Bias decides who gets promoted
Unstructured reviews favour the loudest voice in the room, not the strongest contributor.
Business impact: Your best performers stall and leave.
AI bias detection for performance reviews
Catch bias before it decides someone's career.
TalentSpotify helps growing companies run fairer performance reviews with TARA, an AI voice agent that captures review conversations, flags bias signals, and turns goals, feedback, and recognition into evidence.
- Fairness-scores every review
- 60-second spoken reviews
- OKRs set & updated by TARA
Built for India mid-market teams. UAE/GCC-ready.
Or calculate your ROI →TARA
AI voice agent · listening
Fairness score
No signals above your threshold
OKR updated from this conversation
8 / 20 accounts
- STPI Seed Funded
- Best Engagement Product · National HR Awards 2024
- Startup of the Year · HackerNoon 2024
- Top Karnataka Startup · EIILM 2025
Trusted by mid-market HR teams across India & GCC
- India-first AI performance platform
- Multilingual review conversations
- DPDPA-aware review workflows
The problem
Why performance reviews break as companies grow
You're too big for spreadsheets and gut feel, too lean for an enterprise HR suite. That gap is where good people get reviewed badly.
Review cycles drag for weeks
Managers postpone write-ups and HR chases forms until the feedback is already stale.
Business impact: Decisions slip and trust in the process erodes.
OKRs live in silos
Goals are set in slide decks in January and disconnected from the work by March.
Business impact: Teams optimise the wrong things all quarter.
Recognition arrives too late
Good work gets noticed at appraisal time, months after it actually happened.
Business impact: Engagement and retention quietly slip.
HR lacks evidence during disputes
When a rating is challenged, there is no record of what was actually said or agreed.
Business impact: Every disagreement becomes a fairness and legal risk.
TARA · AI voice agent
Meet TARA. It turns performance conversations into fair, evidence-backed decisions.
From voice-led goal setting to post-review fairness analysis, TARA helps HR create a clear evidence trail across the performance cycle.
TARA sets the goals. The employee just talks.
TARA opens the conversation in whichever language the employee is comfortable in. It already knows their job description — so it drafts the objectives, key results and action plan, and creates them in the system automatically. No one has to learn how to “write good OKRs.”
Goal-setting conversation
Created automatically from the JD
Objective · Ship reliable releases every sprint
- KR1 · Cut escaped defects to <2 per release
- KR2 · Automate 80% of regression suite
Action plan · 4 steps drafted and assigned
- Time per review
- 60 sec
- Manager satisfaction
- 92%
- Human oversight
- Always
The platform
Three modules. One source of truth for performance.
Each module works alone. Together — with tasks, attendance and leave built in — they connect goals, reviews and recognition into one fair system of record.
Perform
Reviews that finish on time and hold up to scrutiny.
- Review cycles & calibration
- Fairness scoring on every review
- Promotion & comp-ready reports
Align
Company goals your teams can actually see and move.
- Weighted OKRs with quarterly tracking & approvals
- TARA drafts & updates OKRs in conversation
- Goal-to-review traceability
Recognise
Recognition that reaches people before resignation letters do.
- Reward points, redemption & leaderboards
- Engagement pulse surveys
- Retention risk signals
Bias detection
Fairness you can measure, not promise.
Most platforms talk about fairness in their values page. TalentSpotify puts a number on it — for every single review.
- Every review scored against bias thresholds your company defines
- Gender, halo and recency bias flagged with the exact phrase
- Suggested fairer rewrites managers can accept in one click
- Calibration dashboards HR can defend in a promotion committee
Signals, not verdicts — DPDP-aligned by design. Every session starts with recorded consent. Every flag shows its reasoning and requires human review. Voice recordings auto-delete in 7 days; transcripts sit in an encrypted audit log for 3 years.
Get a sample fairness report
We'll run one of your (anonymised) reviews through TARA in the demo.
Fairness report · Last 2 cycles
Gender bias in reviews — before12%
After 2 cycles on TalentSpotify2%
Flagged phrase
“She's great but can be emotional under pressure”
Rewrite: “Maintains delivery under pressure; escalations could be earlier”
Result from a 240-employee customer · verified across 2+ review cycles
OKRs + Recognition
Goals people can see. Wins people can feel.
Alignment and recognition run in the same place reviews happen — so performance conversations always have live context.
Live OKR cascade
Company
Grow ARR 40% with NRR above 110%
72%
Team · Sales
Close 18 mid-market logos this quarter
64%
Individual · Arjun
Build GCC pipeline of 25 qualified accounts
80%
85% adoption in Q1 — one customer cut their OKR rollout from 4 months to 2 weeks.
