AI you own, not AI you rent

Custom Private AI
Without the NOISE

Turn your proprietary data, workflows and expertise into secure, production-ready AI, without giving up control of what makes your business unique.

The Market

Regulated businesses want the productivity of AI without giving up control of their data, their decisions or their audit trail.

The market’s default options fail at least one of those tests.

Public models

Your data transits or trains a model you do not control. Counsel, lenders and regulators will not accept it.

Chatbot wrappers

A prompt in, text out. No memory, no workflow, no audit trail.

Build it yourself

Two years and scarce talent before the first model does anything useful.

Global integrators

Enterprise price for a program that starts from a blank page and ends when the budget does.

And while collecting data has gotten easier, understanding it and uncovering linkages is still hard. Governing and monetizing it is even harder.

One problem feeds the other: public AI exposes your data, while unused data starves your AI. They must be solved together. 0DB exists for the company in the middle: serious about AI, serious about privacy, and unwilling to wait.

One problem feeds the other: public AI exposes your data, while unused data starves your AI. They must be solved together. 0DB exists for the company in the middle: serious about AI, serious about privacy, and unwilling to wait.

One problem feeds the other: public AI exposes your data, while unused data starves your AI. They must be solved together. 0DB exists for the company in the middle: serious about AI, serious about privacy, and unwilling to wait.

The Difference

Your competitive advantage isn’t the model. It’s what you build around it.

You cannot subscribe to your own intelligence. 0DB builds the layer that connects it to AI.

Your Business

  • Data
  • Knowledge
  • Processes
  • Decisions
  • Systems
  • Customers

Your Private AI Intelligence Layer

  • Context
  • Agents
  • Workflows
  • Memory
  • Decision engines
  • Governance

Best-Fit AI Models

  • Private models
  • OpenAI
  • Claude
  • Mistral
  • Future models

One platform, one build: the engine that keeps your AI private is the engine that makes your data pay.

One platform, one build: the engine that keeps your AI private is the engine that makes your data pay.

One platform, one build: the engine that keeps your AI private is the engine that makes your data pay.

Components

Build once. Adapt intelligently. Deploy faster.

0DB builds custom private AI for businesses it partners with: businesses whose data cannot leave their control and whose decisions must stand up to audit. Rather than starting each engagement from a blank repository, we have spent the last several years building and hardening seven reusable AI and data components which we stitch together to bring Custom Private AI Solutions to market faster.

Seven reusable components

  1. Data Matrix
  2. Behavioral & Growth AI2 patents
  3. AI Assessment Automation
  4. Agentic AI Harness
  5. Core Tech Libraries1 patent
  6. Secure Cloud Architecture
  7. Messaging & Workflow Engine

Stitched together per engagement

Governed harness

memory · guardrails · human approval gates

Custom Private AI Solutions

assembled from the seven components

Working product in under 4 weeks
Production in about 90 days

Four verticals

  • V1Fintech
  • V2Legal & Compliance
  • V3Operations
  • V4Human Behavior

01

Data Matrix. Cleanses, deduplicates, masks and serves enterprise data to AI agents.

02

Behavioral AI & growth intelligence. Patented engines for segmentation and prediction (two issued AI patents).

03

AI assessment automation. Encodes expert judgment across hundreds of documents, surfacing relationships and discrepancies.

04

Agentic AI & workflow harness. Privacy-first orchestration of any model, with memory, guardrails and human approval gates.

05

Core technology libraries. Ingestion, identity, notifications and caching (one issued patent).

06

Secure API-first cloud architecture. SOC 2-aligned controls, built into development and deployment.

07

Messaging & workflow engine. SMS, WhatsApp, email, push and in-app channels.

We reuse the infrastructure. You own the differentiation.

We reuse the infrastructure. You own the differentiation.

We reuse the infrastructure. You own the differentiation.

The Four Verticals

Proven in four verticals where correctness and privacy matter most.

V1

Fintech

Payments, lending and transaction infrastructure where every figure must reconcile.

V2

Legal & Compliance

Assessments, diligence and regulatory workflows that must stand up to audit.

V3

Operations

Multi-site and field operations where traceability and chain of custody matter.

V4

Human Behavior

Patented segmentation and prediction that reads engagement, intent and growth.

Components that work across verticals

Because the same seven components underpin every vertical, agents work together across them: a financial forensic AI agent works with legal and operations AI agents to understand a distressed business and create a turnaround or bankruptcy plan.

Under 4 weeks

to a working product

About 90 days

to production

What It Means

Five commitments, written into the architecture rather than promised in a policy.

Private by Design

Your tenancy or ours. No data egress. Your data never trains or transits a public model.

Deterministic Where It Matters

Scoring and workflows run as code. The model drafts and explains; it does not decide.

Audited End to End

Every AI action badged, every figure source-linked, every material decision human-approved.

Model-Flexible and Yours

A private model, OpenAI, Claude or Mistral behind one harness, swappable without re-platforming.

Built to Operate, Not to Demo

Monitoring, auto-scaling and a team that has run twelve production systems.

0DB’s Data Matrix

AI agents are only as smart as the data underneath them.

Every build starts with Data Matrix: discovery, cleansing, governance and protection of the data the AI will use, so the outputs can be trusted and audited. Also available on its own.

Scattered data blocks before governance
Scattered data blocks before governance
Data blocks resolved into a governed, ordered lattice
Data blocks resolved into a governed, ordered lattice

Proof

Built in the real world. Reused across industries.

Under 4 weeks

Complex decision intelligence

A working product in under four weeks, adapted from an existing compliance and assessment engine.

6 months

AI platform in six months

Delivered in about six months; the partner had estimated two-plus years and $3M+ to build internally.

PCI-DSS · SOC 2 Type II

Regulated payments

An EV charging payments platform created by extending a proven transaction core, not rebuilding it.

How We Work

From business problem to production AI.

01

Discover

02

Architect

03

Accelerate

04

Build

05

Govern

06

Scale

Build the first use case. Create the foundation for the next ten.

Build the first use case. Create the foundation for the next ten.

What could AI do if it were built around your business?

Bring one expert process that depends on documents, rules and judgment, and the list of data that can never leave your control. We will show you the harness running in a live deployment.

The first step is a four to eight week Private AI Assessment: fixed fee, credited against the build if you proceed within 90 days. You own the report and the architecture blueprint.