TORONTO, Ontario, Sept. 29, 2026 - The Cognitive today announced the expansion of its AI Recruiting Agent, an AI recruiter designed to help hiring teams discover, engage and evaluate candidates throughout the recruitment process.
Unlike traditional recruiting software that primarily manages candidates after they apply, The Cognitive's AI recruiting agent actively searches the broader talent market, identifies passive candidates from natural-language hiring requirements and provides evidence explaining why each candidate may match a role.
The AI recruiting agent searches approximately 900 million candidate profiles from a recruiter-written brief. After identifying relevant candidates, the AI recruiting platform can assist with contact enrichment, automated email and SMS outreach, live two-way AI interviews and structured candidate evaluation, replacing the separate AI sourcing tools, recruiting CRM and interview software most teams stitch together today.
"An AI recruiting agent should do more than search a database," said Sparsh Goyal, founder of The Cognitive. "It should understand what a company is looking for, find people who may fit, explain the evidence behind those matches, engage candidates and help recruiters gather the information they need to make informed hiring decisions."
AI Candidate Sourcing Starts With a Plain-English Hiring Brief
Recruiters can describe their requirements in ordinary language instead of manually configuring dozens of search filters or writing Boolean search strings.
For example:
"Find me a corporate finance manager in Seattle with investment banking experience and a background working with high-growth technology companies."
The AI sourcing tool interprets the request, identifies relevant search criteria and searches candidate profiles for people who match the role. The recruiter can see the structured filters the brief became and correct any of them before or after the search runs.
Required qualifications and preferences can be treated differently. A candidate who does not have a preferred qualification is not automatically removed from the search if the recruiter considers that qualification desirable rather than mandatory.
When a search produces a limited candidate pool, the AI recruiting agent can broaden lower-priority requirements while preserving the essential criteria. The recruiter can see what was changed and how the change affected the candidate pool.
Every AI Candidate Match Includes Evidence
AI candidate matching is only one part of AI recruiting. The Cognitive's AI recruiting agent also provides supporting evidence for candidate recommendations.
For each requirement, the system identifies information that supports the match, information that contradicts it and information that is unavailable in the profile.
This distinction allows recruiters to separate documented experience from assumptions based on incomplete profiles, and it is the difference between AI candidate sourcing a hiring manager can check and a ranked list they have to take on trust.
"Candidate profiles are not complete records of someone's career," said Goyal. "If the profile does not provide evidence for something, the AI recruiting agent should identify that as unknown instead of presenting an assumption as fact."
The approach is designed to give recruiters greater visibility into how AI-generated candidate recommendations are produced.
An AI Recruiter That Continues Sourcing
Recruiting teams often run the same search multiple times during an open position. The Cognitive's AI recruiter maintains candidate pools by role, so previously surfaced candidates are tracked and future searches focus on discovering additional talent rather than re-showing the same people.
Candidates who were considered for one role remain available for another position rather than being permanently removed from the company's broader talent pool.
Roles a team switches on are scouted again overnight, within a nightly cap, and the recruiter receives a morning summary of the strongest new matches. This allows candidate sourcing to become an ongoing recruiting activity rather than a single search performed when a position first opens.
The AI Recruiting Agent Automates Candidate Outreach
After candidates are identified, the AI recruiting agent handles the next stage of recruiting automation: reaching the people it found.
The platform enriches candidate profiles with verified contact information from more than 20 premium data providers and supports personalized outreach through email and SMS.
Recruiters can create automated outreach sequences that stop the moment a candidate responds. Responses are organized by intent, allowing recruiters to identify candidates who demonstrate interest without manually reviewing every message.
The Cognitive uses a credit-based model for candidate contact reveals, charging only when verified contact information is successfully obtained. A recruiter who already has a candidate's email or phone number can enter it directly at no charge, and the candidate moves through outreach and import exactly as a purchased reveal would.

