Services
Senior engineers, embedded — for the duration of the bet.
We don't sell hours; we ship outcomes. Pods of senior engineers and ML researchers embed in your team and own the result, from prototype to production hardening.
AI Strategy & Discovery
Know what's worth building before you build it.
Use-case mapping, ROI modelling and a data-readiness audit — compressed into two weeks and one working prototype.
Use-case mapping
Every candidate workflow scored on value, feasibility and data availability.
ROI & business case
A model your CFO can argue with — inputs exposed, assumptions documented.
Data-readiness audit
What you have, what's missing, and the cheapest way to close the gap.
Go / no-go memo
One page. A recommendation, a scope and a price — or a reason not to.
Capabilities
What our pods do best.
A capability-complete team — but specialized where it matters. We don't pretend to be experts at things we're not.
Computer vision
Detection, segmentation, pose, OCR. On-device, edge or cloud. We've shipped 40+ vision systems to production.
Embedded & edge ML
CoreML, TFLite, ONNX, Jetson, custom silicon. We optimize models down to milliseconds and milliwatts.
Agentic LLM systems
Tools, structured outputs, retrieval, evals. We build agents that get measured, not just demoed.
Full-stack & mobile
The AI is rarely the hard part — the product around it is. React, Next, Swift, Kotlin, Postgres, .NET.
MLOps & infra
Pipelines, observability, evals, retraining. Production AI is a system, not a model — we build the system.
Security & compliance
HIPAA, SOC 2, GDPR. We treat compliance as a shipping constraint, not an afterthought.
On-premise & air-gapped AI
Sovereign deployments for regulated industries.
Banks, hospitals and government run DML products with no data leaving the site. Same code, three deployment shapes.
Air-gapped on-prem
No internet. Edge boxes or your own GPU servers. Signed offline model updates and full audit logs.
Banking · GovernmentPrivate cloud / your tenant
Azure AI, AKS and Azure OpenAI deployed into your subscription. You own the keys and the bill.
Microsoft AI Cloud PartnerHybrid
Inference at the edge, analytics in the cloud. The default for retail, restaurant and garments.
Most deploymentsEngagement models
Three ways to work together.
Pick the smallest engagement that gets you to the answer. We'd rather earn the next one than oversize the first.
Discovery sprint
One ML engineer + one designer for two weeks. We frame the bet, look at your data, and ship a prototype that proves yes or no.
- Fixed price · fixed scope
- Working prototype, not a deck
- Go/no-go recommendation
Embedded pod
A 3–6 person pod that owns the build end-to-end. Weekly demos, full transparency, hand-over with paperwork.
- ML + full-stack + design
- Ship to production, not staging
- Code, docs, runbooks at handover
Long-horizon R&D
For teams placing a bigger bet. Quarterly OKRs, a senior partner accountable to your leadership, no scope theatre.
- Roadmap-aligned
- IP & publication friendly
- Hire plan included
The process
From the first call to production — in twelve weeks.
- 01Week 1
Frame the bet
One artifact: a short doc that names the one thing worth proving in the next two weeks.
- 02Weeks 2–3
Prove it with a prototype
Working code on real data. No mockups dressed up as products.
- 03Weeks 4–10
Build to production
Weekly demos. Telemetry from day one. We're shipping behind feature flags before week six.
- 04Week 11+
Harden & hand over
Runbooks, docs, on-call rotation, and a hire plan — so you don't depend on us forever.
Customer story
“We were two years into trying to build a vision pipeline internally. DML had ours in production in nine weeks — and showed our team how to maintain it. That's the engagement everyone keeps promising.”
Marcus Vance
VP Engineering · OrthoOne Manufacturing
Get started
Have a build that's been stuck for a quarter?
30-minute intro, an honest opinion, no pitch deck. We'll tell you if it's not us.
