Tazker provides a human‑in‑the‑loop platform that combines AI‑assisted workflows with on‑demand, vetted taskers to deliver fast, high‑accuracy data annotation and other data‑ops tasks. Clients can start projects instantly with a pay‑as‑you‑go credit model, receive real‑time monitoring, and reduce annotation costs by over 80% without long‑term contracts.
Funding
Funding not disclosed
Founders
Product
Problem
AI and data companies often face high costs and slow turnaround when scaling data annotation and operational tasks, due to limited in‑house resources and the need for manual quality control.
Solution
Tazker offers a human‑in‑the‑loop platform that pairs trained taskers with AI‑driven workflows to boost annotation accuracy and processing speed. Clients can initiate projects instantly through a pay‑as‑you‑go model without long‑term contracts. The service includes a free consultation to map the required processes, after which taskers are allocated on demand via a credit system. Ongoing monitoring and feedback loops ensure work meets quality expectations while reducing data‑ops expenses by more than 80%.
Target Audience
Primary customers are AI startups, machine‑learning platforms, and data‑intensive enterprises that need scalable, high‑quality annotation and data‑ops support.
Features
- On‑demand allocation of vetted taskers to execute data annotation, lead enrichment, and other operational tasks
- Integrated AI assistance that pre‑processes data and guides taskers, improving accuracy and throughput
- Credit‑based pricing starting at $2 per hour, eliminating upfront commitments
- Real‑time project monitoring dashboard for status updates and feedback collection
- Flexible workflow customization through a free initial consultation to align with specific business processes