Conversations in. Operational intelligence out.
Databright Cloud Solutions turns the calls and chats you send it into structured, machine-readable intelligence — summary, sentiment, action items, entities, and compliance flags — through a single API, at a fraction of per-token pricing.
Caller: I was charged twice for last month and I’m pretty frustrated.
Agent: I’m sorry about that. Let me pull up your account and fix it right now.
Caller: Okay… I just want the duplicate refunded.
Agent: Done — refund’s processing, you’ll see it in 3–5 days.
You record every conversation. You read almost none of them.
Manual review reaches only a small sample of total conversations, leaving most interactions unexamined. The rest sit in storage as unsearchable audio and raw logs. The coaching moments, the compliance risks, the reasons customers churn: all there, all invisible. Running every conversation through a general-purpose summarization API would surface it, but the per-token bill at that scale makes that a non-starter. So the sampling stays, and the blind spots stay with it.
Structured output, not a wall of text.
Send audio or a chat transcript. Get back consistent, machine-readable fields you can route, search, score, and act on.
Call & chat recaps
A tight summary of what happened, why the customer reached out, and how it ended — in a format that reads the same across every processed conversation.
Sentiment & emotional arc
Not just a score at the end — how the customer’s tone shifted across the conversation, so you can see where things turned.
Compliance flags
Required disclosures, script adherence, and risk phrases checked automatically on every conversation you route through the platform, not on a sample.
Action items & follow-ups
Commitments made on the call — refunds, callbacks, escalations — pulled out as discrete tasks ready to sync to your CRM.
Entity extraction
Products, account numbers, competitors, objections — the specifics your reporting needs, lifted from the conversation into fields.
Voice and chat, unified
One pipeline for phone calls and text conversations, with the same output schema — so your analytics don’t care which channel it came from.
Built for volume, priced for it too.
The reasons teams pick Databright Cloud Solutions over wiring up a general-purpose model themselves.
Cost that survives scale
The reason most summarization projects stall
Databright Cloud Solutions runs efficient, in-house open-weight models with batched inference and cache reuse — so you’re billed for throughput, not per token. At scale that’s the difference between a line item and a dealbreaker. The architecture targets a 60–80% reduction versus commercial per-token APIs; where you land depends on your traffic mix, conversation length, and how many fields you generate. We model it against your real volume before you sign anything.
Output quality you can measure
Evaluation in the pipeline, not a claim on a slide
Every output is scored by an automated quality-evaluation layer before it reaches you, and each field is tuned to its own job — a compliance flag is judged on different criteria than a recap. Scores are reported per field so you can see where the pipeline is confident and where it is not, set your own thresholds, and route low-scoring outputs to human review instead of trusting the whole stream equally.
Speed and scale, in production
Not a demo that falls over
Databright Cloud Solutions is built to keep up with full production traffic without a queue backing up, and long conversations are handled with a two-pass approach so nothing gets truncated. The design point is new volume summarized in minutes, not overnight batches — and we load-test against your peak before cutover.
Your data stays yours
Deploy where your data already lives
On Enterprise, run Databright Cloud Solutions inside your own cloud (VPC) so conversations never leave your environment. Nothing is used to train third-party models, and access, retention, and redaction are yours to control.
One API to integrate
Live in days, not a quarter
Send audio or a transcript, get back structured JSON. Webhooks push results as they’re ready, and connectors drop them straight into your CRM, CDP, ticketing, or warehouse. No model ops for your team to run.
Four steps, fully automated.
From the moment a call ends or a chat closes, to structured insight in your systems.
Ingest
Stream conversations in real time or batch-upload recordings and chat logs. Voice and text, same intake.
Transcribe & separate
Accurate transcription with speaker diarization, so agent and customer are cleanly attributed before summarizing.
Summarize & check
Tuned prompts generate each structured field, and the quality layer scores every output before it’s released.
Deliver
Structured JSON pushed via webhook or API into your CRM, CDP, QA tools, dashboard, or warehouse.
A plan that fits your floor.
Pay for what you process — the more you summarize, the lower your rate. Tell us about your traffic and we’ll put together pricing that fits.
Starter
- Up to 100K minutes / month
- Voice + chat summarization
- Standard output schema
- Webhook & API delivery
- Email support
Growth
- Up to 1M minutes / month
- Custom output fields & prompts
- Compliance flagging & scoring
- CRM, CDP & warehouse connectors
- Priority support & SLA
Enterprise
- Unlimited volume
- Deploy in your own VPC
- SSO, audit logs, redaction
- Dedicated tuning & eval
- Named support engineer
One pipeline, many jobs.
The same structured output feeds quality assurance, coaching, compliance, revenue teams, and customer analytics.
QA at full coverage
Score every processed interaction against your rubric instead of hand-reviewing a thin sample. Catch the misses you never saw.
Agent coaching
Surface real moments — where sentiment dropped, where a script was missed — with the summary and timestamp attached.
Compliance monitoring
Flag missing disclosures and risk language across the calls you route through the platform rather than a sampled subset, with an audit trail for every flag.
Sales & deal intelligence
Pull objections, competitors, and next steps out of every sales call and drop them straight onto the opportunity.
CRM, CDP & ticket enrichment
Auto-fill dispositions, reasons, and follow-ups so agents stop typing wrap-up notes after every conversation.
Voice-of-customer reporting
Turn free-form conversations into countable themes and trends your analytics team can actually query.
The things buyers ask first.
Recorded and live phone calls, plus text conversations like web chat, SMS, and messaging. Both channels use the same output schema, so your downstream reporting treats them identically.
Every output passes through an automated quality-evaluation layer before delivery, and each field is tuned to its own criteria. For regulated workflows you can add human review on flagged interactions rather than reading everything.
On Enterprise, Databright Cloud Solutions deploys inside your own cloud environment so conversations never leave it. Nothing is used to train third-party models, and retention and redaction are under your control.
Yes. For engagements that involve protected health information, Databright Cloud Solutions executes a Business Associate Agreement before any PHI is processed. Configurable PII/PHI redaction, in-VPC deployment on Enterprise, access controls, and retention limits are designed to support HIPAA-compliant workflows — though final compliance always depends on the complete architecture, configuration, and operating procedures on both sides.
Databright Cloud Solutions is architected around efficient in-house models with batched inference and cache reuse, so billing follows throughput instead of per token. The savings depend on your traffic mix, conversation length, and output configuration.
Integration is designed to take days, not quarters. Send audio or a transcript to one endpoint and receive structured JSON back via webhook or API. Prebuilt connectors handle common CRM, CDP, ticketing, and warehouse destinations.
Yes. Beyond the standard summary, sentiment, action items, and compliance fields, Growth and Enterprise plans let you define custom fields and tune prompts to your team’s language and rubric.
See it run on your own conversations.
Send us a sample of your calls and chats. We’ll process them and show you the structured output — before you commit to anything.