Baselight

Baselight is a unified data layer that connects humans and AI to structured, verifiable data. It helps users analyze public and private datasets with natural language, SQL, visualizations, and auditable outputs.

リサーチツール

AI SQLアシスタント

AIデータマイニング

ウェブサイトを訪問

What Baselight is

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.

Core capabilities

Structured data grounding

Connect AI to structured data so answers are grounded in verifiable records rather than unverified text.

Verifiable, auditable analysis

Support explainable results and auditability by keeping the reasoning tied to source data and traceable outputs.

Unified analysis workspace

Combine SQL, AI, and visualizations in one workspace for analysis and reporting workflows.

Public and private data together

Browse a catalog of public data alongside private data that you upload, then work across both in the same environment.

AI-assisted querying

Use natural language to analyze data without needing SQL for every question, while still producing structured results.

MCP access for models and agents

Expose the catalog to external models and tools through MCP connections for agentic workflows.

Where Baselight fits

Internal copilots and team search
Use Baselight to let internal users ask questions in natural language while keeping answers tied to structured, traceable data.
Journalism and fact-checking
Use the catalog and AI assistant to investigate public datasets, verify claims, and build data-backed stories with traceable figures.
Consulting and reporting
Upload client or company data, combine it with public datasets, and use SQL or AI to produce analysis and dashboards.
Developer and agent workflows
Use MCP connections and the structured catalog to ground autonomous agents in verifiable context instead of static text.

Pros and Cons

Pros

Connects AI to structured, verifiable data instead of leaving models to guess from text alone.
Supports explainable and auditable outputs, which matters for fact-checking and review workflows.
Combines public datasets, private uploads, querying, and visualization in one workspace.
Offers plan options for individuals, teams, and enterprise buyers, including a free tier.
Supports MCP access, which can fit agent and developer workflows.

Cons

The public pages do not provide detailed documentation for all integrations, workflows, or supported data sources.
Some usage details are still presented at a marketing level, so readers may need to evaluate the product directly to understand fit for their stack and data volume.

FAQ

What is Baselight used for?

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.

Does Baselight support MCP connections?

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.

What pricing options are available?

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.

How do team limits work?

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.

What can Baselight AI do?

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.

Quick Facts

Category: Data platform
Primary users: Individuals, teams, journalists, consultants, analysts, agents, and developers
Core workflow: Query structured data with natural language, SQL, and visualizations
Pricing: Free Starter plan; paid Builder, Teams, and Enterprise options
Access method: Web app with MCP support
Source domain: baselight.ai

Baselightの代替品

GetESP

GetESPは、CSVのメールリストを分析し、受信者のESPと対応するスパム対策ツールを特定するWebアプリです。配信先を分け、最適な送信先を選んで到達率向上に役立ちます。

Predictice

Predicticeは、法律専門家向けの法務リサーチ・分析プラットフォームです。判例検索、訴訟分析、アシスタント、文書監査を大規模な法務文書データベース上で提供します。

北极九章

北极九章は、自然言語でデータ分析できる企業向けAIデータインサイトエンジンです。テキストや音声で質問し、業務フロー内でグラフ付きの結果を得られます。

clickworker

clickworkerは、アンケート、店舗調査、タグ付け、リスト作成、クラウドテスト、AI学習データなど、人力で生成・検証されたデータを必要とする企業向けデータサービスを提供します。

Rayyan

Rayyanは、システマティックレビューと文献レビュー向けのAI搭載プラットフォームです。スクリーニング、抽出、バイアスリスク評価、レポート作成までを共有ワークフローで管理できます。

Finlo

Finloは、厳選された戦略別ポートフォリオ、毎月の更新、プレミアム調査ツールを提供する株式ポートフォリオプラットフォーム。長期投資家が自分の証券口座で株のアイデアを追跡・コピーできます。