Smarter Search. Relevant Results. Meaningful Recommendations.
Turn complexity into clarity with LLM-powered intelligence
Generic search bars and static recommendations are no longer enough. If your users struggle to find what they need—or if your platform fails to suggest what they actually want—you’re missing major opportunities. At DBot Software, we help organizations supercharge their platforms with LLM-powered search and recommendation engines that truly understand user intent and context. Don't let outdated UX limit your growth or frustrate your users another day.
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/The Challenge/
Traditional systems fail to deliver user-centric intelligence
Many businesses still rely on keyword-based search and basic filtering. These approaches often miss the nuance of user intent, lack personalization, and return irrelevant results. Whether you're running a logistics platform, an e-learning portal, or an e-commerce store, this leads to lost conversions, poor user satisfaction, and decision fatigue. Our client RIS Swiss School saw a 60% drop in administrative workload when we deployed contextual automation. Imagine applying that same level of precision to every user interaction.
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/Our Approach/
Missed signals cost opportunities—and customer trust
Failing to capture and act on contextual signals in real time is like operating in the dark. Poorly tailored results frustrate users, stall decision-making, and leave revenue on the table. On the other hand, implementing LLM-powered intelligence transforms search from a utility into a conversion engine. Imagine a platform that learns and improves with every interaction—delivering not just answers, but the right ones, at the right time.
/Get Started/
Let’s build your next-gen system—together
Whether you're exploring the possibilities or ready to deploy, we’re here to help. Book a free consultation to receive a tailored roadmap, estimated timeline, and pricing—all with no obligation. Let’s talk about how we can transform your platform with LLM-powered intelligence.
/What’s at Stake/
Avoid costly experiments and tech dead-ends
Choosing the wrong AI architecture can set you back months. That’s why our solutions are grounded in real-world results, delivered using agile processes and transparent communication. We mitigate risks through rapid prototyping, sandbox testing, and incremental deployment—so you're never flying blind.
Talk to an LLM Expert/Proven Results/
Strategic partnerships built on performance

Our long-term relationships are the result of delivering more than just code. Clients stay with DBot because we become a true extension of their team. From first workshop to post-launch optimization, we commit to your long-term success.
Real results from AI deployment
Our AI implementations have led to a 60% workload reduction for DD Bricks, 3x scalability for Alpega, and a 100% platform integration rate for RIS Swiss School. These aren't just projects—they’re transformations. Check out our case studies to see how LLM-powered intelligence reshaped our clients' operations.
Your questions, clearly answered
Here are some of the most common questions we get about LLM-powered search and recommendation systems.
Contact usHow is LLM-based search different from traditional keyword search?
LLMs interpret natural language, user intent, and context to deliver far more accurate, human-like results—going beyond simple keyword matching.
Is this suitable for my industry?
Yes. We’ve successfully deployed contextual engines for logistics, education, and retail. The model is trained on your data, tailored to your use case.
How do you ensure data privacy and compliance?
We offer both cloud and on-premise deployments. All systems are built with GDPR compliance, data encryption, and access controls from day one.
Can you integrate with my existing CRM or CMS?
Absolutely. Our team has experience integrating LLMs with Salesforce, HubSpot, WordPress, custom APIs, and more.
What’s the typical implementation timeline?
Depending on complexity, implementation usually takes 4–8 weeks including discovery, development, testing, and training.