Recognition leaderboard
Meera — 1,240 pts
Closed the quarter's biggest renewal
Customer FirstDev team — 980 pts
Shipped payroll integration 2 weeks early
Ship ItRavi — 860 pts
Mentored 3 new joiners through onboarding
Grow Together
Recognition tied to company values feeds engagement scores — customers report a 70% engagement lift.
Customer proof
Results from real review cycles, not just HR dashboards
What TalentSpotify customers see after their first full performance cycle.
58%
shorter review cycles
“Reviews used to take us six weeks of chasing. Now managers speak to TARA and the cycle closes in days — with better write-ups than we ever got from forms.”
91.1%
core team retention, distributed field workforce
“Our extension officers update OKRs from the field in their own language. Leadership finally sees ground-level progress without a single WhatsApp message.”
2 wks
OKR rollout (down from 4 months)
“We'd failed at OKRs twice with spreadsheets. TalentSpotify made goals visible to everyone, and our reviews finally measure against them.”
Why it matters
Your managers decide raises, promotions and ratings in a 30-minute conversation — once a year. In most companies, that decision is made from memory, not evidence.
The result is predictable. Your best performer, whose biggest win happened eight months ago, gets a 3. Your quieter employee, who delivered consistently but didn't advocate loudly, gets passed over. Your HR team signs off on ratings they can't defend — because nothing was captured during the conversation itself.
TalentSpotify fixes this at the source — inside the review conversation. TARA, our AI voice agent, joins manager-employee review conversations in real time, captures spoken evidence, and flags 14 biases across a named taxonomy — including recency bias, halo effect, and language-based scoring gaps — before ratings are finalised.
- 30%
- shorter review cycles
- 3 in 10
- reviews carry a detectable bias instance
- 14
- biases flagged before ratings finalise
Alongside TARA, TalentSpotify connects OKRs, KPIs, rewards and recognition in one platform — in English and Indian regional languages — so every employee is measured on contribution, not manager memory.
If your next review cycle is within 90 days, the right time to see this is now.
Book a 30-minute demo
We'll show you exactly what TARA would catch in your current review process.
Who it's for
One platform, four people it has to work for
CHROs & HR Heads
Run defensible, on-time review cycles without chasing anyone.
- Fairness and completion dashboards
- Audit-ready calibration records
Founders & CEOs
See whether the company is actually moving on its goals.
- Live OKR execution view
- Retention risk before it's a resignation
Managers
Give better feedback in a fraction of the time.
- Speak reviews to TARA in 60 seconds
- Bias flags before anything ships
Employees
Get rated on work, not on who talks the loudest.
- Transparent, goal-linked ratings
- Recognition that's visible company-wide
Responsible AI
Built for responsible AI in performance reviews
The scariest part of AI in HR is letting a model judge people. TalentSpotify is built so it never does — the AI assists, your people decide.
Consent before recording
Every review session starts with explicit employee consent before any conversation is captured.
Human-in-the-loop decisions
TARA surfaces signals; managers and HR make every final rating and decision.
HR override & audit trail
HR can override or dismiss any flag, and every override is logged for audit.
Flags are recommendations
Bias flags are guidance to improve a review — never automated verdicts on a person.
Data-retention controls
Configurable retention windows — voice recordings can auto-delete while transcripts stay in an audit log.
Encryption-ready architecture
AES-256 at rest, TLS 1.3 in transit, role-based access across the platform.
DPDPA-aware workflows
Consent, purpose, and retention designed around India's data protection expectations.
UAE/GCC governance-ready
Built to extend to GCC data-governance needs for companies operating across regions.
We describe our data-handling practices in plain language and avoid unverified certification claims. Talk to us for current compliance documentation.
Pricing
Start where you already are.
Most teams add TARA to the HRMS they already run. Per-employee pricing, in INR. No rip-and-replace.
We'll show your team's yearly total on each plan.
TARA Standalone
Add fairness to the system you already use.
₹99/ employee / month
billed annually · ₹125/mo billed monthly
≈ ₹3,56,400/year for your team
Works alongside your existing HRMS — no rip-and-replace.
- TARA voice agent runs OKR setting, check-ins & bias-detected reviews
- Flags bias signals live, before the rating is locked
- Fairness score + evidence trail on every review
- Includes 150 voice minutes per employee per year for review-cycle conversations and check-ins, then ₹7/min
- Minimum 50 employees
TARA on TalentSpotify
Run your whole performance cycle in one place.
₹149/ employee / month
billed annually · ₹185/mo billed monthly
≈ ₹5,36,400/year for your team
- Everything in Platform
- TARA AI voice reviews, OKR setting & check-ins
- Calibration & fairness dashboards
- Includes 150 voice minutes per employee per year for review-cycle conversations and check-ins, then ₹7/min
Platform
Run fair, on-time reviews.
