In the world of ever-increasing volumes of data being exchanged among multitudes of devices, sensors, and video captures, we help you develop, deploy, and maintain cloud-based real-time and historical data collection, storage, and business analytics operations to enable your data-driven decision making.

We partner with companies to explore how AI can enhance their products and systems, rapidly prototyping integrations that unlock new capabilities. By applying our deep AI expertise, we help modernize existing solutions, streamline workflows, and drive innovation—turning ideas into real, competitive advantages with speed and precision.

Whether you need modifications to existing algorithms or implementation of new ones, no matter how sophisticated they are, we can both perform the development and implement a comprehensive multi-layered validation and verification infrastructure so that you are fully confident in the modeling results that the implementation delivers.

We partnered with a biomedical research client to accelerate their genetic data analysis pipeline focused on early detection of medical conditions in airplane pilots. Their original process, which ran serially on a high-powered compute instance, required two to three weeks to process each dataset. By re-engineering the workflow, we enabled parallel execution, cutting processing time down to under 24 hours.

Beyond infrastructure improvements, we also integrated AI to enhance the interpretability of results. Using advanced language models, we automated the generation of plain-language summaries, helping researchers and clinicians quickly understand quality metrics, spot anomalies, and identify relevant gene activity. This transformation not only improved speed and scalability but also increased clarity and accessibility—making complex biomedical insights faster and easier to act on.

Proof of concept with full end-to-end functionality delivered in 6 weeks.

We worked with a client to prortotype a video intelligence platform capable of detecting and indexing car crashes within large volumes of recorded footage. Traditional manual review processes were time-consuming and inconsistent, so we implemented a multi-modal AI solution that combines visual and audio analysis to automatically identify crash events with high accuracy.

To make the archive truly searchable, we integrated natural language processing that allows users to search the video database using plain-language queries—such as “rear-end collisions at night” or “multi-car crashes in intersections.” The system also generates concise summaries for each detected incident, enabling rapid triage and review. This solution transformed how our client manages and extracts insight from video data, significantly reducing review time and enhancing operational efficiency.

Initial prototype complete in 6 weeks.

We partnered with public-sector clients to transform how large volumes of written feedback — such as regulatory comments and community input — are analyzed and understood. What was once a manual review process taking 6 to 8 months was reduced to under 2 hours through intelligent automation and AI-driven summarization.

Our solution ingests and organizes unstructured feedback, automatically classifying it by topic, extracting sentiment, and generating plain-language summaries. An intuitive interface allows users to search, explore trends, and identify relevant insights with ease—dramatically improving transparency, speed, and decision-making capacity. This family of projects has enabled agencies to respond to public input with far greater clarity, confidence, and efficiency.

Minimum Viable Product released in 4 weeks.

We developed an AI-powered assistant to streamline the creation of documents such as Standard Operating Procedures, Policy Directives, and organizational Handbooks. Designed for government and enterprise environments, this solution assists subject matter experts by transforming informal inputs, existing documents, or prompts into well-structured drafts that align with internal standards and regulatory formats.

The assistant uses natural language processing to generate, revise, and reformat content interactively—helping teams produce compliant documentation faster and with fewer manual iterations. It also supports version tracking, suggested edits, and contextual explanations, reducing drafting time and improving consistency across departments. This tool significantly accelerates policy development cycles and empowers teams to focus on content quality instead of formatting or document structure.

Prototype complete in 4 weeks.