In the course of our work, we often find new and novel ways to get value from AI. These techniques can potentially be applied to lots of different use cases and contexts. We’d love to collaborate with you, customizing our approach for your particular workflow or process. You get a quantum increase in efficiency, and we get to to refine our approach to deliver even greater value.
Below are some products in our lab that we think have legs.
Surveys can be onerous to create, deliver, and analyze. We are developing a tool that can be configured to use AI in all three phases. This has been shown to increase productivity substantially by inserting expertise into survey creation, using AI to customize survey delivery based on open-ended user responses, and performing dynamic analysis based on the nature of the responses, lightening the load for data analysts after the fact.
Extracting data is one of AI's most common applications, but it is also the hardest to get right. Complex domains like healthcare, finance, and law often involve intricate relationships within documents that even advanced RAG systems struggle to parse.
For example, a drug package insert might include critical dosage information at the beginning and instructions buried in later sections, requiring a deep understanding of context and priority.
Our novel document parsing approach uses customizable modules that can understand the relationship between data in the document and the schema you're trying to pour the data into, as well as the dependencies and relationships between the data inside the documents. It's pretty cool.
If your business relies on converting unstructured or semi-structured documents into actionable data, you have to see this.
Modern SaaS systems generate vast amounts of complex data, but making sense of it is challenging. While BI tools help, they often rely on skilled analysts to extract meaningful insights.
We’re developing something that changes that. Designed for marketers, it captures the expertise of seasoned analysts and dynamically “understands” domain-specific data to perform real-time analysis. Whether you’re managing a large data lake or spending hours in spreadsheets merging multi-platform data, this system simplifies the process and delivers actionable insights quickly.
If your organization spends millions on ads, this tool could transform how you optimize and analyze your campaigns.
Software engineering teams are notoriously hard to measure. But the benefit of accurate and relevant data around the expensive (and relatively opaque) software development process has huge ramifications for a company's bottom line.
We’re developing a multi-platform data ingestion and analysis platform that aggregates and makes sense of software engineering data. Imagine all the events from all of your development tools (including calendars and Slack) made available to you in one, queryable place. This is a quantum step forward from existing tools that simple aim to measure throughput metrics like cycle time.
If you have hundreds or thousands of software engineers, this technology could offer incredible insight into everything from bottlenecks to cost inefficiencies to burnout to compliance.
Tailoring instruction to individual strengths and weaknesses is the key to effective learning—but traditional employee training often feels tedious and one-size-fits-all.
Our AI-powered system dynamically assesses users, accelerating their path to mastery. It personalises training content based on roles and preferences, while continuously adapting to performance for a more engaging and effective experience. The result? Faster, smarter, and more enjoyable learning tailored to every individual.
If you are in EdTech or run HR at a large company, you should give us a call.
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