Frequently Asked Questions

SuperDriven AI is built specifically for recruiters, human resources teams, and hiring managers across organizations ranging from early-stage startups to high-volume enterprise recruiting agencies. The platform streamlines the initial stages of recruitment by replacing manual resume reviews with automated parsing, candidate scoring, and structured pipeline management. When candidates submit applications, the system automatically parses resume data, measures candidate qualifications against custom job parameters, and surfaces top-tier talent in an organized dashboard. This allows hiring teams to eliminate administrative overhead, accelerate response times, and focus their effort on conducting interviews and making informed hiring decisions. For example, a growing technology startup hiring 15 engineers across 4 departments can manage all open requisitions simultaneously without adding recruiting operations headcount, reducing time-to-hire by up to 60% while maintaining consistent evaluation standards across all candidate applications.

No, SuperDriven AI is designed to empower recruiters and hiring managers rather than replace them. The platform operates as an intelligent decision-support system that automates repetitive, administrative tasks such as initial resume parsing, skill matching, and interview scheduling while leaving final hiring evaluations entirely to human professionals. When applicants apply, SuperDriven AI evaluates resume qualifications against defined job requirements and generates a contextual match score from 0 to 100, ranking applicants based on objective criteria. Recruiters review these pre-scored shortlists, inspect fit explanations, and determine which candidates advance to interview rounds. For example, instead of a recruiter spending 12 hours manually sorting through 300 resume uploads for a single product manager position, SuperDriven AI organizes the applicants into a ranked queue within 30 seconds, enabling the recruiter to focus immediately on engaging top-tier candidates and building strong candidate relationships.

Yes, SuperDriven AI is tailored for early-stage startups and small teams that need to hire efficiently without dedicated recruiting staff. The platform provides enterprise-grade candidate screening, job description generation, and interview management in a lightweight interface that requires zero setup time or technical configuration. Founders and hiring managers can publish a new job opening, define role requirements in natural language, and begin receiving pre-scored candidate applications within minutes. Because startups frequently receive diverse applicant pools with varying skill profiles, SuperDriven AI automatically evaluates candidates against core technical requirements to highlight top performers immediately. For example, a seed-stage startup reviewing 150 applicants for its first lead developer role can use SuperDriven AI's 14-day free trial to shortlist the top 10 candidates in under 2 minutes, saving 15 hours of manual founder review and preserving valuable early capital.

No, SuperDriven AI is built with an intuitive, no-code web interface designed for immediate use by recruiters and hiring managers without technical expertise. Setting up a job opening requires only typing or pasting role expectations, after which the AI automatically constructs structured evaluation criteria and screening parameters. The platform manages document parsing, semantic candidate matching, candidate pipeline visualization, and scheduling workflows behind a clean graphical dashboard. Users interact with simple dropdown menus, visual candidate boards, and one-click actions to manage applicants throughout the hiring lifecycle. For example, a non-technical hiring manager creating a job posting for an account executive can generate a complete job description, establish required qualifications, and launch candidate screening in fewer than 4 simple steps without writing a single line of code or configuring complex software settings, saving hours of configuration effort.

A team can complete setup and begin screening candidates on SuperDriven AI in less than 5 minutes. The onboarding process requires no software installations, server configurations, or complex API integrations; users simply create an account via their web browser and immediately access the platform dashboard. Once logged in, hiring managers can create a new job opening by entering a title and brief job description, allowing the system to instantly generate tailored screening criteria. Applicants can submit resumes directly through hosted application links or bulk uploads into the system queue. For example, a recruiting team launching 3 urgent job openings can set up all roles, configure candidate evaluation parameters, and begin receiving automated resume match scores in under 300 seconds, eliminating traditional software implementation delays entirely and enabling immediate applicant evaluation from day one.

