Kamalakar D — Founder
Founder & CEO @ SandLogic, a deep-tech AI company building private, Edge/on-prem AI infrastructure for enterprises operating in regulated, latency-sensitive, and data-critical environments. Over time, it became clear to me that enterprise AI only scales when the entire stack is designed as a system—from compute and runtime to models, rather than as cloud-first tools stitched together. SandLogic is built around this systems-first approach. The Problem As enterprises adopt AI across language, speech, and edge systems, cloud-native and black-box solutions struggle with data privacy, compliance, cost, and latency. In many real-world environments, AI must run on-prem or at the edge, with predictable behavior and full ownership. What We Are Building SandLogic is building a full-stack AI infrastructure, including: ExSLerate AI Co-Processor: an ultra-low-power AI accelerator designed for real-time inference in constrained and privacy-sensitive environments EdgeMatrix Runtime: a portability and acceleration layer enabling efficient AI execution across CPUs, GPUs, and edge devices Foundation Models (Language & Speech): - Shakti LLM Series (100M–8B+): optimized for reasoning, multilinguality, and on-prem / edge deployment - Sruthi (ASR): multilingual, noise-robust speech recognition for real-world enterprise audio - Svara (TTS): natural, low-latency speech synthesis for embedded and enterprise deployments Together, these components enable enterprises, OEMs, and system integrators to deploy end-to-end AI systems - from speech and language understanding to edge inference, fully on-prem or in controlled environments. Why SandLogic SandLogic is engineered for enterprises that require data sovereignty, predictable latency and cost, edge-to-enterprise scalability, and production-grade AI infrastructure. We are built with global enterprise deployment in mind, including regulated customers across India and the US. Recognition - Aegis Graham Bell Award (Government of India–backed) - National Startup Award - Forbes Select 200 – Globalist - 1st Runner-Up, Maruti Suzuki Incubation Cohort - Selected under India’s Chips-to-Startup (C2S) program for indigenous AI chip development Ecosystem & Strategic Programs - Selected under AWS ML Elevate / Generative AI cohort - Selected for Qualcomm Startup Mentorship Program (QSMP) focused on edge AI and on-device inference
Stackforce AI infers this person is a leader in AI infrastructure development for enterprise applications.
Location: Bengaluru, Karnataka, India
Experience: 21 yrs 6 mos
Skills
- Ai
- Edge Ai
Career Highlights
- Founder of a pioneering AI infrastructure company.
- Recognized with multiple prestigious awards.
- Expert in building enterprise-grade AI solutions.
Work Experience
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Education
B.COM at Sri Venkateswara University
Biology at Ratnam Junior College
CBSE at Nellore Central School
