Intelligence,
unboxed for humans.
Basil Smash Inc develops advanced AI & Large Language Models that power the next wave of consumer products — fast, private, and built for scale.
A full stack for consumer AI.
We design every layer — from training, to inference, to interface — so the AI feels invisible and the product feels magical.
Foundation Models
We train and fine-tune proprietary LLMs optimized for consumer-facing tasks — conversational, multimodal, and lightning fast.
Generative Experiences
From AI-native interfaces to assistive copilots, we build products people actually use — daily, joyfully.
Real-time Inference
Sub-100ms responses at consumer scale. Our infrastructure is tuned for the moment before you finish typing.
Retrieval & Memory
Long-context understanding with vector retrieval, personalization layers, and durable agent memory.
Private by Default
Privacy-preserving inference, on-device options, and strict data boundaries. Your users' data stays theirs.
Multilingual
Models built for the whole world — natively fluent across languages and cultures, not bolted on.
Built for the
consumer moment.
Most AI is built for enterprise. We build for everyone else — the people opening an app on the subway, asking a question in their kitchen, exploring something new before bed.
That means lower latency, smaller footprints, smarter personalization, and a relentless focus on what feels delightful — not just what demos well.
- Custom-trained transformer architectures
- Distillation pipelines for mobile & edge
- Real-time vector retrieval at consumer scale
- End-to-end encrypted inference pathways
// Consumer-grade AI, one call away.
import { basil } from "@basilsmash/sdk";
const response = await basil.chat({
model: "basil-1-mini",
stream: true,
messages: [
{ role: "user", content: "Plan my weekend." }
],
});
// → 78ms · 142 tokens · $0.00012How we build.
Build less, ship more.
We prefer one product people love over ten people tolerate.
Latency is design.
Speed isn't a metric — it's how a product feels in the user's hand.
Privacy is the product.
Trust compounds. We engineer for it from day one, not after the breach.
Models serve people.
Not benchmarks, not boardrooms. The user is the only customer that matters.
Let's build
something people love.
Working on a consumer product that could use real intelligence? We'd love to hear about it.