What if AI actually knew your customers?
Lateral keeps your customer context fresh, synthesized, and ready to use instantly. Connect once, use everywhere.
AI without context is just guessing
You’re building AI into everything - chat tools for your reps, agents that monitor accounts, workflows that draft outreach. But all of them hit the same wall: they don’t know your customers.
So your reps stitch context manually before every call. Your agents run on stale or incomplete data. Your automations fly blind or drown in data dumps that miss the signal in the noise.
The 20 minutes before every call.
Any red flags before this renewal?
Based on Feastlink’s recent activity, there are 2 concerns: 1. Support tickets up 40% this quarter—mainly around API rate limits 2. Champion (Mike Woznik) moved to a new role 3 weeks ago Their usage is still strong, but I’d address the API issues and identify the new stakeholder before the call.
Context is All You Need.
Lateral is the one stop shop for customer context. We connect your CRM, support, transcripts, and product data - then synthesize continuously so it’s actually ready for AI to use.
Now your AI just gets it. Not because someone prepped a doc. Because Lateral fed it everything relevant.
Start with your team. Scale to agents.
Your team gets sharper
Reps ask Claude, GPT, Gemini a question and get a real answer. No tab-switching, no stitching. Prep that took 15 minutes takes 30 seconds.
Your agents get smarter
Agents that autonomously run churn risk detection, auto-outreach, health monitoring, expansion signals. Building these is fast when context is already there.
Built for
You could wire up a dozen integrations, write parsing logic for each one, and hope your AI doesn’t choke on the mess. Or you could point it at Lateral and start building the thing you actually care about.
Start in days. Not months.
Connect your first data source and have reps, AI agents, and automations using it by end of the week — not months wiring up integrations yourself.
Stop stitching. Start shipping.
If you’re trying to make AI actually useful for customer work, let’s talk.
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