Northlight provides an AI‑powered conversational assistant that lets sales reps control and automate actions across more than 30 sales tools from a single chat interface on macOS. By handling tasks such as outreach campaign creation, CRM data enrichment, meeting scheduling, and call note logging locally, it reduces context‑switching and frees reps to focus on selling.
Funding
Funding not disclosed
Founders
Product
Problem
Salespeople spend a large portion of their day switching between multiple tools—CRM, email, LinkedIn, Slack—and manually performing repetitive tasks such as data entry, lead enrichment, and follow‑up scheduling. This context‑switching reduces productivity and leads to inconsistent pipeline data.
Solution
Northlight offers an AI‑driven conversational assistant that centralizes interactions with over 30 sales applications into a single chat interface. Users issue natural‑language prompts to generate outreach campaigns, clean and enrich CRM records, schedule meetings, and log call notes, while the AI executes the underlying actions across the connected tools. The platform runs locally on macOS, eliminating the need for API keys, browser extensions, or cloud‑based data processing, and it automatically updates the sales stack in real time. By handling routine busywork, Northlight lets reps focus on selling and enables teams to scale outreach without adding headcount.
Target Audience
Primary customers are sales development representatives, business development reps, account executives, and sales leaders who rely on multiple SaaS tools for prospecting, pipeline management, and communication.
Features
- Unified chat window that controls LinkedIn, HubSpot, Salesforce, Apollo, Gmail, Slack and other sales apps without leaving the conversation
- Zero‑setup integration: download the Mac app, log in, and start prompting; no API keys or IT tickets required
- AI‑generated outbound experiments and A/B tests that can be launched in seconds from a single prompt
- Automatic CRM maintenance including contact enrichment, deduplication, call logging and note‑taking
- Persistent, multi‑channel follow‑up sequences that run autonomously and trigger escalations based on prospect engagement
- Enterprise‑grade security: data stays on the local machine, no browser extensions, SOC 2‑compliant infrastructure
- Credit‑based usage model where each action (e.g., sending a message, updating a record) consumes a small number of credits