Deepgram Pre-Sales Solution StudioFrom First Question to Technical Win Learning Lab

Public-story-inspired patterns · Unpublished requirements, architecture, dialogue, and calculations are simulated · Technical and commercial validation required · Do not enter real customer secrets or personal data

Interactive workshopPublic patternsDeterministic recommendations

Turn customer requirements into a measurable technical win.

Choose a public customer pattern, change the constraints, and build a discovery plan, Deepgram architecture, proof of concept, and executive recommendation in real time.

What this demonstrates

01Technical discovery

02Solution architecture

03Evaluation design

04API prototyping

05Business-value translation

06Objection handling

07Production handoff

Public customer pattern library

Start with context—not a preselected answer.

Only the linked public story is treated as public fact. Starting requirements, buyers, architecture, dialogue, success gates, and financial inputs are illustrative workshop material.

Contact Center / AI ReceptionistPublic + illustrative

Abby Connect Pattern

Call center and virtual receptionist services

Deepgram's public story describes a real-time AI receptionist, post-call QA workflows, higher QA throughput, and lower audit time.

Business outcome: Scale responsive reception and increase QA coverage without losing high-touch service.
Technical buyer: VP Engineering or Voice Platform Lead
Executive buyer: COO or Head of Customer Experience
Constraint: Noisy phone audio and vertical-specific terminology across live and prerecorded workflows.

Public source

Voice-Agent PlatformPublic + illustrative

SigmaMind AI Pattern

Multi-tenant voice-agent platform

Deepgram's public story describes large-scale voice-agent traffic, composable orchestration, streaming transcription, and latency-sensitive production operation.

Business outcome: Deliver configurable voice agents with responsive turn-taking at production concurrency.
Technical buyer: CTO or Voice Infrastructure Lead
Executive buyer: CEO or VP Product
Constraint: Consistent interim results, interruption handling, and latency under concurrent load.

Public source

Enterprise CCaaSPublic + illustrative

Five9 Pattern

Cloud contact center

Deepgram's public case study focuses on real-time transcription in Five9 IVA Studio and higher accuracy for numeric and alphanumeric self-service inputs.

Business outcome: Increase self-service completion by recognizing business-critical identifiers reliably.
Technical buyer: IVA Platform Architect
Executive buyer: VP Contact Center Product
Constraint: Account numbers, policy numbers, SKUs, addresses, tracking numbers, and VINs must be evaluated independently of aggregate WER.

Public source

Sovereign and Regulated AIPublic + illustrative

Prem AI Pattern

Private and sovereign AI infrastructure

Deepgram's public story describes self-hosted Nova-3 in sovereign infrastructure, including private deployment, diarization, redaction, and language detection.

Business outcome: Add multilingual voice inside customer-controlled infrastructure without crossing the required data boundary.
Technical buyer: Security Platform Architect
Executive buyer: Chief Information Security Officer
Constraint: On-premises, VPC, or air-gapped operation with customer-held keys, residency requirements, and Kubernetes operations.

Public source

Healthcare Voice AgentsPublic + illustrative

Vida Pattern

Healthcare AI agents

Deepgram's public story describes high-volume healthcare agents using Aura-2 and multilingual STT for natural, low-latency voice workflows.

Business outcome: Increase completion of healthcare service workflows with trustworthy, responsive spoken experiences.
Technical buyer: Voice Agent Platform Lead
Executive buyer: VP Healthcare Operations
Constraint: Natural TTS, sensitive entity handling, PHI boundaries, and predictable behavior at healthcare call volume.

Public source

Financial Services and CollectionsPublic + illustrative

Creditas Pattern

Regulated debt collections

Deepgram's public story describes real-time and batch transcription, automated auditing, regional language handling, and in-region self-hosting.

Business outcome: Audit every interaction and improve collections outcomes across regional language diversity.
Technical buyer: Collections Automation Architect
Executive buyer: Chief Operating Officer
Constraint: Hindi-English code-mix, regulated call auditing, payment intent, high volume, and Indian data residency.

Public source

Mission-Critical CommunicationsPublic + illustrative

NASA Pattern

Aerospace and mission operations

Deepgram's public case study describes tailored speech recognition for noisy space-to-ground and training audio plus historical audio search.

Business outcome: Make specialized, degraded communications searchable and useful while retaining human verification.
Technical buyer: Mission Systems or Data Engineering Lead
Executive buyer: Program Director
Constraint: Noisy degraded audio, specialized mission terms, archival search, and decisions that still require human confirmation.

Public source

Deepgram Pre-Sales Solution Studio

Preparing the workshop…

Deepgram Pre-Sales Solution StudioFrom First Question to Technical Win Learning Lab

Interactive workshopPublic patternsDeterministic recommendations

Turn customer requirements into a measurable technical win.

Choose a public customer pattern, change the constraints, and build a discovery plan, Deepgram architecture, proof of concept, and executive recommendation in real time.

