Agentycs provides a sovereign AI platform for defence, government, and enterprise that keeps data on‑premises, private cloud, edge or air‑gapped environments while delivering full auditability and granular access controls. The system lets users ingest documents, databases and connected systems into a governed surface and query them in plain language, while autonomous agent workforces handle end‑to‑end software development pipelines that self‑improve under supervision. This all‑in‑one stack eliminates the need to stitch together multiple vendors and ensures data never leaves the organization.
Funding
Funding not disclosed
Founders
Product
Problem
Defence, government and regulated enterprises often rely on external AI services that require data to be transferred to third‑party clouds, creating risks of data leakage, loss of control, and dependence on foreign technology providers.
Solution
Agentycs delivers a sovereign AI platform that can be deployed on‑premises, private cloud, edge devices, or air‑gapped environments, ensuring that all data and models remain within the organization’s own estate. The platform unifies data ingestion, governed querying, and autonomous agent workforces into a single stack, eliminating the need for multiple vendors. Users can ask natural‑language questions over documents, databases, and connected systems with row‑level filters, column masks, and immutable audit trails. An AI‑driven software factory translates plain‑language intents into designs, plans, code, testing, and deployment, continuously feeding production signals back into the pipeline for self‑repair and drift mitigation. Inference runs locally next to the data, maintaining operational capability during network outages and automatically reconciling when connectivity is restored.
Target Audience
Primary customers are defence ministries, government agencies, and regulated enterprises that require AI capabilities while keeping data on their own controlled infrastructure.
Features
- Unified lakehouse that ingests documents, databases, and connected systems into a governed surface with row‑level security and full audit logging
- Natural‑language query engine with column masking, row filters, and support for PostgreSQL, Arrow Flight SQL, and S3‑compatible storage
- Autonomous agent workforce (Agent² Software Factory) that handles specification, design, planning, coding, testing, and deployment from plain‑language intent
- Edge‑ready inference plane that runs models on devices, vessels, or air‑gapped sites and auto‑reconciles after disconnection
- Single‑identity and permission model spanning data storage, retrieval, inference, applications, and infrastructure
- Open‑source foundations with support for standard protocols (OIDC, SCIM, Kubernetes, OpenAI‑compatible inference) and alternative hardware
- Built‑in governance tools for model weight ownership, data format transparency, and audit‑ready change feeds