The Cognitive's interview scorecard: a score per criterion with the candidate's own words behind the rating
The AI Recruiting Agent Extends Into AI Interviews
The recruiting agent does not stop when a candidate responds to an outreach message.
Candidates can participate in live, two-way interviews with the company's AI interviewer through a web browser, scheduled by the candidate inside a window the recruiter sets, in the candidate's own time zone.
The AI interview agent uses information from the candidate's sourcing profile to determine which areas require further discussion. Rather than asking candidates to repeat information already established during sourcing, the AI interviewer focuses on areas where additional evidence is needed.
For example, if a candidate says they reduced software failure rates by improving retry logic, the AI interview agent can ask what the candidate personally changed, how the solution was implemented and what alternatives were considered.
The result is a conversational interview designed to gather additional evidence about a candidate's actual experience.
Structured Candidate Evaluation From the AI Recruiting Agent
Recruiting teams establish role-specific scorecards with defined criteria and weights before candidates enter the evaluation process.
The AI recruiting agent evaluates every candidate against the same predefined criteria while allowing interview conversations to adapt to each candidate. The rubric is fixed per role; the questions are decided live from each answer.
After an interview, hiring teams receive the recording, the transcript and a scorecard in which each rating is supported by a verbatim quote from the conversation. Where sufficient evidence is unavailable, the platform identifies the gap rather than generating an unsupported assessment.
This gives hiring teams a consistent framework for candidate screening and evaluation while preserving the conversational nature of an AI interview, which is where most AI recruiting software stops short: it finds or it screens, rarely both.
AI Recruiting Software That Works With Existing ATS Platforms
The Cognitive's AI recruiter is designed to work alongside existing applicant tracking systems, talent acquisition software and recruiting CRM software rather than replace them.
The platform supports ATS integrations including Greenhouse, Lever, Ashby, Workday and Bullhorn, and exposes the same recruiting agent through an MCP server, so a recruiter can create roles, search candidates, reveal contacts, run outreach and read interview scorecards from Claude, ChatGPT or any other AI assistant that supports the protocol.
Candidate information, sourcing activity, outreach history and interview evaluations can therefore become part of the recruiting team's existing workflow.
"Companies already have systems for managing applicants," said Goyal. "The AI recruiting agent expands what happens before someone becomes an applicant. It helps teams find the people who never applied in the first place."
From AI Recruiting to AI-Assisted Hiring
The Cognitive's AI recruiting agent brings multiple recruiting activities into one connected AI hiring platform:
- AI candidate sourcing from approximately 900 million profiles
- Natural-language candidate search based on recruiter requirements, no Boolean required
- AI-powered candidate matching with supporting evidence for every requirement
- Continuous candidate discovery for open positions, including overnight scouting
- Candidate contact enrichment with verified emails and phone numbers
- Automated email and SMS outreach that stops when a candidate replies
- Live two-way AI interviews, self-scheduled by the candidate
- Structured candidate scorecards with fixed criteria and weights
- Evidence-based candidate evaluation with a quote behind every rating
- ATS integrations and an MCP server for AI assistants
The company said the goal is to reduce repetitive recruiting work while helping hiring teams spend more time engaging with qualified candidates and making informed hiring decisions.
Availability
The AI recruiting agent is available now to in-house talent acquisition teams and recruiting agencies in Canada, the United States, the United Kingdom and Europe. Pricing is published: AI sourcing plans start at $49 per month and AI interview plans at $99 per month. Every new account starts with 2 AI interviews and 100 sourcing credits free at app.thecognitive.io/signup, with no card required.
About The Cognitive
The Cognitive is an AI recruiting platform focused on full-cycle recruitment. Its AI recruiting agent combines AI candidate sourcing, AI-powered candidate matching, contact enrichment, automated outreach, two-way AI interviews and evidence-based candidate evaluation. The platform searches approximately 900 million candidate profiles and integrates with existing applicant tracking systems to help recruiting teams discover, engage and evaluate candidates beyond traditional job applications. Visit https://thecognitive.io.