Not a text box: the frontier between people and AI.
The classic chatbot is obsolete and architecturally inefficient. For us it is the orchestration interface through which users drive complex systems: multimodal by default, with text, voice and vision.
To us the "classic chatbot", a simple text box answering through linear calls, is outdated, obsolete and architecturally inefficient.
In our vision it is not a mere conversational assistant: it is the orchestration interface through which users interact with complex enterprise systems. Text, voice and computer vision are not an optional gimmick, but a baseline requirement for any modern platform.
Treating human-AI interaction as an unconstrained, free-form text box is the leading cause of errors, ambiguity and inefficiency. A user does not always know which parameters are needed to complete a task.
Every single input (speech, text or visual data) is immediately intercepted by an Intent Router. This lightweight layer does not generate persuasive prose: it classifies user intent in fractions of a millisecond and determines whether to query a database, fill out a form, analyze a document or execute a transactional action on backend systems.
Rather than a lengthy, unstructured conversation to gather data ("Could you tell me your tax ID? And your street address?"), Kodinn dynamically generates structured forms directly in the interface.
The reliability of an enterprise-grade interface depends on its ability to maintain uninterrupted service, even during API degradation from LLM providers. The architecture is never locked into a single model or vendor.
If a provider degrades, the orchestrator transparently reroutes the request: the user experiences zero service interruption.
To guarantee that complex multi-agent workflows never freeze or deadlock, we integrated a dedicated Watchdog directly into the execution lifecycle. To understand its role, we start from its engineering origins.
An autonomous hardware countdown timer embedded in microcontrollers and mission-critical systems (aerospace, automotive, industrial automation). The main program must regularly send a heartbeat ("clear pulse") to reset the timer. If the software freezes or enters an infinite loop, the heartbeat stops: the timer hits zero and forces an immediate hardware reset, restoring operations without human intervention.
An independent supervisor process that monitors health checks, memory consumption, thread deadlocks and service response times. If a child process or daemon hangs, the Watchdog intervenes by terminating the blocked process, restarting it, or rerouting system traffic.
Within Kodinn's AI orchestration layer, the Watchdog is a deterministic, non-LLM supervisory controller that continuously monitors all process execution phases.
Identifies if AI agents enter recursive hallucination loops or infinite tool-calling iterations.
If an agent exceeds the maximum allowed processing window, the Watchdog halts the broken execution chain and triggers the fallback protocol.
Validates output structural integrity before sending data to the frontend. If an anomaly or policy breach occurs, it resets the state and forces a safe intent redirection.
Managing human-AI interactions requires an uncompromised Zero Trust and Data Isolation policy. Personal and sensitive data collected via dynamic forms or voice inputs is intercepted and isolated within the local process boundary.
Before any external model call is made, sensitive values are sanitized, anonymized or pseudonymized at the proxy layer.
For top-secret workflows, all orchestration and model execution run entirely on air-gapped On-Premise infrastructure or dedicated Private Clouds, preventing data exfiltration to third parties.
Right to be forgotten, full processing traceability, data minimization and operational system resilience.
Complete transparency over automated processes through immutable audit logging and Human-in-the-Loop intervention.
The Intent Router, dynamic forms that eliminate context bloat and an efficient Watchdog keep overall latencies sub-second.
Explore Kodinn or tell us about the process you want to drive through an AI interface.
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