AI-native BI: ask in plain English, get governed SQL, charts and dashboards from 750+ sources. Flat rate from $1,000/mo.
Results for “YTS”
1010 tools found
Python framework for role-based multi-agent teams: Crews plus event-driven Flows, from MIT open source to enterprise suite.
Open-source AI gateway and LLM observability: one API for 100+ models, cost and latency tracking, prompt management.
Reactive Python notebook stored as pure .py files: no hidden state, Git-friendly, SQL built in, deploys as apps or WASM.
Open-source Python library that moves data from any source into your warehouse, handling schema and normalization for you.
Minimal, free web analytics that tracks visits without tracking people — no cookies, no personal data, no consent banner needed.
Open-source product + web analytics: funnels, cohorts, session replay and revenue tracking, self-hostable for free.
Open-source feature store that manages the machine-learning data teams use for both model training and real-time predictions.
Managed feature store and AI lakehouse platform for building production machine-learning systems with millisecond-latency feature serving.
Embedded analytics platform that lets SaaS products add self-service dashboards and AI-powered analytics directly inside their own app.
Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
Combined feature flag, A/B testing, product analytics and session replay platform, built to answer whether a feature actually worked, not just whether it shipped.
Developer-first usage-based billing platform with SQL-defined pricing metrics, built for SaaS and AI companies with complex or metered pricing.
Fully-managed change-data-capture platform that streams database changes into data warehouses in real time, without building Kafka/Debezium pipelines yourself.
Real-time usage metering and billing platform that tracks AI/API costs and turns them into invoices, budgets and cost controls.
Secure, disposable cloud sandboxes that let AI agents safely execute generated code without touching real production systems.
Gives AI agents their own email address, phone number and iMessage identity, so they can send, receive and act on real-world communication.
A ready-made storefront and billing layer that sits on top of your existing API gateway, so external developers can discover, sign up for, and pay to use your APIs without your team building that portal from scratch.
A control room for every AI system a company uses — tracking what exists, what risk it carries, and whether it meets legal requirements — so compliance doesn't mean chasing spreadsheets across departments when an audit or new regulation shows up.
Builds a living map of everything a user has told an AI agent over time — and how those facts connect and change — so the agent can pull up exactly the right context in under 200 milliseconds instead of re-reading an entire chat history.