AI

We continually study and test state-of-the-art machine learning techniques across the field, so we can apply them to specific industries, business functions. and use cases. This enables us to adapt these state-of-the-art methodologies to the unique needs of your organization.

Our R&D initiatives are not confined to theoretical advancements but are rigorously applied across multiple sectors, including manufacturing, retail, and financial services. For instance, we have optimized supply chain logistics in manufacturing with advanced demand planning and time series forecasting methods, enhanced customer experiences in retail using state-of-the-art intent detection and RAG-pipeline routing, and improved fraud detection mechanisms in financial services using advanced anomaly detection and aberrant behavior methods.

Our expertise spans a broad spectrum of machine learning techniques, from deep learning and reinforcement learning to natural language processing and computer vision. By staying at the forefront of these technologies, we ensure that our clients benefit from the most advanced, effective, and efficient AI solutions available. Our R&D NorthStar is practical business value.

We foster a culture of continuous improvement, encouraging our team to pursue ongoing education and professional development. This commitment to staying current with the latest research and technological trends allows us to provide our clients with AI solutions that are not only cutting-edge but also grounded in the latest scientific discoveries and practical applications.

Our extensive portfolio of successful AI implementations across various industries serves as a testament to our expertise and capability. We systematically de-risk projects by employing rigorous testing and validation protocols, ensuring that each solution is robust and delivers measurable value.

Our phased development process ensures that each project is broken down into manageable stages, allowing for early detection and mitigation of potential risks, preventing premature optimization, and staying scrappy until we’ve validated there’s sufficient business value to continue investment. This approach not only de-risks the project but also ensures that you receive incremental value at each stage of development.

By utilizing pre-defined reference architectures, we streamline the development process, reducing the time and cost associated with building AI solutions from scratch. These architectures serve as blueprints that guide our development efforts, ensuring consistency, reliability, and scalability of the final solution.

Microsoft publishes “solution accelerators” that facilitate the adoption of their technologies. But we go beyond these, designing and engineering modules that are robust to edge cases and prepared for production environments. Our suite of solution accelerators comprises reusable components and frameworks that further expedite the development process. These accelerators have been refined through numerous successful implementations, ensuring that they are robust and effective in delivering the desired outcomes.

Throughout the prototyping phase, we employ rigorous testing and validation protocols to ensure that each iteration meets the defined requirements and performance benchmarks. This iterative approach allows us to make necessary adjustments and improvements quickly, ensuring that the final solution is optimized for your specific needs.

Our collaborative approach is rooted in a deep understanding of your business objectives and challenges, ensuring that we are fully aligned with your goals from the outset. This partnership mindset drives us to work with the same level of dedication and commitment as if we were stakeholders in your business.

Our first step in any project is to gain a comprehensive understanding of your business objectives, challenges, and opportunities. This alignment ensures that our AI solutions are not developed in isolation but are fully integrated with your strategic goals, delivering maximum impact.

We adopt a proactive approach to risk management, meticulously scoping each project to identify potential risks and implement mitigation strategies. This not only protects your investment but also ensures that the project remains on track to deliver the desired outcomes. Our phased development process ensures that each project is broken down into manageable stages, allowing for early detection and mitigation of potential risks, preventing premature optimization, and staying scrappy until we’ve validated there’s sufficient business value to continue investment.

Our project management practices are designed to eliminate waste and optimize resource utilization. By adopting lean methodologies, we ensure that every aspect of the project is focused on delivering value, from initial scoping to final deployment.

We believe in building long-term relationships with our clients, providing ongoing support and continuous improvement to ensure sustained success. Our commitment extends beyond the initial deployment, with regular reviews and updates to ensure that the AI solutions continue to deliver value and adapt to evolving business needs.

Our approach to ROI is realistic because we simulate it based on plausible and conservative estimates of solution effect size and the future performance of the business it’s affecting based on historical business performance. We also treat it as a range rather than a single number, which better reflects the dynamic nature of business performance and uncertainty inherent in it.

• Aligns the solution to business value.
• Ensures that only value-adding projects are undertaken.
• Provides a realistic estimate of future business performance, accounting for natural fluctuations.

1. Identify key drivers of ROI.
2. Understand how these drivers interact with business conditions and solution effectiveness.
3. Gather month-to-month data to track changes and trends.
4. Simulate business conditions to see how they impact overall ROI.

Business conditions are always uncertain and subject to change. By providing a range of possible ROI outcomes, we offer a more accurate and realistic picture of what to expect. This approach avoids the pitfalls of unjustified precision and better informs decision-making.

Our diverse talent pool is a key differentiator, allowing us to approach problems from multiple perspectives and develop robust, well-rounded solutions built with both best in class technology by best in class domain experts.

Our team includes experts with advanced training in applied physics, economics, statistics, computer science, and other critical fields. This multidisciplinary expertise enables us to tackle complex problems with innovative solutions that are grounded in a deep understanding of the underlying first principles. This is crucial for successful AI projects.

Being a distributed company with a strong technical reputation allows us to tap into top technical talent from across the country. This access to a wider talent pool ensures that we can assemble the best possible team for each project, bringing together diverse skills and perspectives to deliver exceptional results.

We prioritize continuous learning and professional development, ensuring that our team stays current with the latest advancements in AI and related fields. This commitment to ongoing education ensures that our solutions are not only cutting-edge but also based on the latest research and best practices.

Our diverse talent has successfully implemented AI solutions across various industries, from optimizing manufacturing processes to enhancing customer experiences in retail and improving risk management in financial services. This breadth of experience allows us to bring best practices and innovative ideas from one industry to another, driving cross-industry innovation and success.