We Address Three Main AI Challenges
with our Teqit Platform
- AI Models lack domain specific knowledge
Unlike traditional software systems, Teqit is uniquely built from the ground up on an actor model that facilitates the agent systems to have their own dataspaces to efficiently deliver relevant domain specific knowledge through message passing asynchronously.
- AI Models can be factually incorrect, misleading, or entirely fabricated
The integration of large language models into Teqit has established natural language comprehension for the actors. The dialogue between natural language comprehension and symbolic reasoning fluidly is the key differentiator.
- AI Models can be inconsistent and superficial in their responses
By using guardrails like human in the loop mechanisms, alongside causal and semantic reasoning that is based on domain and flow ontologies. Agentic Systems built on Teqit delivers 100% goal accuracy.
Agentic AI
Needs Planning
& Reasoning
Needs Planning
& Reasoning
- Teqit helps organizations develop and deploy expert agents for planning and reasoning.
- Teqit then brings Agentic AI systems online rapidly with ease and simplicity.
Teqit is being used as a virtualized cloud computing environment for 15 software platforms in Mexico, Africa, South Asia and the United States.
Teqit use cases include intelligent document processing, healthcare management, itinerary planning, supply chain management, incident reporting and e-commerce.
Builtin are collaboration, communication and execution.
