[ Voice AI Model & Voice Customization ]
Make the agent understand your domain and sound like your brand.
Domain-specific language, brand tone, custom voices, pronunciation tuning, and evaluation-driven improvement — so the agent fits your business, not a generic template.
[ What customization covers ]
STT, LLM, TTS — and a brand voice that's yours.
Customization spans every model in the stack: fine-tuning speech-to-text for your accents and vocabulary, adapting the LLM to your domain and policies, and shaping the text-to-speech voice — including custom voice design and consented voice cloning.
- STT
- Tuned for your accents, names, and domain vocabulary.
- LLM
- Adapted to your domain, policies, and answer style.
- TTS
- A custom voice, with consent and clear usage rules.
[ What gets customized ]
Every layer of the agent is tunable.
| Layer | What it means |
|---|---|
| LLM behavior | Reasoning, answer style, tone, policy handling, escalation, and safe responses. |
| STT | Accents, noisy calls, industry terms, names, locations, and domain vocabulary. |
| TTS | Voice, pronunciation, speed, warmth, clarity, and consistency. |
| Conversation style | Formal, friendly, premium, concise, empathetic, or brand-specific. |
| Knowledge | FAQs, policies, service rules, legal terms, hospitality terms, product data. |
| Safety | Refusal logic, escalation rules, sensitive-topic handling, and compliance guardrails. |
[ Voice cloning and brand voice ]
A distinct voice, with control.
Custom voice does not mean copying a voice without control. We design voice experiences with consent, brand safety, and clear usage rules.
- Custom TTS voice design
- Approved brand voice
- Pronunciation dictionary
- Tone and pacing
- Multilingual voice consistency
- Voice cloning with permission
- Guardrails for sensitive use
[ Fine-tuning vs configuration ]
Use the lightest approach that works.
| Approach | When it is enough |
|---|---|
| Prompt and workflow configuration | Most business voice agents. |
| Retrieval / knowledge grounding | When answers depend on policies, documents, or business data. |
| Evaluation-based iteration | When quality needs systematic improvement. |
| Fine-tuning | When repeated domain-specific behavior cannot be solved through configuration. |
| Custom TTS/STT work | When voice quality, accents, or terminology are critical. |
[ Testing and evaluation ]
Quality you can measure.
- Sample call sets
- Accent testing
- Domain vocabulary testing
- Latency testing
- Escalation testing
- Hallucination checks
- Conversation scoring
- Voice consistency review
[ Use cases ]
Where customization changes the outcome.
Legal intake terminology
Statutes, case types, and intake language.
Hotel property names
Property names, room types, and rates.
Medical appointment intake
Clinical terms and scheduling rules.
High-volume support
Consistent tone across thousands of calls.
Multilingual support
Native-sounding voices across languages.
Premium brand voice
A distinct, on-brand voice experience.
[ How we work together ]
From scope to scale in weeks.
-
Week 1
Scope
Map the workflow, success criteria, and the calls most likely to break.
-
Weeks 2–5
Design & build
Conversation flows, the voice stack, and your CRM/PMS/system integrations.
-
~2 weeks
Pilot
Live on a limited set of real calls, scored for accuracy and latency.
-
Ongoing
Scale & improve
Full rollout, every call monitored, tuned from real transcripts.
[ Proven in production ]
Voice work we've shipped.
6 yrs
in complex B2B software
20+
experts across AI, product, design, and engineering
4.9/5
average client satisfaction
5+
industries: SaaS, hospitality, LegalTech, MarTech, support
"What truly stood out was Softcery's deep AI expertise. They were able to take our vision and turn it into a reality, and the final product has exceeded our expectations. Working with Softcery has been a game-changer for our business."
Jeanette Kreft
Managing Director, The Compliance Company & Upskill AI
"Softcery is not your typical software development agency – they're a full-scale product consultancy. The benefit of working with them is the collaboration."
Ryan Tabb
Founder, Bullseye