We turn fractured tools, data and infrastructure into dependable systems that earn their place in your organisation.
A promising model demo still needs reliable retrieval, access controls, evaluation, and a deployment path before enterprise teams can depend on it in daily mission-critical workflows.
Connect approved knowledge stores and scoped MCP tools directly to enterprise workflows. Evaluate releases against representative benchmark tasks, trace failures deterministically, and enforce approval policies before consequential actions execute.
Five capabilities connect useful AI to knowledge, people and the systems your work depends on.
Connect models to approved sources and task-specific context, then keep the evidence close to every answer.
Approved sources / task-specific context
Shape what an agent can do with identity, scoped permissions, policy checks and human approval when a decision calls for it.
Identity / policy / approval
Coordinate models, tools, services and people through explicit steps with task ownership and run state visible.
Run sequence / observable handoffs
Review answer quality, tool activity and failure paths with practical evaluation signals and traces.
Review signals / no assumed score
Connect AI capabilities to existing applications and data through controlled interfaces built around the systems teams rely on.
Existing stack / connected capability
Expose internal APIs and SQL tools through Model Context Protocol (MCP).
Enforce identity, scope, and action policies directly at the application boundary.
Primary directive: Authorize and audit every single agentic tool call.
Enterprise-grade artificial intelligence systems built for scale and precision.
AWS Bedrock and scalable infrastructure powering production workloads.
Modern front-end frameworks crafting seamless digital experiences.
GSAP-powered animations and interactive canvas effects.
Immersive environments and architectural visualization at scale.
Advanced containerization and deployment automation.
A product from the DevX House ecosystem, built to bring advanced processing into a focused, accessible experience.
Explore Kronos AIThe model proposes a structured answer or candidate tool call.
Policy checks user scope, identity context, and required approvals.
Permitted requests reach internal tools through MCP adapters.
Tool execution outputs return as verified context feed.
Explore your goals, the systems involved, and a practical next step with the DevX House team.
Agentic Chat
DevX House project assistant
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