Live in production
Fill the role, not the funnel.
A pure agentic platform: the agent works the funnel so you can work the role. It screens every application against your bar, assesses the shortlist, and brings you only the decisions that need judgment.
Human-in-the-loop by default · Workable, Bullhorn, or standalone
Book a demo · See it on a live role
The agent at work
A recording of the working product, driven against demo data, in four chapters:
- Turn the agent on. Ask the agent in chat to turn itself on for a role, then confirm.
- Watch the funnel move. An hour later, candidates have moved and its decisions wait in the queue.
- Approve its decisions. Check the evidence, then send a voice screen and an assessment.
- Talk to the agent. Turn auto-reject on in chat, and the rejects it had queued leave the queue.
Create the job
Describe the role in one sentence. The agent drafts the brief, asks for what is missing, and publishes the job page.
Control the agent
Check the must-have and preferred requirements it screens against, set a monthly budget, then turn it on.
Read the whole report
The 5 Ds with the reasoning behind each score, the prompts and code from the session, integrity checks, and the team's notes and timeline.
- Delegation — deciding what to own versus hand to the agent.
- Description — directing the agent with clear prompts and the right context.
- Discernment — catching what the AI gets wrong.
- Diligence — verifying before claiming done.
- Deliverable — what actually shipped, on its merits.
Search your entire pool
Ask about your candidates in plain words. Choose how deep the search goes and see the cost before it runs.
One agent, your whole funnel.
It executes the reversible steps on policy and brings the ambiguous and irreversible ones to you, with the evidence attached.
- Intake. Applicants arrive from your live Taali job page and any connected ATS.
- Screen. Every CV is read against the role's real requirements, with weak fits gated by evidence.
- Assess. A working session is authored from the job and run in a sandbox.
- Decide. A deterministic verdict names the rule and the criteria version it used.
- Hand back. Candidate movements and decision summaries are written back to your ATS.
Pay for the work, not the seat.
Pricing follows the AI work your pipeline does, never your headcount. Credit packs are one-off purchases, not a subscription, and larger packs carry more credits for the same dollar.
About Taali and agentic hiring
Taali (taali.ai) is a business software company based in Dubai, United Arab Emirates. It builds an agentic applicant tracking system and AI-native technical assessments for engineering hiring, and it is not a food or snack brand or a healthcare product — several unrelated companies share the name. Reach the team at hello@taali.ai.
Agentic ATS
Taali is an agentic ATS: an applicant tracking system in which an AI agent decides what hiring work to do next and carries it out inside bounds you set, rather than waiting for a recruiter to trigger each step. On a five-level scale of hiring autonomy it sits at level 3 — a bounded agent: it chooses its own work and completes the reversible parts, while consequential decisions use human approval by default. You can explicitly authorise deterministic, policy-bound actions; ambiguous and off-policy decisions stay with a person. It runs as an agent layer on the applicant tracking system you already use, or standalone on its own job pages with native apply. See what an agentic ATS is for the full scale and the five questions that place any vendor on it.
Agentic hiring
Taali's agent works your pipeline continuously across three loops — triage, assess, and decide. Every cycle it surveys each role, decides where the work is (fetch CVs, pre-screen, score, send assessments, queue advances or rejects), paces itself within budget, and asks you when it needs input it can't derive on its own. You set the criteria once; the agent recommends, and consequential calls stay with you by default. Only deterministic actions you explicitly authorise within policy run unattended.
AI-native assessments
Every Taali assessment opens a real, browser-based workspace with AI tools in the candidate's hands — alongside your repo, a live editor, and a terminal — exactly the way engineers ship now. We don't block AI; we score how candidates use it. The runtime captures every prompt, paste, edit, file open, test run, and commit, then feeds the five-dimensional rubric above so AI fluency is graded from observable work rather than a quiz.
- AI collaboration score — did they prompt well, catch a hallucination, and know when not to use AI?
- Prompt-by-prompt replay — see exactly how a candidate worked the agent, not just the final code.
- Full session telemetry — edit timeline, test runs, terminal output, every event tied back to the report.
- Autopilot detection — calibrated flags for candidates who pasted without reading.
How AI-native hiring works with Taali
AI-native hiring means the recruiting workflow itself is run by an AI agent, and candidates are evaluated on how effectively they use AI. Taali delivers both — an agentic pipeline plus AI-native assessments — so you hire engineers who ship well with AI, with human approval by default and explicit controls over policy-bound automation.
Frequently asked questions
What is an agentic ATS?
An applicant tracking system in which an AI agent decides what hiring work to do next and carries it out inside bounds you set, instead of waiting for a recruiter to trigger every step. Consequential decisions use human approval by default; deterministic, policy-bound actions run automatically only when you explicitly authorise them.
Do I need to replace my ATS to use Taali?
No. Taali runs as an agent layer on the applicant tracking system you already use and writes movements and decision summaries back into it. With no ATS, it runs standalone on its own job pages with native apply.
What is agentic hiring?
Agentic hiring is recruiting run by an autonomous AI agent that works your pipeline continuously within a budget you set, pausing to ask a human whenever a decision falls outside explicit policy or needs judgment.
What is an AI-native assessment?
An AI-native assessment puts a candidate in a real workspace with AI tools in hand — rather than banning AI — and scores how well they collaborate with it alongside their code craft.
How does Taali measure AI fluency?
Taali scores the recorded session across Delegation, Description, Discernment, Diligence, and Deliverable. Each score links to the exact moment in the prompt-by-prompt session replay that supports it.
The product, in detail
- Pricing — pay for the AI work, not the seat
- For recruitment agencies — the margin model, on your numbers
- Developer portal — the public API for hiring data
- Trust centre — how decisions are made, and how to contest one
Guides
- What is an agentic ATS? The five levels of hiring autonomy
- What is agentic hiring?
- AI-native hiring: what it means and how to do it
- AI-native assessments: measuring how candidates use AI