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Engage with AI
Proactively

Surpass Reactive Explanations

See NASA and NSF Views on this Innovation

TeamingSpace AI Platform

Go Beyond Fragmented AI with
Human Machine Teaming

Data Scientists

ELIMINATE BLACK BOX MODELS SAVING TIME AND COSTS

Data Scientists kickstart Human Machine Teaming by generating self explanatory Decision Steps from data, eliminating black box models and bypassing expensive model interpretations, directly resulting in time and cost savings.

Domain Experts

ELIMINATE UNINTENDED
CONSEQUENCES 

Domain Experts, no longer shackled by black box models, engage with Decision Steps proactively, recognize gaps and bring to bear relevant knowledge and safeguard algorithmic decisioning through seamless Advisability.

AI Engineers

DELIVER RELIABLE AGENTIC AI TWICE AS FAST

AI Engineers, no longer bound by all-or-nothing monolithic models, incrementally compose Autonomous Agents using Decision Steps to deliver value quickly.  Loosely coupled Decision Steps lend themselves to deliver value reliably without compromising delivery speed.

Operations Staff

IMPROVE RESPONSIVE SERVICES WITH AI ENGAGEMENT

Operations Staff, no longer limited by take-it-or-leave-it style decisions, understand decision paths with relevant contexts.  Through governed Function Allocation Strategies, Operations Staff take over controls when needed and return them back to Agentic AI to be responsive.

Governance Stakeholders

DELIVER RESPONSIBLE AI THROUGH ROBUST AI QUANTIFICATION

Stakeholders, no longer constrained by model centric quantifications, define decision centric quantifications.  Decision quantifications when defined from multiple viewpoints, such as granular traceability of decisions, bias management at individual decision levels and on demand directability to limit unintended consequences, enable governance measures necessary for Responsible adoption of AI.

TeamingSpace AI Platform

Deliver Trusted AI with 

Human Machine Teaming

FEATURE 1

GENERATE SELF EXPLANATORY DECISION STEPS FROM DATA

FEATURE 2

ELIMINATE DECISIONING GAPS WITH ADVICE

FEATURE 3

IMPROVE AI TRUST WITH TRANSPARENT AND SHARED INTENTS

FEATURE 4

QUANTIFY AI DECISIONS EXCEEDING MODEL CENTRIC MEASURES

FEATURE 5

REDUCE DELIVERY COSTS WITH MODULAR AGENTIC AI 

FEATURE 6

ELEVATE OPERATIONAL ADOPTION AI DECISIONS WITH FRAMEWORKS

Built by AI Professionals, for Knowledge Professionals

Practical challenges in AI and ML adoption drive our research resulting in frameworks and platforms.

Our blueprints have delivered value in building Data Science and AI Platforms and Practices.

Built on real life experiences, our current innovation is focused on critical next steps to enable Responsible adoption of AI.

About Us

 

Background

TeamingSpace AI Platform Innovation
Continues to Push AI Adoption

A Glimpse into Our Journey

10

ML ALGORITHMS ON TEAMINGSPACE

75+

OUT OF THE BOX AI AGENTS

3+

STARTER KNOWLEDGE BASES

6

AI FRAMEWORKS

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