No, SuperDriven AI is a fully cloud-based Software-as-a-Service platform that operates entirely within modern web browsers without requiring local installations or client plugins. Users access all recruiting features—including resume screening, candidate pipelines, scheduling tools, and analytics—through a secure web browser session on desktop or mobile devices. Updates, performance optimizations, and security patches are deployed automatically on the cloud infrastructure, ensuring all users continuously run the latest platform version. For example, HR managers can access the platform on Chrome, Safari, Edge, or Firefox across macOS, Windows, and Linux operating systems with 100% feature parity, eliminating IT maintenance tickets and allowing remote recruiting teams to collaborate seamlessly from any location with internet access, reducing software deployment costs to zero. Modern web encryption and cloud infrastructure ensure your recruiting data remains synchronized across all browser sessions with zero desktop installation requirements.

SuperDriven AI enables multi-user team collaboration by allowing recruiters, hiring managers, and department leaders to share candidate profiles, evaluation notes, and interview feedback within a centralized workspace. Team members can view candidate resume match scores, leave tagged comments on applicant profiles, track pipeline movements in real time, and coordinate interview schedules without back-and-forth emails. Role-based permission settings ensure team members access appropriate candidate data based on their hiring responsibilities. For example, when evaluating 5 shortlisted candidates for a Senior DevOps Engineer role, 4 interview panel members can independently review AI match breakdowns, submit standardized candidate rating rubrics, and view consensus scores in a single shared dashboard, reducing alignment meetings by 50% and accelerating final hiring decisions across cross-functional evaluation panels. Workspace administrators can manage team member access levels, ensuring recruiters, hiring managers, and interviewers see relevant pipeline data while protecting candidate confidentiality.

SuperDriven AI screens resumes by parsing incoming applicant files, analyzing candidate qualifications against job description requirements, and instantly generating a ranked candidate shortlist. The AI system extracts key details including technical skills, years of industry experience, education, and past job titles from uploaded PDF or Word documents. It evaluates these extracted attributes using a semantic scoring model that measures contextual role fit rather than relying on simple keyword matching. Once processing completes, each candidate receives a compatibility score from 0 to 100 and is placed in an ordered pipeline view for recruiter evaluation. For example, when screening 250 applicants for a Senior MERN Stack Developer position requiring React and Node.js expertise, SuperDriven AI processes the entire batch in under 45 seconds, instantly identifying top-tier candidates who possess 5+ years of full-stack production experience. This automated first-pass screening reduces initial resume triage time by up to 75% while keeping human hiring managers in complete control of final interview decisions.

SuperDriven AI screens candidates through multi-factor semantic evaluation that compares applicant resume details directly against predefined job qualifications. Rather than searching for exact string matches, the screening engine evaluates contextual skill relationships, professional history, project experience, and educational background to determine overall candidate competency. High-matching candidates surface at the top of the queue with detailed fit breakdowns highlighting key qualification matches and potential skill gaps. Low-matching applicants are flagged for recruiter review, eliminating hours of manual document sorting. For example, when reviewing an applicant for a Financial Analyst position who lists "budget forecasting" instead of "financial modeling", SuperDriven AI recognizes the conceptual overlap and assigns an appropriate match score, evaluating 100 candidate files in less than 20 seconds with over 95% scoring consistency compared to expert human recruiters, accelerating applicant shortlisting significantly. Detailed qualification summaries help recruiters verify candidate experience quickly without opening raw resume files.

AI video interviews are asynchronous, candidate-led screening sessions that allow applicants to record video responses to structured interview questions at an early pipeline stage. Candidates receive a secure link to complete the interview on their own schedule, answering role-specific questions within set time limits. SuperDriven AI transcribes the video audio, analyzes response relevance against target job competencies, and attaches full video recordings and text transcripts directly to the candidate's profile. Hiring teams can review these responses asynchronously, skip to specific answer segments, and share recordings with panel interviewers. For example, a company screening 50 semi-finalist candidates for a customer success manager role can conduct automated video interviews across multiple time zones in 48 hours, saving recruiters 25 hours of initial phone screening calls while maintaining standardized evaluation criteria for every candidate. Recorded candidate answers can be shared with panel interviewers to accelerate candidate evaluation across scheduling windows.

