DCS builds AI-native systems that connect business data, intelligence and action.
Connects to the systems businesses already run
The problem
A business runs across CRM, finance, marketing, sales, operations, communication and customer systems. Each holds part of the picture. None sees the whole, and the intelligence each offers stops at its own edge.
DCS intelligence layer
One graphOne model of the business
DCS connects these systems into one intelligence layer — a single model of the business that can be questioned, predicted against, and acted on.
Products
Two products, one platform. DCS-PIS is the intelligence. VoiceOS is the conversation. Both resolve to the same governed path from decision to business action.
Intelligence
CurrentPredictive Intelligence for modern businesses.
DCS-PIS moves a business from knowing what happened to knowing what to do — and, within governance a person sets, to doing it.
Conversation
Coming soonConversational AI across the channels your business already uses.
VoiceOS is designed as the communication and execution layer of an AI-native business: agents that hold a conversation on voice, WhatsApp or webchat, check what the business knows, take the action the conversation calls for, and record the outcome.
The difference
DCS is designed to move from insight toward action.
A dashboard ends with a chart. A recommendation ends with a task for someone else. DCS-PIS carries a decision through to an agent that can act — and puts a person between the decision and the action wherever the stakes require it.
Actions run inside governance levels 0–4. Customer-facing and financial actions require explicit approval. Some actions are never automated.
Platform
The foundation both products share.
DCS understands business entities, relationships and events.
Read moreAnalytics, predictive models and AI reasoning over one graph.
Read moreAI systems that operate within defined permissions and workflows.
Read morePersistent business context and history, isolated per organisation.
Read moreControlled actions, permissions, approvals and an audit trail.
Read moreConnection to the systems the business already runs.
Read moreArchitecture
Business systems feed data and events into a typed business context. Intelligence and models reason over that context. Agents act on the result through governed tools. Language models sit behind a gateway, so the system depends on no single provider — and no model is ever asked to compute a business figure.
Event catalogue. An event that is not declared cannot be emitted.
Tenant isolation. Enforced at the database, not only in application code.
Model Gateway. Provider-agnostic. Application code makes no provider-specific call.
Governance. Every action is classified 0–4 before it runs.
Security & trust
Each organisation's data is separated by the database itself, verified continuously.
The audit trail is append-only and outlives the workspace it describes.
Roles, approvals and multi-factor authentication where the stakes require.
Erasure and export of personal data on request.
Our security posture — including what is not yet done — is available to any prospect's reviewer.
Who DCS is for
The CRM, the books, the ad accounts and the support inbox describe the same customers differently.
One graph, one definition per metric, one place to ask.
Customers · MetricsA dip in pipeline used to mean a week of exports.
Recommendations arrive ranked, costed, and with the action attached.
Sales · ActionsWhich accounts are likely to churn, what each is worth, and what to do about it.
Churn, value, conversion and revenue, ahead of time, with confidence stated.
Customers · InsightsAgents sound useful and feel risky.
Sixteen catalogued agents, each inside a permission grant you set.
Agents · GovernanceEvery function runs its own tool, and none of them agree.
Connectors for the CRM, commerce, finance, communication and advertising tools already in use.
Connections · DataTHE COMPANY
Businesses run on tools that each optimise their own function. None of them optimises the business, because none of them can see it.
DCS was founded to build the layer that can: one model of the business, intelligence that reasons over it, and agents that act on it inside rules a person sets.
Intelligence should not live inside isolated tools.
A demo is a working session with the people building it — your systems, your questions, your governance rules.
