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Integrations

Connect everything. No fees, no gates.

Five enterprise-grade ways to move data in and out, plus 80+ pre-built connectors, every one included in the platform. No per-connector fees, no premium tiers, no paywall on your own data. Conversations in, scores back out, both directions.

5
Exchange methods
80+
Pre-built connectors
35+
Languages
$0
In connector fees
The difference

Most platforms bill you to connect. We don't.

In this category, integrations are where the invoice quietly grows: connectors metered per agent, premium systems locked to a higher tier, a surcharge to send a vendor your own conversations. QEval® does the opposite. Every method and every connector is included, and your data moves both directions.

The industry norm

Connect, then pay again

Connectors are commonly billed per agent, premium and legacy systems sit behind enterprise tiers, and the real total lands well above the base license once integration is in scope.

$15 to $50
Per agent / mo for third-party CTI connectors
20 to 40%
Over base license on premium features and integrations
$200 to $500
Per month for premium connector add-ons
Industry research, not QEval® results
QEval®

Connect, and that's it

The connection layer is part of the platform, not a line item bolted on at signature.

  • Five exchange methods, all included
  • 80+ pre-built connectors, none metered
  • No connector locked behind a higher plan
  • Data flows in and scores flow back out, both directions
The data exchange

Watch your data move, both directions.

We ingest far more than call audio. Pick a cadence, and the pipes carrying your data light up: where every kind of conversation enters, what QEval® does in the middle, and where the scores land.

Ingest

Everything we capture
Voice calls and recordings
Chat and messaging
Email
SMS and text
Social and reviews
Tickets and cases
CRM records
Surveys and VoC
Agent notes
Conversation metadata
AI agent transcripts

QEval®

One stream of intelligence
QE
Multi-expert engine
Redaction at ingest (NER)
Transcribe and translate, 35+ languages
Mixture-of-Experts scoring
Six Layers of Intelligence

Deliver

To the endpoint of your choice
CRM and case notes
Data lake (S3, Azure, GCS)
Warehouse (Snowflake, BigQuery)
BI and dashboards
WFM and scheduling
Databases (MongoDB, MariaDB)
Alerting and webhooks
The pipes carrying your data
REST API Real-time Webhook Real-time SFTP Batch Amazon S3 Batch Azure Blob Batch
Five ways to connect

Every method in. Every score out. All included.

Two for the work that happens in the moment, three for everything that moves in volume. Every method runs both directions, and none of them carries a separate fee.

Real-time
REST API
Real-time

Push conversations or pull scores and intelligence on demand, programmatically. Wire QEval® into a workflow, a microservice, or a nightly job using the kind of endpoints your developers already expect.

DirectionIn and out
CadenceOn demand
SecurityToken / OAuth2, TLS
Webhook
Real-time

The moment a conversation is scored, QEval® posts the result to an endpoint you control. No polling, no waiting. Route a failed compliance check straight into your alerting within seconds of the call ending.

DirectionOut, event-driven
CadenceOn event
SecurityHMAC-signed, TLS
Batch / Bulk
SFTP
Batch

Drop audio or transcripts on a schedule; pick up scored results on a cron. The exchange method that fits the systems that have run your floor for years, with no new infrastructure to stand up.

DirectionIn and out
CadenceScheduled
SecuritySSH key, encrypted
Amazon S3
Batch

QEval® reads from and writes to an S3 bucket, yours or ours. The natural fit when your conversations and analytics already live in a data lake or warehouse and you want the scored output to land right beside them.

DirectionIn and out
CadenceBatch / bulk
SecurityIAM-scoped, SSE
Azure Blob Storage
Batch

The same container-drop pattern for estates standardized on Azure. Conversations in, scored objects out, governed by your tenant's own identity and access rules.

DirectionIn and out
CadenceBatch / bulk
SecuritySAS / managed identity
Mix and match

Most enterprises run more than one: real-time for alerting and assist, batch for the historical load. QEval® keeps one scorecard, one brand voice, and one set of compliance rules across every pipe you connect.

MCP
Coming soon

The Model Context Protocol

The emerging open standard for connecting AI systems to tools and data. QEval® is building a native MCP interface so any MCP-aware agent, copilot, or orchestration layer can request a score, pull intelligence, or stream a conversation in, over one open protocol instead of a bespoke integration. Included like every other method, with no fee to connect.

Going live

Three steps to a live connection.

No professional-services quote to read first. Connection is part of the 30-day deployment, not a separate project.

STEP 01

Pick your method

Choose the pipe that fits each system: API or Webhook for real-time, SFTP, S3, or Azure Blob for batch. Most enterprises pick a couple. We help you map method to system.

STEP 02

We map and secure the pipe

We wire the connection, apply redaction at ingest, and confirm encryption and access scoping against your security team's rules. Pre-built connectors drop in; custom pipes are scoped in onboarding.

STEP 03

Scores flow back

Conversations stream in, QEval® scores them, and the results land in the systems your team already uses. Live within the 30-day window, with no connector invoice attached.

Which fits

Real-time or batch? Usually both.

They are not a choice between fast and slow. They are two jobs. Here is how to tell which pipe a given workflow wants.

Real-time API + Webhook

Lowest latency, event-driven, per interaction

Best when scores need to live in the flow of work: a compliance alert the second a call ends, a case note written back into the CRM, second-by-second assist on the desktop. Lower volume per event, fastest to act on.

Batch / Bulk SFTP + S3 + Azure

Higher throughput, scheduled, warehouse-native

Best for high volume, scheduled loads, historical backfills, and estates with strict data-residency or established file workflows. Simpler to operate at scale, and it lands scored data right where your analytics already live.

Governed by design

Every pipe, secured the same way.