What this demonstrates

01Technical discovery

02Solution architecture

03Evaluation design

04API prototyping

05Business-value translation

06Objection handling

07Production handoff

Public customer pattern library

Start with context—not a preselected answer.

Only the linked public story is treated as public fact. Starting requirements, buyers, architecture, dialogue, success gates, and financial inputs are illustrative workshop material.

Contact Center / AI ReceptionistPublic + illustrative

Abby Connect Pattern

Call center and virtual receptionist services

Deepgram's public story describes a real-time AI receptionist, post-call QA workflows, higher QA throughput, and lower audit time.

Business outcome: Scale responsive reception and increase QA coverage without losing high-touch service.
Technical buyer: VP Engineering or Voice Platform Lead
Executive buyer: COO or Head of Customer Experience
Constraint: Noisy phone audio and vertical-specific terminology across live and prerecorded workflows.

Public source

Voice-Agent PlatformPublic + illustrative

SigmaMind AI Pattern

Multi-tenant voice-agent platform

Deepgram's public story describes large-scale voice-agent traffic, composable orchestration, streaming transcription, and latency-sensitive production operation.

Business outcome: Deliver configurable voice agents with responsive turn-taking at production concurrency.
Technical buyer: CTO or Voice Infrastructure Lead
Executive buyer: CEO or VP Product
Constraint: Consistent interim results, interruption handling, and latency under concurrent load.

Public source

Enterprise CCaaSPublic + illustrative

Five9 Pattern

Cloud contact center

Deepgram's public case study focuses on real-time transcription in Five9 IVA Studio and higher accuracy for numeric and alphanumeric self-service inputs.

Business outcome: Increase self-service completion by recognizing business-critical identifiers reliably.
Technical buyer: IVA Platform Architect
Executive buyer: VP Contact Center Product
Constraint: Account numbers, policy numbers, SKUs, addresses, tracking numbers, and VINs must be evaluated independently of aggregate WER.

Public source

Sovereign and Regulated AIPublic + illustrative

Prem AI Pattern

Private and sovereign AI infrastructure

Deepgram's public story describes self-hosted Nova-3 in sovereign infrastructure, including private deployment, diarization, redaction, and language detection.

Business outcome: Add multilingual voice inside customer-controlled infrastructure without crossing the required data boundary.
Technical buyer: Security Platform Architect
Executive buyer: Chief Information Security Officer
Constraint: On-premises, VPC, or air-gapped operation with customer-held keys, residency requirements, and Kubernetes operations.

Public source

Healthcare Voice AgentsPublic + illustrative

Vida Pattern

Healthcare AI agents

Deepgram's public story describes high-volume healthcare agents using Aura-2 and multilingual STT for natural, low-latency voice workflows.

Business outcome: Increase completion of healthcare service workflows with trustworthy, responsive spoken experiences.
Technical buyer: Voice Agent Platform Lead
Executive buyer: VP Healthcare Operations
Constraint: Natural TTS, sensitive entity handling, PHI boundaries, and predictable behavior at healthcare call volume.

Public source

Financial Services and CollectionsPublic + illustrative

Creditas Pattern

Regulated debt collections

Deepgram's public story describes real-time and batch transcription, automated auditing, regional language handling, and in-region self-hosting.

Business outcome: Audit every interaction and improve collections outcomes across regional language diversity.
Technical buyer: Collections Automation Architect
Executive buyer: Chief Operating Officer
Constraint: Hindi-English code-mix, regulated call auditing, payment intent, high volume, and Indian data residency.

Public source

Mission-Critical CommunicationsPublic + illustrative

NASA Pattern

Aerospace and mission operations

Deepgram's public case study describes tailored speech recognition for noisy space-to-ground and training audio plus historical audio search.

Business outcome: Make specialized, degraded communications searchable and useful while retaining human verification.
Technical buyer: Mission Systems or Data Engineering Lead
Executive buyer: Program Director
Constraint: Noisy degraded audio, specialized mission terms, archival search, and decisions that still require human confirmation.

Public source

Pre-Sales Solution Studio

Pre-Sales Solution Studio

Repository boundary

Pre-Sales Solution Studio added

Turn customer requirements into a measurable technical win.

Start with context—not a preselected answer.

Abby Connect Pattern

SigmaMind AI Pattern

Five9 Pattern

Prem AI Pattern

Vida Pattern

Creditas Pattern

NASA Pattern

What would you like to accomplish?

Pre-Sales Solution Studio

Pre-Sales Solution Studio

Repository boundary

Pre-Sales Solution Studio added

Turn customer requirements into a measurable technical win.

Start with context—not a preselected answer.

Abby Connect Pattern

SigmaMind AI Pattern

Five9 Pattern

Prem AI Pattern

Vida Pattern

Creditas Pattern

NASA Pattern