Company profile
Sereact
AI software for autonomous robotics in intralogistics.
- Category
- Robotics
- Headquarters
- Boston(US) / Stuttgart (DE)
- Sells to
- Enterprise
- Business model
- Licensing
- Deployment
- Edge
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Image, Sensor, Multimodal
What Sereact does
Sereact's mission is to drive economic growth by closing automation gaps in intralogistics. Their AI software enables machines to perceive their environment and develop solution strategies, qualifying them as autonomous skilled workers. By leveraging embodied AI for robotics, Sereact ensures systems not only think but also physically interact intelligently with their surroundings. The AI software fully automates pick-and-place processes, making them more efficient, reliable, and resilient. The goal is to optimize supply chains with minimal integration effort to increase warehouse productivity from the first pick while significantly reducing costs. Sereact builds the foundational software layer for the next era of industrial robotics, bridging the gap between artificial intelligence and physical execution. Their systems autonomously execute complex tasks and continuously enhance performance through real-world data, improving efficiency in logistics and other sectors.
Products
- CortexUniversal intelligence for diverse robotic platforms, delivering real autonomy on the warehouse floor. It is the proprietary AI for robotic manipulation, powering picking, placing, sorting, and inspection without retraining or tuning. Cortex adapts grip, movement, and placement in real time, and solves difficult items on its own, minimizing human intervention. It runs the same intelligence on different robots, allowing choice of robot body while maintaining the same brain.
- Sereact LensReal-time edge vision for perfect verification and inventory awareness. It detects damage, anomalies, and packaging issues with zero manual inspection. Lens provides real-time AI perception for every bin, order, and return, eliminating blind spots and verifying inventory. It's a complete intelligence platform sitting between physical operations and digital systems, acting as a real-time decision engine for production-critical environments. It captures high-resolution stereo images to reconstruct detailed 3D point clouds, and is trained on real warehouse data for reliable perception in poor lighting, clutter, and mixed SKUs. It has native API integration for WMS, WES, WCS, and automation systems.
- Sereact Pick & PlaceAn AI-powered picking system built for production-critical throughput. It is hardware agnostic, ready for 24/7 warehouse operations, and requires zero retraining. It handles messy, mixed, and unseen SKUs with closed-loop control for consistent pick success. It integrates with AutoStore ports, shuttles, conveyors, and AMR feeds. It includes Zero-Shot Picking, Closed-Loop Control, Low Intervention, Feed Agnostic capabilities, and Lens Quality Check.
- Sereact Robotic PutwallA turnkey solution to automate order fulfillment. Cortex-powered robots pick from mixed totes with verified accuracy. It is designed for industrial fulfillment at production scale, offering high throughput and system reliability with error prevention, audit-ready logging, and active uptime monitoring.
Key capabilities
- Universal Intelligence (Cortex)
- Physical AI that works in production environments
- Embodied AI for robotics
- AI software for autonomous robotics
- Fully automates pick-and-place processes
- Patented Gripper Tech
- AutoStore Integration
- Real-time edge vision (Sereact Lens)
- Putwall Automation
- Returns Handling
- Zero-shot adaptation across standard 6-axis and humanoid architectures
- One production model powering picking, placing, sorting, and inspection
- No retraining, no tuning
- Real-time edge vision for inventory awareness (Lens)
- Autonomous picking across thousands of SKUs
- Zero-shot handling of new items with any robotic platform
- Automated sortation for batch picking and returns
- Consistent performance even with mixed items
- Embodied AI for human-like dexterity
- Automated inspection and sorting of returns
- Vision Language Action Model (VLAM)
- Real-time awareness (System Monitoring)
- AI that thinks, picks and adapts
- AI-powered vision with infinite applications
- Industrial Perception (Sereact Lens)
- Real-time AI perception for every bin, every order, and every return
- Eliminates blind spots and keeps WMS honest with perpetual inventory verification
- Complete intelligence platform between physical operations and digital systems
- Real-time decision engine for production-critical environments
- High-resolution stereo cameras capture critical moments
- Reconstructs detailed 3D point cloud
- 4K+ Resolution
- HDR for reliable perception in poor lighting, clutter, and mixed SKUs
- Warehouse-trained AI
