Frontier AI research, built around the belief that power and safety are not opposites.
Our teams work across core areas of AI, publishing openly and building the foundations of the next generation of intelligent systems.
Developing frontier-scale language models with emergent reasoning, long-context understanding, and robust instruction following. Our LLM research spans pretraining, fine-tuning, and evaluation at scale.
Read papersUnifying vision, language, and audio in a single architecture. Systems that perceive and reason across modalities.
Read papersTeaching models to think step-by-step and plan multi-step solutions reliably across domains.
Read papersAI systems that act in the real world — browsing, coding, executing — with reliable task completion.
Read papersUsing RL from human feedback to align model behavior with nuanced human preferences at scale.
Read papersUnderstanding what happens inside neural networks — tracing circuits, identifying concepts, making models transparent.
Read papersProduction-ready models available via API. From fast, efficient models for everyday workloads to frontier models for the hardest tasks.
Our most capable model. Excels at complex reasoning, long-context understanding, and nuanced instruction following.
Balanced intelligence and speed. The go-to for production workloads requiring high quality at scale.
Ultra-fast inference, low latency. Built for real-time applications and high-throughput pipelines.
Next generation. Significantly improved reasoning, extended context, native multimodal across text, vision, and audio.
Join waitlist →import asolabs
client = asolabs.AsoLabs(api_key="your-api-key")
response = client.messages.create(
model="aso-1-ultra",
max_tokens=1024,
messages=[{
"role": "user",
"content": "Explain quantum entanglement."
}]
)
print(response.content[0].text)We believe the most powerful AI is also the most trustworthy. Every model we ship has passed rigorous safety evaluations, red-teaming, and alignment review.
Every model undergoes adversarial testing before release, probing for misuse vectors and failure modes.
We study internal model mechanisms to understand and correct how our systems reason and decide.
RLHF and constitutional methods ensure models remain helpful, harmless, and honest in deployment.
We publish safety findings and coordinate with the broader research community on shared standards.
AsoLabs was founded on one belief: the most important thing we can build right now is AI that is both powerful and safe. Research first, always open.
Every product we ship is grounded in peer-reviewed research. We don't ship what we don't understand.
We publish papers, release model weights where safe, and contribute to open benchmarks and evaluations.
We optimize for humanity's fifty-year future, not next quarter's metrics. This shapes every decision.
We work at the boundary of what's possible. Our benchmarks are honest, our claims are reproducible.