Extend Annotation from Tasks to Strategy
Flexibench is bolstered by internal tools that extend its reach: DataBench for workflow orchestration (with advanced modules like Phonex) and FlexiPod for outcome-driven execution.
Extend Annotation from Tasks to Strategy
Flexibench is bolstered by internal tools that extend its reach: DataBench for workflow orchestration (with advanced modules like Phonex) and FlexiPod for outcome-driven execution.
DataBench
A central workspace for building, refining, and governing enterprise datasets
Workflow Orchestration
Unified dataset repository & pipeline builder
DataBench is where annotation becomes science and strategy, not just tasks. It brings together collection, labeling, review, experiment integration, and dataset iteration into a single workspace.
Why It Matters
Today's AI systems require structured datasets with governance, repeatability, and metric visibility. DataBench empowers teams to design workflows, enforce standards, measure progress, and iterate with auditable quality checkpoints.
Core Capabilities
- Unified Dataset Repository: Single source of truth for all annotation work
- Workflow Builder: Configurable pipelines from raw input to production-ready dataset
- Labelset & Schema Manager: Reuse ontologies across domains and projects
- Review Dashboards: Monitor consensus scores, disagreement hotspots, and tooltip metrics
- Experiment Integration: Export labeled datasets with tags and metadata to training pipelines
Voice Annotation Engine
Phonex
The voice annotation product designed for speech-first AI
Phonex is DataBench's specialized annotation engine for all things audio and speech. It goes far beyond transcription. Phonex handles linguistically rich labeling tasks, speaker diarization, intent tagging, acoustic event annotation, prosody cues, and environment signals.
Cross-Functional Teams
FlexiPod
Cross-functional talent pods that take full ownership from strategy to execution
FlexiPod is not a gig crowd. It is a high-agency, engineered execution layer consisting of annotation engineers, domain specialists, data scientists, and product operators. Pods are assembled for outcomes, not punch-list tasks.
Voice Annotation Engine (Inside DataBench)
Phonex is DataBench's specialized annotation engine for all things audio and speech. It goes far beyond transcription. Phonex handles linguistically rich labeling tasks, speaker diarization, intent tagging, acoustic event annotation, prosody cues, and environment signals.
Why It Matters
Voice data is complex: noisy environments, accents, switching contexts, overlap speech, and domain jargon. Phonex embeds audio-centric tooling directly into DataBench pipelines so voice datasets are not just labeled, but structured for model understanding.
Phonex Capabilities
- Speaker diarization and turn separation
- Multilingual transcription with confidence scores
- Acoustic event and environmental tagging
- Prosody & emotion markers
- Background noise profiling
Outcome:
Cleaner audio training data, fewer iteration cycles to achieve stable ASR and voice understanding models, and datasets that support voice-first AI with real robustness.
Cross-functional talent pods that take full ownership
FlexiPod is not a gig crowd. It is a high-agency, engineered execution layer consisting of annotation engineers, domain specialists, data scientists, and product operators. Pods are assembled for outcomes, not punch-list tasks.
Why It Matters
Too often annotation teams get stuck in process overhead, task batching, and quality rework. FlexiPod flips the model: you get a team that owns the problem, not just the tasks.
Pod Outcomes Include
- Faster dataset delivery with agreed benchmarks
- Measurable quality lift across annotation milestones
- Embedded best practices and QA templates
- Seamless handoff into training and evaluation pipelines