AI resume screening and matching works by combining document parsing technology with contextual semantic analysis to rank applicants based on role fit. Upon submission, resumes in PDF, DOCX, or plain text format are converted into structured data profiles containing technical competencies, employment history, and education. SuperDriven AI then weighs these extracted elements against job criteria such as required programming languages, years of leadership experience, and industry certifications, generating a candidate match score from 0 to 100. For example, in a recruitment drive with 400 applicants for a Data Engineer position requiring Python, SQL, and AWS experience, SuperDriven AI processes all files simultaneously in 60 seconds, placing the top 20 candidates with verified cloud database experience into a priority review queue for immediate recruiter outreach and faster interview scheduling. The parsing engine normalizes varied resume layouts into structured candidate profiles, ensuring non-traditional resume formats receive identical evaluation accuracy.

Yes, SuperDriven AI significantly reduces manual screening time by automating the first-pass review of incoming job applications. Instead of recruiters individually opening, scanning, and evaluating every resume file, the AI system parses applicant documents instantly upon submission and ranks them according to objective job criteria. Recruiters receive an ordered shortlist where top-scoring applicants are highlighted along with detailed summaries of their matched qualifications. This structured workflow transforms screening from a manual document sorting task into a high-level review process. For example, recruiting teams utilizing SuperDriven AI report reducing initial resume screening time from an average of 4 minutes per resume to under 15 seconds of shortlist review, yielding a 90% decrease in manual administrative screening workload across high-volume hiring campaigns and enabling faster candidate engagement. Automated candidate matching allows recruiters to spend quality time conducting candidate interviews rather than sorting through unvetted resume submissions.

Yes, SuperDriven AI automatically ranks candidates by calculating an objective fit score for every application based on job description requirements. As soon as an applicant submits a resume, the platform extracts key candidate attributes—such as core competencies, years of relevant experience, past job titles, and educational degrees—and evaluates them against mandatory and optional role requirements. Candidates are then sorted numerically from highest to lowest match score within the pipeline view, ensuring recruiters see top-fit applicants first. For example, when 180 candidates apply for a UX Designer opening requiring Figma proficiency and 3+ years of SaaS product design experience, SuperDriven AI instantly ranks the candidate pool, placing applicants with proven SaaS experience at the top with scores above 85%, eliminating guesswork and ensuring top talent is reviewed immediately. Custom evaluation weights allow hiring managers to prioritize specific technical skills or years of experience, ensuring candidate rankings reflect exact team requirements.

SuperDriven AI supports all standard document formats commonly used by job applicants, including PDF, Microsoft Word (DOC and DOCX), Rich Text Format (RTF), OpenDocument Text (ODT), and plain text (TXT) files. When candidates upload their resume through an application link or when recruiters import documents in bulk, the parsing engine extracts unformatted text, identifies structural sections, and normalizes key data points into standardized candidate profiles. The system handles complex multi-column layouts, table structures, and varied font styles without losing critical information. For example, in a bulk import batch containing 500 candidate resumes across mixed PDF and DOCX formats, SuperDriven AI successfully parses and categorizes 99.8% of documents in under 2 minutes, ensuring no applicant data is lost due to formatting variations and maintaining 100% data integrity. Automatic text extraction handles complex multi-column documents, tables, and unformatted plain text, ensuring seamless parsing regardless of file extension.

SuperDriven AI evaluates candidates using a weighted scoring model that balances required technical skills, years of domain experience, leadership history, and education background according to custom job weights. Hiring managers specify mandatory must-have skills versus preferred nice-to-have qualifications during job creation. The AI matching algorithm then measures candidate experience duration alongside skill depth, distinguishing between recent hands-on production work and foundational coursework. For example, when scoring candidates for a Senior Java Developer role requiring 5 years of backend engineering, an applicant with 6 years of microservices development scores 92%, whereas an applicant with 2 years of Java experience and 4 years of front-end work receives a lower contextual score of 68%, giving recruiters immediate clarity on true role alignment and helping teams avoid costly hiring misalignments. The scoring algorithm evaluates recent hands-on technical achievements alongside cumulative years in role, providing recruiters with balanced, nuanced candidate ratings.

