NEW
Machine Poetry builds expressive language models that reason like engineers and write like poets — deployed in minutes, trusted in production.
● Streaming
› Write a release note for our payments API in the voice of Rilke.
tone: lyrical
facts: verified
38 ms
Token stream
Coherence
0.991
Tokens / sec
1,240
Hallucination
0.02%
Trusted by teams who ship language at scale
[01] — Manifesto
Ines Varga
Co-founder & Chief Scientist
[02] — Models
Three models. One unmistakable voice.
Pick the mind that fits the moment. Every Machine Poetry model shares one alignment stack, one API and one obsession with craft.
01 / 03
Flagship
Our most expressive model. Long-form reasoning, brand-perfect tone and citations you can audit.
Context
1M tokens
Latency
38 ms
Price
$2.40 / M
02 / 03
On-device
A 3B-parameter poet that runs offline on phones, cars and kiosks. Private by design, fast by nature.
Context
128K
Latency
9 ms
Runs on
Any NPU
03 / 03
Developer
Writes, refactors and documents code with the patience of a senior engineer and the prose of an editor.
Context
400K
Latency
21 ms
Price
$1.10 / M
[03] — Capabilities
Built for products that need to sound human.
Parse
Plan
Draft
Verify
Reasoning you can read
Every answer ships with a legible chain of thought — parsed, planned, drafted and verified before a single token reaches your user.
Guardrails, native
Policy, PII and brand rules are compiled into the model — not bolted on.
Hallo
Bonjour
你好
Merhaba
Olá
こんにちは
Hola
नमस्ते
Ciao
안녕하세요
안녕하세요
Ciao
नमस्ते
Hola
こんにちは
Olá
Merhaba
你好
Bonjour
Hallo
94 languages, one tone
Your brand voice survives translation — idioms, humor and all.
Latency that feels like thought
Speculative decoding on custom silicon streams the first token before your user finishes blinking.
[04] — Live network
Move your cursor through the field. Every node is a live inference, every thread a shared memory — this is what attention looks like.
Tokens composed daily
Uptime, last 12 months
Enterprise teams
[05] — Process
From prompt to production in three movements.
Tune
Upload two hundred examples of your voice — docs, tickets, poems, anything. We never train shared models on them.
mp.tune(corpus, private=True)
Compose
Our alignment stack distills tone, taste and policy into a private adapter you own outright.
adapter = mp.compose(style=”yours”)
Deploy
One streaming endpoint with evals, tracing and rollback built in. Ship on Tuesday, sleep on Tuesday.
mp.deploy(adapter, region=”eu”)
[06] — Signal
“Machine Poetry rewrote our onboarding in a week. Activation is up 31% and our support inbox finally sounds like us.”
Maya Okonkwo
VP Product, Ledgerly
“The first model that understood our brand guidelines better than our agency did. Slightly terrifying, mostly wonderful.”
Jonas Brandt
CMO, Nordwerk
“We swapped three vendors for one endpoint. Latency dropped to 40 ms and our engineers stopped writing prompt spaghetti.”
Priya Raman
CTO, Loopwise
“Haiku Edge runs on our kiosks offline. Customers think a human wrote every greeting — in eleven languages.”
Luca Ferri
Head of CX, Orbital Rail
“Evals, tracing, rollback — it’s the first AI stack our compliance team actually applauded.”
Sofia Lindqvist
Director of Risk, Fjord Bank
[07] — Begin
Start free with 5 million tokens. No credit card, no prompt engineering degree.