The exchange method changes; the data governance does not. The same controls apply whether data moves over an API call or a nightly file drop.

Redaction before the model

PII is removed at ingest through Named Entity Recognition, before any language model processes the conversation. Redaction is not a setting you remember to switch on; it happens first.

Encrypted in transit and at rest

Every method carries data over encrypted transport and stores it encrypted at rest. Access is scoped to your keys, your tokens, and your tenant's identity rules.

Your data never trains a third party

QEval® scores on a proprietary, closed-source Mixture-of-Experts architecture. Your conversations never enter a third-party foundation model's training loop.

SOC 2 Type II PCI DSS HIPAA GDPR ISO 27001 ISO 42001
Security and Trust Compliance and Redaction
The ecosystem

80+ connectors. None of them gated.

On top of the five methods, QEval® ships pre-integrations across the contact center stack. Search for your system or filter by category. Every one is available on every plan.

Genesys Cloud NICE CXone Five9 Talkdesk Amazon Connect Avaya Cisco Webex CC 8x8 RingCentral Vonage Dialpad Zoom Contact Center Twilio Flex UJET Content Guru Sprinklr Service Nextiva Aircall Bright Pattern Grupo NGN Sierra Decagon Salesforce Agentforce Ada Forethought Cognigy Kore.ai PolyAI Parloa Yellow.ai Cresta Amazon Lex Google Dialogflow NICE Enlighten Five9 GenAI Genesys Cloud AI ServiceNow Now Assist Floatbot Salesforce HubSpot Zoho Zendesk Freshdesk Microsoft Dynamics 365 ServiceNow Salesmate Pipedrive Intercom Kustomer Gladly Front Adobe Experience CallMiner NICE Nexidia Uniphore Convin Voci Deepgram AssemblyAI AWS Transcribe Google Speech-to-Text Speechmatics Sanas Gong Medallia Qualtrics InMoment GetFeedback SurveyMonkey Forsta Verint Calabrio NICE WFM Alvaria injixo Assembled Playvox Symtrain Axonify ProProfs Notion ProcedureFlow LiveAgent Lessonly Guru Confluence Centrical Snowflake Databricks Google BigQuery Amazon Redshift Azure Synapse Tableau Power BI Looker DOMO MongoDB MariaDB Amazon S3
No match in the pre-built list. The five exchange methods plus the Universal Connector still cover it.

A selection of pre-built connectors, growing continually. Product names are the trademarks of their respective owners, shown to indicate compatibility.

Do not see your system?

The 80+ pre-integrations cover the common stack. The five exchange methods plus the Universal Connector cover the rest. If a system can post to an endpoint, expose an API, or write a file, QEval® can exchange data with it. We scope new pipes during onboarding, not as a special project, and not as a separate charge.

Scoring AI agents too? QEval® grades platforms like Sierra, Decagon, Agentforce, and in-house GenAI on the same scorecard as your people.

See AI Agent QA.

Every pipe feeds the layers

Integrations are not the destination; they are how the value gets unlocked. The more of each conversation QEval® can ingest, the more of the intelligence beyond Layer 1 it can reach.

L1 Quality L2 Customer L3 Revenue L4 Operational L5 Training L6 Strategic

See the Six Layers of Intelligence.

A software company ships a connector list and a price sheet. An operator builds the connection because the floor depends on it.

QEval® was built inside a live contact center, not a software lab. It had to ingest from every recorder, CCaaS, and CRM on a real floor, and deliver scores back into the systems supervisors actually use. There was no one to bill for the connection, so connection was never a product to sell. That is why the exchange layer is method-agnostic and included, instead of a curated list with an upgrade path.

4,000+ Agents on the floor it was built for
80+ Pre-integrations in production
30 days From contract to live
Questions buyers ask

The integration questions.

Do integrations cost extra?

No. Every exchange method and every pre-built connector is included in the platform. There are no per-connector fees and no separate integration license. Based on industry research, connectors are commonly billed per agent per month in this category. QEval® takes the opposite approach — included, no meter running.

Are any connectors locked behind a higher tier?

No gating. Every connection method is available on every plan. You never have to upgrade to a premium tier to reach Salesforce, a data warehouse, an AI agent platform, or any other system.

Which method should we use?

If you need scores in the moment, use API and Webhook. If you move conversations in scheduled volume, use SFTP, Amazon S3, or Azure Blob. Most enterprises run a mix: real-time for alerting and assist, batch for the bulk load. We help you map methods to systems during onboarding.

What do you ingest besides call audio?

Far more than audio. QEval® ingests voice, chat, email, SMS, social, tickets, CRM records, surveys, agent notes, conversation metadata, and AI agent transcripts, then turns those disparate sources into one scored stream of intelligence.

Where does redaction happen relative to data leaving our environment?

PII is redacted at ingest through Named Entity Recognition, before any language model processing. Encryption applies in transit and at rest on every method, and your data never enters a third-party foundation model's training loop. See Compliance and Redaction.

What if our system is not on your pre-integration list?

The 80+ pre-integrations cover the common stack, and the five exchange methods plus the Universal Connector cover the rest. If a system can post to an endpoint, expose an API, or write a file, QEval® can exchange data with it, and configuring it is part of the 30-day deployment.

Connect QEval®

Connect every system you run. No fees, no gates.

Tell us what is in your stack and how your data moves. We will map the methods, wire the pipes, and score a real conversation inside the 30-day window.

Contractual commitments

Four numbers no peer publishes.

94%+
Accuracy SLA
Written into the master agreement
30 days
Deployment
Money-back guarantee
60 days
Exit clause
Cancel with notice, no penalty
120 days
ROI window
Documented customer-average outcome