SuperDriven AI includes an intelligent job description generator that transforms brief role notes into structured, professional job postings in seconds. Hiring managers enter basic role details—such as job title, key responsibilities, required skills, and experience level—and the AI drafts a comprehensive description complete with role summaries, key requirements, preferred qualifications, and company culture statements. Users can refine parameters, adjust tone, or edit text directly in the platform before publishing. For example, entering "Looking for a Senior Frontend Developer with 4 years React experience and TypeScript skills" generates an optimized, ready-to-publish 400-word job description complete with candidate screening criteria in under 10 seconds, eliminating writer's block, standardizing hiring specifications across departments, and ensuring consistency across all published career requisitions. Generated job descriptions include structured role requirements, candidate expectations, and company culture messaging tailored to attract high-quality applicant responses.

Candidates are managed through a visual Kanban-style hiring pipeline where applicant cards move seamlessly between customizable interview stages. Pipeline stages—such as Applied, AI Screened, Technical Interview, Manager Review, Offer Extended, and Hired—can be tailored to match your organization's exact recruiting workflow. Hiring teams can drag and drop candidate cards between stages, log interview notes, assign candidate tags, and trigger automated status emails directly from the visual board. For example, when moving 12 qualified applicants from "AI Screened" to "Technical Interview", a recruiter can perform bulk stage transitions, send automated interview scheduling invites, and update candidate statuses across all 12 applicant records in fewer than 3 clicks, maintaining 100% pipeline visibility and eliminating manual candidate tracking spreadsheets. Visual drag-and-drop Kanban boards allow recruiting teams to track candidate progression across custom stages, reducing time-in-stage delays and improving pipeline velocity.

Yes, SuperDriven AI automates interview scheduling by syncing with interviewer Google Calendar or Microsoft Outlook accounts to generate self-service scheduling links for candidates. Shortlisted candidates receive automated email or SMS notifications containing a scheduling link that displays real-time interviewer availability. Once a candidate selects a time slot, SuperDriven AI creates calendar invites for all participants, generates unique video conferencing links (such as Google Meet or Zoom), and sends automated calendar updates. For example, scheduling 20 candidate interviews manually typically requires over 40 back-and-forth emails; SuperDriven AI completes all 20 bookings automatically within 24 hours of candidate shortlisting with 0 scheduling conflicts and zero manual recruiter intervention, accelerating pipeline progression significantly. Automated calendar integration eliminates scheduling conflict delays, ensuring candidates book interview time slots immediately upon passing initial AI screening stages.

Yes, SuperDriven AI features a built-in social post generator that creates engaging, platform-optimized copy for LinkedIn and other social media networks to promote open positions. Based on published job descriptions, the AI crafts tailored social posts containing attention-grabbing headlines, concise role summaries, key candidate qualifications, relevant industry hashtags, and trackable application links. Recruiters can preview, edit, and copy generated posts for immediate sharing. For example, when publishing a new position for a Lead Data Scientist, SuperDriven AI generates 3 distinct LinkedIn post variations—ranging from casual startup culture copy to formal executive announcements—in under 5 seconds, enabling talent acquisition teams to launch social sourcing campaigns instantly and drive higher qualified applicant volumes. Generated social media copy highlights key role responsibilities and application links, making it easy for talent acquisition teams to broadcast vacancies instantly.

