Attune Intelligence is an independent research lab and engineering consultancy in Dallas, TX. One person, no investors, no institutional affiliation. Most AI projects stall on the same thing: the data underneath was never made usable. We fix that, and you work directly with the person who builds it. Bring us what's stalled. We'll build the foundation it needs.
AI tools are sold as plug-and-play, and for most businesses they are not. A model is only as good as the data it can reach, and that data usually lives in spreadsheets, half-built CRMs, and systems that were never meant to talk to each other. Closing that gap takes an engineer who will sit with the actual data, not a subscription. We do this work because the problem is real and mostly unglamorous, which is exactly why so few people are willing to.
Independent businesses and research teams sitting on operational or biomedical data that should be driving decisions and isn't yet. The raw material is already there; what's missing is the foundation that makes it usable, by a person or a model. If you have tried to bolt AI onto that and watched it stall, the foundation is usually why.
A single-member LLC, run solo. The person you email is the person who writes the code, so nothing gets lost in translation between the problem and the fix. No account managers, no subcontractors, no layer that turns your problem into a ticket for someone cheaper.
Reed Bender, a bioengineer who came to software through biology. A master's in biomedical data science at Clemson, cancer-genomics pipelines running on Kubernetes, single-cell RNA-seq at a Flagship lab, and generative-AI infrastructure at an edtech startup. The work is peer-reviewed: five papers across Cell Patterns, BMC Bioinformatics, G3, BMC Cancer, and Biological Theory. The short version is that the systems built here were first built for research, where the data has to survive scrutiny.
All of us have had the problem of knowing that someone, somewhere, wrote interesting thoughts on a particular topic. It's there, somewhere in your library, but where? My dream was to be able to search by semantic meaning of an idea, not specific text or keywords which I often can't remember. I have always wanted an AI especially trained on my digital content (scientific paper PDFs and ebooks), which would keep the data local, minimize confabulation, and give specific references for each result.
Reed provided an amazing solution. We worked together to nail down the specifications; he answered my many questions clearly, and customized the project to precisely what I wanted. He explained all the features and limitations, and also provided very clear, step-by-step instructions for installation and deployment, and has always been accessible and rapidly available for my questions. This system is an important part of my workflow, helping me to find sources and ideas in a huge mountain of scientific and philosophical literature. I recommend this technology, and specifically Reed's service, most highly. I plan to continue working with him on expansions to the functionality of this remarkable tool for research.
Reed is a well trained and experienced scientist and AI/cloud engineer. As a scientist, Reed observes the world and generates testable hypotheses with the proper balance of creativity and scientific rigor. There is much evidence for this in his impressive scientific publication record as well as his 21st century approach to discovering biochemical mechanisms underlying the meditative state.
Reed is the full stack cloud engineer. He understands how to personally architect containerized cloud workflows for both research and commerce, and he combines his skills on agile development teams with focus and a positive demeanor. Reed builds AI based workflows to access hidden patterns in medical genomics data and has a deep knowledge of the rapidly evolving code base to make these discoveries. Finally, Reed is an expert in prompt engineering to access information from large language models. In short, everyone loves working with and learning from Reed and he gets the job done!
Reed is a detailed, articulate, and open-minded scientist that has been instrumental in helping our team assemble the backgrounds and experimental protocols necessary for several of our research projects. His knowledge, enthusiasm, and dedication have been the perfect complement to our team. Reed's work on merging the seemingly disparate areas of spirituality and science helps propagate the sentiment that science is the formalization of the mystical. He has opened my mind in many ways and I know he will provide value to any team he's a part of.
Reed is a pleasure to work with. He is intelligent, hard-working, and open to tackling any tasks thrown his way. He was the first computational employee hired for a stealth-mode biotech and helped establish a number of different data science and engineering capabilities that touched all of our program areas. More specifically, he helped establish version 0 code for many AI/ML pipelines for processing RNAseq, clinical, and a host of other data types. He served as our local expert on AWS and all things cloud. If you are considering working with Reed, know that it will prove worth your time!
Tell us what your data should be doing and isn't. One call is usually enough to know whether it's a fit and where to start.