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Real-time AI coaching that puts the perfect response on screen during live calls. Better outcomes. Less management.
callsteer.ai · Seed Round
Every word passes through 7 layers of processing. Only battle-tested, company-trained responses reach the screen.
“That’s way too expensive, we got quoted half that price”
You just saw CallSteer save the deal and stop the fraud. Here’s what happens every day without it.
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 team has one rep who never misses. We put that instinct on every screen.
Objection handling, buy signals, and close prompts — powered by your battle cards.
LiveFraud detection, de-escalation, and policy surfacing — before the damage is done.
Founding PartnersGuided troubleshooting, KB resolution, and escalation intelligence — in real time.
LiveDNA powers the AI from day one. Every call makes it sharper. Six months in, teams can’t leave — and they don’t want to.
| 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 | Semantic AI + Company DNA |
| Verticals | Sales only | Sales only | Contact centers | Sales + CS + Support |
| Customization | Generic insights | Content library | Managers write scripts | 50+ field DNA — auto |
| Pushback | N/A | No adaptation | Same script | Adapts across 2, 3, 4 pushbacks |
| Setup | Weeks + $7.5K | Integration req. | ~45 days | 2–3 hour DNA session |
| CRM Integration | Native | API only | Custom build | HMAC-signed webhooks — SF, HubSpot, Zapier |
| Enterprise Auth | SSO (SAML) | None | SSO (add-on) | SSO/SAML — Okta, Azure AD, Google |
| vs. ChatGPT | N/A | N/A | N/A | Live audio pipeline, zero hallucination via DNA, adapts per pushback — not a chatbot |
| The outcome | Tells you what went wrong | Surfaces content | Reads a script | Thinks for you in real time |
Live speech becomes text, AI matches it against your company DNA, and the right guidance hits the screen. The audio is never stored.
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.
Every customer gets a dedicated 2–3 hour white-glove DNA session — 50+ fields including competitor battle cards, proof stacks, module-specific protocols, and knowledge base upload (file or URL import). Customers who invest in setup stay — because CallSteer actually works for them.
$1B+ raised proving the category. None cover sales + service + support in one adaptive engine.
DNA session in the morning, reps are live by afternoon. No integration, no IT ticket, no six-month rollout. First 10 companies get founding partner pricing and direct founder access.
Buyer: VP Sales / Head of CS / COO at phone-heavy orgs (10–200 reps). Founder-led → first 15, then AEs replicate.
Product is live. First customer deployed. Pipeline building across three industries.
Started selling Google AdWords at 18. Never left the phones.
SAFE • $15–20M cap • Series A target at $3.5M+ ARR