Where silicon
meets intelligence.
SandLogic is building one of the world's most vertically integrated AI stacks — from custom AI silicon and compiler runtime to sovereign language models and agentic applications.
We help enterprises run private, cost-efficient AI on their own infrastructure — across voice, documents, agents, and edge devices.
21+ enterprises in production today across BFSI, healthcare, telecom, automotive, and public sector.
Any model. Any silicon.
Any future workload.
Most AI chips run either CNNs or LLMs. Most chip-runtimes dispatch only what they were designed for. CORE — the compiler-runtime inside EdgeMatrix — dispatches Transformers, Mamba, RWKV, Liquid Foundation Models, CNNs, MoE, and diffusion to silicon. Our Krsna SoC, narrower by design, ships the four model families that show up in real products today.
CORE · 8 architecture families · production scope on Krsna: LLM · Speech · CNN · State-Space
We are not another AI company.
We are not another chip company.
We are a full-stack company — engineered from the
transistor to the transformer.
Co-design over over-build
Every layer is engineered with awareness of the layers above and below. The compiler knows the chip. The runtime knows the model. The model knows the use case.
Sovereignty by default
On-prem, air-gapped, edge — these are not deployment options bolted on later. They are the design starting point for every product we ship.
Compounding knowledge
We've kept the core team together for 5+ years. Every project teaches the next one. Eight years of compound learning is our moat against single-layer giants.
Different visitors. Different first stops.
The full stack serves five distinct audiences. Tell us who you are — we'll route you to the page that answers your question fastest.
Reduce AI cost. Deploy privately. Predictable economics.
Automate QA, compliance, voice agents across 22 Indic + 40 foreign languages.
Sovereign AI infrastructure — air-gapped, auditable, vernacular-native.
Edge AI acceleration. ExSLerate IP. Co-design from silicon up.
Compact models, hardware-agnostic runtime, open weights on HuggingFace.
Vertical integration thesis, IP portfolio, founder writing, research papers.
Five layers. One philosophy.
Engineered together.
Most AI companies optimize one layer of the stack. We co-designed all five — so every byte, every cycle, every watt is accounted for, end to end.
Three pillars. One stack.
Twelve products grouped into three pillars: the infrastructure that runs the intelligence, the models & platform that produce it, and the enterprise applications that put it to work.
Infrastructure
The silicon and runtime that make intelligence cheap to run.
Models & Platform
The brains and the connective tissue that make agents work.
Enterprise Applications
Production-grade applications that ship today.
Real-time call monitoring + QA. 22 Indic + 40 foreign languages.
Multi-agent orchestration for sales, service, collections.
13.27% English WER. Two engines (transformer + Samba) under one API.
Sub-200ms first byte. MOS 4.42. Voice cloning from 30s.
The numbers that matter.
Performance isn't a slide deck. It's microseconds, watts, and token economics measured against the best-known runtimes and models in production. Every tile links to its source — page, paper, or benchmark dashboard.
Cost-per-token decides enterprise AI scale.
Enterprise AI bills aren't high because models are expensive — they're high because tokens leak. Hallucinations, context overload, wrong-size models, and inefficient runtimes burn tokens that should never have been spent.
The fix isn't another API. It's a stack engineered for the unit economics of inference — smaller models, real-time guardrails, an efficient runtime, on-prem deployment that converts variable OpEx to fixed CapEx.
The bill is the symptom. Leakage is the disease.
Live in production. Across borders.
"Our customers don't pay us for AI. They pay us for outcomes — fewer dropped calls, faster claims, lower cost-per-token. The stack is just how we get there."Kamalakar Devaki, Founder & CEO
India's leading fertility chain — Lingo powering quality analysis and buying-propensity scoring across 600,000+ calls.
Top-tier automaker leveraging the SandLogic agentic AI layer to deliver a 360° intelligent customer experience.
Largest mobile wallet & financial super-app — 94M users — onboarding the SandLogic voice + analytics stack.
Tier-1 automotive components leader using TXTR OCR AI to automate document intelligence and ops efficiency.
Leading Indian contact center — 500+ agents being screened in real time for quality, compliance, and SOP adherence.
Not the cloud. Yours.
Enterprises and governments are walking away from token-unpredictable APIs and data-leaking SaaS LLMs. They want intelligence that runs on their hardware, with their data, under their rules.
SandLogic was architected for this moment — every layer of the stack ships on-prem, edge, or sovereign cloud. No vendor lock-in. No data egress. No compromises.
See sovereign deploymentsOn-prem & air-gapped
Full stack runs inside your firewall. Zero data egress. Zero token metering.
Hardware-native
Same binary across NVIDIA, AMD, ARM, Intel, NPU, FPGA, and our Krsna SoC.
Auditable by design
HaluMon guardrails. Full reasoning traces. Compliance ready out of the box.
Cost-predictable
Fixed-cost inference. No per-token surprises. Lower TCO at scale.