Platform · v3.4

Unified Robotics & Industrial AI Infrastructure

Rayantra provides a scalable platform for autonomous warehouse robotics, AI-powered logistics coordination, computer vision systems, and industrial automation intelligence — composable, multi-site, and field-proven.

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0
Edge nodes
0ms
p99 latency
0.00%
Fleet uptime
Platform · RYN-OS
v3.4.1
  • Operator Layer
    Dashboards · API · CLI
    Layer 1
    100%
  • Orchestration
    Fleet · Missions · Scheduling
    Layer 2
    92%
  • AI Runtime
    Vision · Policy · Inference
    Layer 3
    88%
  • Edge Compute
    Distributed nodes · NPU
    Layer 4
    76%
  • Physical Fleet
    AMRs · AGVs · Pickers
    Layer 5
    100%
Live data stream— telemetry → edge → AI → fleet
8 ms
Platform Overview

A Complete Infrastructure Layer for Autonomous Operations

The Rayantra platform combines robotics orchestration, edge AI computing, warehouse intelligence, and real-time analytics into a unified industrial automation ecosystem.

Robotics Orchestration
Fleet · Missions
Edge AI Computing
Inference · Policy
Warehouse Intelligence
Vision · Telemetry
Real-Time Analytics
Streaming · OLAP
Explore platform modules
Live · Platform Stack
v3.4 · 4 layers
Stack throughput · 60s+12.4%
  • Real-Time Analytics
    Streaming · OLAP
    Layer L4
    1.4k/s
  • Warehouse Intelligence
    Vision · Telemetry
    Layer L3
    60 fps
  • Edge AI Computing
    Inference · Policy
    Layer L2
    8 ms p99
  • Robotics Orchestration
    Fleet · Missions
    Layer L1
    412 nodes
Throughput
1.4k/s
Routes
8,920
Region
EU · APAC · NA
Core Platform Modules

Six modules. One composable platform.

Adopt a single capability, an entire stack, or a custom composition. Every module exposes a typed API, deterministic semantics, and production telemetry from day one.

01

Autonomous Robotics

Fleet-grade mobile robots with self-localization, dynamic re-routing, and continuous learning across heterogeneous environments.

  • AMR · AGV · Pick
  • Multi-floor SLAM
  • Hot-swap battery
Read module spec
02

Vision Intelligence

Multi-modal perception with depth, semantic, OCR, and SKU recognition — streaming at 60 fps with deterministic latency budgets.

  • RGB-D fusion
  • SKU re-ID
  • Defect detection
Read module spec
03

Fleet Coordination

Swarm orchestration across thousands of agents with conflict-free, latency-aware planning and auctioned task allocation.

  • Auction allocation
  • Conflict-free paths
  • Live mission graph
Read module spec
04

Edge AI Infrastructure

Inference-grade edge nodes running quantized models with sub-10ms latency — local-first, network-tolerant, hardware-aware.

  • NPU + GPU
  • <10 ms p99
  • Quantized runtime
Read module spec
05

Simulation Engine

Photoreal warehouse digital twins for training, policy validation, and zero-risk pre-deployment trials at production scale.

  • Photoreal twin
  • Domain randomization
  • Replay & promote
Read module spec
06

Operational Analytics

Unified observability across robots, racks, and operators with anomaly detection, OLAP queries, and SLA tracking built in.

  • OLAP + streaming
  • Anomaly engine
  • SLA dashboards
Read module spec
Platform Architecture

Built for Scalable Industrial Deployment

A vertically integrated stack — from silicon-aware inference runtimes to cross-site policy orchestration — engineered for the realities of the warehouse floor.

Global mesh · active-active
3 regions · 412 nodes
SFO-01Americas · 102 nodes37.7°N · 122.4°WBER-04EMEA · 142 nodes52.5°N · 13.4°EBLR-02APAC · 168 nodes12.9°N · 77.6°E
Americaslive
SFO-01
102 nodes
EMEAlive
BER-04
142 nodes
APAClive
BLR-02
168 nodes
Throughputglobal
1.4k events/s
Cross-region replicationactive-active
< 200 ms
Policy deploys / weekzero-downtime
184
Mean recovery timeauto-failover
11 s
Edge SKU coveragevision OCR
99.6%
01

Distributed AI Infrastructure

Cross-region model orchestration with versioned policies and zero-downtime rollouts.

02

Industrial Edge Computing

Hardened edge nodes designed for vibration, dust, and 24/7 industrial duty cycles.

03

Scalable Robotics Deployment

From a single AMR to a 10,000-bot global fleet — without re-architecting.

04

Secure Operational Systems

Signed firmware, mTLS-everywhere, hardware-rooted attestation across every node.

05

Multi-Site Management

One control plane, many facilities. Fleet promotion, policy diffs, regional failover.

06

High-Availability Architecture

Active-active edge clusters with deterministic failover under 200 ms.

