Micro1
micro1 focuses on turning human expertise into fuel for advanced AI systems and recruitment workflows. It combines a human data engine for AI labs with an AI recruiter agent, Zara, that screens and interviews candidates at scale, plus research models such as Ava for proctoring and cheating detection. They target both sides of the AI pipeline: enterprises and BPOs use Zara to automate high‑volume hiring, while AI labs and robotics teams use micro1’s human data operations to generate expert‑labeled datasets, RL environments, and evaluation data for frontier models.
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Pricing
- Early Stage Plan (Zara AI Recruiter): Public listings place this tier around $89 per month for roughly 20 AI interviews and access to a talent pool.
- Growth Plan (Zara AI Recruiter): Frequently listed at about $399 per month, including around 100 AI interviews, custom questions, multi‑language support, branding, and ATS integrations.
- Talent Hiring: Engineering talent is often advertised around $38 per hour, converted into a fixed monthly cost, with a one‑week free trial per engineer in many offers.
- Custom and Data‑Engine Deals: Pricing for large‑scale AI‑lab data work and very high interview volumes is typically bespoke and negotiated with sales.
Features
- Human Data Engine for AI Labs: End‑to‑end operations for collecting, annotating, and QA’ing expert data across modalities like chain‑of‑thought reasoning, red‑teaming, SFT, coding, and audio.
- Zara AI Recruiter: Multi‑modal AI interviewer that sources, screens, and ranks candidates, producing structured reports with skill scores, transcripts, and proctoring scores.
- Ava Proctoring Model: Specialized proctoring system for AI interviews and exams that uses video, audio, screen activity, and behavior signals to flag likely cheating.
- Enterprise AI Agents: Custom AI agents and workflows for enterprises and BPOs, from automated screening and scheduling to payroll handoff and compliance support.
- ATS and HR Integrations: Connectors to major ATS platforms plus APIs, allowing recruitment teams to trigger interviews and view AI reports inside their existing tools.
- Human‑in‑the‑Loop QA: Multi‑layer review pipelines with domain experts and data leads that stress‑test datasets and monitor performance, error rates, and cost per task.
Use cases
- Frontier AI Labs: Using the human data engine for expert‑labeled datasets, red‑teaming, and chain‑of‑thought supervision.
- Enterprises with High‑Volume Hiring: Replacing manual screening calls with Zara for roles like engineers, sales, support, and operations.
- BPOs and Staffing Agencies: Automating thousands of monthly interviews while keeping humans focused on closing and client management.
- Robotics and Autonomy Teams: Collecting and annotating real‑world robotics data to improve perception and control models.
- Research and Assessment Providers: Applying Ava and Zara to proctor AI‑mediated exams, certifications, and multi‑modal assessments.
- Uncommon Use Cases: Used by universities to study AI‑mediated hiring and bias; adopted by data‑labeling collectives to qualify and train annotators quickly.