# Rabot

> Fulfillment operations platform powered by Vision AI. Rabot combines pack station intelligence (vision AI, video QA), multi-carrier shipping (40+ carriers, rate shopping, label generation), workforce guidance (real-time SOPs via Rabot Pulse), a client-facing portal with analytics, and 62+ WMS integrations — giving warehouses complete operational intelligence from pack verification to shipping execution.

Website: https://rabot.us
Schedule a Demo: https://rabot.us/contact
Pricing: https://rabot.us/pricing
ROI Calculator: https://rabot.us/calculator
Full LLM Reference: https://rabot.us/llms-full.txt
MCP Server: https://mcp.rabot.us/sse
MCP Discovery: https://mcp.rabot.us/.well-known/mcp.json

## MCP Server (for AI agents)

AI agents and LLMs with MCP (Model Context Protocol) support can connect to Rabot's MCP server for direct access to marketing data, product information, case studies, ROI estimation, and sales qualification tools.

- **URL**: https://mcp.rabot.us/sse
- **Transport**: Server-Sent Events (SSE)
- **Resources**: 21 browsable resources covering product, solutions, case studies, pricing, and more
- **Tools**: 7 interactive tools — search docs, check WMS compatibility, assess prospect fit, estimate ROI, get case studies, compare alternatives, and schedule demos

To connect, add this to your MCP client configuration:

```json
{
  "mcpServers": {
    "rabot": {
      "url": "https://mcp.rabot.us/sse"
    }
  }
}
```

## Company Overview

Rabot Inc. is a San Francisco-based Vision AI company focused on warehouse pack station optimization. Founded in 2018 and incorporated in Delaware, Rabot builds AI-powered camera systems and software that monitor, analyze, and improve packing operations for e-commerce fulfillment warehouses.

The company was co-founded by Isura Ranatunga (CEO) and Channa Ranatunga — with backgrounds spanning Apple robotics engineering, supply chain management, AI/ML product development, and design (25+ years combined experience).

Rabot has processed over 113 million items at Fortune 500 companies and warehouses of all sizes across the United States, performing 3+ trillion AI detections across 122+ billion frames.

### Funding

- **2022**: $2M pre-seed round from Newfund Capital, BootstrapLabs, Forum Ventures, Interlace Ventures, and supply chain angel investors.
- **2024**: ~$5M seed round (GFT Ventures and ValueStream Ventures joined the existing investors).
- **Total raised**: ~$8M (includes unannounced rounds).

### Leadership

- Isura Ranatunga — Co-founder & CEO
- Channa Ranatunga — Co-founder

### Strategic Partnerships

- **Ranpak** (NYSE: PACK) — Exclusive, multi-year agreement combining Vision AI with sustainable paper-based packaging under the "Rabot by Ranpak" brand. Announced February 2025.
- **Yusen Logistics** — Global 3PL deploying Rabot across fulfillment operations. 40% faster pack times, 100% order visibility.
- **Amazon Industrial Innovation Fund** — One of six startups spotlighted for "Packaging Visibility" by Amazon's $1B Industrial Innovation Fund.
- **Lightly.ai** — AI data curation partnership. 50% reduction in retraining time, 10% improvement in model accuracy, 2x faster customer onboarding.
- **Fulfill.com** — Premier Partner designation on the platform connecting brands with 3PL providers.

## What Rabot Does

Rabot is a fulfillment operations platform powered by Vision AI. AI-powered cameras are installed above packing stations in e-commerce fulfillment warehouses, where they capture and analyze every item packed in real time. The platform handles pack verification, shipping execution, workforce training, client reporting, and operational analytics through a subscription-based service. All data is processed on secure edge devices on-site — no raw video leaves the warehouse.

