Sagan Passport built and launched a full catalog of AI agents designed to check dispatch boards against credential lists and job requirements.
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Publisher name
Public post
Your tech's certification lapsed in June. Dispatch kept sending him to jobs that required it until October. Nobody made a bad call. It was current when he was hired, the…
Company
Sagan Passport
Hire Better. Scale Faster. Build your dream team.
- Industry
- Business Consulting and Services
- Location
- San Diego, US
- Company size
- 11–50 employees
About Sagan Passport
The companies pulling away in 2026 don't have bigger payrolls. They have more leverage. Sagan helps businesses get it two ways: world-class global hires and custom AI agents, working side-by-side inside your company. (1) Remote global talent that sticks. We help our members hire full-time pros across finance, ops, growth / marketing, sales, and tech at 60-80% less than local cost. Direct hires who integrate fast, own outcomes, and perform like they want to grow with you for years, because they do. No staffing agency markup. No freelancers. No BPO contracts. (2) AI agents that do real work. We build and deploy custom AI agents inside our member companies, dropped straight into the workflows that move the business: lead gen, ops, finance, reporting, customer ops, and more. More output, same payroll. Work that used to take three hires now runs on one sharp operator plus a stack of agents that don't sleep. The combo is the point. A great team + agents built around how that team works. Our members are operating like companies with 10x the resources. ---- Hundreds of businesses, dozens of AI agents, thousands of hires earning a 4.9 on G2 and 4.8 on Clutch 2026: #20 on the Clutch 100 Fatest-Growing Private Companies
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Latest activity from Sagan Passport
3 signals
Products & Services
Sagan Passport released Fable 5.1, a new agent that reduces the cost of reading a price book by 75% and allows agents to run nightly instead of weekly.
Customers & Market
Sagan Passport priced more than 131 roles across four regions in the US based on the data put to the author's own payroll.
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