Planetary Intelligence
An AI-native intelligence platform for real-time, multi-source situational awareness.
Turning fragmented data into continuous, decision-grade intelligence.
An AI-native intelligence platform for real-time, multi-source situational awareness.
The world generates more signal than any organization can interpret. Aegis closes the gap, transforming fragmented data into a single, coherent intelligence picture, continuously updated and ready for decision.
Aegis 360 Inc. is a seed-stage deep-tech startup founded in 2025, building an AI-native, stateful intelligence engine for real-time situational awareness and decision support. Built on Google Cloud Platform, Aegis continuously learns, correlates, and predicts entity behaviour across time, sensors, and jurisdictions, transforming fragmented operational data into decision-grade intelligence. We are currently onboarding select pilot partners across government, maritime, security, and enterprise sectors.
"To build continuous intelligence infrastructure that helps institutions make faster, more confident decisions at global scale."
Built from first principles around modern AI, not retrofitted onto legacy systems.
Deployable within customer-controlled infrastructure with clear data boundaries and auditability.
Designed to operate across the assets, sources, and systems you already have. No replacement. No lock-in.
Continuously learns, correlates, and predicts vessel and entity behaviour across time, sensors, and jurisdictions — a persistent intelligence layer, not a tool that produces reports.
Planetary intelligence is moving toward a simpler operating model: flexible inputs, persistent awareness, AI-assisted interpretation, and customer-controlled deployment.
A platform layer with no allegiance to any single feed, vendor, or system. Built to operate across what you already have.
A stateful engine that maintains continuous awareness across time, sensors, and jurisdictions — learning, correlating, and forecasting entity behaviour without being prompted.
Designed from first principles around contemporary machine intelligence, not retrofitted onto legacy infrastructure.
Deployable within customer-controlled environments, under your control, within defined operational boundaries.
Aegis is designed around customer-controlled deployment, clear data boundaries, auditability, and responsible AI-enabled workflows.
The public view is intentionally high-level: the platform is cloud-native, security-conscious, and built to support operational intelligence without exposing partner-specific configurations or proprietary system design.
Designed to operate within defined customer environments, with clear ownership boundaries and controlled access.
Built on Google Cloud Platform to support scalable AI, geospatial workloads, security controls, and reliable operations.
Structured for traceability, permissioned access, and operational accountability across deployment environments.
Aegis runs in cloud, private, or controlled environments — wherever your operations require.
A flexible deployment model that fits the infrastructure you already operate, with clear data boundaries throughout.
We map your existing signal sources and infrastructure, identifying integration pathways and coverage gaps.
Connect your signal sources to the Aegis intelligence layer within your controlled environment. No hardware replacement.
Activate the domain applications relevant to your mission. Calibrate to your operational environment and parameters.
Continuous, AI-powered intelligence flows to operators with decision-ready interfaces from day one.
Existing aerial assets integrated as mobile intelligence nodes. Aegis coordinates coverage and fuses data with fixed infrastructure.
Fixed ground infrastructure connected to the Aegis intelligence layer for AI-powered analysis and anomaly detection.
Commercial and government satellite assets integrated as intelligence sources within the unified Aegis picture, providing persistent global coverage.
Coordinated intelligence across distributed assets, enabling complex multi-source operations with unified situational awareness.
Most intelligence tools sit on top of your data, route it through commercial pipelines, and hand back filtered insights under their jurisdiction. They behave like applications you log into.
Aegis is built as the intelligence layer that sits between your data and your decisions, deployed inside your own infrastructure. Control is not an add-on. It is the architecture.
Not another application.
The intelligence layer between data and decisions.
You do not subscribe to intelligence from Aegis. You own it, end-to-end, inside your own infrastructure.
As sensing expands across the planet, the challenge is no longer data collection. It is interpretation.
Aegis enables a persistent, AI-powered intelligence layer capable of recognising patterns, detecting anomalies, and supporting faster decisions across every domain.
A single platform layer that ingests, fuses, and interprets signals across every domain. The foundation everything else runs on.
Architecture designed to operate inside customer-controlled infrastructure, with Google Cloud, private cloud, or controlled deployment models within defined boundaries.
Purpose-built intelligence modules spanning security, environmental monitoring, crisis response, and commercial operations.
A persistent, continuous intelligence layer operating at global scale. The infrastructure for a multi-domain world.
A compact team view for a serious new-industry startup: leadership, product, engineering, legal, and strategic advisors working across AI, space systems, cloud infrastructure, geospatial intelligence, and commercialization.
The Aegis core team is dynamic, creative, and exploration-driven by design. It brings together builders, engineers, strategists, operators, and advisors who are comfortable working at the edge of AI, space systems, geospatial intelligence, and cloud infrastructure. The team is built for a new-industry startup: curious enough to explore hard problems before the market has fully named them, technical enough to build the platform, and disciplined enough to move it toward real operational deployment.
