AI Data & Analytics

AgentOps provides tools to trace, debug, and deploy AI agents, with a Python package and engineering resources.

Mavarick helps manufacturers optimize robotic fleets, throughput, availability, and deployment through industrial analytics.

Gigasheet analyzes healthcare price transparency files, helping payers and providers benchmark rates and inspect machine-readable data.

DataHub helps users discover, access, and work with datasets, collections, and data solutions through an AI-native platform.

ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.

Ajelix provides AI chat and spreadsheet tools for data analysis, finance, marketing, presentations, and Google Workspace apps.

LIME provides explanations for predictions made by machine learning classifiers.

Canaryarena ranks AI models through chat, comparison, and community voting.

Tracking AI compares IQ scores assigned to frontier AI models and lets visitors explore the listed scores.

MathArena evaluates language models using math benchmarks and publishes model results.

Mokkup.ai creates dashboard wireframes with AI prompts and offers templates for Tableau and Power BI exports.

Ragas provides an evaluation framework for AI applications, according to its documentation page.

Can I Run AI Locally checks which open models a device can run based on GPU, memory, and other hardware details.

Sisense provides embedded analytics with pro-code, low-code, and no-code options for adding AI insights to products.

The Pile dataset combines 22 smaller datasets for language modeling research.

ccusage analyzes token usage and estimated costs for coding agent command-line tools.

PredictionBuilder builds machine learning predictions using linear regression.

Celoxis manages project portfolios, resource capacity, delivery schedules, budgets, and reporting for PMOs and project teams.

Sturppy helps startup founders create financial models and forecasts, with a virtual CFO feature and plans for early-stage or growing firms.

NLP Lab provides annotation and labeling tools for language data, with updates to trial licensing and export filters.

Extracta automates data extraction from documents and images, turning selected information into structured fields.

Lettria structures unorganized documents and other data into information that teams can use in regulated industries.

This article discusses challenges in evaluating language models and interpreting benchmark results.

Qualtrics collects experience data, simulates customer and employee journeys, and helps organizations analyze insights and take action.