AI & Data Science

Building AI-human partnerships with real impact

Cut through the hype with our data scientists and AI experts

From creating one of the first iPad apps in 2010 to pioneering work with machine learning and generative AI, our clients trust our experts in AI and data science to keep them ahead of technology trends while delivering solutions that meet business and customer needs. Working in cross-disciplinary teams, we combine expertise in the fast-moving AI landscape with proven, outcome-driven methods for ideation, risk mitigation, and product development. Together, our talent applies a human-first approach to creating intelligent products and experiences that unlock strategic insights and fuel organizational efficiency, creativity, and growth.

Our Approach

AI strategy and planning

Generating business impact starts with aligning stakeholders around your top AI use case or product opportunity. Leveraging knowledge of your target audience, market, tech stack, and risks along with our deep technical expertise, we’ll help you establish a clear vision for AI in your organization with defined goals and success criteria. We’ll also equip you with a plan for rapidly de-risking your efforts and accelerating the return on your investment.

Risk and solution exploration

By exploring and addressing risks early, you’ll pave the way for a smooth road ahead. To set you up for success, our UX and AI experts will identify all front- and back-end needs, from the UI framework and platform to the technologies, integrations, data sources, machine learning models, and custom training your solution will require. We’ll de-risk issues through tech spikes as we go and use prompt engineering for LLMs to achieve your desired conversational flow.

Prototyping and development

Bring your ideas to life with a functional AI-powered prototype. Our data scientists, engineers, and experience designers will collaborate to develop a proof of concept, integrating your data, key technology systems, and front-end UI features. We’ll test, measure, and iterate to improve usability, output quality, and consistency, refining your solution for maximum impact.

Learn from the AI experts in a webinar on

AI Prompt Engineering

Case Study

AI-Powered Tutor

A leading educational publisher sought to leverage generative AI and LLM technology to create an AI tutor that could increase student learning and homework success. A small R&P-led team spent one week collaborating intensively to build a prototype for gaining leadership buy-in on the project. The team then quickly brought an MVP into beta, while also conducting experiments to inform future functionality. The AI tutor accesses the publisher’s proprietary content and homework questions to provide high-quality support. Instead of simply giving answers, the tutor uses the Socratic method to encourage critical thinking and self-driven learning.

Uses generative AI and LLM technology to support learners

Built with direct access to course content and homework

By the Numbers

Guiding you from strategy definition to functional AI prototype in as little as 8 weeks

Leveraging AI, ML, and NLP in our work for 7 years and counting

Building cutting-edge digital products since our founding over 13 years ago

Case Study: Newt

A smart Q&A engine

With today’s ever-growing web of dispersed information and systems, providing fast, expert support to customers or employees across platforms is a challenge. Newt leverages AI and machine learning to enable real-time automated Q&A within Slack, MS Teams, and web applications, drawing on information from your shared files, Google Docs, SharePoint, and 3rd party services. Newt lets users ask questions in natural language and then rapidly searches all sources to return accurate, useful answers.

Real-time Q&A with natural language processing and machine learning

Accelerates support services, onboarding, and employee productivity