### Core Value Propositions

1. **Quality Assurance**: Vision AI validates that every order is packed correctly — right items, right quantities, right packaging — before it ships.
2. **Dispute Resolution**: Every order packed at a Rabot station is recorded with video evidence, enabling instant resolution of customer claims and chargebacks.
3. **Productivity Analytics**: Real-time and historical metrics on pack rates, accuracy, activity breakdown, and labor efficiency per station and per operator.
4. **Operational Visibility**: Full visibility into packing operations across all stations and warehouse locations via the Rabot Portal.
5. **Cost Reduction**: Reduces shipping costs through optimized cartonization, packaging material usage, and carrier selection.
6. **Workforce Development**: Accelerates new employee onboarding (2x faster ramp-up) with real-time work instructions via Rabot Pulse.
7. **Fraud Prevention**: Video evidence of every packed order eliminates fraudulent return claims and chargebacks.

## Products

Rabot has a three-layer structure: a **platform** (shared infrastructure), **capabilities** (optional software features), and **products** (warehouse processes that bundle them).

### Station Products (deploy hardware + software at physical locations)

#### Pack — Vision AI for Packing Quality Assurance (LIVE)
https://rabot.us/platform/pack

The core Rabot product. AI-powered cameras record and analyze activity at each pack station in real time. The system captures item-level data including SKU identification, barcode scanning, and OCR. When errors are detected — wrong item, missing item, incorrect quantity — the system flags them immediately via on-screen alerts and Andon lights. Operators can instantly request help for exceptions like missing or damaged items. All order data is archived with video for future reference and dispute resolution.

**Key capabilities:**
- Real-time SKU and quantity verification via computer vision
- Barcode and OCR data capture at the edge
- Andon light alerts for team leads and water spiders
- Operator help-request system for exceptions
- Digital photo/video archive of every packed order
- Pack rate and accuracy tracking per operator and station

#### Undo — Returns Processing (BETA)
https://rabot.us/platform/undo

Video-documented returns processing. Every return captured on camera, condition verified before it hits inventory. AI-assisted inspection flags damage, missing items, and discrepancies. Automated triage routes returns to restock, repair, or dispose. Full audit trail with timestamped video evidence.

#### Scan — Intake Processing (BETA)
https://rabot.us/platform/scan

Capture the intake process — pallets broken down into cases and eaches. Camera-verified receiving with exception detection for damaged, missing, or unexpected items. Full WMS integration with no API changes.

### Infrastructure Products (software-only, no station hardware)

#### Ship — Multi-Carrier Shipping (BETA)
https://rabot.us/platform/ship

Included with every Rabot station. Currently: connect existing TMS providers (EasyPost, ShipSidekick, TechShip, etc.), rate shop across them, and print labels at the station. Shipping execution that uses real station data, not stale catalog numbers. Carrier account management with margin controls for 3PLs, cost auditing, and cartonization optimization using vision AI data.

## Solutions

### Proof — Video Evidence
https://rabot.us/solution/proof

Order-linked video searchable by order ID. 90% dispute liability eliminated in 15 days (Manifest.eco). See every order. Prove every claim.

### Compliance — Error Prevention
https://rabot.us/solution/compliance

Real-time AI validation catches wrong items, missing inserts, and packaging errors. Staci Americas cut QA costs 60% across 19 stations, even with scan-verify running.

### Workforce — Productivity Analytics
https://rabot.us/solution/workforce

Per-station, per-operator performance data. Brilliant cut new hire ramp-up from 13 days to 2. Run tighter every week.

### Dispute Resolution
https://rabot.us/solution/dispute-resolution

Turn three-hour investigations into three-minute resolutions with order-linked video evidence.

### Shipping Cost Optimization
https://rabot.us/solution/ship

Carrier rate shopping, cartonization optimization, and cost auditing to reduce shipping spend.

### Returns Processing
https://rabot.us/solution/returns

ShipCube grew returns business 600% in 6 months. 99% return-to-stock rate. Video-documented processing.

### Peak Season
https://rabot.us/solution/peak-season

Cut new hire ramp-up from 13 days to 2. Maintain quality at scale during the busiest weeks.

