Federal research, policy and compliance consulting with data and AI delivery
Ripple Effect is a Rockville-based consultancy delivering research, evaluation, communications and program support to federal, private and non-profit clients. Current hiring skews toward legal and research roles at senior and principal levels, with job posts centered on human subjects protections and Common Rule compliance. A PyTorch and Keras footprint alongside retinal disease detection and severity projects points to applied medical AI work beyond traditional consulting.
Ripple Effect is a privately held consulting firm founded in 2003 and headquartered in Rockville, Maryland, with 201–500 employees. It supplies consulting services and staff talent to federal agencies, private companies and non-profits, covering policy and program management, research and evaluation, marketing and communications, change management, data analytics and digital transformation. Its teams include researchers, scientists, analysts and communicators. Delivery runs on the Microsoft Power Platform, ServiceNow, Drupal and multi-cloud infrastructure across Azure, AWS and GCP. Hiring is concentrated in the United States.
Ripple Effect uses Power BI, Power Apps, Power Automate, Python, PyTorch, Keras, ServiceNow, Drupal, Azure, AWS, GCP, GitLab, Jenkins, Kubernetes, Terraform, Ansible, Prometheus, Grafana, Jira, Confluence, MySQL and PostgreSQL.
Yes, hiring is accelerating, led by legal and research roles with additional engineering and marketing openings, mostly at senior and principal levels, all in the United States.
Projects include training curricula and webinars on human subjects protections, a Common Rule compliance training program, and AI tools for retinal disease detection, severity classification and progression prediction.
Other companies in the same industry, closest in size
Ripple Effect'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.