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Recruitment technology. AI Systems, Automation.

One CV becomes a hundred scored, tailored applications.

Client
Solinovo build, Pakistan
Industry
Recruitment technology
What we built
AI Systems, Automation
Timeline
V1 complete, 2026

Before

An agentic application pipeline that aggregates five job sources, scores every posting against a profile and tailors the CV per application.

Applying for work at any scale means reading hundreds of postings across scattered sources, then rewriting the same CV for each one by hand. The work is repetitive but not mechanical, which is exactly why it resists a simple script.

What we built

  1. 01

    The decision that shaped it

    We split the problem into judgement and labour. Scoring a posting against a profile is judgement, so it happens first and produces a number a person can sort by. Rewriting the CV to match is labour, so it is automated per application. Submission stays behind an explicit approval step. The agent prepares, the human sends.

  2. 02

    What we engineered

    An agentic pipeline pulling five job sources into a single feed, scoring every posting 0–100 against the candidate profile, then tailoring the CV and cover letter per application. A browser agent handles submission once approved.

  3. 03

    Multi-source job aggregation into one feed

    0–100 relevance scoring against a profile. ATS-tailored CV generation per posting.

  4. 04

    What leaves the system

    Application volume stops trading against application quality. Effort concentrates on the postings that scored well rather than being spread evenly across everything.

Master CVMatchingTailoringScored application
  1. 01

    The decision that shaped it

    We split the problem into judgement and labour. Scoring a posting against a profile is judgement, so it happens first and produces a number a person can sort by. Rewriting the CV to match is labour, so it is automated per application. Submission stays behind an explicit approval step. The agent prepares, the human sends.

    Master CVMatchingTailoringScored application
  2. 02

    What we engineered

    An agentic pipeline pulling five job sources into a single feed, scoring every posting 0–100 against the candidate profile, then tailoring the CV and cover letter per application. A browser agent handles submission once approved.

    Master CVMatchingTailoringScored application
  3. 03

    Multi-source job aggregation into one feed

    0–100 relevance scoring against a profile. ATS-tailored CV generation per posting.

    Master CVMatchingTailoringScored application
  4. 04

    What leaves the system

    Application volume stops trading against application quality. Effort concentrates on the postings that scored well rather than being spread evenly across everything.

    Master CVMatchingTailoringScored application
  • Multi-source job aggregation into one feed
  • 0–100 relevance scoring against a profile
  • ATS-tailored CV generation per posting
  • Cover letter customisation
  • Browser agent that submits behind an approval step

What changed

One master CV becomes a hundred scored, ATS-tailored applications.

Application volume stops trading against application quality. Effort concentrates on the postings that scored well rather than being spread evenly across everything.

Three people around a cafe table, one taking an order on a handheld card terminal while the other two sit with a book and drinks.
Next story, SaaSFive disconnected tools become one sales pipeline.

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