Data architecture
A clear model for where information lives, which source is authoritative, and how structured and unstructured data are retrieved.
Service
Infrastructure & connectors
AI can only work with the context it can reach. We build the secure data and tool layer that makes useful workflows, enterprise solutions, and training possible.
What this is
The hard part is not connecting everything. It is connecting the right things with the right authority.
We design the backend beneath the visible AI experience: SQL and application data, APIs, connectors, identity, secrets, retrieval, agent runtimes, logging, and governance. The architecture creates broad useful access for employees and systems while preserving source ownership, permissions, and an auditable boundary around action.
What we build
The visible experience and the system underneath it.
Connector fabric
APIs and connectors across email, Slack, Teams, CRMs, files, databases, and the internal tools that run the business.
Agent and tool runtime
The backend services that let assistants find context, call tools, maintain state, and complete work reliably.
Security and observability
Least-privilege access, secrets handling, logs, approval gates, cost visibility, and the controls needed for enterprise use.
How the engagement moves
A real sequence, from ambiguity to something the team can run.
- 01
Inventory
Map the data, systems, owners, permissions, and integration constraints around the target workflows.
- 02
Design
Set the source-of-truth model, access scopes, connector boundaries, runtime, and observability requirements.
- 03
Connect
Build and test the smallest reliable path from data to tool use before expanding access.
- 04
Govern
Monitor quality, cost, permissions, failures, and change as more workflows begin using the layer.
A good fit when
- Useful data is fragmented across apps, databases, and documents
- AI prototypes cannot safely reach production systems
- Several workflows need the same reliable access and governance layer
What changes
- Reusable infrastructure instead of one-off integrations
- Broader access to company knowledge with narrower permissions
- A dependable foundation for agents, workflows, and employee enablement
Connected services
