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Training analysis for running, cycling and triathlon records

Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.

Data governance that builds a deterministic knowledge graph from code and data

AI business plan generator with three-year financial projections

Build repeatable microscopy image-analysis pipelines

Inspect technical page issues, group domain findings and monitor search or AI-brand visibility.

Bring business analysis, scenario modelling and planning into a shared data context.

Self-hosted database observability that links node health to slow queries.

Civil-service preparation with daily news analysis, quizzes, answer writing and mentoring programmes.

Inspect keyword result pages in bulk and investigate their competitive context.

AI-powered conversion analysis for landing pages, marketing sites and product pages.

Run analytical SQL in an embedded database from a local process or Python program.

Read options positioning beside price levels and live hedging estimates

Find unusual ledger transactions and organize the follow-up investigation

Experiment with financial language models, sentiment and forecasts

Trace crypto balances and unmatched transactions before preparing reports

Check the holdings and exposures hidden behind ETF names

Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.

Follow CFD markets with chart controls and a separate demo environment

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.

Scan options with your own filters and compare the trade scenarios

Load, reshape, and analyze labeled tabular and time-series data with Python.

A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.

Compare strategy experiments across assets, parameters and historical periods