Proprietary portals, pipelines, and dashboards that power every Deaimer engagement — and can be extended, white-labeled, or custom-built to fit your operations.
Our platform wasn't built to sell software — it was built because our own operation needed it. Every feature ships because an annotator, project lead, or client asked for it. The result is opinionated, practical, deeply battle-tested tooling.
For most clients, using Deaimer means getting full platform access on every engagement. For some, we build dedicated tooling — white-labeled portals, custom pipeline integrations, or entire platforms for internal teams.
Annotator workbenches, QA review interfaces, and client dashboards — all customizable.
Our annotator workbench handles bounding boxes, segmentation, transcription, preference ranking, and custom task types. Our client dashboard gives you live visibility across every active workflow. Our QA interface catches regressions before they compound.
Task UIs for every modality. Keyboard-first. Customizable for your project schemas.
Live project status, quality metrics, SLA tracking, and invoice access.
Sampling, disagreement resolution, gold-set management, and rater performance.
Staffing, scheduling, throughput management, and cross-project resourcing.
Task routing, sampling logic, and QA gates configured per project — not baked into rigid pipelines.
Every workflow is declarative. You (or your PM) defines tasks, routing rules, QA gates, and SLAs in a config — and the platform enforces it. When something misbehaves, dashboards tell you immediately.
Define task types, routing, QA gates, and SLAs in a single source of truth.
Skill-based routing with load balancing and quality-weighted distribution.
Gold-set injection and stratified sampling baked into task distribution.
Push events on task completion, SLA breaches, or QA failures to your systems.
Ingestion, transformation, and delivery — built for AI-scale data flow.
We build the data plumbing that moves raw inputs to labeled outputs to your training cluster — with versioning, reproducibility, and verifiability at every hop.
S3, GCS, Azure, SFTP, HTTP streaming — whatever your source system speaks.
Format conversion, schema validation, and PII redaction before annotator exposure.
Every dataset versioned. Every version signed. Every change logged.
Push completed labels straight into your training pipeline via API or bucket hand-off.
Throughput, agreement, SLA, and cost data — queryable, exportable, alertable.
Every click, task, review, and payment is logged. Query it with SQL. Alert on it with webhooks. Export it to your BI stack. Nothing is hidden in a vendor black box.
Real-time throughput, agreement rates, SLA adherence across workflows.
Full read access to your workflow data via Snowflake or BigQuery shares.
Webhook-driven alerts on quality drops, SLA breaches, or unusual patterns.
Per-project, per-task, per-annotator cost data for finance and forecasting.
No bleeding-edge novelty for its own sake. Every platform component is battle-tested, observable, and something your security team will recognize.
For teams with unique needs, we build custom software: white-labeled workbenches, internal labeling tools, eval platforms, or entire data operations.
Our platform, your branding. Deploy to your cloud, your domain, your SSO.
Custom annotation workbenches for your specific domain or task type.
Full eval harnesses with rater management, analysis, and reporting.
Custom connectors between your training stack and our production system.
Full internal operations platforms for in-house data teams at scale.
Custom audit trail, consent management, and privacy infrastructure builds.
Yes. Every engagement includes full platform access for your team — dashboards, APIs, reporting, SSO. No paywalled add-ons.
For enterprise deployments — yes. We support on-premises and VPC deployments with the same feature set as our hosted platform.
Full REST API covering task ingestion, status callbacks, dataset delivery, and reporting. GraphQL also available for some endpoints.
99.9% uptime on our hosted platform, backed financially. Incident reports and root-cause analysis published within 48 hours.
Yes. Common integrations include Labelbox, Scale Rapid, W&B, MLflow, Airflow, Snowflake, and Databricks. We build custom connectors when needed.
Depends on engagement. Project-specific custom work is yours outright. Core platform improvements remain ours — but you get perpetual access.
Tell us what you're training, aligning, or evaluating. We'll map a delivery plan, staffing model, and timeline within one working week.