Natural-language people search
Search across 700M+ professional profiles using role, skills, company, intent signals, and hiring context to find candidates or prospects without relying on simple keyword matching.
Redrob AI란 무엇인가요?
Redrob AI is an AI and LLM platform positioned for hiring, sales, jobs, research, and workflow automation. The site describes it as India’s AI platform for the next billion professionals and says it is built on 700M+ profiles, 30+ languages, and real data.
The product combines search, chat, and task execution across multiple workflows. On the home page, it surfaces people search, company search, job search, resume ranking, document and email assistance, calendar support, skill tests, and model options that are priced by token usage.
Redrob AI(으)로 무엇을 할 수 있나요?
Company intelligence
Review companies by hiring trends, team structure, tech stack, and growth signals to identify decision-makers and prioritize outreach or recruiting.
Workspace-connected assistants
Connect Google Drive, Gmail, and Calendar so the platform can search documents, summarize threads, manage messages, and schedule meetings in workflow.
Resume ranking
Rank resumes against a role using skill match, experience depth, and role relevance so teams can narrow large applicant pools faster.
Skills assessment
Run role-specific skill tests across coding, aptitude, and professional skills, with instant scoring and candidate comparison.
Model choices by workload
Use token-priced models tuned for different workloads, from high-speed routing and extraction to long-document research and advanced reasoning.
사용 사례
“Hiring and candidate sourcing”
Recruiters can search 700M+ profiles, inspect role fit, and use verified contact details to move from sourcing to outreach in one flow.
“B2B prospecting and lead generation”
Sales and GTM teams can identify prospects, enrich records from the platform’s data sources, and use verified contacts to prioritize outbound work.
“Job discovery and applications”
Job seekers can search active listings, compare opportunities by role and location, and use platform context to find better-fit openings.
“Day-to-day workflow support”
Teams can connect Drive, Gmail, and Calendar to search documents, summarize email threads, and schedule meetings without switching tools.
“Model selection by task”
Operators can choose a lower-cost, faster model for extraction and routing or a larger model for research and multi-step reasoning.
자주 묻는 질문
How does Redrob AI pricing work?
Redrob AI appears to support a usage-based pricing model on its pricing page, with different models priced per 1M tokens. The page also presents a 'Start free' entry point, but it does not spell out fixed plan limits in the text provided.
Which model should I choose for my use case?
Choose based on workload: Redrob 2B is positioned for high-speed tasks such as routing, tagging, extraction, and real-time workflows; Llama-Redrob 8B for chat, summaries, content generation, and everyday AI tasks; Llama-Redrob 70B for advanced reasoning, code generation, and multi-step workflows; and Llama-Redrob 405B for research and long-document work.
Can I switch between models anytime?
The site states that you can switch between models anytime, which suggests the platform is designed to let teams move workloads as needs change.
Is there any minimum commitment or fixed plan?
Yes. The platform includes a usage-oriented pricing page and a free starting path, but the provided copy does not mention a required minimum commitment or fixed-term plan.
How can I track my usage?
The pricing page says users can track usage, but it does not provide the exact interface or reporting format in the source text.
주요 정보
- Category
- AI platform / LLMs
- Primary users
- Hiring teams, sales teams, students, job seekers, founders, developers, analysts
- Core workflows
- People search, company search, job search, resume ranking, outbound lead generation, document and email assistance
- Pricing model
- Usage-based, per 1M tokens
- Source domain
- redrob.io
- Platform notes
- Includes web product pages for HR, GTM, and API use cases
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