COMPANY · TEAM & ADVISORS

Foundations built in four months.

We approached multi-agent coding not as a prompt-engineering problem, but as a distributed HPC cache-coherence and multi-hop retrieval bottleneck—building the beta foundations of EDIP, Flow Console, and Artel QA under $2,000 in bootstrapped R&D.

Founder Final-Year Aerospace Undergrad at IIT Kharagpur · Micro-Specialization in HPC Systems

Trivikram Trishir Rao Padala

Multi-agent software engineering is a distributed cache-coherence problem, and enterprise retrieval is a multi-hop bottleneck problem.

Final-year Aerospace Engineering undergraduate at IIT Kharagpur with a micro-specialization in High-Performance Computing (HPC) and experience building multi-modal data pipelines for autonomous physical systems.

Built the beta foundations of EDIP, Flow Console, and Artel QA in four months under $2,000 in bootstrapped R&D—translating processor cache-coherence protocols (MOESI) and pre-linked graph retrieval into practical harnesses for AI coding teams.

The architecture for EDIP originated from coordinating multi-asset autonomous operations across spatially sparse, temporally rich environments, before being generalized for software engineering and organizational intelligence.

Advisor Senior Test Architect · 14+ Years in Enterprise QA

Umamaheswara Tirumareddy

An AI harness only sells to an enterprise when its output is deterministic evidence that a QA organization and compliance audit will actually accept.

Fourteen years across enterprise quality engineering, test automation architecture, and large-scale QA transformation—owning end-to-end test strategy, CI/CD quality gates, and backend, API, and cloud validation.

Guides Metantel on enterprise quality requirements, compliance nuances, and the evidence standards behind Artel QA and Agentify, while connecting the team with senior engineering leadership.