Logibot
Logibot is an AI software platform that enables logistics and industrial operators to deploy and control human-like robots in existing warehouse environments without vendor lock-in. The platform covers the full automation lifecycle—from data-driven task auditing and physics-accurate simulation to robot training, live control, and performance monitoring. It is hardware-agnostic, allowing operators to select best-fit robots from multiple manufacturers rather than being tied to a single vendor's hardware.
- Artificial Intelligence
- AI Agents
- Commerce & Shopping
- Financial Technology
- Industrial Automation
- Logistics & Supply Chain
- Robotics
- Software Only
Funding
Raised to date
€1.4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $1.5Macross 1 round
€1.4M · Seed
Announced Sep 2026 · from article date
Disclosed cumulative: $1.5M
Founders
Founder details are not available yet.
Product
Problem
Warehouses face a labor shortage and are uncertain how to integrate human-like robots into their operations. Most automation solutions assume greenfield sites or complete redesigns, and most vendors sell only their own hardware, making it difficult to determine if the proposed solution is truly the right fit or simply the vendor's offering. This creates a paradox where operators cannot hire enough staff, fear vendor lock-in, and lack a clear path to robotic deployment.
Solution
Logibot provides a hardware-agnostic AI software platform that enables logistics and industrial operators to simulate, train, deploy, and monitor human-like robots in existing warehouse environments. The platform begins with a data-driven audit that classifies tasks by automation feasibility and ROI, then uses a physics-accurate digital twin to validate robot performance before any hardware is purchased. Once deployed, Logibot's control layer integrates robots into live operations with minimal disruption, while continuous monitoring and reinforcement learning improve performance over time. The platform is designed for floor-level intralogistics tasks such as sorting, palletizing, unloading, and internal transport, and works with multiple robot manufacturers to avoid vendor bias.
Target Audience
Primary customers are logistics and industrial operators—including warehouses, distribution centers, and intralogistics providers—who need to automate labor-intensive floor-level tasks in existing facilities without committing to a single robot vendor or undertaking a full facility redesign.
Features
- Logibot.Data: 25-day end-to-end warehouse audit delivering task classification, cost-per-task models, and robotization readiness scores ranked by business impact and technical feasibility
- Logibot.Simulate: 30-day online engagement using a physics-accurate digital twin to compare robot platforms, model cycle times, congestion, and payback periods before capital commitment
- Logibot.Train: Five-stage training pipeline that transforms a general vision-language model into a task-specific logistics robot, including multimodal grounding, general robotics pretraining, effective tuning, and KPI-aligned reinforcement learning
- Logibot.Control: Hardware-agnostic runtime layer that introduces robotic labor into live, legacy, space-constrained intralogistics environments without vendor lock-in
- Logibot.Watch: Real-time performance tracking with KPIs including productivity, uptime, task completion, and cost savings, with human-in-the-loop fallback for edge cases
- Simulation-first validation reduces deployment time to weeks rather than months and treats integration risk as the core problem