Custom models
Fine-tune open-weight base models, such as NVIDIA Nemotron, to your use case and data. Then evaluate, integrate, and keep room to switch.
- AI engineer
- Fine-tuning
- Evaluation
AI, software, and data specialists who join your team.
Build what’s next—on your terms.








































It takes curious minds. Deep expertise. And people who care as much about the outcome as you do.
We’re OneFive, a staff augmentation firm specializing in AI. We place AI, software, and data specialists inside your team. They work to your direction, in your tools, and leave the know-how behind.
A little more about usOne key hire or a small team, across AI, software, and data.
Take AI from demo to production: custom models, evaluation, integration, and the engineers to run them.
Let’s talkMore momentum for your roadmap. Thoughtful engineers who build with your team, not around it.
Let’s talkGive your ideas a stronger foundation. Connect your data, modernize your systems, and design for what comes next.
Let’s talkProduction AI is more than a model. We place specialists at every layer, from infrastructure to strategy.
Fine-tune open-weight base models, such as NVIDIA Nemotron, to your use case and data. Then evaluate, integrate, and keep room to switch.
Pipelines and retrieval your models can rely on, inside defined boundaries.
Inference, monitoring, cost limits, and reproducible deployments that hold up in production.
The software people actually use, built in your delivery rhythm.
Regional, private, or on-premises, with costs and exit paths visible.
The decisions you need to own: architecture, data boundaries, and a practical exit path.
AI should open doors, not lock you in. That’s AI sovereignty: the capability to choose where your data lives, how your models run, and who holds the keys.
Start with what you want to make possible.
We’ll help you find the people to get there.
A team to build, evaluate, and integrate AI into the way you work.
Let’s build this teamYou choose who joins. You keep direction of the work.
Your goals, your gaps, your non-negotiables. We start by understanding the work and the people behind it.
We align the skills, experience, and working style with your needs. You meet the specialists and decide who fits.
Your team, your tools, your direction. We stay connected as priorities evolve and make knowledge transfer part of the work.
How every engagement works: before, during, and after.
Scope, availability, and engagement terms are agreed with you before work begins.
You meet the specialists and decide who fits.
One specialist or a small team, embedded in yours.
Specialists work inside your team, tools, and delivery rhythm. You keep direction of the work.
Collaboration, access, and onboarding are agreed together, before day one.
Pairing, documentation, and runbooks, so your team keeps moving after the engagement ends.
A staff augmentation company that specializes in AI. We place specialists in your team across AI, software, data, and architecture, so you can bring in new capabilities without losing control of how work gets done.
Absolutely. Start with one specialist, bring together a small team, or talk through the skills you need. Scope, availability, and engagement terms are agreed with you before work begins.
It means making deliberate choices about your data, models, infrastructure, and operational knowledge. The right approach may involve hosting in your chosen region, private deployment, open-weight models, or a combination, depending on your requirements.
That is the idea. Staff augmentation adds expertise to your team while you retain direction of the work. We agree on collaboration, access, onboarding, and knowledge transfer together.
Augmentation brings specialists into your team and under your direction. A managed service hands an agreed area of delivery to a provider. If you want day-to-day direction and close collaboration, embedded specialists are the natural fit.
Code, documentation, runbooks, design decisions, and the operating skills to run what was built. Knowledge transfer is part of the work from the start, not a handover at the end.