Capstone
Capstone runs continuously, combining monitoring with ERP/CRM state and decision workflows so upstream teams can move from signals to action without losing context. It connects to Snowflake, ARIES, Enverus, Novi, Welligence, IHS, GeoStructure, competitor intelligence, and Wolfpak, and it can run on sovereign AI infrastructure or scale on demand with other LLM providers.
Always-on monitoring and screening for upstream opportunities. It keeps market signals in the same loop as the rest of the product.
Keeps the product grounded in portfolio context, account history, business rules, and what the team already decided.
Turns signals into capital decisions the team can review, defend, and execute.
One loop, no handoff gaps
Capstone is built to keep the AI in the work, not outside it. The system learns from the business, remembers context, and moves decisions forward.
Monitor
Monitor the market and surface opportunities that fit the buy box.
State
Keep ERP/CRM logic, deal context, and decisions already made in one place.
Decide
Rank, evaluate, and decide with scenario logic and explainable outputs.
Act
Push the next step back into the workflow so work keeps moving.
The agent lane is built for upstream work
Monitoring, screening, and market context stay inside Capstone as a continuous lane. That keeps the system focused, stateful, and useful across the full decision cycle.
- Market monitoring and buy-box screening
- ERP / CRM context so the AI understands the business
- Scenario modeling and decision outputs your team can use
Structured data, market intelligence, and competitor context all feed the same loop.
Capstone is the product.
One product, one loop, one place for the AI to learn the business and push decisions forward.
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