The resume library is a centralized, searchable database that archives all candidate resumes submitted across current and historical job postings. Recruiters can perform instant semantic searches across thousands of stored candidate profiles using keywords, skill tags, experience ranges, education levels, or past match scores to resurface talent for new openings without spending on external sourcing channels. Filter settings allow hiring teams to discover previously vetted applicants who were top contenders for past roles. For example, when opening a new DevOps vacancy, a recruiter can search the internal resume library of 1,200 past applicants, identify 15 high-matching candidates who applied 6 months prior, and re-engage them immediately, saving up to ,000 in external candidate sourcing costs and shortening time-to-fill by 50%. Semantic keyword search enables recruiters to query historic applicant pools by technical skills, past interview ratings, or past match scores to fill urgent roles fast.

SuperDriven AI provides built-in analytics dashboards that track key recruiting metrics across individual jobs, hiring departments, and overall organization pipelines. Hiring managers can inspect real-time reports on application volume, candidate match score distributions, stage conversion rates, average time-in-stage, and overall time-to-hire metrics. Visual graphs highlight pipeline bottlenecks and candidate drop-off points, allowing teams to optimize screening parameters and interview workflows. For example, a talent acquisition lead reviewing a quarterly recruiting report can analyze performance metrics across 12 open roles, discover that candidate drop-off occurs primarily during the 5-day technical assignment stage, and shorten the evaluation cycle to reduce overall candidate drop-off by 35%, improving candidate experience. Comprehensive reporting dashboards export actionable recruitment metrics, helping HR leaders measure sourcing channel effectiveness and recruiter productivity over time. Visual graphs showcase application conversion rates, time-to-hire benchmarks, and pipeline throughput to keep talent leaders informed.

SuperDriven AI automates candidate and interviewer engagement by delivering timed email and SMS notifications prior to scheduled interview sessions. Once an interview is confirmed, the system queues automated reminders configured for specific intervals, such as 24 hours and 1 hour before the scheduled start time. Reminders include session start times, calendar links, video meeting URLs, and interviewer details, ensuring all participants arrive prepared. For example, in a high-volume hiring campaign conducting 100 candidate interviews per month, implementing automated SMS and email reminders through SuperDriven AI reduces candidate interview no-show rates from 18% down to under 2%, preserving valuable interviewer time, eliminating calendar friction, and keeping hiring velocity strictly on schedule. Timed automated notifications deliver calendar event links and video interview room URLs, ensuring candidates arrive fully prepared for their scheduled interview sessions.

Yes, candidate notes and standardized evaluation scorecards are integrated into candidate profiles and accessible to authorized hiring team members. Panel interviewers can complete structured scorecards evaluating specific job competencies, assign numeric ratings, and attach detailed written feedback directly to applicant records. The platform aggregates panel feedback into a composite interview scorecard, allowing hiring managers to compare interviewer assessments side by side. For example, during a 4-person panel review for a Product Design candidate, all 4 scorecards populate in real time within a unified summary view, highlighting consensus ratings across design skills and communication while flagging conflicting feedback for discussion, streamlining final hiring debriefs and ensuring fair evaluation. Standardized candidate evaluation forms capture panel interviewer feedback across key competencies, enabling objective side-by-side candidate comparisons during hiring reviews. Consolidated scorecard summaries help hiring managers conduct objective debriefs, ensuring all panel feedback is reviewed fairly.

Yes. SuperDriven AI offers a 14-day free trial with no credit card required. After the trial, paid plans start at $49/month for Starter and $199/month for Growth, with Enterprise custom-priced. Pricing is based on active jobs and candidate screenings rather than per-seat licensing, so the whole team can collaborate without seat fees.

SuperDriven AI starts at $49/month for Starter and $199/month for Growth. Enterprise pricing is custom. Every paid plan includes a 14-day free trial, and annual billing saves 20%. Pricing is structured around monthly hiring volume—specifically active job postings and candidate screenings—rather than per-seat licensing fees.

Starter includes AI job description generation, resume screening and matching, candidate tracking, basic analytics, 3 active jobs, and 100 candidate screenings per month. Growth adds AI video interviews, automated interview scheduling, Slack and Google Calendar integrations, 10 active jobs, and 500 screenings per month. Enterprise adds custom hiring volume, API access, white-label workflows, advanced reporting, and dedicated onboarding.

