Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
Products used by Databox
Explore the tech stack and tools that power Databox. See what products Databox uses for development, design, marketing, analytics, and more.
Design & Creative 1
Design & Creative 1
Amazon BedrockEasiest way to build and scale generative AI applications
5.0 (4 reviews)
For Genie's RAG layer, we needed managed infrastructure that wouldn't become its own engineering project to maintain. Bedrock let us connect our knowledge base, manage embeddings, and keep retrieval fast - without running our own vector infrastructure. The alternatives either required too much ops overhead or didn't integrate cleanly with the rest of our stack. Bedrock just worked, and that let us stay focused on the product.
LLMs 3
LLMs 3
LangchainLangChain’s suite of products supports AI development
5.0 (101 reviews)
We evaluated several orchestration frameworks before choosing LangGraph for Genie's agent architecture. The alternatives either abstracted too much away - making it hard to control exactly when and how tools get called - or couldn't handle the stateful, multi-step flows we needed. LangGraph gave us the right balance: explicit control over agent logic without building everything from scratch. When your AI is touching live business data, you can't afford unpredictable behavior.
Claude by AnthropicA family of foundational AI models
5.0 (684 reviews)
We run both Claude and OpenAI in Genie, and Claude earned its place for a specific reason: complex, multi-step reasoning. When a user asks something open-ended like "Where are we losing pipeline?" Genie needs to chain multiple tool calls, hold business context, and explain its thinking clearly. Claude handles that kind of depth better than the alternatives we tested. For the analytical heavy-lifting, it's the right engine.
OpenAIAPIs and tools for building AI products
5.0 (710 reviews)
We use OpenAI alongside Anthropic's Claude in Genie's core - and OpenAI earned its place for speed and instruction-following on structured tasks. When Genie needs to parse a complex business question, select the right tool to call, and return a clean, formatted response fast, OpenAI's models are consistently reliable. For an AI analyst, where users expect instant answers, latency and precision both matter.
General 1
General 1
LangSmithThe platform for agent engineering
Once Genie was running in production, we needed visibility into what the agent was actually doing - not just whether it returned an answer, but whether it made the right tool calls in the right order. LangSmith was the clearest choice for tracing agentic workflows end-to-end. Other options gave us logs; LangSmith gave us understanding. That difference matters when you're debugging why an AI analyst gave a wrong answer to a business question.