The intelligence and execution layer for enterprise AI
Your business.
Understood.
Put to action.
River turns fragmented company data into structured intelligence, then gives agents and workflows the context and tools to get real work done.
The gap
AI cannot run the company when it does not understand the company.
01Information is scattered across tools, documents, databases, messages, and people.
02To make reliable decisions, one needs clear, connected, and up-to-date company context.
03Value comes when decisions reach the tools and workflows where work happens.
One connected platform
From raw company data to intelligent action.
Managed knowledge bases
Connect, load, structure, transform, enrich, govern, and query company data through reusable pipelines.
Company-specific intelligence
Model your actual customers, products, processes, relationships, permissions, and business state—not a generic approximation.
Agents with real context
Build AI workers with shared company knowledge, memory, tools, permissions, evaluations, and model choice.
Workflows that execute
Move information between systems and take controlled action across SaaS, APIs, databases, and internal tools.
Deploy anywhere
Use agents inside River, through request-response or streaming APIs, embedded products, and customer-facing experiences.
Enterprise deployment
Run managed, dedicated, private-cloud, or self-hosted environments with governance and forward-deployed support.
Built around your company
Not another generic AI layer.
Every organisation defines customers, products, processes, and decisions differently. River combines reusable infrastructure with company-specific data modelling and implementation.
We begin with a measurable outcome, build the pipelines and intelligence it requires, deploy the agent or workflow where work happens, then expand the same foundation across the company.
Forward deployed
→
Action
Agents should live wherever the work lives.
Deploy through APIs, streaming interfaces, embedded applications, internal tools, and public experiences—with versioning, evaluation, observability, permissions, and A/B testing.
Discuss a deploymentExplore what AI can run
Find the highest-leverage places to deploy AI.
Share how your company operates, where information is scattered, and what still depends on manual coordination. We will identify where agents and workflows can create leverage.