MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042703 A) filed by Adios Platform Private Limited, Hyderabad, Telangana, on April 2, for 'ai-native sovereign operating system with persistent governed memory architecture and multi-layer orchestration framework (adios platform).'
Inventor(s) include Malay Baral.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A system for an AI-native sovereign operating environment, comprising: a persistent organisational memory configured to store enterprise knowledge structures including ontologies, semantic knowledge graphs, and version-controlled data models; an ephemeral local memory configured to store session-based operational context including agent state, tool execution history, and temporary reasoning data; and a runtime arbitration layer configured to control read and write operations between the persistent organisational memory and the ephemeral local memory, wherein the arbitration layer enforces validation rules, governance policies, and data lifecycle controls at the operating system runtime level. Claim 2 The system as claimed in claim 1, wherein the persistent organisational memory is implemented using a graph-based data store configured to support semantic data models and structured knowledge representation. Claim 3 The system as claimed in claim 1, wherein the ephemeral local memory is configured to store temporary task context and is automatically cleared upon termination of a user session. Claim 4 The system as claimed in claim 1, wherein the runtime arbitration layer performs validation of data transactions using rule-based governance constraints. Claim 5 The system as claimed in claim 1, further comprising a policy-driven AI model routing engine configured to evaluate parameters including language, domain classification, jurisdiction constraints, latency requirements, and cost constraints in order to select an appropriate artificial intelligence model endpoint for executing inference requests. Claim 6 The system as claimed in claim 5, wherein the model routing engine records routing decisions in a tamper-evident audit log storing metadata including model selection criteria, execution time, and jurisdiction information. Claim 7 The system as claimed in claim 1, further comprising a declarative operating system configuration framework configured to define operating system components including kernel modules, model runtime dependencies, governance policies, and compliance configurations through a deterministic build specification. Claim 8 The system as claimed in claim 7, wherein the deterministic build specification produces reproducible system deployments across different computing environments while generating a verifiable software bill of materials. Claim 9 The system as claimed in claim 1, further comprising a multi-architecture inference execution environment configured to execute artificial intelligence inference workloads across multiple hardware architectures including x86_64, ARM, and RISC-V processor architectures. Claim 10 The system as claimed in claim 9, wherein the inference execution environment includes a hardware-aware scheduler configured to allocate inference tasks across CPUs, GPUs, or neural processing units. Claim 11 The system as claimed in claim 1, further comprising a sovereign artificial intelligence marketplace configured to distribute artificial intelligence components including agents, workflow templates, and ontology modules. Claim 12 The system as claimed in claim 11, wherein the marketplace supports enterprise-to enterprise component exchange under jurisdiction-bound governance rules. Claim 13 The system as claimed in claim 11, wherein the marketplace further supports deployment of artificial intelligence applications to end-user environments while maintaining data residency within an operator-controlled infrastructure. Claim 14 The system as claimed in claim 1, further comprising a compliance configuration module configured to enforce jurisdiction-specific regulatory rules through machine-executable validation constraints applied to data processing operations and artificial intelligence inference calls. Claim 15 The system as claimed in claim 14, wherein the compliance configuration module generates a real-time compliance attestation record for system operations. Claim 16 The system as claimed in claim 1, further comprising an enterprise symbolic twin modelling module configured to represent enterprise knowledge structures using a multi-domain ontology architecture. Claim 17 The system as claimed in claim 16, wherein the ontology architecture comprises three conceptual domains including observed operational facts, semantic concepts, and structural categories. Claim 18 The system as claimed in claim 16, wherein the symbolic twin modelling module generates multiple enterprise views based on combinations of the conceptual domains. Claim 19 The system as claimed in claim 1, further comprising a confidence-scored data ingestion pipeline configured to receive data from sensor sources and progressively promote data through governance validation stages before storing the data in the persistent organisational memory. Claim 20 The system as claimed in claim 19, wherein the data ingestion pipeline maintains a provenance chain linking raw sensor observations to enterprise knowledge assertions."
Disclaimer: Curated by HT Syndication.