Founder of Aegis 360 and space industry executive with experience spanning satellite programs, AI transformation, venture building, and global technology operations. Having supported multiple spacecraft missions and ISR payload initiatives, Naga leads Aegis’ vision of transforming fragmented multi-domain sensor data into decision-ready intelligence for government, defense, and commercial operators.
Founding technology leader with 25+ years of experience across enterprise software, cloud infrastructure, artificial intelligence, and large-scale distributed systems. Aswani leads the architecture of the Aegis platform, driving real-time data fusion, explainable AI frameworks, scalable analytics pipelines, and mission-critical deployment architectures.
Product and technology executive with more than two decades of experience leading enterprise software, AI, automation, security, and productivity platforms at Google, Dell EMC, MobileIron, and Ivanti. Aruna brings deep expertise in product vision, customer-centric innovation, AI-enabled solutions, and scaling products from concept to market adoption.
Early team member and operations lead at Aegis, Deva supports business development, customer discovery, partnership outreach, and day-to-day operations. His grounding in space sector markets and business strategy makes him a key contributor to Aegis’ go-to-market and growth efforts.
Former ISRO scientist and aerospace engineer with expertise in satellite avionics, communications systems, payload integration, and mission architecture. Gowri helps shape the technical foundation of Aegis by translating complex mission requirements into scalable operational systems and intelligence workflows.
Remote sensing and satellite intelligence specialist with over two decades of experience in SAR data processing, maritime surveillance, object detection, and sensor data exploitation. Madhu brings deep expertise in transforming complex sensor observations into operational intelligence, supporting Aegis’ multi-sensor fusion and situational awareness capabilities.
IIT Kharagpur alumnus specializing in artificial intelligence, machine learning, generative AI, backend systems, and large-scale data platforms. Balaji focuses on building the AI, analytics, and data infrastructure that powers Aegis’ intelligence generation and decision-support capabilities.
Cloud infrastructure and platform engineer with experience in automation, DevOps, platform reliability, and scalable cloud architectures. Sai helps build and operate the secure, resilient cloud foundation that powers Aegis’ AI, analytics, and multi-sensor intelligence platform.
Engineer focused on the intersection of artificial intelligence, autonomy, and space systems. Rohith contributes to mission simulation, machine learning, autonomous decision-support systems, and advanced analytics supporting next-generation operational intelligence workflows.
AI engineer focused on machine learning, large language models, intelligent automation, and analytics-driven workflows. Srinidhi contributes to AI prototyping, data engineering, workflow automation, and next-generation intelligence applications across the Aegis platform.
Aerospace engineer with experience spanning flight dynamics, RF systems, aerospace optimization, mission analysis, and space-domain applications. Rahi contributes to RF sensing concepts, aerospace analytics, and future multi-domain intelligence capabilities supporting the evolution of the Aegis platform.
Full-stack engineer specializing in operational interfaces and AI-powered user experiences. Navtej develops the next generation of Aegis interfaces, including interactive visualizations, intelligent dashboards, and AI-powered conversational copilots that simplify complex operational workflows.
Legal and compliance professional supporting Aegis on governance, regulatory frameworks, contracting strategies, risk management, and compliance considerations across commercial and government markets.
Technology executive with leadership experience across Planet Labs, Microsoft, Nokia, Diamanti, and emerging space ventures. Karthik advises Aegis on satellite platforms, constellation operations, systems architecture, and scalable space infrastructure strategies.
Veteran technology executive with leadership experience across Planet Labs, Rackable Systems, Red Hat, and Cygnus Solutions. Tom advises Aegis on commercialization strategy, scaling operations, strategic partnerships, and long-term business growth.
Aegis 360 is designed as a cloud-native software platform for organizations operating across regions, assets, and fast-moving decision cycles.
Aegis 360 is being prepared for controlled pilots with qualified government, enterprise, and technology partners. Publicly, we keep implementation details confidential; privately, qualified partners can review deployment scope, security requirements, and operational workflows through appropriate partner discussions.
Aegis 360 Inc. is a Delaware-incorporated, seed-stage deep-tech startup with a clear legal identity, public website, and commercial platform focus.
Aegis is onboarding a limited set of qualified partners to shape early deployments and real-world use cases.
Pilot preparation is handled through controlled scoping, partner-specific requirements, and appropriate confidentiality.
The platform is built cloud-native on Google Cloud Platform to support AI processing, geospatial workloads, security, and scalable deployments.
Engagement is limited to qualified partners whose needs align with Aegis' platform direction.
Deployment details, technical requirements, and operating models are shared through direct partner discussions.
The platform is built on Google Cloud Platform to support secure growth as pilots mature into wider deployments.
Aegis 360 is building a repeatable AI-native intelligence platform designed to be deployed, operated, and scaled for customers across mission-critical markets.
Aegis 360 is currently onboarding select pilot partners across government, maritime, security, and enterprise sectors. Qualified organizations can request a private briefing to explore pilot fit, deployment requirements, and early-access collaboration.