01
The difficult problem
Sales teams struggled to separate real buying signals from noisy data while keeping CRM records current.
← All systemsAutonomous Systems
Sales intelligence
SalesOS
An intelligence layer for account discovery, evidence-based enrichment, prioritization, outreach and pipeline risk.
AutonomousPlatform
The brief
Built around the hard part.
02
The intelligence built
Research agents gather evidence, score fit, propose next actions and synchronize decisions back into the CRM.
SectorCommerce & Growth ↗
System architecture
How the system works.
The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.
- 01
Enrichment engine
Acquire and structure the operating signal.
- 02
AI scoring and actions
Transform it through the model, rules and control layer.
- 03
CRM synchronization
Deliver a decision, artifact or action into production.
In production
Where it runs.
Deployment
Enterprise web platform integrated with established CRM systems.
What it changes
Research, action and forecasting operate from a shared evidence base.
Production stack
- Next.js
- Python
- FastAPI
- PostgreSQL
- LangChain
- CRM APIs