Real AI agent traffic analytics from your server logs
Best for: Marketing and SEO teams tracking brand visibility across AI platforms, Developer-focused teams verifying docs fetched by coding agents like Claude Code and Cursor
Embed AI dashboards and conversational BI into SaaS products.
Best for: Product teams embedding branded AI analytics into SaaS apps for user retention, Agencies needing white-labeled client reporting with quick turnaround
Enterprise AI infrastructure for lossless tabular data compression and stateful agent persistence
Best for: Enterprise data engineers managing petabyte-scale tabular lakes on Iceberg, Delta Lake, or Databricks, AI/ML teams running long-lived agents that need state persistence across sessions
AI-native spreadsheet that turns your cell into a prompt—ask anything in plain English.
Best for: Marketing teams needing quick data analysis from ad platforms and spreadsheets, Business analysts who want to automate data cleanup and classification
A collaborative data workspace that unifies notebooks, SQL, and Python with AI agents, dashboards, and pipelines.
Best for: Data teams wanting a collaborative, cloud-native notebook with AI assistance and production features, Analysts building dashboards and reports without a separate BI tool
Open-source multimodal lakehouse for AI data curation, feature engineering, search, and training.
Best for: Autonomous vehicle perception pipelines processing petabytes of sensor data, Multimodal AI research teams curating and training on images, video, and audio
Open-source agentic AI data assistant for SQL, code, and reports
Best for: Developers building custom data AI assistants with SQL and code generation, Teams needing open-source agentic workflows for data analysis and reporting
Turn messy PDFs, invoices, and 64+ file types into GenAI-ready structured data.
Best for: Enterprise AI teams processing thousands of PDFs, invoices, and documents for RAG or fine-tuning, Data engineers who need automated parsing with chunking, embedding, and enrichment in one pipeline
Agentic analytics platform turning natural-language questions into trusted, governed insights for enterprises
Best for: Mid-to-large enterprises replacing static dashboards with agentic AI for faster, governed decisions, Data leaders scaling analytics across teams without adding headcount, using automated semantic modeling
AI spreadsheet that turns plain language into live data reports and dashboards.
Best for: Marketing teams needing automated reports from social media and ad platforms, Small-to-mid-sized businesses analyzing sales or operational data without a data analyst
Kensho is S&P Global's AI engine for vetted, LLM-ready financial data retrieval.
Best for: Financial institutions needing AI-ready S&P Global data for LLM and agent workflows, Enterprise AI developers building finance-specific applications with vetted, auditable data
Unified lakehouse platform for data, analytics, and AI at scale
Best for: Enterprises building large-scale data pipelines and AI agents, Data scientists and ML engineers needing end-to-end ML lifecycle with governance
AI-powered financial planning, close, and consolidation platform with explainable forecasting for CFOs
Best for: Finance teams needing AI-driven FP&A and close automation with explainable forecasts, Mid-to-large enterprises managing complex consolidations and multi-entity structures
No-code predictive analytics agent that turns plain English questions into reliable business predictions in minutes.
Best for: Business analysts who need quick predictive insights without data science support, Subscription and e-commerce teams predicting churn, LTV, and demand
