so you can ask questions in plain language and get actionable answers. Plus, we integrate with your data sources without storing your data, which is a big deal for privacy. We also have collaboration features, so teams can work together on insights, and customisable dashboards with predictive analytics. It’s this combination that makes DataKriB more intelligent, adaptable, and focused on user privacy.

Q: Has DataKriB received any external funding? And what are your plans for the future?
A: No, we haven’t taken external funding yet. Looking ahead, we have big plans to expand DataKriB’s capabilities. We want to make our insight discovery even more powerful by adding external data feeds, like market trends. We’re also developing industry-specific AI models to provide even more tailored advice for sectors like healthcare and finance. We plan to introduce a custom model marketplace, so users can add their own models. For larger businesses, we’re working on enterprise-level features and dedicated cloud options. We’re also investing in our continuous learning engine to make sure the platform keeps getting smarter and more responsive to user needs. And we’re planning to integrate with more tools like Slack and Jira to streamline workflows and expand into new markets.

Q: Can you give us an idea of DataKriB’s current revenue and customer base?
A: We are currently pre-revenue. We are still focused on building our MVP and haven’t started acquiring customers yet.

Q: Finally, what advice would you give to aspiring entrepreneurs looking to start their own businesses?
A: My main advice would be to be curious, be resilient, and focus on solving real problems. Start by finding a clear pain point and make sure your solution offers real value. Talk to your potential customers early and often. Listen to their feedback and be ready to adapt. Your product doesn’t need to be perfect to start with. It just needs to effectively address a problem. Be prepared for challenges, and remember that persistence is key. Build a strong team around you and always keep your focus on the impact you want to make. Business is about more than just money; it’s about creating something meaningful.

Feedough’s Take on DataKriB

DataKriB feels like a needed shift in the data analytics space. Many businesses gather loads of data but struggle actually to use it well. They get stuck in reports that only scratch the surface. What DataKriB is doing, using AI to find insights proactively, is smart. It’s not just about answering questions you already know to ask; it’s about revealing what you didn’t even know was there. This kind of approach could really shake up how smaller and medium businesses handle their data.

The focus on easy integration is another plus. Startups often fail when they ask too much of their users upfront. DataKriB connecting to existing systems avoids that hurdle. Making it user-friendly for non-technical people is also key for wider adoption. Challenges are always there for new companies. The analytics market is crowded, and getting noticed will be tough. But, if DataKriB can deliver on its promise of making AI-driven insights accessible, they’re positioned well to make a real impact. Expect them to push for smarter, more hands-off data analysis in the future.