How does Loleit's deal-risk detection work in production?

Loleit ships a GPT-class model that scores every customer conversation on 38 deal-health signals — champion engagement, pricing friction, timeline drift, multi-threader presence, and competitive mentions — within 90 seconds of the call ending. Scores push to Salesforce as a deal-risk field and trigger Slack alerts when a high-value opportunity drops below threshold. The model was first shipped in February 2023 and is retrained monthly on anonymized conversation data across 14.8 million minutes per month.

Is Loleit SOC 2 Type II compliant, and where is customer data stored?

Yes. Loleit is SOC 2 Type II, HIPAA, and GDPR compliant, with annual audits by a Big Four firm. Customer recordings and transcripts are stored in the customer's choice of AWS region (us-east-1, us-west-2, eu-west-1, eu-central-1, or ap-southeast-1) inside enterprise data zones. Data is encrypted at rest with AES-256 and in transit with TLS 1.3, and no customer conversation data is used to train shared models without explicit opt-in.

How long does implementation take, and what does my team need to do?

Median time-to-value is 11 business days. Loleit integrates natively with Salesforce, HubSpot, Outreach, Salesloft, and Zoom through OAuth — no engineering work is required on the customer's side for the standard stack. A dedicated implementation engineer handles admin configuration, custom scoring models, and CRM field mapping during the first two weeks. Enterprise customers with custom data warehouses (Snowflake, BigQuery) typically add one week for the warehouse connector.

Does Loleit replace our existing dialer, CRM, or conversation intelligence tool?

No — Loleit is designed to sit on top of your existing stack, not replace it. It writes scores, transcripts, and call metadata back to Salesforce or HubSpot as native fields, and accepts audio from Outreach, Salesloft, Aircall, Dialpad, and Zoom. Most customers retire 1–2 point tools (typically a legacy call-recording license and a separate speech-analytics add-on) after consolidating on Loleit, but the core CRM and engagement platforms stay in place.

What is the typical contract structure and average ACV?

Loleit is sold as an annual subscription priced per user, with volume discounts starting at 50 seats. Average ACV across the customer base is $38,400, with enterprise contracts typically ranging from $75K to $400K depending on seat count and the data-residency package selected. Net revenue retention over the trailing twelve months is 138%, driven primarily by seat expansion and the addition of coaching and forecast modules after the initial rollout.

Loleit · Conversation Intelligence Platform

Real-time deal-risk detection and revenue forecasting, built into every customer call.

Loleit records, transcribes, and scores every sales conversation as it happens — flagging at-risk deals, surfacing coaching moments, and forecasting pipeline with 138% net revenue retention to prove it. Customers close 31% more pipeline per quarter and cut new-rep ramp from 9 months to 6 weeks.

Book a Demo → Watch 90-sec demo

1,913paying teams across 47 countries
$38.4Kaverage ACV
138%net revenue retention (TTM)

[Prospect] Honestly, procurement is going to push back on a 3-year commit. We've been burned on autopilot renewals before.

[Rep] Understood — we can structure year-one with annual opt-out, and your CSM would own the renewal, not a bot.DEAL RISK · CONTRACT TERMS · 0.82

[Prospect] That's helpful. The bigger question is whether your forecasting actually moves the number or just decorates the dashboard.

[Rep] Fair. We update weighted forecast every 30 seconds using 14.8M minutes of conversation signal — your CRM imports tonight.BUYING SIGNAL · FORECAST INPUT · 0.71

…transcript continues · 47 turns captured

01
Capture every call, on every dialer, without a bot in the room.

Native, silent dual-channel recording across Zoom, Google Meet, Teams, Aircall, Outreach, Salesloft, RingCentral, and 38 more. No whisper, no "this call may be recorded" prompts that spook buyers. Audio + screen share + metadata land in the Loleit vault inside 9 seconds of hang-up.
```
// event: call.recording.committed
// source: salesloft · dialer
// latency: 8.4s · channels: 2 · size: 14.2MB
```
02
Transcribe in 14 languages with speaker attribution that holds up in court.

Streaming ASR tuned on 14.8M minutes of sales conversations — not generic telephony audio. Word-level timestamps, 96.4% word accuracy on enterprise benchmarks, and a redaction engine that scrubs PII before the transcript leaves your VPC.
```
asr.model  = "loleit-stream-v4.2"
asr.langs  = 14
asr.pii    = redact-on-write
asr.wacc   = 0.964
```
03
Score every turn with GPT-class deal-risk detection — shipped February 2023.

Loleit was the first vendor to ship deal-risk detection; competitors took 11 months to match. The model flags churn language, pricing objections, champion exits, and competitive mentions in real time and writes the risk back to the CRM record — no rep busywork required.
```
[12:04:18] risk.contract.terms    conf 0.82
[12:06:51] signal.buying_intent    conf 0.71
[12:09:02] competitor.gong         conf 0.94
```
04
Forecast pipeline from conversation signal — not rep optimism.

The only conversation intelligence platform with built-in revenue forecasting. Weighted pipeline updates every 30 seconds using call outcomes, multi-thread engagement, and stage velocity. CROs at Calendly and Ramp run their QBR straight from Loleit forecast views.
```
forecast.q3.weighted = $2.41M
delta.from_last_call = +$184K
model.version        = rev-cast-2.4
calibration.gini     = 0.71
```

Capability 05 — coaching workflows — lives on the full product page: scorecards, rep libraries, and manager review queues included on every plan.

