How We Work
From business problem to production AI.
0DB brings strategy, product thinking, architecture and engineering together in one team. The first step is small, scoped and priced.
The Six Steps
Discover, Architect, Accelerate, Build, Govern, Scale.
01
Discover
Identify the business decision, workflow or opportunity where AI can create meaningful value. Understand the operating environment, enterprise systems, data, security requirements and existing technology.
02
Architect
Define the target AI architecture. Determine which intelligence should be deterministic, agentic or model-driven, and where humans remain in control.
03
Accelerate
Identify reusable 0DB components and capability domains that shorten the build rather than starting from zero.
04
Build
Configure, integrate and engineer the application, agents, data layer and enterprise workflows.
05
Govern
Build security, observability, approval gates, access controls and auditability into the platform.
06
Scale
Move from the initial use case to a reusable enterprise capability that supports additional workflows, applications and business units.
Build the first use case. Create the foundation for the next ten.
Engagement Model
Three phases, so you always know what you are committing to.
Phase 1
Private AI Assessment
Four to eight weeks
Covers
Discover, Architect, Accelerate
What happens
Workflow walkthroughs with your experts; data inventory, sensitivity and residency; target workflow with human gates; model strategy; private cloud and integration architecture; harness blueprint; working prototype on a sample of your data.
Deliverables
Assessment report; architecture and harness blueprint you own and can use with any vendor; prototype demonstration; fixed-price build proposal with a go-live date.
Commercial
Fixed fee, credited against the build if you proceed within 90 days.
Phase 2
Custom Private AI Build
Four to seven months
Covers
Build, Govern
What happens
Private environment stood up in weeks; deterministic engines and agents built on the platform; your documents, rules and history loaded into context packs; human gates, audit diary and dashboards; user acceptance testing with your professionals; go-live.
Deliverables
Production system; source and models delivered at acceptance.
Commercial
Fixed price after the assessment.
Phase 3
Operate & Improve
Ongoing, twelve-month minimum
Covers
Scale
What happens
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 domain.
Deliverables
Service levels, transition assistance at exit.
Commercial
Monthly platform and support fee.
Two doors into the same process. If your problem is data rather than a workflow, start with a Data Audit instead of, or ahead of, the Private AI Assessment.
Ownership
What you own and what we retain.
Stage
What you own
What 0DB retains
Assessment
Report, blueprint, prototype findings
Reusable methods
Build
Your data, fine-tuned models, application-specific code and configuration
Platform components and reusable capability IP, licensed to you 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 a private deployment takes 12 to 24 months. On the 0DB platform the same workflow takes four to seven months, because the harness, the seven core components and the capability domain it belongs to are already built. The team has done this twelve times.
Start with a fixed-scope assessment.
Four to eight weeks, a named team, and a blueprint you own and can take to any vendor. Credited against the build if you proceed within 90 days.