How We Work
Strategy, product thinking, architecture and engineering in one team. The first step is small, scoped and priced.
The Six Steps
Discover, Architect, Accelerate, Build, Govern, Scale.
01
Discover
Find the decision or workflow where AI adds real value; map systems, data and security requirements.
02
Architect
Decide what runs deterministic, agentic or model-driven, and where humans stay in control.
03
Accelerate
Reuse the seven components and vertical playbooks to shorten the build.
04
Build
Configure, integrate and engineer the applications, agents, data layer and workflows.
05
Govern
Security, observability, approval gates, access controls and auditability built in.
06
Scale
Extend the first use case into a reusable capability for more workflows and business units.
Engagement Model
Three phases, so you always know what you are committing to.
Phase 1 · 4 to 8 weeks
Private AI Assessment
Workflow walkthroughs with your experts; data inventory and residency review
Target workflow with human gates, model strategy and architecture
Working prototype on a sample of your data
Assessment report and blueprint you own, usable with any vendor
Fixed-price build proposal with a go-live date
Fixed fee, credited against the build if you proceed within 90 days.
Phase 2 · 4 to 7 months
Custom Private AI Build
Private environment set up within weeks
Deterministic engines and agents on the platform
Your documents, rules and history loaded into context packs
Human gates, audit diary and dashboards; UAT with your professionals
Source code and models delivered at acceptance
Fixed price, set after the assessment.
Phase 3 · Ongoing, 12-month minimum
Operate & Improve
Managed private environment, monitoring and support with a named lead
Model updates without re-platforming
Every confirm or dismiss becomes labeled data unique to you
Quarterly roadmap for the next workflow and vertical
Monthly platform and support fee. Service levels; transition assistance at exit.
If your problem is data rather than a workflow, begin with a Data Audit, either instead of or before the Private AI Assessment.
Ownership
What you own and what we retain.
Assessment
Report, blueprint and prototype findings.
Reusable methods.
Build
Your data, fine-tuned models, application-specific code and configuration.
Platform components and reusable capability IP, licensed for the life of the deployment.
Operate
All data, models and labeled feedback generated in operation.
Platform improvements.
Why Months, Not Years
A large share of the work already exists.
A typical in-house or integrator build of one expert workflow with private deployment takes 12 to 24 months. On 0DB it takes four to seven months, because the harness, the seven components and the vertical playbook already exist.
Start with a fixed-scope assessment.
Four to eight weeks with a named team. It produces a blueprint you own and can take to any vendor, and the fee is credited against the build if you proceed within 90 days.