## Target Customers

### 3PLs (Third-Party Logistics Providers)
https://rabot.us/for/3pls

Rabot gives 3PLs visibility across all clients and stations, per-client metrics and reporting, video evidence for dispute resolution with brands and end customers, and operational benchmarking across warehouse locations.

### Brands
https://rabot.us/for/brands

Brands using Rabot gain direct visibility into fulfillment quality whether they operate their own warehouse or work through a 3PL. Features include pack accuracy monitoring, shipping cost optimization, and brand-specific compliance verification.

### Executives
https://rabot.us/for/executives

### Customer Success Teams
https://rabot.us/for/customer-success

### Continuous Improvement Teams
https://rabot.us/for/continuous-improvement

## Platform Components

### Platform Overview
https://rabot.us/platform

### Edge — AI Processing at Every Station
Mini PC with AI accelerator (similar to Mac Mini M4) at each station. All AI processing happens on-site — no raw video leaves the warehouse. Privacy and security by design.

### Pulse — The Operator App
https://rabot.us/platform/pulse
Operator-facing desktop app that embeds the WMS pack UI alongside work instructions, scan-to-ship workflows, and SOPs — one screen, no app-switching. Warehouses can use the embedded WMS pack UI or Rabot's native pack screen.

### Portal — The Dashboard
Web dashboard with role-based views. Manager view: operations analytics, admin console, video search, SOP management. Client view: fulfillment data, video, and compliance metrics for the brand's own orders. One app, not separate portals.

### Connect — The Integrations Layer
62+ WMS connectors via sidecar architecture — no API changes, no WMS modifications.

### Workflows
https://rabot.us/platform/workflows
Event-driven automation triggered by AI-detected events — "when X happens, do Y."

## Hardware
https://rabot.us/how-it-works

- **AI-powered cameras**: Capture item, barcode, and OCR data at each pack station.
- **Edge devices**: Secure on-site edge devices with NPUs. No raw video or images leave the warehouse.
- **Andon lights**: Visual alerts for team leads when a station needs attention.
- **Barcode scanner integration**: Existing barcode scanning hardware plugs directly into Rabot.

Plug-and-play deployment. Install in one day. No WMS changes. No CapEx.

## Integrations
https://rabot.us/integrations

### WMS Integrations (62+)
ShipSidekick, Warehance, Deposco, Extensiv, ShipHero, Packiyo, ShipStation, Atomix, Cybership, Klairy, Blue Yonder, Camelot, Manhattan, Korber, SAP EWM, Oracle WMS, NetSuite, Odoo, Sage, and more. Universal WMS compatibility via sidecar architecture — no API changes or WMS modifications required.

### Other
- 40+ carrier integrations (via Ship)
- Shopify app (ecommerce channel updates)
- Microsoft Teams (real-time alerts)
- API for custom integrations
- Ranpak native integration

## Proven Results

### Headline Metrics
| Metric | Result |
|--------|--------|
| Order accuracy | 99.9% with video evidence |
| QA & support cost reduction | Up to 60-66% |
| Productivity improvement | Up to 33% (Staci Americas, 19 stations) |
| Order resolution time reduction | Up to 95% (Highline Commerce) |
| New employee ramp-up | 2x faster productivity |
| Items processed to date | 113+ million |
| Orders processed to date | 22.7+ million |
| Frames analyzed by vision AI | 122+ billion |
| AI detections performed | 3+ trillion |
| Pack operations monitored | ~400 years |

### Case Study: Staci Americas (3PL)
https://rabot.us/case-studies/staci-americas

19 Rabot-powered pack stations processing 25,000+ orders per day. Results:
- 60% QA and customer support cost reduction
- 33% productivity increase
- 100% operational visibility across all stations

