Learning should compound
A correction made once should improve future decisions across agents, teams, and workflows—not disappear inside a chat transcript.
About AlphaNimble
We're building the infrastructure layer for enterprise AI.
The smartest model is temporary. The ability to retain judgment, govern change, and learn across every AI interaction is a durable advantage.
Our thesis
Every AI interaction teaches an organization something. Most organizations lose it.
AlphaNimble exists to make enterprise learning ownable. Our platform, Memuron, captures decisions, corrections, approvals, and outcomes as governed institutional intelligence that future agents can recall with provenance.
Beneath it, Artha Engine keeps a durable semantic history so organizations can change models, retrieval methods, or agent frameworks without surrendering what they have learned. Our products in finance, health, legal, HR, and manufacturing are reference implementations of that infrastructure in real workflows.
Control creates trust
Enterprise AI needs verification, provenance, permissions, retention, and a history that people can inspect before autonomy can scale.
The organization owns the loop
Models and frameworks will change. Institutional knowledge, operating judgment, and accumulated learning must remain portable enterprise assets.
Leadership that has shipped at enterprise scale
Our founders ran R&D orgs at Intel, Intuit, Dell, and IBM, then built Memuron and vertical products where wrong answers have real cost: regulated memory, financial data, and manufacturing operations.
Intel · Intuit · Dell · IBM · LTTS
Trivikram Prasad
Founder & CEO
Three decades as CTO, VP Engineering, and Country Head at Intel, Intuit, Dell, IBM, and LTTS. NASSCOM Deep Tech mentor who sets the product and safety bar for Memuron and every engagement.
Serial entrepreneur
Sunil C Bhat
Co-Founder & COO
Built and scaled ventures across media, real estate, and hospitality. Brings operational discipline and team-building rigor to every engagement.
Start with the loop