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The manager writes the playbook. The rep sees the exact line the moment the objection lands. Better close rates. Fewer compliance surprises. Less management.
callsteer.com · Seed Round
The VP says “DataCore quoted us $90K.” The rep panics, caves on price. The VP takes the cheaper option. The rep never mentioned the $35K migration cost, the SOC 2 gap, or last year’s $340K ROI.
The data existed. It just wasn’t on screen when it mattered.
Caller claims her husband is hospitalized, needs an emergency wire. She’s crying. The agent skips dual-auth, processes it. The account was single-holder. There was no husband. The money is gone.
CallSteer recognized the social engineering pattern in real time — and prompted the agent to verify before processing.
The entire industry tells you what went wrong after the damage is done.
We intervene while the call is still live.
Every floor has one rep who never misses. We put that rep’s exact words on every screen — and catch what nobody scripted yet.
Your approved objection responses, buy signals, and close prompts — word for word from your playbook.
LiveFraud detection, de-escalation, and policy surfacing — before the damage is done.
Founding PartnersGuided troubleshooting, KB resolution, and escalation intelligence — in real time.
LiveEvery word passes through 7 layers of processing. Your playbook fires first, verbatim; the AI only speaks when the playbook is silent.
“That’s way too expensive, we got quoted half that price”
Live speech becomes text, the playbook is checked first, and the manager’s approved line hits the screen. No line yet? The AI drafts one from your DNA and flags the gap. The audio is never stored.
The playbook powers day one. Every call shows which lines win and which objections still need one. Six months in, teams can’t leave — and they don’t want to.
Real-time, playbook-driven, multi-vertical. That combination doesn’t exist yet.
| Gong ($600M raised) | Aircover ($8M+ raised) | Balto ($52M raised) | CallSteer | |
|---|---|---|---|---|
| When it helps | After the call | During the call | During the call | During the call |
| Intelligence | Post-call analytics | GenAI — sales only | Static scripts | Manager’s playbook + Company DNA; AI as the net |
| Verticals | Sales only | Sales only | Contact centers | Sales + CS + Support |
| Customization | Generic insights | Content library | Managers write scripts | Playbook + 50-field DNA; AI drafts what’s missing |
| Pushback handling | N/A | No adaptation | Same script | Adapts across 2, 3, 4 pushbacks |
| The outcome | Tells you what went wrong | Surfaces content | Reads a script | The approved line, live — and gaps flagged |
| Historical data | Stays in Gong | No import | No import | Ingests Gong/Chorus transcripts — day-one intelligence |
Priced between legacy script tools ($50–100/seat) and Gong ($100–250+/seat). Routine moments run instant, AI handles the rest — margins widen as the system learns.
Each seat is configured for its role — Sales, CS, or Tech Support. One price, one platform, three modules. No upsell tiers needed.
Variable infrastructure cost is almost entirely Deepgram STT. Claude AI handles novel responses and shrinks as winning patterns auto-promote to the deterministic fast lane. More calls = lower cost per call.
Dedicated DNA session builds the knowledge base that makes everything work. Customers who invest in setup stay.
Built bottoms-up from Bureau of Labor Statistics headcount × per-seat pricing.
Product is live. First customer deployed. Second: a 50-rep auto-warranty floor in a paid-conversion pilot.
Started selling Google AdWords at 18. Never left the phones.
SAFE • $15–20M cap • Series A target at $3.5M+ ARR