At Whitespectre, we don't just imagine the future, we build it- one experiment at a time. Whitespectre Labs is our internal product incubator and innovation sandbox, where we dive into emerging technologies and test product ideas to see which ones take flight.
Let’s ChatNothing excites us more than starting with ‘What If?’ and getting hands on with
the answer.
At Whitespectre Labs we do just that- designing and
validating product ideas and investigating and building proof-of-concepts with
the latest technologies. Teams take a ‘Lean MVP’ approach, moving quickly from
question and hypothesis to experimentation, learning, and iteration.
The
benefits are many. The insights we gain and share keep us on the edge of
innovation. The product successes have been significant, including an
acquisition and AI tools that have changed the way we work. And by staying ahead
on emerging technologies, we help our clients explore the possibilities and
determine if and when a new technology is right for them.
“Whitespectre Labs is where we experiment with new ideas from both technological and product perspectives. It's where we apply new tech to solve unaddressed problems, prototype solutions, and generally explore what’s possible. Some experiments evolve into full products or open source contributions, others become insights and proofs-of-concepts that we share with clients, demonstrating how a new approach or technology can be applied to drive real business value.”
Nick Tudor
OUR INNOVATION journeys
AIScribe automatically converts JIRA cards into high-quality documentation. Seamlessly integrated with Slack and Confluence, it boosts productivity, speeds up onboarding, and improves releases while saving hundreds of hours for both our team and clients.
We spotted the rising popularity of intermittent fasting and a lack of quality apps supporting it. Within 4 weeks, we launched FastHabit - a simple, user-friendly app that caught the attention of the press and became a leader in the category, culminating in a successful acquisition.
Selecting the right Large Language Model is crucial for the success of AI-driven products. Our guide, produced by the Labs team, covers optimizing for use cases, managing unexpected outputs, assessing data quality, and prioritizing flexibility.
Our Labs team offers firsthand insights on enhancing coding efficiency with AI, exploring the balance between speed and code quality, selecting the right tools, and the adjustments needed in skills and culture to realize its massive potential.
OUR PROCESS
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Partner with us to create the experiences and technology that drive your
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