Weaviate develops a hybrid SaaS platform to build search and recommendation systems. Its open-source AI vector search engine has extensions in the platform for specific use cases such as semantic search, plugins to integrate into any application, and a console to understand their data.
Integration.app is an AI-powered integration stack for SaaS apps. Product and engineering teams in software companies can use a suite of APIs, SDKs, UI components to build customer-facing integrations with multiple apps in one go, with the look & feel of your particular app. We're changing how integrations are being built by bringing AI & LLM components into play. You can now consistently perform API calls across multiple apps, with just a few lines of code. You can choose to integrate any of our 100+ connectors across various SaaS categories (CRMs, task management, accounting, etc.) or build your own custom connector for any app with an OpenAPI spec.
Weaviate develops a hybrid SaaS platform to build search and recommendation systems. Its open-source AI vector search engine has extensions in the platform for specific use cases such as semantic search, plugins to integrate into any application, and a console to understand their data.
Rupert is a GenAI, no-code signal-to-playbook solution for GTM teams looking to transition to a one-to-many, proactive operation. Rupert enables the distribution of predictive, timely, personalized, and actionable account-level signals for top of funnel, conversion, and upsell opportunities, churn risks, and user activation issues. Its core technology allows it to be the most advanced and the first data warehouse-native monitoring and alerting solution for downstream use cases. It utilizes proprietary semantic classification, signal enrichment, anomaly detection, root cause analysis capabilities, and more. As the only data warehouse-native signal-to-playbook solution, Rupert allows its customers to easily predict and track in real time signals across the entire customer 360 data–product usage, CRM, support, financial data, and more. With strong integrations with operational GTM tools (e.g. Salesforce, Outreach, etc.), Rupert enables teams to capitalize on these personalized signals with signal-triggered playbooks–think “Workato/Zapier on top of signals.” By working Rupert’s predictive signals and playbooks, GTM teams can replace the failing dependency on the lagging, over-aggregated health scores to prioritize lead/customer engagements and tasks. GTM leadership and ops teams get full visibility into how SDRs/AMs/CSMs/etc are following, executing, and capitalizing on their signals and playbooks. This allows them to easily experiment and find the signals and playbooks that best impact ToFu, New ARR, Expansion, and Retention KPIs, as well as better manage their proactive GTM teams.