Elevate your business’s decision-making power with TeamingSpace, which pairs the best of what human expertise and AI have to offer. Our platform combines human expertise, transparent algorithmic decisions and plain-language analysis for all stakeholders, delivering quality, cost-effective solutions.
Why we're different
Many AI models are notoriously poor communicators, offering outputs that are neither explainable nor actionable. Unlike these models, TeamingSpace prioritizes transparency, applicability and human-machine teamwork to achieve your business outcomes.
TeamingSpace process
1
TeamingSpace generates self-explanatory, data-driven Intentions — how TeamingSpace will use data to make decisions — without repeated training, testing and interpreting
2
Stakeholders identify gaps and seamlessly provide expert input
3
TeamingSpace composes and communicates solutions based on all intelligence — human and machine
Key tenets
Familiarity
Plain-language, industry-specific terms enable meaningful stakeholder engagement
Advisability
Stakeholders can seamlessly provide context and human knowledge to strengthen TeamingSpace’s decision-making power.
Responsiveness
Actionable, industry-specific next steps take the guesswork out of data interpretation.
Value that can’t be taken away
Your business’s greatest asset is its aggregated knowledge. TeamingSpace learns like a team member, storing knowledge and always improving decisions. Times change, but your business’s knowledge doesn’t have to fade.
Resources for what matters
TeamingSpace can be implemented in less than half the time at one-third the cost of what you’re used to, leaving more time and resources for implementing solutions.​
We're Awardable
Our pitch video, “Verified machine thinking to assist humans in solving unfamiliar situations in real-time,” has been deemed Awardable by the Defense Advanced Research Projects Agency (DARPA) ERIS Marketplace.
It’s an honor to be recognized among a competitive field of applicants to the ERIS Marketplace for our innovation, scalability, and potential impact on DoD missions.