Michael Seibel

Datrics AI Analyst Builder - Your custom GenAI solution for analytics and reporting

AI Analyst Builder enables teams to create custom AI analysts without coding. These analysts answer data questions via a chat interface like ChatGPT. Tailored to specific business processes and data, it ensures accurate results and avoids hallucination.

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Anton Vaisburd
Hello Product Hunt Community!🙌 My name is Anton, CEO of Datrics. We're excited to introduce AI Analyst Builder, a platform that empowers product and analytics teams to unlock data insights without coding. Think of it as bringing the power of ChatGPT to your unique business data and processes. We know data often lives in silos, making it hard to get the insights you need. AI Analyst Builder breaks down those silos by allowing you to connect to any data source, tune-in your AI Analyst with your unique business logic, get answers in a conversational way, and avoid AI hallucinations. Imagine sales managers being able to ask your data questions in a chat interface and get accurate, insightful answers tailored to their specific business context. With AI Analyst Builder, they can. Our intuitive admin panel lets you seamlessly integrate with all your favorite data tools and platforms, train your AI Analyst with your unique processes and rules, and ensure accurate results without the risk of hallucinations. We're not just another text-to-SQL tool. AI Analyst Builder goes beyond simple queries. It empowers product and analytics teams to: ✅ Create custom AI analysts for product and analytics teams, powered by your business rules: Build AI models that understand your specific business context and provide tailored insights. ✅ Get faster insights: No more waiting for data teams to run reports. Ask your data questions directly and get answers in real-time. ✅ Customize dashboards without data teams: Create dynamic dashboards that adapt to your specific needs and business context. ✅ Empower business users: Give your team the ability to explore data, uncover trends, and make informed decisions without needing coding skills. Real-world use cases: 🚀Financial managers: Analyze financial performance, identify trends, and make informed decisions about investments and risk management. 🚀Sales teams: Forecast sales, identify high-potential leads, and personalize customer interactions. 🚀Operations teams: Optimize processes, identify bottlenecks, and improve efficiency. 🚀Marketing teams: Track campaign performance, understand customer segments, and optimize marketing strategies. 🚀Product teams: deliver enhanced analytics or dashboards to the clients within your product. We're excited to see what you build with AI Analyst Builder, and would love your feedback! 🎁 Bonus: Product Hunt is a fantastic platform for startups, and I really appreciate it. We are offering a FREE TRIAL to get feedback about our tool! https://platform.app.datrics.ai/...
@anton_vaisburd Huge congrats on your launch! Wishing you a journey filled with success and growth. What are your next steps post-launch?
Anton Vaisburd
@kjosephabraham thanks! We’re going to add more data connector like google ads soon + work with the interested existing and new companies to make sure that we are delivering the state of the art tool. In addition, more features are coming, like integration options, charts customization based on the preset style, more setting for flexibility etc.
Kyrylo Silin
Hey Anton, I'm curious, how does the AI ensure accuracy and prevent hallucinations in responses? Could you share any success stories from early adopters? Congrats on the launch!
Anton Vaisburd
@kyrylosilin thx for the question! I believe accuracy/trust is the main issue with a typical text-to-sql tools. Off-the-shelf products just simply not good enough for the majority of business cases, as companies need to incorporate their own vocabulary and business logic (e.g. formulas). Our solution for customization: give analysts/product teams the possibility to create their own processes - and then basically users function-call them from chat interface. We have a no-code data platform under the hood to make it happen! For example, financial analyst creates a process and formula to calculate LTV of the customer - and when Financial Manager asks about LTV in particular country, AI Analyst triggers the process that explicitly created by analyst before. Some of the examples of early adopters: finance teams (CFO copilot), HR tech companies to match vacancies and candidates, Revenue Operations / Sales (even we use it in a separate vertical product named Dealwave.ai), Product teams for B2B2B solutions to give conversational interface to their customers.
Gregory Karfo
Congratulations, Anton! I'm really impressed with the way it breaks down data silos and empowers teams to get real-time answers without coding. All the best to your team
Anton Vaisburd
@copyfrog thanks Gregory!
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Hey Anton, this is super impressive! 🙌 I love how AI Analyst Builder lets teams dive deep into their data without any coding hassle. It’s really cool that you’re breaking down data silos and empowering business users to get insights directly. The practical applications for sales, finance, and marketing sound game-changing! Can't wait to see how businesses will utilize this. Also, offering a free trial is such a smart move. Excited to give it a spin!
Faisal Ishaque
Wow, I really like how easy it is to use and connect. Well done guys! Question, in the future, would Datrics be able to create charts and graphical representations of the data and report? Datrics could then directly be used as an analytics plus reporting tool!
Kirill Kirikov
@faisal_ishaq1 Hello, Faisal; thank you for your question. Yes, Datrics can create graphical representations of data out of the box—just ask it! Automatic report generation is also coming soon.
Maison K. 🎯
just saw the video and its amazing! congrats on the launch!
Anton Vaisburd
@mohsen_khani thank you Maison!
Olena Yehorova
Congrats on the launch! Could you please clarify if AI Analyst Builder integrates with various PPC platforms (like Google Ads, Facebook Ads, etc.) to provide unified insights? And what kind of customizations can be made to tailor the AI Analyst to specific PPC campaign goals and metrics?
Oleksandr Buratynskyi
@olena_yehorova1 curious about the same
Kirill Kirikov
@olena_yehorova1 @sasha_buratynskyi Connectors are coming next month; we’ve been asked more than a few times here. However, to tailor a particular campaign performance, let’s discuss the use case. We can probably build a template for this.
Anton Vaisburd
@olena_yehorova1 @sasha_buratynskyi happy to catch up on your use cases and see if template might be of help!
Val
Hey, this AI Analyst Builder looks super cool! Breaking down data silos and letting anyone chat with their business data is really impressive. But I'm curious - how do you ensure users don't accidentally input incorrect data or rules? What safeguards are in place to catch potential human errors before the AI produces faulty insights? That could have major consequences for important business decisions. Do you have any built-in validation or error-checking to help prevent those kinds of mistakes?
Kirill Kirikov
Hey, @p_val ! Happy that you love the product. 1. Governance Tools: We utilize typical governance tools such as access controls and versioning to prevent incorrect settings for the AI analyst. 2. Automatic Checks: Answers are automatically checked for accuracy. Critical logic is developed using deterministic scenarios, such as code or no-code pipelines that could be created on Datrics Platform. These approach prevents hallucinations. 3. Feedback Mechanism: Users can provide feedback on the answers given by the agent, with an automatic semi-assessment of this feedback. 4. Safety Guardrails: We enforce safety input and output guardrails to ensure reliable and secure operations.
Dmytro Krasun
Accuracy and hallucinations will be the real problem. Did you tackle it anyhow? Congratulations on the launch!
Kirill Kirikov
@dmytro_krasun, you’re right, accuracy and hallucinations are real problems. However, the main idea is not to rely entirely on generating answers using LLMs but to leverage “saved” logic. For example, enterprises have their own methods for calculating business metrics, such as LTV or EBITDA. These formulas can be saved as text scenarios and used by our Agent. For more complex cases involving different data sources, this logic can be created using our no-code tool. It might involve getting values from Excel spreadsheets and databases, summing them up, and obtaining the result. In such cases, the LLM will recognize which “saved logic” to use and will use it to answer questions. Because the logic is, in fact, a deterministic scenario, there won't be any hallucinations.
Pavlo Pikulin
Perfect solution for analytics
Anton Vaisburd
@pavlo_pikulin Pavlo - thank you!
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