Faster Candidate Processing
Reduced Time-to-Hire
Agencies Using Platform
Emerge50 Winner
Industry
HR Tech / Recruitment SaaS
Company Stage
Startup → Award Winner
Timeline
2022 - Present
Team Size
5 → 10 Engineers
Outcome
NASSCOM Emerge50 Recognition
RippleHire was founded by recruitment industry veterans who were frustrated with the manual, time-consuming nature of candidate processing. Recruiters were spending 4–6 hours daily parsing resumes, entering candidate data, matching profiles to jobs, and managing compliance documents.
The founders envisioned an AI-powered platform that would automate the busywork of resume parsing, data entry, and candidate matching, so recruiters could focus on building relationships. They needed a tech partner who understood both AI/ML and recruitment workflows.
What started as a platform for their own agency became a white-label SaaS for 500+ recruitment agencies across India. The platform’s innovation earned RippleHire a spot in NASSCOM’s prestigious Emerge50 cohort of India’s most promising startups.
"Their team has showcased incredible professionalism right from the pre-commencement stage of our project. V2STech Solutions Pvt Ltd has successfully delivered a working product with no issues or bugs. The team leverages their knowledge and technical expertise to deliver top-notch outputs in a timely manner. Moreover, they follow an organized process, focus on quality, and stay open to new ideas.”
- Praveen Pillai- VP of Technology, RippleHire
Parse resumes in 50+ formats (PDF, DOCX, scanned images, even handwritten), extract structured data with 95%+ accuracy, handle Indian formats, run OCR for scans, and process 1000+ documents/hour at scale.
Match candidates to jobs using NLP + semantic understanding, build skills taxonomy (React.js = ReactJS), generate explainable match scores, and continuously learn from recruiter feedback.
Serve 500+ agencies on a single platform with strict data isolation, per-agency workflows, branding customization, pricing tiers, and configurable features per client.
Integrate with 50+ Indian job boards, manage two-way sync, handle API rate limits, detect duplicates, and maintain reliability despite frequent API changes or missing APIs.
Recruiters won’t trust AI after a few bad parses. RippleHire’s success depended on accuracy, explainable matching, and seamless integrations. The platform had to be fast, scalable, and reliable enough to become a daily workflow tool-not a flashy demo.
We combined AI/ML engineering with deep recruitment workflow understanding to build automation recruiters actually trusted.
Before building the platform, we trained AI models on Indian recruitment data. We collected 50,000 anonymized resumes and job data from RippleHire and partner agencies.
Built MVP with AI resume parsing, candidate database, and basic matching. Launched with RippleHire plus 10 beta agencies.
After MVP success, rapid growth through referrals. We enhanced AI accuracy, added job board integrations, and earned NASSCOM Emerge50 recognition.
Scaled to 60+ agencies, added 15 job board integrations, improved parsing accuracy to 95%, launched candidate mobile app, and added video interview integration.
Reached 200+ agencies, processed 100K+ resumes/month, scaled infrastructure for 10X growth, and won NASSCOM Emerge50 (top 50 startups in India).
After NASSCOM, enterprise staffing firms approached RippleHire. We built advanced analytics, APIs, compliance modules, and scaled to 500+ agencies.
The technology choices that enabled RippleHire to process millions of candidate profiles and deliver real-time matching
RippleHire integrated with 50+ job boards through APIs and custom scrapers. We built reliability layers for rate limits, failures, and duplicates across sources.
API integrations where possible, scrapers where APIs didn’t exist.
Applications returned into RippleHire automatically, keeping recruiters up-to-date.
Same candidate from multiple boards detected and merged cleanly.
Candidates in Database
A national-scale profile database enabling faster hiring outcomes
Resumes/Month Processed
AI engine scaled to process high-volume recruiting workflows
More Monthly Placements
Recruiters spent less time on admin and more time placing candidates
Collected 50K resumes, trained NLP models for Indian formats, built OCR pipeline, achieved 92% accuracy
Resume parsing engine, candidate database, basic matching, launched with 10 beta agencies
Scaled from 10 → 60 agencies, 15 job board integrations, 95% parsing accuracy, candidate mobile app
Scaled from 60 → 200 agencies, processed 100K resumes/month, won NASSCOM Emerge50, media coverage boost
Scaled from 200 → 500 agencies, added enterprise analytics, APIs, compliance module, market leadership established
RippleHire scaled from an internal agency tool to an award-winning recruitment SaaS used by 500+ agencies. Let’s discuss how we can build your next breakout platform.
Trusted by founders and technology leaders across UK, USA, India and global markets.
