Plate 01 / The model The first rung of the K-series ladder. Stockholm · DC-01

K1

1.5B dense · 60B tokens · BF16 Scroll to enter Now training · day 9 of ≈14
Kapllan
K—1
Kapllan AI’s first foundation-model program

K—1 is our first step toward building Tier‑1 Nordic AI capability.

Kapllan Labs exists to build enduring AI capability in the Nordics.

We are not building toward a single app or a single model. We are building the knowledge, methods, technical competence and systems understanding required to develop advanced AI capability over time.

We believe critical AI competence should not only be rented from external systems. It must also be developed locally — close to our languages, institutions, industries, values and real-world problems.

Kapllan AI is a lab where research, engineering and practical application come together. The systems, models, tools and products that emerge are the outcome of that process working.

We are building the capability, not just the product.

N° 01 · The brand
An AI Lab, carefully named.
From NxAI to Kapllan AI.
Even the name is a system.

The name carries a spirit forward.

Kapllan AI takes its name from Kapllan Hasani — a name rooted in Kosovo and carried forward as a symbol of courage, duty and protection.

For us, Kapllan represents more than a name. It represents the values of the knight: strength with responsibility, intelligence with discipline, and power used in service of something larger than oneself.

Kapllan AI was founded with that spirit — to build AI capability that is not distant, borrowed or disconnected from the people it affects, but developed close to our languages, institutions, industries and real-world problems.

The lab carries this origin into the future: transforming inherited values of courage, protection and service into a new kind of Nordic AI capability.

Kapllan
One word. K — the model line. Pllan — the platform. Llana — the agentic model.
N° 02 · The family

Three envisioned products, one word.

N° 03 · The brand system

Designed down to the letter.

Plate 02 · The platform Pllan in Kapllan. API · SDK · evals

Pllan

From Kapllan
Pllan
The platform

One endpoint, every model. Predictable costs to two decimals.

Plate 03 · The agentic model Lla in Kapllan. 1M context · 32 languages

Llana

From Kapllan
Llana
Llana 3

A model that thinks patiently, in public.

Plate 04 · The voice A given name. 48 speakers · 184 ms latency

Ofe

Not extracted
Ofelia
Ofelia 1

A voice that doesn't slip on the third hour.

K—1 is learning to read.

A 1.5-billion-parameter dense model, training on a carefully filtered Nordic-leaning corpus. It is the first rung of the K-series ladder — small enough to iterate on, serious enough to teach the lab what its stack does under load. Quality gate at day 14 decides whether K—2 starts.

Parameters
1.5B
Dense decoder-only. GQA + QK-norm.
Tokens seen
60B
Filtered web, code, books, papers.
Context
8K
Extended to 128K in mid-train phase.
Compute
8× H100
Stockholm DC-01 · BF16 · FP32 master.
Wallclock
14d
Day 9 of ≈14. ETA 4d 11h.
Gate
d14
Reproducibility · loss · eval suite.
Now training
K—1reader
First rung. Small, careful, reproducible.
1.5B · 60B tokens
8 × H100 · 2 weeks
Queued · Q3
K—2generalist
Awaits K—1 quality gate.
8B · 2.5T tokens
32 nodes · 6 weeks
Planned · Q1 '27
K—3frontier dense
First model intended for outside scrutiny.
32B · 8T tokens
128 nodes · 10 weeks
Planned · Q4 '27
K—4frontier MoE
120B total, 15B active.
12T tokens · 64 experts
256+ nodes · 14 weeks