Platform Components
Deploy Faster.
0DB does not begin every engagement with a blank repository. Our technology foundation combines reusable enterprise infrastructure with AI components and capability modules that can be adapted to new companies and new use cases.
Layer 01 — Private AI Harness
A model predicts text. The harness around it is what makes AI reliable enough for regulated and fiduciary work.
Independent research shows harness design alone moves agent performance by double digits on the same model.
Context Engineering
Give AI the right enterprise knowledge at the right moment: domain data packs, case history, regulatory libraries, monitoring for rule changes, and your past engagements.
Agent & Workflow Orchestration
Coordinate specialized agents and deterministic workflows that run as code, identical on every run, with multiple agents working in parallel.
Persistent Memory & State
Maintain context across long-running processes. The engagement diary persists, and every confirm or dismiss becomes training data unique to your organization.
Verification & Observability
Track sources, outputs, behavior and system activity: recorded reasoning, numbers tracked by source, badged AI actions and full audit logging.
Guardrails & Human Gates
Keep important decisions subject to policy and human control. A plausibility engine blocks output until issues clear; no state change without a recorded human decision.
Secure Tool Use
Allow agents to work with enterprise systems through governed interfaces only, with prompt-injection prevention and every call logged.
Beneath the harness sits a swappable model core: a privately hosted small language model, OpenAI, Claude or Mistral, interchangeable without re-platforming.
Layer 02 — Reusable Components
Seven reusable AI and technology components.
Privacy-First Agentic AI
AI Assessment Automation
Behavioral & Growth Intelligence
Reusable Technology Libraries
Enterprise Data Matrix
Secure API-First Cloud Architecture
Messaging & Engagement Infrastructure
Layer 03 — Your Proprietary Intelligence
We reuse the infrastructure. You own the differentiation.
This is where the customer advantage lives: your data, your knowledge, your business rules, your workflows, your models, your customer experience and your institutional learning.
Reference Architecture
Every layer sits inside a virtual private cloud.
Nothing leaves without passing an audited gateway.
Virtual private cloud — private subnet, no data egress
Experience layer
Web, mobile, messaging, dashboards and visualization.
API gateway
OAuth 2.0 and JWT, rate limiting, WebSocket and event streaming.
Agent & workflow layer
Agent framework, deterministic workflow engines, retrieval-augmented generation over your knowledge base, assessment and prediction engines.
Model layer
Private model fine-tuned on your data, or a governed connection to a frontier model with tokenized inputs and no retention.
Data Matrix
Discovery and ingestion, cleaning, normalization and routing; governance, catalog and lineage; PII masking before model ingestion; segmented storage; analytics.
Security & monitoring
Identity and access management, secrets management, vulnerability scanning, audit logging, centralized metrics and multi-AZ auto-scaling.
Deployment Options
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 European Union (GDPR), Canada and the United States
Available to Every Build
Reusable AI capabilities, ready on day one.
Prediction engines on patented models
Multi-agent orchestration
Regulatory logic engines for DPDP, GDPR and sector rules
Privately hosted core 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: walk your workflow through the harness, see the audit trail, and get a straight answer on what your deployment would look like.