Partner with us to ship applied AI.
From continuous pre-training on proprietary data to full agentic deployment, we work with engineering teams to deliver AI that actually knows your domain. We take a small number of engagements per quarter.
Four ways we engage.
Engagements typically run 4–12 weeks. We staff the work directly with senior applied AI engineers and model builders from the Asteras team.
Domain SLM training
We train small language models on your proprietary data — extracting tacit domain knowledge and embedding it directly into model weights.
- Continuous pre-training from open-weight base models
- Proprietary data pipeline & curation
- Models optimized for your task, faster and cheaper than generic APIs
Agentic AI integration
Deploy domain-specialized SLMs as the cognitive core of autonomous agents that can actually do complex, end-to-end work.
- Replace brittle RAG pipelines with models that internalize context
- Autonomous agent orchestration and tool use
- Continuous model evolution as your workflows evolve
Custom model fine-tuning
When a general model isn't enough, we fine-tune. From LoRA adapters to full continued pre-training on your data.
- Data curation and synthetic augmentation
- LoRA, QLoRA, and GRPO post-training
- Inference optimization and deployment
AI strategy & due diligence
Independent technical review for teams and investors. Honest assessment of what current models can and cannot do for your problem.
- Technical due diligence on AI products
- Build-vs-buy analysis and roadmaps
- Workshops with engineering and leadership
How we work.
Three phases, no surprises.
Discovery
One week. Free of charge. We dig into your data, current systems, and what 'good' looks like. You get a written assessment whether we proceed or not.
Build
Four to ten weeks of focused work. Weekly written progress, shared codebase, and joint ownership of the result.
Handoff
Documentation, runbooks, and a paid optional support window. Our goal is your team owning the system end-to-end.
Have a problem worth working on?
Tell us what you're working on. We will write back within two business days, even if we are not the right fit.
[email protected]