Ship AI fast.
Do it right.
AxionX gives startups the AI engineering muscle of a large team at startup speed and cost. From your first fine-tune to a production pipeline, we move at the pace your roadmap demands.
The AI stack your startup needs
Purpose-built for resource-constrained teams. No enterprise bloat, just the capabilities that move the needle at your stage.
Fast ML Pipeline Setup
Get from idea to reproducible training pipeline in days. We set up your Docker environments, dataset versioning, experiment tracking, and CI/CD so your team can iterate without friction.
Fine-Tuning on a Budget
SFT and DPO fine-tuning of open-source models (Llama, Mistral, Phi) using parameter-efficient methods like LoRA, delivering production-ready models without the compute bill of training from scratch.
Fractional AI Engineering
Senior AI engineers available part-time or sprint-based, perfect for startups who need expert bandwidth without a full-time hire. We plug into your workflow and deliver like a member of your team.
Starter Dataset Packages
Curated, annotated datasets for instruction tuning and evaluation, designed to get your first fine-tuned model trained on high-quality data without building an annotation operation from scratch.
Lightweight Evaluation
Simple but rigorous eval frameworks that give you confidence in your model before shipping. Custom rubrics, automated scoring, and clear pass/fail criteria without enterprise overhead.
Dev Tooling & Automation
GitHub Actions for your ML pipeline, model versioning, and deployment scripts that let your engineering team ship AI features without getting stuck in ops work.
We grow with you at every stage
- ✓Proof-of-concept fine-tuning
- ✓Lightweight eval to guide iteration
- ✓Fractional engineering bandwidth
- ✓Reproducible training pipelines
- ✓Expert dataset curation for your domain
- ✓Engineering pod for scale-up
- ✓CI/CD-integrated evaluation
- ✓Full model registry and monitoring
- ✓Embedded team for ongoing delivery
Senior expertise.
No junior padding.
- ✓Every engineer has shipped production ML, with no onboarding ramp
- ✓LoRA / QLoRA fine-tuning on open-source models keeps compute costs low
- ✓Async-first communication that fits your engineering culture
- ✓Flat, transparent pricing, with no surprise scope creep invoices
- ✓You own all code, models, and data, with no lock-in, ever
- ✓Free 30-min discovery call to scope your first project
"Their remote engineering pod integrated within days. With overlapping hours and a culture of mentorship, they delivered features on time while raising the bar for our whole team."
Flexible engagement models
Ready to ship your first model?
Free 30-min discovery call. We'll scope your first project and get engineers assigned within 48 hours.