We build AI platforms that bring together satellite data, drone imagery, and enterprise systems into a single operational picture. See what is happening across your environment and act on it in real time.
Just as iridescent light reveals the full visible spectrum, Iridaxis Global reveals the full intelligence spectrum within your data.
Iridaxis Global is a full-spectrum technology intelligence company incorporated in India. Our name fuses two powerful concepts: 'Iridescent', the property of producing multiple colours across different viewing angles, symbolising multi-dimensional insight; and 'Axis', the structural backbone around which complex systems rotate.
Iridaxis Global is that axis for modern organisations: the central intelligence infrastructure around which geospatial data, AI models, drone imagery, embedded sensor feeds, and enterprise systems align and generate meaning.
Every operational environment has multiple layers of data. Seeing only one of them is a strategic liability. Iridaxis Global ensures you see all of them, simultaneously and accurately, at the speed that decisions require.
To be the intelligence axis for data-complex organisations: the platform that provides the full spectrum of analytics, autonomy, and decision support.
To architect multi-dimensional intelligence platforms that integrate geospatial, aerial, visual, and enterprise data into a single coherent picture.
The first multi-sensor AI platform purpose-built for litchi orchards, not a generic crop tool adapted for horticulture.
No LiDAR, no expensive proprietary hardware. Satellite, drone, and AI on cloud, cost-effective for Indian smallholder FPOs.
Specialist agents for each analytical function, reducing hallucination risk and improving auditability.
High-risk recommendations always enter an agronomist review queue. Governed advisory, not autonomous prescription.
Field outcomes recalibrate models each season. Every harvest makes the system more accurate.
Built for Bihar's fragmented orchard structure today, designed for multi-crop, multi-geography scale tomorrow.
Three integrated stages: data fusion, AI processing, and governed delivery. The loop closes from field observation to harvest forecast.
Satellite imagery, drone feeds, weather APIs, field sensors, and enterprise systems flow into a unified cloud data lake. Everything is versioned, georeferenced, and structured from the start.
Specialist agents analyse imagery, track crop phenology, score disease risk, forecast yield, and generate multilingual advisory. Each agent is independent, auditable, and replaceable.
Outputs pass through a confidence-based governance layer. High-risk advisories go to human review. Every seasonal outcome recalibrates the upstream models so the system keeps improving.
End-to-end intelligence infrastructure, from raw sensor data to operational action.
Intelligent platforms and agentic AI pipelines that decompose complex problems into specialist agent workflows.
Satellite imagery, NDVI/NDWI analysis, and terrain intelligence at scale, from Sentinel-2 to RESOURCESAT-2.
Crop-specific phenology intelligence, disease risk scoring, yield forecasting, and GenAI farm advisory.
Drone mission planning, orthomosaic processing, georeferencing, and patch-level intelligence from aerial assets.
Object detection, anomaly scoring, canopy classification, and multi-spectral image analysis pipelines.
DGCA-compliant flight planning, NPNT mission filing, route optimisation and coverage completeness tracking.
Time-series models, risk-adjusted forecasts, and confidence-band estimation for operational planning.
Dashboards, alert systems, procurement intelligence reports, and institutional data APIs.
Edge computing integration, sensor fusion, and autonomous system data processing pipelines.
Retrieval-Augmented Generation grounded in curated domain knowledge bases. Local-language advisory in Hindi, Maithili, English.
Architecture design, technology roadmaps, and precision agriculture research partnerships.
Cloud-native data lakes, geospatial databases, versioned data lineage, and API infrastructure on AWS/GCP.
Six flagship solution areas, each designed as an integrated system rather than a point tool.
Iridaxis Global builds agentic AI platforms that decompose complex analytical workflows into specialist, bounded agents. Each is auditable, replaceable, and continuously improving from field outcomes.
Use Cases
Litchi Orchard Intelligence System. India's first litchi-specific multi-sensor agentic AI platform for precision agriculture.
From litchi orchards in Bihar to oil pipelines, Iridaxis Global builds sector-specific intelligence platforms that understand your operational environment.
Precision orchard intelligence, yield forecasting, disease early-warning, and GenAI farm advisory, starting with India's litchi belt.
Explore ›Pipeline corridor monitoring, leak detection from satellite, infrastructure inspection via drone, and field operations intelligence.
Explore ›Urban land use mapping, infrastructure condition monitoring, traffic pattern intelligence, and city-scale geospatial analytics.
Explore ›Forest cover change detection, water body monitoring, soil health mapping, and environmental compliance analytics.
Explore ›Route optimisation, harvest-linked demand forecasting, cold chain planning, and end-to-end supply chain visibility.
Explore ›India's first multi-sensor, agentic AI platform for litchi precision agriculture. Piloted in Muzaffarpur, Bihar (India's litchi capital) with ICAR-NRCL collaboration.
Challenges Solved
A cloud-native, sensor-agnostic, modular intelligence architecture designed to scale from pilot to production.
Platform Architecture: Seven Layers
Layer 1 · Data Sources
Layer 2 · Ingestion & Storage
Layer 3 · Geo-Fusion & Processing
Layer 4 · AI / ML Processing (10 Agents)
Layer 5 · Advisory & Governance
Layer 6 · Delivery Channels
Layer 7 · Feedback & Learning
GDAL, GeoPandas, PostGIS, QGIS. ESA Copernicus, USGS EarthExplorer, NASA Earthdata, ISRO Bhuvan. REST APIs and streaming ingestion.
LangChain agentic orchestration, OpenAI GPT-4o / Anthropic Claude for GenAI, PGVector/Pinecone for RAG retrieval, PyTorch for custom CV models.
Mumbai region deployment for Indian data residency. AWS Step Functions for agent orchestration. CloudWatch monitoring. Pay-as-you-go.
Role-based access control. Encrypted data at rest and in transit. Farmer data privacy with explicit consent management.
Sensor-agnostic patch grid model works regardless of which satellite or drone provides the data. Modular agent design.
Feedback Learning Agent captures seasonal outcomes and routes them back to recalibrate all upstream models. Every harvest improves accuracy.
Request a demo of the LOIS platform or tell us about your operational environment. We will show you what is possible.
Whether you are a farmer, FPO, enterprise, or investor, we would love to hear from you.
Registered Office
IRIDAXIS GLOBAL PVT LTD New Delhi, India CIN: U62099DL2024PTC435521
Website
www.iridaxisglobal.com
iridaxisglobal@gmail.com
Incorporated
21st April 2026 Stage: MVP / Research Pilot
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