Custom AI Development
Custom AI built for your domain: model training, fine-tuning, integration, and deployment, delivered to production by a dedicated ASC team.
- Stages
- 05
- Engagement models
- 03
Bespoke, because off-the-shelf stops at the demo
Generic models impress in a sandbox and stall on contact with your data, your systems, and your regulators. Custom AI Development is where the roadmap becomes a running system: we train and fine-tune on your domain, wire it into the tools your teams already use, pass security and compliance review, and hand it over with the docs, monitoring, and SLA to keep it healthy. A typical engagement runs 14 to 26 weeks with a dedicated team of 4 to 8 engineers.
A five-stage delivery pipeline
Each stage has a clear duration, concrete deliverables, and a named toolchain, so you always know what is being built, by when, and on what. Stages overlap in practice, but every one closes with a reviewable artifact.
Stage 01 / 2-4 wk
Discovery
We pin down the use case, map the data landscape, and prove the work is feasible before a line of model code is written.
- Use case identification and prioritization
- Data landscape assessment
- Technical feasibility and architecture draft
Tooling
From signal to shipped system
Walk the pipeline stage by stage. Select any stage to see what enters it, the toolchain that acts on it, and the artifact it leaves behind, the same flow a real engagement follows from Discovery to Handover.
Stage 01 / 2-4 wk
Discovery
We pin down the use case, map the data landscape, and prove the work is feasible before a line of model code is written.
Enters
Domain corpora, Source-system APIs, Event streams
Hands off
Technical feasibility and architecture draft
Toolchain
How a bespoke engagement is staffed
14-26 wk
Dedicated Build Team
A dedicated ASC team of 4 to 8 engineers runs the full five-stage pipeline end to end, from Discovery through Handover.
Domain-matched
Vertical Expertise
Teams are staffed with depth in your vertical: healthcare, legal, BFSI, or manufacturing, so domain constraints are designed in, not patched on.
US / KR / JP
Tri-Market Delivery
Delivery localized across three markets with the right compliance footprint for each, so the same system ships correctly in the United States, Korea, and Japan.
The delivery architecture we build on
A custom AI system spans more than a model. It runs as a layered stack: a data and feature foundation at the base, modeling on top of it, serving and integration into your tools, ops and monitoring around it, and governance over all of it. Source systems and raw signals feed the foundation at the base; trust accrues as they move up into models, services, and the controls over them. Select any layer to see the real toolchain that operates there.
Sources feeding the stack
Layer 05 of 05 / Foundation
Data & Features
The AI-ready data foundation the model trusts: pipelines, orchestration, transformation, and feature engineering.
What runs here
Works with the other service lines
A system, not a slide deck
Bespoke engagements are scoped around a working system in production, staffed by a dedicated team and delivered across three markets.
14-26 wk
Typical engagement length
4-8
Engineers on the dedicated team
5
Delivery stages, each with a reviewable artifact
3
Markets delivered to (US, KR, JP)
Start with Custom AI Development
Tell us where you are, and we will scope the first engagement around the outcome that moves your business.