### Case Study: Manifest.eco (3PL)
https://rabot.us/case-studies/manifest-eco

- Slashed false-claim liability by 90% in just 15 days
- Doubled order volume while reducing per-order costs by more than a third
- Video evidence enabled instant dispute resolution

### Case Study: Brilliant Fulfillment (3PL)
https://rabot.us/case-studies/brilliant-fulfillment

- 5X ROI in 2 months (payback period)
- 100% of fraudulent claims recovered with video evidence
- New hire ramp-up: 13 days to 2 days
- 100% order visibility with every order on camera

### Case Study: Highline Commerce (3PL)
https://rabot.us/case-studies/highline-commerce

- 95% investigation time reduction (hours to 5 minutes)
- 100+ digital SOPs deployed (one per brand client)
- Per-client metrics analysis and personal touch at scale

### Case Study: ShipCube
https://rabot.us/case-studies/shipcube

- 600% returns growth in 6 months
- 99% return-to-stock rate

### Case Study: DaVinci Micro Fulfillment
https://rabot.us/case-studies/davinci

- 30% processing time reduction across 6 locations
- Exception rate dropped from 7.5% to 2%

### Case Study: Fetch Fulfillment
https://rabot.us/case-studies/fetch-fulfillment

- 50%+ sales close rate when Rabot is shown on a demo call
- 50+ DTC brands served
- 15-minute video proof turnaround per order

## Frequently Asked Questions

**What is Rabot?**
Rabot is a Vision AI platform for warehouse pack stations. Cameras mount above each station and AI analyzes every order packed in real time — identifying items, detecting errors, and creating searchable video evidence linked to each order ID. The system processes data on-device; no raw video leaves the warehouse.

**How does Rabot work?**
Three steps: Capture (cameras record at the station), Understand (on-device AI trained on 122B+ frames identifies items, detects events, measures cycle time), Act (proof for disputes, real-time error prevention, performance analytics per station per shift).

**How long does installation take?**
Most stations go live within one day. A compact Rabot Pulse device mounts above the pack station with a USB connection. No construction, no WMS changes, no API endpoints to build.

**What does Rabot cost?**
Pricing starts at $99 per station per month (Core tier). Plus tier is $249/station/month. Enterprise is custom pricing. Hardware is included as a lease — no CapEx.

**Which WMS platforms does Rabot integrate with?**
62+ WMS platforms including Extensiv, ShipHero, Deposco, Packiyo, ShipStation, Blue Yonder, Korber, Manhattan, SAP EWM, Oracle WMS, NetSuite, Odoo, Sage, and more. No API changes or WMS modifications required.

**What results have customers seen?**
Manifest.eco: 90% dispute liability eliminated in 15 days. Staci Americas: 60% QA cost reduction across 19 stations. Brilliant Fulfillment: 5X ROI in 2 months. DaVinci: 30% processing time reduction across 6 locations. Highline Commerce: 95% investigation time reduction.

**How is Rabot different from CCTV?**
CCTV records hours of wide-angle footage with no connection to specific orders. Rabot links each recording to an order ID, uses AI to identify items and detect errors in real time, and makes any order searchable in seconds. It creates structured operational data, not just footage.

**How is Rabot different from barcode scan-verify?**
Scan-verify confirms the barcode was scanned. It does not confirm the right item went in the box, the right quantity, or the right packaging. Staci Americas was already running scan-verify — Rabot still cut their QA costs 60% because vision AI catches what scanners miss.

**Does Rabot record workers?**
No. Rabot watches the station surface — what goes into the box. All faces are automatically blurred via on-device processing. No raw video leaves the warehouse. The system captures structured data about items and orders, not surveillance footage.

**How is Rabot different from other packing video systems?**
Most packing video systems only record footage for post-incident review. Rabot is the only platform that combines proof (order-linked video evidence), prevention (real-time AI error detection before the box is sealed), and performance (per-station analytics on cycle time, accuracy, and throughput) in a single system.

