Founded 2019
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as RivetAI Inc., RivetAI Inc. and Portkey, Inc. These Dropbase competitors have raised $15.8M and together serve more than 10K customers and employ over 311 team members.
AI & Machine Learning Operationalization (MLOps) Software
Leveraging cutting-edge AI technologies, RivetAI simplifies and automates the pre-production process, from script coverage and character breakdowns to budgeting and scheduling.
AI & Machine Learning Operationalization (MLOps) Software
Leveraging cutting-edge AI technologies, RivetAI simplifies and automates the pre-production process, from script coverage and character breakdowns to budgeting and scheduling.
AI & Machine Learning Operationalization (MLOps) Software
Portkey makes productionizing your AI app a breeze: - AI Gateway: Ensure app reliability with load balancing and automated fallbacks and manage all AI providers with one unified API. - Observability: Log your AI app in real-time and monitor key metrics, making debugging a breeze. - Prompt Management: Easily test, manage, version, and deploy prompts across all AI providers. - Privacy & Compliance: Keep data anonymous and stay compliant with SOC 2, GDPR, and ISO.
AI & Machine Learning Operationalization (MLOps) Software
Provider of a dispensary management tool designed to empower and educate cannabis retail employees. The company's tool facilitates to optimize day-to-day dispensary operations and communication channels, collect actionable data on marijuana-infused products from consumers, empower brands to better understand purchasing behaviors and optimize product development, enabling customers to get the information they need to make informed purchasing decisions.
AI & Machine Learning Operationalization (MLOps) Software
Trustt is a SaaS solution that guarantees product success with proprietary communities.
AI & Machine Learning Operationalization (MLOps) Software
Portkey makes productionizing your AI app a breeze: - AI Gateway: Ensure app reliability with load balancing and automated fallbacks and manage all AI providers with one unified API. - Observability: Log your AI app in real-time and monitor key metrics, making debugging a breeze. - Prompt Management: Easily test, manage, version, and deploy prompts across all AI providers. - Privacy & Compliance: Keep data anonymous and stay compliant with SOC 2, GDPR, and ISO.
AI & Machine Learning Operationalization (MLOps) Software
Minerva is a platform enabling anyone to create and sharing clickable instructions for anything on the internet.
AI & Machine Learning Operationalization (MLOps) Software
Developer of an enterprise search chat bot designed to synthesize data from multiple sources on demand. The company's platform simplifies the enterprise search process by removing the need for coding skills, enabling business professionals to access multiple data sources via a customizable chatbot.
AI & Machine Learning Operationalization (MLOps) Software
Octonius is your digital workspace for cloud collaboration.
AI & Machine Learning Operationalization (MLOps) Software
Alan de Souza built Reachbox.ai, an AI-powered cold email outreach platform offering email warmups, campaign automation, and lead enrichment. He scaled from zero revenue to $6 million ARR in just 18 months, serving 4,500 paying customers at $110 average revenue per user while growing 25% month-over-month with only 7.5% churn rate. His 27-person team generates $230,000 in revenue per employee, with 280 active affiliates driving 35% of all customers through a 20% lifetime commission program that pays out over $50,000 monthly. In this episode, Alan reveals how he added $5 million ARR in just 6 months using systematic customer feedback from 1,500+ conversations, why he still does 10 customer calls every day, and the exact affiliate strategy that turned his customers into a revenue-generating army earning lifetime commissions.
AI & Machine Learning Operationalization (MLOps) Software
Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.
AI & Machine Learning Operationalization (MLOps) Software
Alan de Souza built Reachbox.ai, an AI-powered cold email outreach platform offering email warmups, campaign automation, and lead enrichment. He scaled from zero revenue to $6 million ARR in just 18 months, serving 4,500 paying customers at $110 average revenue per user while growing 25% month-over-month with only 7.5% churn rate. His 27-person team generates $230,000 in revenue per employee, with 280 active affiliates driving 35% of all customers through a 20% lifetime commission program that pays out over $50,000 monthly. In this episode, Alan reveals how he added $5 million ARR in just 6 months using systematic customer feedback from 1,500+ conversations, why he still does 10 customer calls every day, and the exact affiliate strategy that turned his customers into a revenue-generating army earning lifetime commissions.
AI & Machine Learning Operationalization (MLOps) Software
SQL Admin | Reporting | DB Diagramming | Forms & more, Database | Reporting | Forms Server
AI & Machine Learning Operationalization (MLOps) Software
Paillor is a Gen-AI employee support and automation platform that unifies knowledge bases, SaaS automation, and help desk functionalities in one place. It streamlines work processes through Slack, Microsoft Teams, Google Chrome, or its website, enhancing productivity. Paillor manages various employee requests like software issues, troubleshooting, password resets, knowledge searches, on-offboarding. Using advanced LLMs and machine learning, it efficiently executes tasks across the organization.
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