Research programs
Our initial programs are deliberately practical: they connect model design to evaluation, deployment and the realities of multilingual users — the deep-tech work behind our blueprint for small language model design.
A foundation for studying cooperation between models with distinct capabilities.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.
Lower-cost training and inference without treating size as the only measure of quality.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.
Language systems designed with low-resource realities and careful evaluation in mind.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.
Routing and verification protocols for dependable collaboration.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.
Benchmarks that make the trade-offs visible.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.
Deployment paths that bring capable models closer to their users and data.
Expected outputs: open methods, reproducible experiments and future publications where the evidence supports them.