
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

A Glimpse into Our Journey
10
ML ALGORITHMS ON TEAMINGSPACE
75+
OUT OF THE BOX AI AGENTS
3+
STARTER KNOWLEDGE BASES
6
AI FRAMEWORKS