Yes. Paid plans are available now, and new teams can start with a 14-day free trial. You can choose monthly or annual billing for Starter and Growth, and annual subscriptions save 20%.

Yes. SuperDriven AI offers tailored Enterprise plans with custom volume pricing designed specifically for recruitment agencies, staffing firms, and high-volume talent acquisition teams. The Enterprise plan includes custom monthly screening quotas, dedicated API access for custom integrations, white-label client portal workflows, multi-organization account structures, advanced reporting, and dedicated account management. Pricing is customized based on client volume and active job requisitions. For example, a recruiting agency managing hiring for 25 client companies and processing 5,000 candidate resumes per month can obtain a custom Enterprise contract with SLA guarantees, white-label candidate screening portals, and dedicated onboarding support tailored to their specific agency operations.

Yes. SuperDriven AI operates on flexible billing terms with no long-term contracts, lock-in commitments, or cancellation penalties. Account administrators can upgrade, downgrade, or cancel their subscription at any time directly through account settings with a single click. When a subscription is canceled, account access remains active through the end of the paid billing cycle, after which no further charges occur.

Yes. Starter includes 3 active jobs and 100 candidate screenings per month, Growth includes 10 active jobs and 500 candidate screenings per month, and Enterprise provides custom high-volume quotas. Pricing scales with hiring volume rather than seats, so teams can collaborate freely within the plan limits.

Yes. Support is available via in-app chat, contact form, and email at support@superdriven.in, with response times within 24 hours from Monday through Friday, 9:00 AM to 6:00 PM IST. Support covers account setup, screening configuration, custom workflow guidance, and technical troubleshooting.

Yes, SuperDriven AI protects all candidate and company data using enterprise-grade security protocols and encryption standards. All data transmitted between user browsers, application servers, and AI processing nodes is encrypted in transit using Transport Layer Security (TLS 1.3), while stored candidate profiles and resume files are encrypted at rest using 256-bit Advanced Encryption Standard (AES-256) encryption. Strict role-based access controls and isolated database schemas ensure tenant data remains strictly segregated. For example, applicant resumes uploaded to SuperDriven AI undergo automated vulnerability scanning, are stored in encrypted cloud storage environments, and are accessible only to authorized hiring team members with verified authentication credentials, maintaining complete data confidentiality across all recruiting operations. Enterprise-grade data protection protocols, encrypted cloud storage, and strict role-based access controls guarantee candidate and company data remains fully confidential.

SuperDriven AI is engineered with privacy-by-design principles to support compliance with global data protection regulations, including GDPR, CCPA, and regional privacy laws. The platform collects only necessary applicant information required for candidate evaluation, provides transparent data processing notices, and supports candidate rights to access, rectify, or delete personal data upon request. Data retention rules automatically purge or anonymize candidate files when no active hiring need exists. For example, an applicant applying from the European Union can submit a formal data deletion request to support@superdriven.in, and SuperDriven AI will purge all associated resume files, video recordings, and evaluation records from active databases and backup logs within 30 days, delivering certified privacy compliance. Built-in privacy features support candidate data deletion requests, transparent data processing, and compliant applicant tracking across global regulatory jurisdictions.

Applicant data is hosted in secure, enterprise-grade cloud infrastructure equipped with redundant architecture, strict network access controls, and 24/7 automated monitoring. Primary cloud infrastructure provides 99.5% operational uptime guarantees and continuous automated database backups. Storage environments utilize automated failover configurations across isolated availability zones to protect against hardware failures or disruptions. For example, candidate resumes and evaluation metrics stored on SuperDriven AI are backed up every 6 hours to secure secondary storage locations, ensuring continuous data availability, disaster recovery resilience, and seamless service continuity for all active hiring workflows across recruitment teams. Secure multi-zone storage ensures candidate files and application history remain protected against hardware disruptions while enforcing strict tenant isolation.

