Components
Reusable Platform Components
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.
The Seven Components
Seven reusable AI and data components.
Hardened in production and stitched together per engagement. You get a platform that already works; we configure the differentiation.
01
Data Matrix
Our data readiness and governance layer: cleanses, deduplicates, masks and serves enterprise data to AI agents, with PII tokenized before any model sees it.
02
Behavioral AI & Growth Intelligence
Patented behavioral AI and growth-intelligence engines for segmentation and prediction: models that segment users, infer intent and find growth opportunities.
Two issued AI patents
03
AI Assessment Automation
Encodes expert judgment by scanning hundreds of uploaded documents to understand the relationships and discrepancies between them, turning diagnostic, compliance and risk assessments into structured, source-linked scores.
04
Privacy-First Agentic AI & Workflow Harness
Orchestrates any model, private or frontier, inside a governed environment with persistent memory, guardrails and human approval gates. Deterministic workflows give the same answer on every run; the model drafts and explains, it does not decide.
05
Core Technology Libraries
Proprietary libraries for ingestion, identity, notifications and caching: the modules that must exist before the first model does anything useful.
One issued patent
06
Secure API-First Cloud Architecture
Every capability behind a standard interface, with SOC 2-aligned controls: access management, vulnerability scanning, audit logging and compliance monitoring.
07
Messaging & Workflow Engine
Spans SMS, WhatsApp, email, push and in-app channels, for outreach, automated workflows, AI content delivery and real-time commerce.
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
Your Proprietary Intelligence
We reuse the infrastructure. You own the differentiation.
Your data, your rules, your workflows, your fine-tuned models and your institutional learning sit above the components. All of it stays yours.
Reference Architecture
Every layer sits inside a virtual private cloud.
Nothing leaves the environment without passing an audited gateway.
Virtual private cloud · private subnet · no data egress
Experience layer
Web, mobile, messaging and dashboards.
API gateway
OAuth 2.0 and JWT, rate limiting, event streaming.
Agent & workflow layer
Agents, deterministic workflow engines, retrieval over your knowledge base, assessment and prediction engines.
Model layer
A private fine-tuned model, or a governed frontier connection with tokenized inputs and no retention.
Data Matrix
Ingestion, cleansing, governance and lineage; PII masked before model ingestion.
Security & monitoring
Identity and access, secrets, scanning, audit logging, metrics and multi-AZ auto-scaling.
Ready on Day One
Deploy where your data is allowed to live.
0DB-managed private cloud in a dedicated tenancy
Your own cloud account, operated by 0DB
On-premises or a sovereign region where required
Client-side deployment of the private model for the most sensitive data
Data residency by jurisdiction: India (DPDPA), the EU (GDPR), Canada and the United States
Reusable AI capabilities available to every build
Prediction engines on patented models
Multi-agent orchestration
Regulatory logic engines for DPDP, GDPR and sector rules
Privately hosted language model fine-tuned on industry data
Retrieval-augmented generation pipelines
Sentiment classification
Computer vision and image intelligence
Meeting, audio and video intelligence
Neural voice synthesis
See the harness running in a live deployment.
A working session with an architect: your workflow, the audit trail, and a clear picture of your deployment.