Vortx AI
Vortx AI is a spatial-AI lab building emem, shared and verifiable external memory of the physical world for AI agents. It keeps source files on the device or at their original location and sends agents small, signed, content-addressed tokens that can be independently checked.
At a Glance
- AI-agent developers and model/tool builders
- Earth-observation and satellite-data users
- Agriculture and deforestation-compliance teams
- Infrastructure, rail and finance decision-makers
- +2 more
AI Tools by Vortx AI
(1)
emem
Verifiable Shared Memory for Agents
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Latest News
Redesigned vortx.ai launched live, checked end-to-end sample runs and signed Earth observations.
emem_decide launched for typed decisions from a small open-weights model.
eudr.dev Claude Code plugin shipped for EUDR plot checks, Annex II statements and TRACES XML.
emem 2.4.0 added federation so an independent stranger can join as a witness.
Products & Services
Apache-2.0 protocol and hosted service for signed, content-addressed external memory. It encodes files and observations where they live, resolves small tokens to exact facts or file pieces, and lets agents verify provenance. It is exposed through MCP, REST, A2A, Python and TypeScript clients.
A private-tenancy spatial-AI product for asking questions about places and returning geographic indices and calculations grounded in Earth-observation data.
Agent service/plugin for checking farm plots against the EU Deforestation Regulation, compiling Annex II due-diligence statements and exporting TRACES XML.
A Vortx AI product for flood and heat history/property checks, listed by the company as a private or testing product.
Market Position
Vortx positions emem against conventional satellite imagery, maps and ordinary retrieval/memory systems by returning a signed, exact observation that an agent can cite and another agent can independently resolve, rather than a paraphrase or an unverifiable vector-search result. Its differentiation is the combination of spatial/Earth-observation data, content addressing, device-local custody, cryptographic receipts and agent-native MCP/A2A/REST interfaces.
Leadership
Founders
Avijeet Kumar Singh
Co-founder of Vortx AI and previously associated with Prakshep; his public profile identifies Birla Institute of Technology, Mesra as his university. He is the primary public contact for Vortx AI and describes himself as building AI that understands the physical world.
Jaya Kumari
Co-founder and CEO of Vortx AI. The company's pitch materials describe prior work at Prakshep (2016–2022, acquired) and Arya.ag (2022–2024); her public profile identifies Birla Institute of Technology, Mesra.
Executive Team
Jaya Kumari
Chief Executive Officer / Co-founder
Previously associated with Prakshep (2016–2022) and Arya.ag (2022–2024), according to the company's Seraphim Space pitch materials.
Avijeet Kumar Singh
Co-founder
Previously associated with Prakshep; studied at Birla Institute of Technology, Mesra. He is the public contact for Vortx AI and leads the public protocol, research and product communications.
Board of Directors
Founding Story
Vortx AI says it began in Bengaluru in 2024. Its early vision was to make satellite and other Earth-observation intelligence usable in ordinary AI conversations: rather than asking a model to ingest huge files and guess, create a ground-truth layer and later a verifiable memory in which agents cite the exact observation. The 2025 Seraphim Space Mission 15 pitch framed Vortx as direct-to-AI space intelligence and a ground-truth layer plugging live satellite data into LLM queries.
Business Model
Revenue Model
emem is free and open source under Apache-2.0, with no paid sessions and no key or account required for the public service. Vortx lists geo.qa private tenancy and related enterprise/product services as contact-led offerings; no public price is listed.
Pricing Tiers
Free protocol and public service; source is Apache-2.0 and the public MCP endpoint requires no key or account.
Target Markets
- AI-agent developers and model/tool builders
- Earth-observation and satellite-data users
- Agriculture and deforestation-compliance teams
- Infrastructure, rail and finance decision-makers
- Robotics, drones, cameras and sensor operators
- Enterprises needing private spatial-data tenancy
- Grounding AI-agent answers about real places and current or historical Earth conditions
- Auditable satellite, drone, camera, telescope and robot observations
- Environmental monitoring, NDVI/land-cover and change analysis
- EU deforestation due diligence and farm-plot compliance
- Flood, heat and property/site assessment
- Evidence-bound decisions in agriculture, rail/infrastructure finance and autonomous navigation