Need a custom build? We'll help you scope out projects, assess feasibility, & implement custom AI & ML solutions. Unlock a dedicated, specialized team of AI & ML engineers, today.
If your business has repetitive tasks, manual decision-making, or data-heavy processes, we can automate, accelerate, and scale them with AI.
Unlock a dedicated, specialized team of AI & ML engineers, today.
We help you identify & build AI & ML applications, integrating with your existing business. We offer you as much or as little control as you like.
We analyze your business operations to identify high-impact AI & ML use cases. Our expert team maps out opportunities where AI can drive efficiency, innovation, and growth.
Our engineers develop custom AI solutions tailored to your specific needs. We leverage cutting-edge machine learning technologies to create powerful, scalable systems.
We seamlessly integrate AI solutions into your existing infrastructure, ensuring smooth deployment and operational excellence.
Our workflow is malleable to whatever suits you. We offer both fully managed services & complete software integrations.
We give you as much control as you desire. Choose between fully managed services or complete software integrations that integrate into your existing infrastructure.
We regularly combine traditional ML and AI.
Implemented an end-to-end solution to extract and process invoice line items using OCR and AI, compiling editable tables and automatically flagging exceptions. This system drastically reduced manual processing time and improved claims accuracy.
Developed a predictive ML model to identify and reduce policy lapses ("not taken up") in insurance, allowing targeted interventions. The model enabled more effective retention strategies and improved policy uptake rates.
Built a custom LLM-powered chatbot for financial advisors and managers, enabling natural language access to client data, sales performance analytics, and policy editing through secure, conversational interfaces.
Designed and deployed ensemble models to predict psychiatric conditions such as major depressive disorder (MDD), bipolar disorder, and other mental health states using high-frequency physiological data.
Developed and released in-house algorithms for denoising EEG/EOG physiological signals, used as a preprocessing step for downstream ML models.
Built machine learning models to predict sleep stage transitions (e.g., N3 → REM) and to classify sleep states from raw EEG data, aiding in sleep quality analysis.
Led a research project modeling human and animal decision-making using reinforcement learning (RL) to uncover the mechanisms underlying choice behavior.
Designed scalable ML pipelines to forecast water production and optimize maintenance for large utility networks, supporting real-time operational decisions.
Built interactive dashboards visualizing water production metrics, supporting decision-making for utility managers with live analytics.
What will we build together :)?
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