Agentic Data Engineering, For The Modern Stack 📚
Fluent In Your Data.
We're solving the biggest headache in data engineering: curating, cleaning, and preparing data for specific downstream tasks.
From spreadsheets and APIs to databases and docs, Krv helps organizations transform scattered, messy data into trustworthy, analysis-ready pipelines—fast. We use live knowledge graphs of your data stack to generate dynamic, tailored, multistage workflows. No more data engineering headaches, just natural language.
Built by data engineers and PhDs.
Adaptive Data Intelligence 📊
Krv Analytics transforms your enterprise data stack into a unified, AI-native framework. Rather than a one-size-fits-all solution, we roadmap infrastructure using a dynamic knowledge graph—then build purpose-specific agents and multimodal workflows for your data needs.
Automatic Cleaning and Preprocessing
Save time, maximize usage, and stay correct.
Multimodal Data Handling
Regardless of your data's medium, we've got you covered.
Catalogue Data for Future Predictions
Give you a leg up in predictive tasks via structured categorization.
Reliability Guarantees for Data Representation
Decisions have impacts - our metrics ensure a trustworthy data journey.
Proprietary Graph Algorithms
Uncover hidden structures with topological insights.
Bias Detection and Benchmarking
Ensure your results are representative and reliable.
Custom Workflows On Demand
No-code tools (n8n and Langflow) are like a fully stocked kitchen—you have all the ingredients and tools, but you still need to cook the meal yourself.
We're building the private chef of data workflows: just tell us what you want to eat, and our smart chef handles everything—selecting ingredients, cooking, and serving—so you don't have to lift a finger.
Representation Learning
We develop a deep understanding of your infrastructure, your data types, systems, and how they interconnect, for meaningful analysis. Think of it like learning the terrain before building roads: we ensure preprocessing and data engineering allign with downstream goals.
Generative Graph Modeling
We model agentic workflows as directed graphs. Using diffusion-based generative models, we spin up dynamic workflows from your data stack in response to natural language queries. These graph models guide agent behavior and integrate seamlessly with no-code orchestration platforms.
Well, unless your data magically cleans and structures itself (in which case, please sell us your product 😉), you need this. Most companies are sitting on piles of messy, multimodal data: text, tables, logs, images, whatever—which creates serious headaches, even for experienced data scientists. Krv doesn't just handle that complexity—we leverage it, turning chaos into a live knowledge graph that actually improves your data quality and unlocks smarter, faster downstream analysis. Got analysts but no data engineers? Krv fills the gap. Got data engineers? We're their copilot. Either way, we plug in fast and make your team way more productive.