Featured / Architecture paper
QUACK Runtime Architecture: Building Reliable Agent Systems
Runtime patterns for planning, tool execution, permissions, and recovery in production agent systems.
Nov 202412 minRuntimeGovernance
Intelligence for digital and physical systems
Intelligence that
moves work forward.
OPTINX builds intelligent software and autonomous systems that understand, decide, and act across digital operations and the physical world.
System architecture
One intelligence system, from software to physical action.
Digital agents reason through shared intelligence infrastructure. The same foundation extends into machines that perceive, decide, and act.
What we build
AI that does the work.
Industrial intelligence
From machine data to decisions and action.
OPTINX connects fragmented operating knowledge with live machine state, then produces evidence-backed guidance and executable work.
01 / Operational inputs
Manuals & SOPs
Sensor telemetry
Technician knowledge
Machine vision
Maintenance records
Service history
02 / OPTINX intelligence
- 01Understand
- 02Correlate
- 03Reason
- 04Decide
03 / Operational outcomes
- Diagnosis
- Maintenance guidance
- Workflow execution
- Work order
- Institutional memory
Source citationsHuman approvalAudit trailRollback
Intelligence infrastructure
Runtime, memory, and control beneath every agent.
QUACK governs how agents plan and execute. Nextmos preserves the organizational context that lets them improve over time.
Explore QUACKModels
L1Foundation models · fine-tunes · adapters
QUACK
L2Planning · execution · permissions · governance
Agents
L3Miraya · Mixmin · Insora · Quazz · custom systems
Tools / APIs / Systems
L4Enterprise data and execution surfaces
Persistent layer
Nextmos
Long-term organizational memory across customers, decisions, procedures, relationships, and agent sessions.
Explore memoryPhysical intelligence
Intelligence that closes the loop.
Autonomous systems turn perception into controlled physical action, then learn from what the world sends back.
Sense
Perceive
Understand
Decide
Plan
Act
Feedback
NAVIQ decision intelligence
A decision layer for autonomous machines, with ZUNO robotic systems and KrishiBot agricultural systems extending the same sequence into distinct environments.
Research and engineering
Evidence before claims.
Architecture papers, engineering notes, benchmarks, and reproducible technical work.
02 / Engineering notes15 min
Nextmos: Persistent Organizational Memory at Scale
A memory layer designed to preserve useful context while supporting privacy and organizational control.
03 / Benchmarks18 min
NAVIQ Decision Benchmarks
Evaluation methods for perception-to-action latency, uncertainty, and closed-loop stability.
04 / Research report14 min
Industrial Knowledge Graphs: From Manuals to Maintenance Actions
Turning technical documentation into traceable troubleshooting and maintenance guidance.
Have a system worth automating?
Discuss a projectBuild with OPTINX
Start with the real system and a measurable pilot.
We focus the first conversation on constraints, existing systems, and a practical evaluation path — not a sales pitch.
A strong fit
- Enterprise workflows that cross systems and teams
- Industrial knowledge, maintenance, and operations
- Autonomous machines that need accountable decisions
- Research collaborations grounded in working systems
Engineering first
Architecture, security, evidence, and failure modes are part of the pilot.
Useful response
We route your inquiry to the technical context you provide.
Pilot inquiry