NH owns the early funnel end to end. It removes the structural bottleneck instead of rearranging it.
Resume matching, adaptive assessment, and ranked shortlist delivery, with no human intervention between steps. Each round builds on the one before: context carries across as many rounds as the role requires.
A ranked top 5 with 70+ page DeepLens reports: 18+ scored domain skills, workstyle and behavioral fit with evidence, and a clear recommendation.
Works with Darwinbox, Zoho, Keka, Naukri RMS, and other ATS platforms. No rip-and-replace.
Recruiter manually screens all 250. No structure, no consistency.
Panel interviews all 30 across R1 and R2. 4–6 hours per week, per interviewer.
Only now does your senior panel add real value — after all the wasted hours.
After 4–6 weeks. Full panel time spent. Best candidates often gone already.
25 candidates · 30-min autonomous elimination · zero recruiter time
8 candidates · 45-min adaptive evaluation · domain-specific rubrics
Ranked shortlist · DeepLens report per candidate · full evidence trail
5 people · full context · zero wasted time
Define the role: JD, must-haves, nice-to-haves, culture signals. JD Genie validates loose requirements against industry standards, so a vague brief becomes a precise role profile. Takes 10 minutes, and it is the only step that needs human input.
NH pulls from your ATS or accepts direct upload. Every applicant is ingested, deduplicated, and queued for scoring. No manual sorting.
Every applicant scored against the role profile using multi-dimensional fit analysis. The shortlist forms automatically, with no recruiter time between ingestion and assessment.
Adaptive autonomous assessments run R1 and R2. Role-specific rubrics, domain-aware depth, and cross-round context retention: R2 picks up where each candidate's R1 left off. NeedleEye monitors integrity throughout.
DeepLens delivers a ranked top-5 shortlist with a 70+ page report per candidate: scored skills, behavioral evidence, probe areas, and a hiring recommendation. Your panel walks in prepared.
Sourcing
Generates and distributes personalized outreach across LinkedIn, Naukri, job boards, and direct channels. Configurable per campaign.
Resume matching
Scores every applicant against the role profile using multi-dimensional fit. Eliminates noise before any human sees a CV.
Candidate routing
Manages candidate-to-role pairing for existing pipelines and urgent requirements. Pulls from pre-screened pools when speed is critical.
Assessment
Runs adaptive autonomous conversations. Role-specific rubrics. Domain-aware depth. Multi-modal analysis. Consistent across every candidate, every time.
Intelligence
Synthesises assessment data into DeepLens reports. Deep candidate insights, hiring recommendations, and evidence-backed shortlist delivery.
John Doe
Backend Engineer · Assessment: Jan 25, 2026
Overall fit score vs role profile
Domain / hard skills
Soft skills
↑ Advance · High coachability · Strong foundations · Probe OOP depth and AZURE breadth
70+ pages · Full evidence trail included’
Each skill assessed on a 1–10 scale with evidence-backed evaluation and topic-by-topic analysis. Not impressions. Not gut feel.
Communication, coachability, problem solving, growth mindset, and collaboration, scored against what the candidate actually demonstrated, not what they self-reported.
Your panel knows exactly where to dig. No cold starts. No generic questions asked for the fourth time that day.
Advance, Hold, or Do Not Advance, with evidence, confidence scores, and a personalized upskilling roadmap. 70+ pages per candidate.
Every interviewer has scores, evidence, and suggested probe areas before the final session. No cold starts. No time spent on questions NH already answered.
The report shows what the candidate demonstrated, not what they claimed. Every score has a reason. Every recommendation has evidence behind it.
The same rubric applies to every candidate for the same role. Geography, interviewer mood, and scheduling fatigue don't affect the outcome. You hire to a standard.
A new role, a clean slate. NH builds the campaign, runs sourcing, ingests applicants, and takes it through to shortlist without any manual steps in between.
The role is already running and new applicants keep arriving. NH processes them in real time against the existing campaign profile. No reconfiguration.
When time-to-fill is the primary constraint. Matchmaker draws from pre-screened candidates, matches them against the role, and compresses the entire funnel into hours.
| Capability | Traditional ATS | Human panels | Video interview tools | Assessment platforms | NH |
| Fully autonomous end-to-end | ✗ | ✗ | Partial | ✗ | ✓ |
| Domain-specific adaptive evaluation | ✗ | Inconsistent | ✗ | Partial | ✓ |
| Real-time voice + video assessment | ✗ | ✓ | ✓ | Partial | ✓ |
| 24/7 always-on availability | ✗ | ✗ | Partial | ✓ | ✓ |
| Built-in malpractice detection | ✗ | ✗ | ✗ | Basic | ✓ |
| GenAI fraud detection | ✗ | ✗ | ✗ | ✗ | ✓ |
| Structured decision-ready report | Partial | ✗ | Partial | Partial | ✓ |
| Resume matching bundled | Partial | ✗ | ✗ | ✗ | ✓ |
| Scales without adding headcount | ✗ | ✗ | Partial | ✓ | ✓ |
Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake, and in a 2025 survey, 6% of candidates admitted to interview fraud: posing as someone else, or having someone else pose as them. NH’s integrity layer, NeedleEye, is built into the assessment architecture, not bolted on. Two independent pipelines run on every session: visual gaze analysis, and acoustic and transcript analysis.
Identity confirmed throughout the session. Proxy fraud detected in real time, not after the fact.
Detects AI-generated responses, deepfake proxies, and automated answer injection: threats legacy proctoring was never designed for.
Multiple independent signals evaluated simultaneously. No single evasion technique is sufficient to bypass the system.
Room awareness detects external assistance, unauthorized materials, and secondary devices beyond single-camera proctoring.
Context-aware agents distinguish genuine behavior from coached or fabricated responses. Not static rule flags.
Every integrity flag documented with context, timestamps, and data. Fully defensible.
Human escalation when it matters. Intelligent escalation routes ambiguous integrity flags to human reviewers, so your team spends time on genuine edge cases, not false positives from static rule systems.
