An agency, a product, and a build shop. One crew. One agentic backbone. Three ways to fix recruiting — or whatever else you're staring at.
One crew. One agentic backbone. Three ways to fix recruiting — or whatever else you're staring at.
Sound familiar?
Generalist agencies send you the same five LinkedIn profiles everyone else got. Your in-house recruiter is buried under 40 reqs. Top engineers don't even open cold InMails anymore. You need a specialist who actually knows what a senior infra engineer looks like — and a system that can move at startup speed.
It tracks applicants. That's it. It stores resumes. It holds a pipeline. It waits for you to do every single thing — search, score, schedule, report, repeat. You're the engine. The system is the filing cabinet. You're spending 14 emails to book one interview and 90 seconds per resume to triage Monday morning's queue. You're not a recruiter anymore. You're a human calendar.
You've got a workflow that's screaming for AI. A custom integration. An internal tool. A product feature you've been promising for two quarters. The off-the-shelf options don't fit, your engineers are slammed, and "we'll add AI to it later" has become permanent.
Applicant Tracking System
Agentic Talent System
We changed what it means.
An Applicant Tracking System tracks applicants. That's it. It stores resumes. It holds a pipeline. It waits for you to do every single thing — search, score, schedule, report, repeat. You're the engine. The system is the filing cabinet.
Chosen is an Agentic Talent System. Same three letters. Completely different product. It has AI agents that go find candidates on the open web, AI that scores and explains every match, an agent that manages your entire scheduling inbox, and analytics that generate themselves from data the agents already collected. The agents do the recruiting work. You make the recruiting decisions.
It's also the system we use to do recruiting for our clients. So if the agents look good, the agency runs on them too.
Every pain point you just read? Chosen has an AI agent that handles it. Not a feature you have to click through. Not a button that says “generate.” An agent that does the work and asks for your approval when it's done.
Solves: "Recruiting eats your calendar."
An AI agent that watches your Gmail inbox around the clock, reads every candidate reply on a scheduling thread, classifies what they're asking — confirmation, reschedule, cancellation, logistical question, late notice — and drafts a response in your voice. When you approve, the agent sends the email through your personal Gmail, books the calendar event, generates the meeting link, and notifies the interviewers.
A candidate replies "Can we move to Thursday instead?" The agent reads the email, classifies it as a reschedule request, cancels the existing meeting, creates a new scheduling request with a fresh availability link, drafts a reply to the candidate, and puts the whole package in your approval queue. You tap approve. Done. The 14-email chain just became one tap.
The agent tracks full conversation history, respects cooldown windows so it doesn't spam candidates, detects stuck scheduling threads that have gone silent, and retries failed deliveries. You go home for the weekend. Monday morning the queue shows exactly what the agent handled, what it drafted, and what still needs you.
Learn more about the Scheduling Agent
Solves: "Monday morning. 50 applications. No help."
Every candidate who enters Chosen — whether they applied through your career page, were uploaded by a recruiter, or were imported from a sourcing mission — is automatically scored against every job they're linked to. Not a mystery number. A claim-by-claim breakdown that shows exactly why.
The AI reads your job description and your private internal match criteria, then extracts 5 to 15 testable claims — "3+ years of Python," "experience leading a team of 5+," "background in regulated data environments." Each claim is classified as a must-have, nice-to-have, or red flag, with a weight reflecting how much the job emphasizes it. Then the AI reads the candidate's resume and evaluates each claim individually, pulling concrete evidence from the resume. The final score is a weighted average — and you see every claim, every piece of evidence, every weight.
50 applications at 8am? Sort by match score. Open the top five. Read the AI highlights — five one-line "cliff notes" per candidate with a polarity tag (strength, caution, or red flag) and the evidence behind each. You've triaged the whole queue in 10 minutes.
Learn more about Match Intelligence
Solves: "Outbound is seven tools duct-taped together."
No browser extension. No copying and pasting URLs. No separate sourcing subscription. Type a plain-English description and the agent searches the open web in real time — LinkedIn profiles, GitHub, personal sites, public directories. Prospects stream into your table as they're discovered, each with a rich dossier: name, current title and company, location, links, full work history, skills extracted and ranked, and a generated summary.
Type: "Senior product designers in SF who've shipped consumer mobile apps and have strong visual portfolios." Hit launch. First-pass results aren't quite right? Start a refinement mission: "Tighten it — must have worked at a YC company." The agent builds on the prior search. When you find the ones you want, select them and import to your pipeline with one click. Chosen deduplicates automatically. They land pre-linked to the job with a match score already computing. The seven-tool workflow just became one tab.
Every prospect Chosen has ever found stays searchable forever — natural-language search, structured filters, and semantic vector search all running in parallel across your entire sourcing history.
Learn more about the Sourcing AgentNo retention specialist hand-off. No SDR throwing your job description over the wall. Ben hires the engineers. Nhat hires the GTM. Both pick up the phone.
Backend, ML/AI, infra, data, founding engineers, robotics. Ben evaluates engineers as engineers — not as a stack of keywords.
Multidisciplinary engineer with a data-science background. He's shipped production systems, built ML pipelines, and sat on both sides of the hiring table. He'll talk to your candidates the way your CTO would.
Book a call with Ben
Founding AEs, growth marketing, demand gen, RevOps, customer success leads, chiefs of staff. The roles that determine whether your engineering output ever turns into revenue.
Former Chief of Staff who lived the recruiting marathon — scheduling, screening, calibration, the whole thing. She has a sharp instinct for the hires that move a startup from product-market-fit to repeatable revenue.
Book a call with NhatChosen is the proof: every agent on this page, every screen, every integration — we built it. If your roadmap has “we'll add AI to it later,” we'll build it now. Recruiting automations, internal tools, product features. Working demos in days. Production in weeks.
See what we shipThree lanes. Three before/afters.
cold-outbound roulette→shortlists in 7 days
Ben hires engineers. Nhat hires GTM. The agentic system does the legwork so the human eye lands on the right ten people, not the random fifty.
filing-cabinet ATS→Agentic Talent System
Same three letters. Agents that source, schedule, score, and report — so the recruiter stops being a human calendar.
"we'll add it to the roadmap"→shipped Friday
AI/data-science shop that ships production code, not demos. If it doesn't exist as SaaS, we build it for you.
Gmail, Calendar, Zoom, Notion — plus a full API and an MCP server. Everything else, we can build.
Bringing a system over from another ATS is the only painful part of any of this. Your candidates, jobs, pipeline data, and history migrate cleanly. Your open roles keep running. Your team is onboarded in days. And a real person is available the entire time.
Hire through us. Buy our software. Build something custom. Tell us where the bottleneck is — we'll point you at the right one.
