MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641049906 A) filed by Algoleap Technologies Private Limited on April 20, 2026, for System And Method For Automated Assessment Of Engineering Maturity Of A Digital Collaboration Platform.
Inventors include Prashant Achanta; Pani Baruri; Jay Jayakeerthy; and Mrudul Palvankar.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: A computer-implemented system (100) for automated assessment of engineering maturity of a digital collaboration platform is disclosed. The system comprises one or more processors (102) and a non-transitory computer-readable memory (104) storing executable instructions to maintain a machine-readable engineering knowledge ontology graph including predefined engineering maturity parameters and typed relationships defining mandatory technical dependencies and validation constraints. The system receives heterogeneous unstructured technical artifacts, segments them into machine-processable units, and generates vector embeddings stored in a vector- indexed data store (106). For each parameter, contextual constraints and semantically relevant artifact segments are retrieved using vector similarity computations. A constrained machine-learning language model, operating under structural and validation rules derived from the knowledge graph, generates structured, machine- verifiable parameter scores restricted to a predefined schema. The scores are validated against mandatory dependencies and corroborating evidence. A non- compensatory classification assigns Below Par if any parameter fails a predefined minimum threshold, and Par or Above Par only if all parameters satisfy their respective thresholds. FIG. 1
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