Sales OS

Automated prospect enrichment and outreach pipeline for B2B growth.

Node.js
OpenAI
Supabase
Temporal

Why we built it

Base2Brand AI Sales OS was built to bring fragmented sales workflows into one operating layer. The interface shows multiple sales engines working in parallel across job opportunities, RFPs, local business intelligence, website intelligence, email, meetings, and CRM. The goal is to give sales teams one place to identify opportunities, evaluate them, and move them through the pipeline.

The problem it solves

Sales teams often work across separate tools for lead discovery, RFP research, website analysis, outreach, meetings, and pipeline management. This makes opportunity data harder to track and forces teams to switch between disconnected workflows. Base2Brand AI Sales OS brings these activities into a unified system so relevant sales information can be reviewed and acted on from one workspace.

Benefits & impact

The platform provides a consolidated view of jobs, leads, RFPs, revenue trends, opportunity sources, and AI-assisted matching. Teams can run sales flows, review high-value opportunities, generate AI proposals, and manage related activity without moving between separate systems. The dashboard also makes pipeline and source information easier to monitor from a single interface.

Scaling it further

The product can scale by expanding its existing sales engines and connecting additional opportunity sources to the same workflow. Lead discovery, RFP intelligence, website analysis, CRM, email, and meeting data can be extended as usage grows. Additional integrations and workflow automation could allow the system to support larger sales operations while keeping opportunity data centralized.

Future features

Future development could include deeper workflow automation across the existing sales engines, more configurable AI proposal generation, and additional integrations for lead and opportunity sources. CRM, email, and meeting intelligence could be connected more closely to provide stronger context throughout the sales process. Reporting could also expand with configurable pipeline views and source-level performance analysis.