- < 1s Latency for real-time decision making
- Native API for WMS, WES, WCS, and automation systems
- Zero-Shot Picking
- Closed-Loop Control
- Low Intervention
- Feed Agnostic
- Lens Quality Check
- Industrial Uptime
- Real-time Self-Correction
- Dynamic trajectory planning
- Automatic force adjustment
- Smart Triage for unpickable items
- Remote Resolution for exceptions
- Modular Architecture (Cortex and Lens)
- Error Prevention in Robotic Putwall
- Audit Ready logging with images
- Active Uptime monitoring and proactive alerts
- Hardware agnostic intelligence for humanoids
- Autonomous decision making (Sense, Reason, Act)
Use cases
- Automating pick-and-place processes
- Optimizing supply chains
- Increasing productivity in warehouses
- Reducing costs in intralogistics
- Bin picking in high-density environments (AutoStore Integration)
- High-speed sortation for complex order logic (Putwall Automation)
- Autonomous inspection and secondary processing (Returns Handling)
- Inventory awareness and verification
- Detecting damage, anomalies, and packaging issues
- Robotic picking across thousands of SKUs
- Automated sortation for batch picking and returns
- Handling picking, sorting, and packing across changing tasks with humanoids
- Automated inspection and sorting of returns to identify condition and route items
- Order accuracy in e-commerce fulfillment
- Returns processing in e-commerce fulfillment
- Perpetual inventory in e-commerce fulfillment
- Mixed SKU counting in industrial distribution
- Damage detection in industrial distribution
- Quality control in industrial distribution
- Client inventory accuracy in 3PL operations
- Photo documentation in 3PL operations
- Billing validation in 3PL operations
- Automating order fulfillment with Robotic Putwall
- Humanoid picking from AutoStore
- Handling small items with precision using humanoids
- Work that is mobile, messy, and hard to standardize with humanoids
AI approach
Sereact develops proprietary AI software for autonomous robotics, specifically for intralogistics. Their 'Cortex' AI acts as a universal intelligence layer for diverse robotic platforms, enabling robots to perceive their environment, develop solution strategies, and physically interact. They use a Vision Language Action Model (VLAM) trained on millions of real-world picks for production-ready AI in robotics. Their 'Lens' product provides real-time AI perception using high-resolution stereo cameras and warehouse-trained AI to identify items, detect damage, and verify inventory.
Tech named: Deep Learning, Artificial Intelligence, Embodied AI, Physical AI, Cortex, Sereact Lens, Vision Language Action Model (VLAM), AI Vision, AI Perception, 3D point cloud, AI software, Proprietary AI
Industries served
- Logistics
- E-commerce
- Manufacturing
- Third-party logistics (3PL)
- Industrial Distribution
- Healthcare
What it says sets it apart
- Embodied AI for robotics, enabling physical interaction and intelligence
- AI software enables machines to perceive and develop solution strategies autonomously
- Minimal integration effort for supply chain optimization
- One production model powering picking, placing, sorting, and inspection without retraining or tuning
- Vision Language Action Model (VLAM) trained on millions of real-world picks, making it production-ready
- 99.9% Uptime and ~1 per 53,000 picks remote support intervention
- >99% Pick success rate
- 300 to 450+ UPH typical throughput, 600 UPH peak throughput
- One robot replaces 3 to 4.5 FTE
- 77% cost reduction in labor costs
- 24/7 efficiency without supervision, scaling throughput without extra headcount
- 98%+ accuracy from the first pick, installs in a day
- Sereact Lens provides real-time AI perception for every bin, order, and return, eliminating blind spots and verifying inventory
- Lens is trained on real warehouse data, not generic computer vision
- Lens has < 1s latency for real-time decision making
- Zero-Shot Picking: picks new items without training or teaching
- Closed-Loop Control: Cortex adapts grip, movement, and placement in real time
- Low Intervention: robot solves difficult items on its own
- Feed Agnostic: fits existing infrastructure like AutoStore ports, shuttle systems, conveyors, and AMR flows
- Industrial Uptime: built for production, runs reliably across nights, weekends, and peak seasons
- Real-time Self-Correction: robot adapts grasp plan instantly if an item slips, shifts, or collapses
- Smart Triage: system marks unpickable items in WMS and moves to next task to protect throughput
- Hardware agnostic intelligence for diverse robotic platforms, including humanoids
- Autonomous decision making: Sense, Reason, Act framework for adaptive intelligence
Funding rounds we track
Headline, Bullhound Capital, Daphni, Felix Capital
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Sereact's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.