Connect AI to the systems and data you already run, governed, audited, and production-ready. We integrate AI through the Knowledge Spaces control layer, so every model call is scoped, permissioned, and traceable.
Pilots are easy. The hard part is connecting AI to your real systems, current data, permissions, and workflows, without leaking data, losing traceability, or locking yourself to one vendor. That is the work we do.
An assistant that cannot see your CRM, your document store, or your line-of-business database is a demo. Integration is what turns it into a system of record your team can rely on. We handle the connection, the governance, and the guardrails so the AI uses approved, current information and acts safely inside your environment.
We connect AI to the operational systems and knowledge sources your organization already depends on.
Salesforce, HubSpot, order and case management, and internal applications through their APIs.
Postgres and other databases, so assistants reason over live operational data, not stale exports.
Policies, SOPs, contracts, and knowledge bases, ingested and kept current under governance.
REST services and pipelines. If the API you need does not exist, we design and build it.
Specific approved URLs and market or reference feeds for real-time context.
Route to the best LLM per use case on speed, accuracy, and cost, or bring your own keys.
Every integration runs through Knowledge Spaces, the control layer between your data and the models, so nothing is ad hoc.
Identify the systems, data, and workflows the AI needs, and the boundaries it must respect.
Wire up connectors and APIs; set who and what each assistant can access, per bot, user, and space.
Ship via embedded widget or API, wrapped in your own branded experience.
Every retrieval and answer is logged and traceable for audit and continuous tuning.
We never hand a model your whole database or document set. Only the minimum necessary context is retrieved from approved sources for each request, isolated per tenant, and logged. Your data stays yours, and switching models later is a configuration change, not a rebuild.
Connect an order or customer system so the assistant references current status and logistics alongside approved documentation, with every access logged.
Ground answers in FAR, CAS, and internal policy through a governed space, with citations and traceability that support audit readiness.
Give each client their own isolated tenant and private spaces, combining your core knowledge with their data without ever mixing the two.
Pipe operational data into Knowledge Spaces and surface governed, cited insight in dashboards tailored to your metrics.
Integrations run on Knowledge Spaces, so governance, isolation, and audit are built in, not bolted on.
A typical integration reaches production in about six weeks, whether you drive it or we do.
Built for regulated environments, with a GSA Multiple Award Schedule for federal buyers.
Tell us the systems and workflows you want AI to work inside. We will scope a governed integration and a path to production in about six weeks.