Data Ingestion
Secure connectors pull from SaaS tools, APIs, cloud buckets, WordPress archives, and customer apps so company data and process signals can enter a controlled workspace.
Platform Architecture
If AI is a utility like electricity or the internet, Steepworks is the private grid for company intelligence. It connects business data, maps company processes, and creates the foundation for agents, workflows, and proprietary AI models to operate inside a dedicated agent platform.
Why Steepworks:
Successful AI deployment isn't just plugging in a model. It needs company data, processes, and tools wired into an agentic structure. You can build that yourself, or run on a platform built for the entire stack — from ingestion to local LLMs.
Substrate shape
The Steepworks substrate connects data, process, and tools to ensure AI is performant in your applications. Build and deploy AI applications to solve real world use cases.
Full Stack Engine
The public story is simple. Underneath it is a full stack for ingestion, substrate state, process maps, activation, workflows, proprietary models, governance, and runtime.
Secure connectors pull from SaaS tools, APIs, cloud buckets, WordPress archives, and customer apps so company data and process signals can enter a controlled workspace.
Replicas, normalized records, entity links, facts, process maps, and workspace views turn scattered source data into a stable business snapshot.
Data catalogs, MCP tools, agent-facing schemas, process maps, and governed action contracts make the substrate usable by agent systems without raw database access.
Activated data and process context power support flows, retention flows, operations checks, publishing workflows, approvals, and other agent automations.
Workflows collect into specialist systems that act on company data and processes with roles, tools, policy, evaluation, handoffs, and runtime boundaries.
The dedicated company platform combines substrate, workflows, agent systems, proprietary AI models, governance, evaluation, observability, and runtime strategy.
Operators see data flow, process actions, agent work, approvals, audit trails, workflow state, model posture, and platform health from one console.