Building blocks for in-house revenue agents.
An in-house agent can complete a sales task without carrying an opportunity through its full buying cycle. We provide the context graph, revenue harness, and simulated environments needed to keep that work coherent. Internal teams decide how reviewed outcomes improve retrieval, the harness, or a model.
One retrieval tool for current revenue context.
CRM records, calls, messages, and documents each contain part of an account. Over a long deal, the current opportunity, people involved, prior decisions, supporting evidence, and next action need to remain available without loading every record.
Our dynamically generated context graph connects those governed sources and exposes one retrieval tool. The underlying systems remain in place, and the tool returns only the context permitted for that employee and work.
Each retrieved fact retains its source so reviewers can distinguish recorded evidence from an inference.
The harness is built around the deal, not one task.
A general agent loop can call tools without knowing the company's sales process, the current commercial goal, or which decisions require approval. It can finish one request and lose why that work mattered when the deal resumes later.
Our revenue harness maintains the plan and execution history across buyer responses, internal reviews, system changes, and later meetings. It retrieves company context, uses the required tools, records what changed, and resumes from the most recent approved account and deal history.
Sales and RevOps define the work. The agent handles the computer-bound work while sales teams remain responsible for customer relationships. Customer communication, pricing, contracts, and system writes follow the company's approval path.
Evaluate complete deal trajectories.
Testing a retrieval or tool call in isolation does not show whether the intended work will continue after several dependent decisions.
Our simulated revenue environments run representative trajectories where a buyer adds a stakeholder, changes a requirement, or waits on an internal approval. Teams can evaluate whether the system used the right evidence, revised the plan, continued the work, and stopped for approval where required.
The same trajectories can run again after a change to the model, tools, instructions, retrieval setup, or harness.
Reviewed outcomes improve later evaluations.
A win, loss, renewal, or expansion does not identify which earlier step mattered. The complete deal history and reviewed outcome reasons provide better evidence than the result alone.
Salesgraph turns that history into test cases and proposed changes to retrieval or the harness. If an internal team trains a model, it chooses which reviewed records become training inputs and how they are used.
The internal team decides what to tune and what reaches production.
The platform team owns the production architecture and deployment. Existing security reviews and approval paths remain in place.