Research at Swifly
Building the voice layer for modern work. We explore voice, context, language models, and professional workflows to turn spoken thoughts into clear, accurate, professional writing.
Our research pillars
We explore every layer of voice and language to turn real conversations into clear, accurate, and professional writing that gets the job done.
Voice accuracy
Making natural speech more reliable.
Context intelligence
Understanding where and why you write.
Personal language
Adapting to your words and tone.
Multilingual transformation
Preserving meaning across languages.
Structured output
Turning speech into ready-to-use text.
Invisible voice interface
Making voice feel effortless.
Patent-pending voice technology
Our proprietary systems combine advanced speech understanding, contextual rewriting, and workflow intelligence to deliver professional writing that feels like you—only clearer.
- Voice-driven text generation
- Contextual rewriting engine
- Multilingual transformation
- Workflow automation
The Swifly Benchmark Lab
We benchmark real-world speech-to-text workflows across accuracy, latency, long-form dictation stability, and professional output quality—so you get better transcriptions, every day.
- Word error rate (WER)
- Character error rate (CER)
- Endpoint latency
- Real-time factor (RTF)
- Named entity accuracy
- Long-form stability
- Diarization error rate
- Confidence calibration
Ongoing Research
What we're actively exploring across voice accuracy, context, and multilingual workflows.
Improving long dictation reliability
Reducing drop-offs and improving accuracy in extended voice sessions.
Making names and terms more accurate
Leveraging context, memory, and workflow signals to improve recognition.
Designing multilingual voice workflows
Building natural voice transformation across languages and teams.
