Agent Orchestration
Define multi-step AI-agent workflows with explicit inputs, tool permissions, execution rules, and observable outputs.
Enterprise AI Infrastructure
Enterprise AI Agents for GPU-Bound Workflows
Techinkin is building an AI-agent orchestration platform for organizations operating high-throughput machine-learning workflows. The initial product brings together local LLM runtime, GPU-aware execution, and cloud infrastructure automation through one operational control plane.
Product Architecture
One control plane. Purpose-built AI execution.
The initial product architecture is designed around connected layers for agent orchestration, local model runtime, GPU job execution, and infrastructure automation.
The goal is to give technical operators a clear path from a defined AI workflow to controlled, observable execution on GPU-backed cloud infrastructure.
Core Platform Features
An operating layer for high-throughput AI.
The product direction centers on repeatable execution for AI-agent workflows and GPU-intensive ML jobs.
Local LLM Runtime
Build toward task-specific local inference, evaluation, and fine-tuning workflows where latency, data locality, or model adaptation matter.
GPU Execution Layer
Schedule GPU-bound inference and training jobs against available capacity, workload priority, and measurable utilization targets.
Infrastructure Automation
Turn approved workload definitions into repeatable environment setup, runtime monitoring, scaling policies, and lifecycle cleanup.
Techinkin Product Brief