SuperDriven AI implements end-to-end industry-standard encryption protocols across all stored and transmitted information. Data in transit between client browsers, API endpoints, and internal microservices is encrypted using TLS 1.3 protocols with strong cryptographic cipher suites. Data at rest—including candidate resume PDFs, video interview recordings, evaluation scorecards, and user credentials—is encrypted using AES-256 bit encryption keys managed through secure key management services. For example, when a candidate uploads a resume file, the document is immediately encrypted prior to cloud disk storage, ensuring that even in the unlikely event of physical media theft, unencrypted candidate records cannot be extracted or read by unauthorized parties. End-to-end encryption protocols protect resume files, candidate scorecards, and user credentials both during transmission and while stored in cloud database storage. Cryptographic keys managed through key management services prevent unencrypted file extraction or unauthorized data access.

No, SuperDriven AI strictly enforces data isolation and never uses customer candidate resumes, application data, or evaluation scorecards to train public or third-party artificial intelligence models. Candidate records remain the exclusive property of your organization and are processed solely to deliver resume screening, scoring, and matching services within your private workspace. Machine learning models operate within isolated enterprise execution boundaries. For example, when your team uploads 1,000 candidate resumes for screening, that applicant data is never submitted to public LLM training sets or shared with external AI vendors, guaranteeing complete data confidentiality and competitive privacy for your proprietary hiring workflows and applicant records. Strict customer data isolation guarantees applicant resumes and evaluation scorecards are never shared with third-party AI models or public machine learning datasets. Isolated private workspace boundaries ensure your applicant records remain confidential and secure from external AI access.

SuperDriven AI guarantees a minimum service uptime of 99.5% per calendar month across all core platform services, including web dashboard access, resume parsing APIs, candidate scoring engines, and interview scheduling workflows. Our Service Level Agreement (SLA) outlines structured support response times based on issue severity: critical outages (P1) receive a guaranteed 2-hour initial response target, while general inquiries receive support within 24 hours. For example, in the event of a P1 system availability incident, our automated monitoring systems trigger real-time engineering alerts, initiate automated incident response protocols, and provide live status updates on our public status page until full service restoration is achieved. Guaranteed 99.5% service uptime and structured incident response SLA timelines ensure your recruiting team maintains continuous, uninterrupted hiring workflows. System monitoring systems track server health around the clock, delivering rapid resolution for critical availability issues.

The Enterprise plan provides advanced security, compliance, and administrative governance features tailored for enterprise organizations and regulated recruiting environments. Enterprise accounts include Single Sign-On (SSO) authentication via SAML 2.0 and OpenID Connect, custom Role-Based Access Control (RBAC) permissions, audit logging of user activity, dedicated database instances, custom data retention policies, and white-label candidate portals. For example, an enterprise customer requiring strict compliance governance can mandate Okta SSO login for all 50 internal recruiters, enforce 90-day automatic candidate resume deletion, and export complete immutable security audit logs tracking every recruiter interaction with candidate data, fulfilling regulatory audit compliance effortlessly. Enterprise security options include Single Sign-On integration, custom data retention rules, audit logging, and dedicated account support for regulated recruiting teams. Administrative controls enable corporate security teams to enforce compliance policies, user access rules, and audit logging standards.

Candidates can request the complete deletion of their personal data and application history by submitting a request directly to support@superdriven.in with the subject line "Data Deletion Request". Upon receipt, SuperDriven AI verifies the applicant's identity and processes the request within 30 days, permanently purging all candidate profile data, uploaded resume documents, video interview recordings, match scores, and evaluation notes from active production databases and backup archives. For example, when an applicant exercises their GDPR right to be forgotten, SuperDriven AI executes a data wipe script across all database tables and cloud storage buckets, issuing a formal confirmation certificate to the candidate upon completion of the deletion process. Automated data wipe workflows purge candidate resume files, interview transcripts, and match scores from production databases within 30 days of receiving a request.