AI-powered risk and compliance platform built on Salesforce
Rhythm Innovations operates a risk management platform anchored in the Salesforce ecosystem—Sales Cloud, Service Cloud, Einstein, Data Cloud, and the emerging Agentforce—while layering in TensorFlow, PyTorch, and scikit-learn for AI-driven insights. The engineering-heavy hiring mix (6 engineers, 1 sales role, mostly senior) and active project list (AI automation, managed packages, headless CMS, AppExchange security review) suggest a company still solidifying product-market fit within the Salesforce partner channel while building toward standalone AI capabilities.
Notable leadership hires: Salesforce Technical Lead
Rhythm Innovations helps mid-market risk and compliance teams manage organizational resilience through AI-driven insights and planning tools. Founded in 2023 and based in Sunrise, Florida, the company operates a 51–200-person team. The product architecture combines Salesforce's CRM and cloud infrastructure (Sales Cloud, Service Cloud, Data Cloud, Agentforce) with proprietary ML models for risk detection and compliance automation. Current efforts span proof-of-concept environments, managed package development for AppExchange distribution, and infrastructure work (data migration, headless CMS, WordPress-based digital properties). The company is actively hiring senior engineers in the US and India, signaling engineering-driven scaling.
Salesforce (Sales Cloud, Service Cloud, Einstein, Data Cloud, Agentforce), MuleSoft, Copado, Python, TensorFlow, PyTorch, scikit-learn, React, Next.js, AWS, and Heroku. WordPress and Elementor power web properties.
Yes. 6 of 7 active roles are engineering positions (mostly senior-level). The company is hiring in the United States and India with steady velocity.
Sunrise, Florida. The company was founded in 2023 and is privately held.
Rhythm Innovations's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.