AI, ML & data engineering
ML engineering, generative AI & LLM apps, and MLOps in production.
We build machine learning models, generative AI and LLM applications, and the data and MLOps platforms that keep them reliable. Forecasting, scoring, assistants, RAG and workflow agents, shipped to production.
What clients see in the first 90 days
- Unified, governed data across business units
- AI features shipped into production, not slideware
- Measurable lift on the KPIs the CFO cares about
What we deliver
Every engagement is structured to be transparent, flexible, and affordable. Whether you build custom software or subscribe to a ready-made platform, the same NeosTech team handles delivery and ongoing IT support.
Fixed-scope
Defined requirements, defined price, defined timeline. No surprises. Best when scope is well understood upfront.
Time & materials
Best when requirements will evolve — you pay for delivered sprints, not a locked spec. Transparent weekly reporting.
Dedicated pod
A standing team embedded in your roadmap on a monthly retainer. Scales up or down as your needs change.
- 1Discovery1-2 weeks
- 2Architecture & estimate1 week
- 3Build in two-week sprints8-20 weeks typical
- 4Deployment & hardening1-2 weeks
- 5Ongoing SLA supportContinuous
- Full source code and IP ownership
- Architecture documentation
- A deployed production system
- A runbook for your internal team
- An ongoing maintenance SLA, if you choose it
Ready to scope this out?
We'll return a written point-of-view and a transparent, affordable plan within two business days.