Collect through workflows.
Use data-collection workflows to bring information into the platform while retaining the source context and provenance needed downstream.
THE SHARED KNOWLEDGE & QUESTION-ANSWERING FOUNDATION
Connected knowledge.
Trusted answers.
Minsky Platform combines data-collection workflows, a knowledge base, private and public knowledge graphs, domain ontology, and question answering. Heavy reliance on grounding connects answers to the underlying knowledge and source evidence, with hallucination-free answers as the design goal. It is available on AWS Commercial Cloud and GovCloud, and it sits inside Minsky One.
BEHIND EVERY SOLUTIONCollection workflows. Knowledge base. Private & public graphs. Fine-grained permissions. Domain ontology. Grounded answers.
MINSKY PLATFORM / THE ARCHITECTURE
Knowledge has context.
M3 brings yours.
Data-collection workflows bring in the evidence. Mission Memory brings the human perspective: knowledge, opinions, experience, intuition, and team expertise.
Together, they shape domain ontology and connected knowledge, giving grounded question answering the context of your mission.
The M3 vision: scale experts through digital twins that augment rather than replace, provide grounded answers, and build mission-specific ontologies in minutes.
From data to understanding
Collect your dataDocumentsVideoAudioImages
THE KNOWLEDGE FOUNDATION
OntologyDefine the domain
Knowledge baseOrganize evidence
Knowledge graphConnect the facts
Talk to your data.Grounded in evidence.
PlatformAPIMCP
EXPLORE THE PROCESS · ILLUSTRATIVE1 / 5
Collect the source evidence
Report R-17: “Project Atlas tested a coastal sensor in June.” Keep the original report and its source reference.
M3 frames the mission: coastal monitoring.
Build a foundation for answers.
Organize collected information in a knowledge base that supports the solution’s analysis and question-answering needs.
Connect private and public knowledge.
Represent entities and relationships in private and public knowledge graphs, keeping information connected to its context and evidence. Define who can see what in that graph, down to the individual fact. In intelligence use cases, that permissioning decides which person and which knowledge is visible.
Structure knowledge around the domain.
Concepts, entity types, and relationships come from the mission’s evidence, so each solution can organize its knowledge without a separate modeling engagement.
05 / GROUNDED QUESTION ANSWERING
Answers grounded in knowledge.
Evidence experts can inspect.
Minsky Platform’s question-answering layer relies heavily on grounding in the knowledge base, knowledge graphs, domain ontology, and source evidence. The design goal is hallucination-free answers: responses whose basis can be traced and evaluated by the people using them.
MINSKY PLATFORM / MISSION MEMORY · M3
Your world.
Your expertise.
Your mission memory.
M3 is about you and how you see the world. Your knowledge, opinions, experience, intuition, and team.
You are not tokens. You don’t rely on tokens in a fight. You rely on humans and their expertise.
We model the world and your expertise in it. Evidence first. Not AI first. AI is just a layer. Nothing more.
THE M3 VISION / THREE FOUNDATIONAL TECHNICAL GOALS
Every expert, scaled.
Digital twins that augment, not replace.
Grounded answers.
Evidence as the foundation for answers.
Your mission’s ontology.
In minutes.
Build a data-driven ontology for the mission in minutes, from the evidence you already have, without waiting for a forward-deployed engineer.
MISSION SOLUTIONS / PART OF MINSKY ONE
Minsky IPE ↗
Apply connected knowledge to the intelligence lifecycle. Search, draft, check, and publish in one workspace, with claims tied to sources.
Minsky STIO ↗
Apply connected knowledge to research and investment decisions. Connect research, budgetary, and contractual information to find existing work, assess capability gaps, and guide investment.
SUPPORTING AI LAYERS
Build better models.
Govern how they are used.
Candor supports model development, expert annotation, evaluation, and continuous improvement. Guard assesses model risk and capabilities and enforces authorization and runtime policy. Together, they help build and govern the AI behind our products. Candor and Guard are part of Minsky One, with Minsky Platform, IPE, and STIO.
YOUR DATA. YOUR MODELS. YOUR MISSION.
Bring your next
hard question.
Bring your use case. We’ll show you where dMetrics fits.