Great — I’ll give a compact, ready-to-use toolkit you can copy/paste or adapt for an AI-driven voice & video solutions offering for companies. It covers positioning, product features, use cases, tech/architecture notes, compliance/security, pricing models, KPIs, and short marketing/ sales assets.

1. One-line positioning / taglines

• “Human-first voice and video AI for smarter customer and team interactions.”
• “Embed studio‑grade voice and video intelligence into your products and operations.”
• “Real-time voice + video automation that improves CX, efficiency, and insights.”

2. Elevator pitch (30s) “We provide AI-driven voice and video solutions that let companies automate, analyze, and enhance spoken and visual interactions—real‑time transcription and translations, intelligent routing and summarization, speaker/scene understanding, and personalized synthetic voices/video overlays—so teams deliver better customer experiences, save time, and unlock actionable insights from every call and meeting.”

3. Core product modules (what to build/sell)

• Real-time Voice Platform
  • Low-latency transcription / punctuation
  • Speaker diarization and role recognition (agent vs customer)
  • Real-time sentiment & intent detection
  • Live coaching prompts & compliance nudges for agents
  • Call recording + searchable transcripts
• Video Intelligence Platform
  • Scene & action detection, face / expression detection (opt-in)
  • Visual context extraction (slides detection, screen-sharing OCR)
  • Meeting summarization & highlight clips
  • Automatic camera framing and background replacement
• Conversational AI & Automation
  • Multimodal assistants that understand voice + visual context
  • Automated IVR with natural TTS voices and NLU
  • Meeting assistants: agendas, notes, follow‑ups
• Synthetic Voice & Video
  • Brand voice cloning (consent-based) for IVR and marketing
  • Personalized video snippets (text-to-video overlays, captions)
• Analytics & Insights
  • QA dashboards, call/meeting trends, CSAT drivers
  • Searchable content library and exportable compliance logs
• Integrations & APIs
  • Connectors for CRMs (Salesforce, HubSpot), ticketing, contact centers, Calendar, Zoom/Teams, storage (S3), and BI tools.

4. Key use cases by industry

• Contact centers: Live agent assist, automated QA, compliance monitoring, sentiment-driven routing.
• Sales: Call scoring, coaching, automated follow-up emails, highlight reels for enablement.
• Healthcare: Telehealth visit summarization, structured documentation, consented recordings.
• Finance: Compliance-ready call archiving, real-time compliance nudges, identity verification assistance.
• HR & L&D: Interview analysis, training clip generation, meeting recap and action items.

5. Differentiators to emphasize

• Low-latency, production-grade real-time stack for live interactions.
• Multimodal understanding: voice + visual context (slides, shared screens).
• Enterprise security & compliance (configurable retention, redaction, audit trails).
• Customizable domain-adapted language models and proprietary voice cloning with explicit consent controls.
• Easy integrations and SDKs for mobile/web/UCaaS platforms.

6. High-level architecture (recommended)

• Edge client SDKs (Web, iOS, Android) capturing audio/video, sending encrypted frames/streams.
• Real-time ingestion layer (WebRTC / gRPC) → GPU-backed streaming inference cluster.
• Microservices for STT, NLU, ASR domain adaptation, VAD, diarization, vision models.
• Event bus + orchestration → transcript store, metadata DB (searchable), analytics pipeline.
• Export/API layer, web dashboard, webhooks to CRMs.
• Security: end-to-end encryption in transit, encrypted-at-rest, role-based access, audit logs.

7. Compliance & privacy (must-haves)

• Consent flows before recording or using voice/video for synthesis.
• Configurable data retention & deletion policies (per-customer).
• PII detection and redaction (audio and OCR for video).
• SOC 2 / ISO 27001 readiness, and support for HIPAA Business Associate Agreements where applicable.
• Clear policies for synthetic voice creation: opt-in verification, audible watermarking, prohibition on misuse.

8. Pricing models (pick one or combine)

• Per-minute usage (real-time streaming + transcription) with tiered rates for features (basic STT vs. diarization vs. NLU).
• Seat + usage: Base seat fee for access to dashboard + per-minute/GB usage.
• Enterprise subscription: committed spend + SLA, custom model tuning, on-prem or VPC deployment.
• Add‑ons: synthetic voice creation, long-term storage, custom model training, premium support.

9. Success metrics / KPIs to track

• Reduction in average handle time (AHT)
• % of calls with automated resolution or deflection
• CSAT/NPS impact attributable to AI interventions
• Time saved on manual note-taking / servicing
• Model accuracy (WER for STT), detection precision for intents and entities
• Retention/engagement of platform users (agents, sales reps)

10. Go-to-market motions

• Vertical pilots: start with 2–3 customers in a single industry (e.g., contact center or sales) to build case studies.
• Integrations: certified connectors for Salesforce and a major contact center platform to accelerate adoption.
• Outcomes-based pricing trials (e.g., pay-per-minute with a refund if AHT not reduced by X% in pilot).
• Co-marketed case studies and ROI calculators (AHT savings, FTE reallocation).

11. Sample short website copy (hero + bullets) Hero: “Turn every call and meeting into business value — Real-time voice & video AI for smarter conversations, faster decisions, and measurable ROI.” Bullets:

• “Real‑time transcription, sentiment, and intent so agents and teams act faster.”
• “Automated meeting summaries, searchable archives, and highlight reels.”
• “Enterprise-grade security, consented synthetic voice, and customizable models.”

12. Two short sales outreach snippets

Cold email subject: “Cut call handling time by 20% with AI-driven live coaching” Body: “Hi [Name], we help contact centers reduce average handle time and improve QA by deploying real‑time voice AI that transcribes, detects intent, and prompts agents with next-best actions. Would you be open to a 20‑minute pilot demo next week to see typical results for teams like yours?”

Demo request (post-demo follow-up) “Thanks for your time. Attached is a 14‑day pilot plan: integrate with one contact center queue, enable live coaching and automatic summaries, and measure AHT and CSAT. Typical pilot results: 15–30% reduction in AHT, 20–40 hours/week saved per 50 agents. Ready to start?”

13. Implementation checklist (first 90 days)

• Day 0–14: Discovery, data access, compliance review, consent flows.
• Day 15–30: SDK integration into a single channel, enable recording and basic STT.
• Day 31–60: Deploy NLU, diarization, live coaching rules, and dashboard.
• Day 61–90: Collect metrics, iterate models, enable advanced features (summaries, video analysis), scale rollout.

14. Potential technical risks & mitigations

• Latency: use optimized WebRTC path + local buffering and light edge inference for critical prompts.
• Accuracy drift: periodic re-training with labeled customer data and human-in-the-loop correction.
• Privacy/legal: robust consent UI, redaction, and contractual safeguards.

If you want, I can:

• Draft (A) detailed feature spec for one module (e.g., Live Agent Assist), (B) an investor pitch slide list, or (C) a 2‑week pilot integration plan with exact API/SDK endpoints and sample payloads. Which would help you next?