sengi

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About sengi

Sengi integrates with AI assistants such as Claude or ChatGPT to source and verify candidates for challenging positions. It accepts a role brief in any format, extracts key requirements, and calibrates them if necessary. The tool then searches multiple sources—LinkedIn, GitHub, company websites, talks, and the open web—to gather evidence on each candidate. When initial results are insufficient, Sengi autonomously explores new search angles in adjacent fields to broaden coverage. Each candidate is evaluated against the must-have criteria from the brief, with evidence clearly linked and visible. The output is a verified longlist showing who fits exactly, who might fit, and why, reducing manual review time. The process is designed for executive-search teams handling roles with complex or highly specific requirements.

Key features

  • Role brief ingestion and requirement calibration
  • Multi-source candidate evidence collection
  • Autonomous search angle refinement
  • Must-have and optional criteria evaluation
  • Linked evidence display for each candidate
  • Fit status categorization (fit, might fit, do not fit)
  • Integration with AI assistants via MCP
  • Longlist generation with contact details

Use cases

  • Filling senior computer vision roles in regulated medical devices
  • Sourcing climate risk software engineers with niche expertise
  • Identifying gaming industry talent with specific technical backgrounds

Pros

  • Verifies candidate fit against detailed briefs with linked evidence
  • Searches multiple sources including LinkedIn, GitHub, and company sites
  • Autonomously refines search strategy when results are insufficient
  • Provides a longlist with clear fit status and reasons for each candidate
  • Integrates with existing AI assistants via MCP

Cons

  • Requires an existing AI assistant (Claude or ChatGPT) to function
  • Limited to roles with verifiable public evidence (e.g., patents, talks, code)
  • No indication of support for non-technical or junior roles

Frequently asked questions about sengi

What is Sengi and how does it help with hiring?

Sengi integrates with AI assistants like Claude or ChatGPT to source and verify candidates for hard-to-fill roles. It accepts a role brief, extracts key requirements, and searches multiple sources—LinkedIn, GitHub, company websites, talks, and the open web—to gather evidence on each candidate.

Who is Sengi designed for?

Sengi is built for executive-search teams handling roles with complex or highly specific requirements, such as Principal Computer Vision Engineer or Head of Climate Risk Modelling.

How does Sengi verify candidates?

Each candidate is evaluated against the must-have criteria from the brief, with evidence clearly linked and visible. Sengi autonomously explores new search angles if initial results are insufficient.

What sources does Sengi use to find candidates?

Sengi searches LinkedIn, GitHub, company websites, talks, and the entire open web to gather comprehensive evidence about each candidate's experience and skills.

Can Sengi work with any AI assistant?

Yes, Sengi connects through MCP to any AI assistant, including Claude Cowork or ChatGPT Work, turning them into a sourcing engine for challenging roles.

What does Sengi output look like?

Sengi provides a verified longlist showing who fits exactly, who might fit, and why, with evidence linked for each candidate. The output is designed to reduce manual review time.

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