HeyMilo Raises $6 Million to Deploy AI Agents That Assess Candidates Beyond the Resume
The News
HeyMilo AI, a New York-based agentic recruiting startup founded in 2023 by former Instagram, Microsoft, and Salesforce leaders, has raised a $6 million funding extension led by Category Ventures, with continued participation from Canaan Partners, Alumni Ventures, and ERA. The company builds conversational AI agents that autonomously conduct phone, text, and video pre-screening interviews and output structured transcriptions and performance scores into any ATS.
Alongside the funding, HeyMilo unveiled three new AI agent workflows. The first, AI Scenario Assessment, presents candidates with a live interactive scenario where they must plan, prompt, and evaluate output from a built-in AI assistant — rubric-scored to close what HeyMilo calls the 'proof gap' that standard resumes and generic interviews miss. The second, Candidate Recommendations, automatically mines the employer's existing ATS to resurface and rank past applicants suitable for new openings. The third, Notetaker, sits in on human-led interviews to capture structured, uniform notes for consistent evaluation data.
Early adopters, from one-person HR departments to large BPOs, have reported reducing hiring times from weeks to hours, while maintaining high candidate satisfaction scores. The company plans to use the new capital to expand engineering and operations, with a particular focus on cross-border, multilingual high-volume talent pipelines.
Why It Matters
For TA leaders in large enterprises, HeyMilo's approach addresses a specific and growing pain point: the breakdown of the resume as a reliable filtering mechanism. As generative AI tools enable candidates to produce polished, keyword-optimised resumes at scale, the traditional screening funnel has become noisier and less predictive. HeyMilo's bet is that the solution is not better resume parsing or more sophisticated keyword matching, but a fundamentally different evaluation approach — one that tests how candidates actually perform with AI tools rather than what they claim on paper.
The funding amount is modest compared to the rounds raised by broader TA platforms, but the product strategy is worth watching. If AI Scenario Assessment proves effective at scale, it could reshape how enterprises think about early-stage screening for high-volume roles — shifting from 'does this resume have the right keywords?' to 'can this candidate do the job with AI assistance?' That is a fundamentally different hiring question, and one that most ATS platforms are not designed to answer.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your head of assessment and selection — run a pilot comparing your current screening funnel against an AI scenario-based assessment for one high-volume role family. Measure: applicant-to-interview conversion rate, interviewer time per candidate, and post-hire performance at 90 days. HeyMilo's claim of 'weeks to hours' is aspirational for enterprise scale, but the directional bet on scenario assessment over resume screening is worth testing.
Your head of candidate experience — the high candidate satisfaction scores reported by HeyMilo's early adopters are relevant because they challenge the assumption that candidates dislike automated screening. If candidates actually prefer an AI scenario assessment to a phone screen with a recruiter who hasn't read their resume, that changes the experience design conversation entirely.
Your head of talent technology procurement — add AI scenario assessment and skills verification to your evaluation criteria for screening and assessment vendors. The ability to evaluate how candidates use AI tools will become a standard requirement within the next two years, and the vendors that offer it now will have a data advantage.
Inspect
What to take a closer look at
Audit your current screening process for one high-volume role and identify every point where a candidate could fabricate or exaggerate their capabilities. For each screening stage (resume review, phone screen, skills test, interview), rate the detection difficulty on a simple scale: trivial to fake, moderate, difficult. The gaps between 'difficult' and 'trivial to fake' represent your vulnerability to AI-generated candidate fraud. Specific tool to look at: your assessment or screening platform's anti-fraud features — can it detect AI-generated responses, verify identity, or test real-time AI usage skills? If not, HeyMilo's scenario-based approach offers a benchmark for what the next generation of screening tools should provide.
Reflect
What to think about more deeply
The most interesting question isn't 'should we adopt AI agents for screening?' — the volume of AI-generated applications makes some form of automated screening inevitable. The interesting question is 'what does it mean for fairness when the screening itself evaluates candidates on their ability to use AI?' Candidates who are already AI-proficient will score higher on an AI scenario assessment, potentially reinforcing the same digital divide that traditional hiring already perpetuates. If your assessment strategy evaluates AI fluency, are you prepared to offer a non-AI alternative path for candidates whose skills are real but whose AI experience is limited?