Structured data grounding
Connect AI to structured data so answers are grounded in verifiable records rather than unverified text.
Baselight is a unified data layer for humans and AI. It connects language models and people to structured, verifiable data so analysis can stay grounded in source material instead of relying on guesses.
The product combines a public data catalog, an AI assistant, and a studio for SQL, AI, and visualization work. Its stated goal is to make insights explainable and auditable for individuals, teams, journalists, consultants, and developers who need data they can trace back to its origin.
Connect AI to structured data so answers are grounded in verifiable records rather than unverified text.
Support explainable results and auditability by keeping the reasoning tied to source data and traceable outputs.
Combine SQL, AI, and visualizations in one workspace for analysis and reporting workflows.
Browse a catalog of public data alongside private data that you upload, then work across both in the same environment.
Use natural language to analyze data without needing SQL for every question, while still producing structured results.
Expose the catalog to external models and tools through MCP connections for agentic workflows.
Use Baselight to let internal users ask questions in natural language while keeping answers tied to structured, traceable data.
Use the catalog and AI assistant to investigate public datasets, verify claims, and build data-backed stories with traceable figures.
Upload client or company data, combine it with public datasets, and use SQL or AI to produce analysis and dashboards.
Use MCP connections and the structured catalog to ground autonomous agents in verifiable context instead of static text.
Baselight positions itself as a unified data layer that connects AI and humans to structured, verifiable data. The homepage and pricing page suggest it is useful for grounded analysis, natural-language querying, and shared data work, but the source does not describe a separate setup flow in detail.
The pricing page states that Baselight includes access to the catalog from an LLM via MCP, and the homepage says developers can query structured data through MCP connections and integrate verified data into autonomous agents.
The pricing page describes a free Starter plan, a Builder plan, a Teams plan with a minimum of 5 seats, and an Enterprise plan with custom pricing. It also notes that limits can be topped up or adjusted depending on the plan.
The pricing page says teams and Enterprise users get individual limits per user for storage, processing, and AI assistant usage rather than a shared pool.
Baselight AI preview is described in a product post as an AI Chat experience that can analyze examples such as AI-related stocks and NBA games, while also showing reasoning that users can audit. The source does not document every available dataset or workflow.
GetESP 是一款用于分析 CSV 邮件列表的网页应用,可识别收件人 ESP 和支持的垃圾邮件防护工具,帮助发件人按服务商分组并选择匹配的提供商,以提升送达率。
Predictice 是面向法律专业人士的法律研究与分析平台,整合判例检索、诉讼分析、助手与文档审查流程,依托海量法律文档库提升检索与工作效率。
北极九章是一款企业级AI数据洞察引擎,支持用自然语言进行数据分析。业务人员可通过输入或语音提问,在企业工作流中快速获取图表化结果。
clickworker为企业提供人工生成与人工验证数据服务,包括问卷、门店检查、标签标注、名单构建、众包测试和AI训练数据,支持平台化项目与定制方案。
Rayyan 是一款用于系统综述和文献综述的 AI 平台,帮助研究人员和审查团队在共享工作流中完成筛选、数据提取、偏倚风险评估和报告。
Finlo 是一款网页端股票组合平台,提供精选的策略型组合、每月更新和高级研究工具,适合通过自己的券商账户跟随或复制股票思路的长期投资者。