We focus on what existing challenges AI can solve and what entirely new opportunies AI can create. We start by deeply understanding the challenges we will solve, defining success metrics, and aligning on the outcomes that matter most to your business. By putting the problem first:
Our approach is designed to sequentially achieve success at each stage of AI product development. This framework provides a structured process that ensures nothing is overlooked, that your team is involved in the creation journey, and that we are building scalable and production-ready AI that provides a competitive advantage.
Identifies how AI could solve existing challenges and unlock new growth opportunities
Creates a unified data ecosystem that enables more informed decision-making by breaking down silos, enabling seamless data accessibility for the next stages. This unified data foundation integrates internal and external data sources to generate new insights, not just synthesize or retrieve from existing data.
Develops a robust ontology for your commercial function that defines the relationships between data entities, processes, and business concepts unique to the organization. This includes embedding logic (rules and conditions governing data relationships) and action (outputs tied to specific scenarios) so that AI operates within a structured, context-aware framework.
Adapts a wide variety of models and tools to your context for accuracy, contextual relevance, and guardrails, eliminating the need to build models from scratch.
Combines technical deployment with a robust adoption strategy to integrate fully operational AI solutions into existing workflows with minimal disruption. The ontology layer is leveraged to create user-friendly interfaces and dashboards that reflect your familiar terminologies.
Tracks the performance and ROI of deployed AI solutions—uses advanced analytics, KPI tracking, and commercial logic and ontology updates to measure success and identify areas for evolution.
We understand that organizations need tangible results before committing to transformative AI initiatives. That’s why we focus on building smart pilots – measured proof-of-concept products designed to validate their value and ROI in real-world scenarios. These pilots are not just experiments; they are carefully scoped to address critical business challenges, deliver actionable insights, and establish a clear roadmap for scaling.
A smart pilot is the first step. Once value is proven, we work with your team to create a measured roadmap for expansion. This roadmap ensures that the pilot evolves with exponentially increasing value, ultimately driving ecosystem transformation for your org.
The products we build are always use case-led, so we have a clear vision in mind and a clear metric (or three) to target. This drives the decisions we make with our clients on what data inputs we use, what features are built and what functionality does and does not make it into the final product. Many of our clients come to us having experimented first with LLMs or SaaS tools that are great at facilitating AI experimentation, but did not achieve tangible results for their use cases.
We work directly with different departments to build AI-powered products that drive their individual KPIs. Our strategy team is able to conduct thorough task analysis, design correct feedback loops, and establish human interaction protocols that set the groundwork for effective AI-native products. Once these products have been proven, we work to connect them at an operating model level via APIs and data input sharing to create exponential outcomes.
We love to find the best software tools out there and integrate them into our products if the ROI is high-enough, but let’s face it… SaaS can be expensive at scale. We conduct thorough cost analysis with our clients to manage and protect their long-term investment in new technology. This includes token planning, maintenance, licensing and vendor fees.
Working with a leading CPG company on transforming Innovation and building towards an Autonomous Growth Engine
Working with a major global retailer to reimagine how clothing is made, bought and sold in an AI-native way
197 Grand Street, Ste 5W, New York, NY 10013