Salesforce HubSpot Outreach Salesloft Zoom Google Meet Microsoft Teams Slack Gong (compare) Snowflake BigQuery Aircall

Book a Demo See the full integration matrix →

Deployed inside enterprise data zones for F500 clients. SOC 2 Type II · HIPAA · GDPR.

Subtle dark terminal-style background pattern

// measured in production · q1 2025

What 1,913 revenue teams measured in production.

14.8M

// minutes of customer conversation analyzed every month
1,913

// paying revenue teams across 47 countries
138%

// net revenue retention, trailing twelve months
4.6×

// average ROI within two billing cycles (Nucleus Research)

Source: Loleit internal telemetry, Q1 2025 — across 1,913 paying teams in 47 countries.

// capability matrix

Loleit vs. Gong vs. Chorus — a capability matrix for evaluators.

You will build this scorecard in your head anyway. Here it is, on one screen — including the rows where competitors lead.

Capability	Loleit shipped 2020 → today	Gong incumbent	Chorus ZoomInfo
Built-in revenue forecasting Not just call summaries — pipeline probability derived from conversation signals.	● Native forecast module, no add-on SKU	◐ Forecasting via separate "Gong Forecast" SKU	○ Forecasting not in core product
GPT-class deal-risk detection First shipped Feb 2023 — competitors matched ~11 months later.	● Shipped Feb 2023, default-on	● Shipped Jan 2024 (Gong Engage)	◐ Beta, ZoomInfo bundle only
Transcription accuracy (English, multi-accent) Gong remains the benchmark on raw accuracy. We are honest about this.	◐ ~95.1% on Switchboard benchmark	● ~96.4% on Switchboard benchmark	● ~95.8% on Switchboard benchmark
Native integrations Salesforce, HubSpot, Outreach, Salesloft, Zoom included at no extra cost.	● 92 tools, included on every plan	● ~140 connectors, several gated to enterprise tier	◐ ~70 connectors, Zoom-first
Coachable moments surfaced automatically Per-rep coaching feed tied to call evidence, not just aggregate call scores.	● Per-rep coaching feed, evidence-linked	◐ Aggregate call scores; per-rep feed is beta	◐ Scorecards via ZoomInfo workflow

// We lose on raw transcription accuracy. We win on forecasting + deal-risk shipped earlier, and on coaching workflows tied to evidence. Decide accordingly.

Book a Demo See customer evidence

// procurement & security

Questions your security team will ask.

Five things a procurement evaluator or infosec reviewer raises before a demo is scheduled. Direct answers, no legalese.

01 Where is our conversation data stored, and can we pin it to a specific region?

Yes. Loleit runs inside your choice of AWS region — us-east-1, us-west-2, eu-west-1 (Frankfurt), eu-central-1 (Zurich), ap-southeast-1 (Singapore), and ap-northeast-1 (Tokyo). Enterprise-tier customers are deployed inside an isolated VPC with customer-managed KMS keys. Audio is encrypted at rest with AES-256 and in transit with TLS 1.3.
02 What compliance certifications are current, and can you share the audit reports?

SOC 2 Type II (annual, current report covers Oct 2024 – Sep 2025), HIPAA, and GDPR. ISO 27001 is in observation period and targeted for Q3 2025. Audit reports are released under NDA via the trust portal; request access and most teams are provisioned same-day. We also publish a public trust.loleit.com status page with uptime and subprocessor changes.
03 How is the contract structured — can we start with a one-year term and avoid multi-year lock-in?

Standard term is one year, paid annually, with a 30-day termination-for-convenience clause after the first 90 days. Average contract value across our 1,913 customers is $38,400 ACV. Multi-year discounts exist but are not required to start. Pricing scales by seat count of recorded reps, not by total employees or volume of minutes — so finance teams can model total cost precisely before signing.
04 What does implementation look like, and when does our first insight land in production?

Typical implementation is 14–18 business days for teams under 200 reps; 4–6 weeks for F500 deployments with SSO and a private VPC. The CRM connector (Salesforce, HubSpot) and calendar/UC connector (Zoom, Google Meet, Teams) are configured in week one. The first deal-risk signal and the first coaching insight land in week two — measured, not aspirational. Ramp-time reduction from 9 months to 6 weeks is observed across the median customer, per the Bridge Group benchmark we co-built.

Still missing an answer your team needs?

Book a Demo [email protected]

Real-time deal-risk detection and revenue forecasting, built into every customer call.

A full conversation-to-revenue stack — not a transcript graveyard.

Capture every call, on every dialer, without a bot in the room.

Transcribe in 14 languages with speaker attribution that holds up in court.

Score every turn with GPT-class deal-risk detection — shipped February 2023.

Forecast pipeline from conversation signal — not rep optimism.

Writes to 92 sales and CRM tools — Salesforce, HubSpot, Outreach, Salesloft, and Zoom installed in under 9 minutes.

What 1,913 revenue teams measured in production.

Loleit vs. Gong vs. Chorus — a capability matrix for evaluators.

Questions your security team will ask.

01 Where is our conversation data stored, and can we pin it to a specific region?

02 What compliance certifications are current, and can you share the audit reports?

03 How is the contract structured — can we start with a one-year term and avoid multi-year lock-in?

04 What does implementation look like, and when does our first insight land in production?