Workflow

A closed loop — from sensor to shipment.

Every cycle improves the next. Four stages run continuously, in parallel, across every facility — measured, observable, and tunable.

  1. Step 01
    Capture

    Data & Environment Intelligence

    Sensors stream telemetry, vision, and SKU state. Edge nodes fuse a continuous world model in real time.

  2. Step 02
    Inference

    AI Processing

    Quantized models run inference at the edge — vision, intent, anomaly, and policy — under deterministic budgets.

  3. Step 03
    Decide

    Autonomous Decision Making

    The orchestrator allocates tasks via auctioned bidding, generates conflict-free paths, and dispatches missions.

  4. Step 04
    Optimize

    Real-Time Optimization

    Outcomes feed back into the policy graph. The system re-plans, re-trains, and tunes throughput continuously.

Enterprise Integration

Enterprise Integration & Deployment

Drop Rayantra into your existing stack — without disrupting WMS, ERP, identity, or data infrastructure.
SAPMANHATTANOKTAKAFKAOPC · UASNOWFLAKEAZURE ADORACLE WMSMQTT
WMS01

Warehouse Management Systems

Two-way connectors for SAP EWM, Manhattan, Blue Yonder, Oracle WMS — order, inventory, and task sync.

  • SAP EWM
  • Manhattan
  • Oracle WMS
  • Blue Yonder
ERP02

ERP Integration

Real-time material flow data into SAP, NetSuite, and Microsoft Dynamics with reconciliation hooks.

  • SAP S/4
  • NetSuite
  • MS Dynamics
  • Workday
API03

Robotics APIs

Open REST and gRPC interfaces. Drive fleets, query telemetry, push policies — versioned schemas, mTLS by default.

  • REST
  • gRPC
  • Webhooks
  • Streams
IoT04

Industrial IoT Connectivity

OPC UA, MQTT, Modbus, and AMQP bridges — connect PLCs, sensors, and SCADA systems out-of-the-box.

  • OPC UA
  • MQTT
  • Modbus
  • AMQP
Stream05

Real-Time Data Pipelines

Kafka, Kinesis, Pub/Sub egress with schema registry, exactly-once semantics, and downstream Snowflake/BigQuery sinks.

  • Kafka
  • Kinesis
  • Pub/Sub
  • Snowflake
Sec06

Enterprise Security Infrastructure

SSO via SAML/OIDC, SCIM provisioning, audit-log streaming to your SIEM, and KMS-managed secrets.

  • Okta
  • Azure AD
  • SCIM
  • Splunk
Industrial Use Cases

From a single facility to a global operating fabric.

Logistics

Smart Warehousing

End-to-end automation of put-away, picking, packing and dispatch across multi-zone facilities.

Throughput
+3.4x
Error rate
-92%
Explore deployment
Supply Chain

Logistics Automation

Cross-dock orchestration, intelligent route compression, and AI-staged inventory in transit.

Dwell
-58%
On-time
99.6%
Explore deployment
Production

Manufacturing Operations

Line-side material flow, AMR-AGV fusion, and AI-powered defect detection at every station.

OEE
+18 pts
Defects
-71%
Explore deployment
Fulfillment

Distribution Infrastructure

High-velocity zone fulfillment, adaptive replenishment, and dynamic slotting at DC scale.

Pick rate
1,420/h
Footprint
-31%
Explore deployment
Trust Center · Live
SOC 2 · ISO 27001
mTLS
KMS
Audit
RBAC
SIEM
DR
Posture
100%
Incidents · 30d
0
SLA · 90d
99.99%
Security & Reliability

Industrial-Grade Security & Reliability

Built for regulated operators — security primitives, governance, and uptime guarantees expected of mission-critical infrastructure.

SOC 2 · Type IIISO 27001GDPRHIPAA-ready

  • Secure Infrastructure

    Signed firmware, mTLS everywhere, hardware-rooted attestation across all nodes.

  • Role-Based Access Control

    Granular permissions, SSO/SAML, SCIM provisioning, full operator audit trail.

  • Data Protection Systems

    Customer-managed keys, encrypted-at-rest, region-bound storage, DPA-ready by default.

  • Operational Redundancy

    Active-active edge clusters with deterministic failover under 200 ms.

  • Real-Time Monitoring

    Live telemetry, anomaly streams, SIEM hooks, and automated incident escalation.

  • Enterprise Reliability

    99.99% paid SLA, 24/7 escalation, field engineers on-call across regions.

Get Started

Build Intelligent Warehouse Infrastructure

Deploy scalable robotics intelligence, real-time AI systems, and autonomous warehouse automation with the Rayantra platform.

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Pilot in 6 weeksHardware leasing availableGlobal field engineering
Platform · Live
Edge nodes
412
Active fleet
248
Sites
12
p99 latency
8 ms
DeployOperateOptimize