
Artificial Intelligence
Inventory Management Made Easy Using AI/BI Genie
May 7, 2025
We established Aimpoint Labs to cultivate an environment that combines free thinking, intellectual curiosity, and openness with inter-organizational collaboration, experimentation, and rapid prototyping to create the next generation of artificial intelligence solutions and products for business applications.
We are pushing the limits of what’s possible with LLMs and GenAI, seeking to understand why GenAI functions the way it does, studying the emergent properties of LLMs, and how we can improve the architecture of the models being trained.
Our team partners closely with innovative organizations and universities to understand the business value chain challenges and opportunities they are looking to exploit with AI, and co-create solutions and products that we can commercially bring to market.
With our team’s background in hypothesis-based AI research and development, deep expertise in software engineering, and extensive experience in launching and scaling commercially viable digital products, we help organizations move faster with AI to establish competitive advantages.
We empower companies to leverage GenAI as a strategic tool for enhanced understanding and decision-making by summarizing, visualizing, and querying business data and model predictions.
We are researching and prototyping novel ways to integrate machine learning into quantum computing to rapidly improve the ability to build and scale data science solutions.
We are actively developing open-source packages to solve complex business use cases through partnerships with leading universities and organizations at the forefront of AI exploration.
AI for AI is a rapidly growing area, and our team is actively investigating ways to leverage meta-machine learning to improve standard ML. Some of the areas we’re actively investigating include reinforcement-based AutoML hyperparameters, more efficient model factories, and integrations between reinforcement training and AutoML.
We empower companies to leverage GenAI as a strategic tool for enhanced understanding and decision-making by summarizing, visualizing, and querying business data and model predictions.
We are researching and prototyping novel ways to integrate machine learning into quantum computing to rapidly improve the ability to build and scale data science solutions.
We are actively developing open-source packages to solve complex business use cases through partnerships with leading universities and organizations at the forefront of AI exploration.
AI for AI is a rapidly growing area, and our team is actively investigating ways to leverage meta-machine learning to improve standard ML. Some of the areas we’re actively investigating include reinforcement-based AutoML hyperparameters, more efficient model factories, and integrations between reinforcement training and AutoML.
SearchGPT is a production-ready RAG application for SoD (Search over Documents). This cutting-edge AI technology empowers you to query structured and unstructured data files efficiently, unleashing the power of LLMs (Language Learning Models) across various SoD use cases.
Experience It Herelojipath is a proprietary software-engineered autoML forecasting platform that delivers high-quality multi-variate forecasts for business personas through an intuitive user interface, automated model selection and covariate handling, and detailed explainability.
Experience It HereSurfGPT is the gateway to directly leveraging the unparalleled power of LLM functionality on a website. Powered by SearchGPT, the interface seamlessly integrates into websites to provide an effortless chat interface, enabling visitors to search and access website information efficiently.
The Aimpoint Labs team is developing a revolutionary new platform that will bring the power of Reinforcement Learning to the manufacturing industry. By leveraging the power of Deep Q learning, A.I.R. live streams product routing recommendations to facility operators, allowing dramatically increased throughput operations.
PolarsAI is a library converted from PandasAI to run with the Python Polars library. This conversion enhances the efficiency and functionality of data processing and offers a versatile tool for Python users.
Install It Hereapd-crs is a Python package for survival analysis with cure rate. I.e., time-to-event analysis using a dataset for which outcomes of a fraction of the dataset are unknown (censored) and for which some individuals never experience the event.
Install It HereBy collaborating with our team, you gain access to a comprehensive suite of tools and expertise to build unique GPT LLM models that meet your needs. From fine-tuning pre-trained models to prompt engineering techniques, we enable you to leverage the full potential of GPT LLM models to drive innovation and efficiency.
Meet an ExpertGPT LLM models can revolutionize business operations by allowing extremely detailed levels of explainability and “what-if” analyses. Organizations can gain an edge by taking advantage of the transformative insights possible with today’s AI and ML, and we’re here to make it possible.
Train an LLM model using fine-tuning and RLHF algorithms. Reinforcement learning played a pivotal role in pushing GPT models over the edge, with PPO RLHF being optimized using several open-source packages to make this training accessible to a larger audience. Our team can build custom GPT models that truly understand your data and company.
Our experts can help you deploy hosted or on-prem models that ensure data integrity and security. We curate datasets appropriate for fine-tuning GPT (open-source or non-open-source models) to enable businesses to leverage the latest in AI technology.
Using LLMs requires a certain formulation of input prompts to get the desired output. Although coding knowledge isn’t required to operate these models, users must understand how these models “think” to get maximum use, and our experts can help.
Aimpoint Labs brings together the best minds in software engineering, computer science, decision sciences, and cloud computing to create a talent base – not traditionally found in consulting – to focus on delivering tangible and pragmatic applications of AI.
Explore our insights into the latest trends and applications in Artificial Intelligence.
Ready to take the next step in the AI journey? Connect with our team to explore what we can build together.