AI-powered hiring intelligence that scores candidates, predicts retention risk, and learns from every departure. Built on your own data.
Trusted by enterprise hiring teams
The modern talent lifecycle is broken. Companies spend millions sourcing and interviewing, but have no intelligence layer predicting retention or analyzing why top performers churn.
Every bad hire costs $26K+ in direct expenses — recruiting, onboarding, training, lost productivity. The real cost is far higher when you factor in team disruption and opportunity cost.
Each module works independently — and together they create a compounding intelligence loop.
Build A-Player profiles from your own top performers. Score every candidate against the DNA of success in your company — not industry averages.
Real-time risk scoring across your entire workforce. Surface at-risk employees before they resign — giving you weeks, not hours, to act.
Analyze the pre-hire signals of every employee who left. Discover what you missed — and feed those patterns back into your DNA Engine.
Think of it like this: your best employees share invisible patterns — where they came from, how they scored on cultural fit, what interviewers wrote in their notes. These patterns are buried in your data. Echoohire surfaces them and turns them into a role-specific profile we call A-Player DNA.
Imagine two candidates with identical resumes. One thrives, the other leaves in 9 months. The difference? A-Player DNA — the combination of signals that your company's own history says predicts success. Not a generic benchmark. Not an industry average. Your company's unique fingerprint for great hires.
Import employee records, performance data, and historical hires via CSV or API.
The engine identifies what makes your top performers succeed — unique to your company.
Score new candidates against your DNA. Monitor retention risk across your workforce in real-time.
Every hire and departure feeds back into the engine, making each decision sharper than the last.
Then the cycle repeats — each pass making the next hiring decision more accurate than the last.
Same round, same panel — the model inverts the ranking, and the data proves it right. Cultural fit and source channel matter more than interview performance.
See the true quality of your hiring pipeline, not just headcount. Know if the people joining today will still be here in 18 months.
Move from reporting on what happened to predicting what will happen — and acting before a problem becomes a resignation.
Bring objectivity to decisions that have always relied on intuition. Backed by patterns from your own top performers.
Validated across 5,000+ hire records in BFSI, FMCG, and IT verticals.
By hiring the right people the first time — not the best interviewers.
A single prevented bad hire saves $26K+. Most clients recover cost in the first 2 months.
The model identifies top performers at nearly double the rate of panel intuition alone (33%).
Every tier gives you the full intelligence loop. The difference is scale.
90-day pilot for teams getting started.
For teams hiring and managing at scale.
Custom deployment for complex organisations.
No generic benchmarks. No black-box scores. Just your own data, turned into intelligence that compounds with every hire. Reach out and we'll get back to you within 24 hours.