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Autonomous Decision-Making

Spacecraft and tactical edge systems must make critical decisions without human approval. The KAIS Platform™ delivers autonomous decision-making that is fast (milliseconds response), safe (prevents cascading failures), compliant (follows mission rules), and auditable (explainable after the fact).

Our decision framework combines policy engines, decision logic, trustworthy AI guardrails, and formal verification. Every decision includes confidence scores, evidence trails, policy references, and risk assessments—delivering the transparency federal agencies require for operational approval.

DECISION FRAMEWORK:
  • Policy Engine: human-readable mission rules with formal verification

  • Decision Logic: real-time constraint satisfaction and multi-objective optimization

  • AI Guardrails: hard limits preventing unsafe autonomous actions

  • Formal Verification: mathematical proof of decision correctness

  • Full Transparency: every decision fully documented and auditable

 

Autonomous But Accountable: The KAIS Platform™ doesn't create black-box AI systems that "do their own thing." Every autonomous decision follows mission policy, maintains audit trails, and operates within verified constraints. We enable true autonomy without sacrificing mission control, operational transparency, or commander confidence.

Whether you're a federal agency, defense prime, or commercial operator—KAIS™ delivers the technical expertise and proven execution to make your mission succeed. Schedule a free discovery consultation.

Executive Contact

Carolina Kellar, CEO & Managing Member

Email:  info@kellar.biz

Primary Contact

Louis Kellar, Co-Founder & SVP Business Development

Email:  info@kellar.biz

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CERTIFICATIONS:

WOSB | 8(a) Eligible CAGE: 154M4 SAM.gov UEI: ZBDVMLWCVU48

 

Location:

Orlando, Florida, USA Serving federal and commercial clients worldwide

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Autonomous Edge Intelligence

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KAIS provides autonomous AI and systems integration that works alongside existing satellite communications infrastructure

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