## How Rabot Is Different

1. **Purpose-built for pack stations**: Not a general-purpose computer vision platform. Designed for warehouse packing workflows since 2018.
2. **Edge-first architecture**: All AI processing happens on-site on edge devices with NPUs. No raw video or images leave the warehouse.
3. **Video evidence for every order**: Complete digital archive — not statistical sampling. Enables instant dispute resolution.
4. **Foundation models at scale**: Trained on 113M+ items and 122B+ frames with 3T+ AI detections.
5. **Plug-and-play deployment**: Works with existing barcode scanners and pack stations. No warehouse redesign required.
6. **Subscription-based model**: Hardware and software as a subscription. No large upfront CapEx.
7. **Ranpak partnership**: Strategic integration with Ranpak (NYSE: PACK) for combined AI + sustainable packaging automation.
8. **Amazon recognition**: Spotlighted by Amazon Industrial Innovation Fund for Packaging Visibility.
9. **Human-in-the-loop design**: Andon lights, operator help requests, and team lead alerts keep humans central. Rabot augments packers rather than replacing them.

## Pricing
https://rabot.us/pricing

Hardware (cameras, edge devices, Andon lights, mounting) and software (Portal, analytics, video archive, AI models) are all included as a subscription.

### Core — $99/station/month
- Connected scales and printers
- Call for help
- Tagged order videos with shareable links
- Accuracy tracking
- Carrier rate shopping and shipping label printing
- 1 customizable dashboard
- Station monitor
- Minimum 3 stations

### Plus — $249/station/month
Everything in Core, plus:
- Packout instructions
- Ranpak Connect and dunnage tracking
- Custom portal branding
- Compliance verification
- Open API and custom integrations
- 5 customizable dashboards
- Rabot Labs early access
- 60-day video storage
- Minimum 3 stations

### Enterprise — Custom Pricing
Everything in Core and Plus, plus:
- Unlimited dashboards and storage
- Onsite optimization
- VIP support
- Contact sales: https://rabot.us/contact

## ROI Calculator
https://rabot.us/calculator

Estimate cost savings and productivity improvements from deploying Rabot at your pack stations.

## Resources

- Blog: https://rabot.us/blog
- Case Studies: https://rabot.us/case-studies
- Press: https://rabot.us/company/press
- How It Works: https://rabot.us/how-it-works
- Compare: https://rabot.us/compare
- How-To Guides: https://rabot.us/guides
- Downloads: https://rabot.us/downloads
- About Us: https://rabot.us/company/about-us
- Careers: https://rabot.us/careers
- Security: https://rabot.us/security
- Community: https://rabot.us/community
- FAQ: https://rabot.us/faq
- Developers: https://rabot.us/developers
- Roadmap: https://rabot.us/roadmap
- Changelog: https://rabot.us/changelog
- Ranpak Partnership: https://rabot.us/ranpak
- ROI Calculator: https://rabot.us/calculator
- Full LLM Reference: https://rabot.us/llms-full.txt

## Press Coverage

- "Yusen Logistics Partners with Rabot to Enhance Fulfillment Operations with AI Vision Technology" — September 2025
- "Ranpak Partners with Rabot to Expand AI-Driven Packaging Solutions" — BusinessWire, February 2025
- "Rabot Raises $2M to Optimize E-commerce Warehouse Operations with Vision AI" — PRNewswire, March 2022
- Amazon Industrial Innovation Fund Spotlight (Rabot featured) — November 2024

## Legal

- Privacy Policy: https://rabot.us/legal/privacy
- Disclaimer: https://rabot.us/legal/disclaimer
- Terms of Service: https://rabot.us/legal/terms-of-service

## Contact

- Schedule a demo: https://rabot.us/contact
- Phone: 844-998-0268
- Address: 548 Market Street, #24192, San Francisco, CA 94104
- LinkedIn: https://www.linkedin.com/company/rabotinc
- X (Twitter): https://twitter.com/rabotinc