₹76/ employee / month
billed annually · ₹95/mo billed monthly
≈ ₹2,73,600/year for your team
- OKR & goal setting
- Performance reviews
- Fairness scoring
- Recognition feed
- Email & WhatsApp support
500+ employees or a custom HRMS integration? Contact Sales for GCC / enterprise pricing.
See what it saves you
What an unfair review actually costs you
The plans above show what you pay. This shows what you get back — every number traces to an assumption you can see and edit, and we lead with the value you're certain to recover.
Your numbers
Drag the sliders — every result updates live.
300
₹7,00,000
15%
2
That's 2 of your roughly 45 annual exits.
How much of that bias does TARA realistically reduce?
Independent studies put AI-assisted bias reduction around a third.
Payback period
Pays for itself in ~3.5 months.
Your TARA investment
₹3,56,400 / year
₹99 per employee / month, billed annually.
Return on investment
3.6×
recoverable value vs. what TARA costs.
Recoverable value / year
₹12,90,000
- Manager time recovered (certain floor)
- ₹10,80,000
- Bias-driven loss reduced (upside, at 20%)
- ₹2,10,000
TARA runs 6 performance conversations per employee a year. The manager hours that gives back — plus reducing biased-exit losses by 20% — recovers ₹12,90,000, about 3.6× what TARA costs.
Your current annual exposure from biased reviews: ₹10,50,000.
Start a pilot
Try TARA on one team — 50 employees, one 3-month performance period (~₹18,750). Keep your current system.
- DPDP consent-first by design
- AES-256 encryption at rest
- TLS 1.3 in transit
- Hosted on AWS Mumbai
- Role-based access controls
- 3-year encrypted audit trail
FAQ
Questions HR and founders ask us
Straight answers for every buyer — leadership, HR, IT, finance, and the managers and employees who use it.
What TalentSpotify is
TalentSpotify is a performance and fairness layer for companies that already run an HRMS. It helps teams run better reviews, capture stronger evidence, reduce bias, and improve manager decisions before ratings are shared — without replacing the system you already use.
TalentSpotify is built for companies with 150+ employees — from mid-market to enterprise — that already have an HRMS and want fairer, more consistent performance reviews. It is best for HR leaders, founders, and managers who want better review quality without changing their current system.
TARA is TalentSpotify's AI voice assistant for performance conversations. It runs review check-ins and goal conversations by voice in English and major Indian languages — including Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, and Odia, with the architecture to support 22 Indian languages — then helps capture evidence, surface bias signals, and keep goals and feedback in one structured workflow.
Most HRMS tools store the review process but do not improve the quality of the conversation itself. TalentSpotify adds voice-based review support, fairness scoring, bias detection, and an evidence trail on top of the system you already use — so you keep your HRMS and get better, fairer reviews from it.
TARA, bias & fairness
TARA analyzes the conversation and review notes against its bias taxonomy, alongside separate checks for harm-tone language and feedback quality. It produces a fairness signal with a plain-language explanation — what was detected, where, and why — that HR and the manager see before the rating is finalized. Every output is a signal, not a verdict.
TARA uses a defined 14-bias taxonomy across three groups. Cognitive biases: recency, primacy, halo, horn, anchoring, confirmation, attribution, and central tendency. Social biases: gender, age, similarity/affinity, and hierarchical/power. Calibration biases: leniency and severity. Each detection comes with a quote, an explanation, and a confidence level — never an automatic decision. Separately, and not scored as bias, TARA also tracks harm-tone language through a dedicated safety lane and feedback-quality signals such as evidence gaps, KPI-vs-feedback mismatches, and vague phrasing.
TARA supports the conversation live, but fairness analysis runs on the completed conversation, before the rating is locked — no one is scored mid-conversation. This lets HR and managers review fairness signals without interrupting the discussion itself.
TARA highlights the issue and shows what may need attention — such as missing examples, over-reliance on recent events, unsupported ratings, or one-sided feedback. The manager can then add evidence, revise the feedback, or keep the rating with a recorded justification before it is shared or finalized. Everything is captured in an auditable trail.
No. Managers and HR stay fully in control of the final rating. TARA surfaces bias risks, missing evidence, and weak feedback so the decision is better-informed — it is a review-quality and fairness layer, not an automated decision-maker. A human is always in the loop.
Trust, data & access
Access is role-based. HR and other authorized roles can view TARA's reports; all employee data is encrypted in storage. HR controls who can see what.
Employee data is protected with encryption, role-based access, and audit logs, and is not used to train third-party AI models. HR teams control who can view what, and retention settings can be aligned to your company policy.
Yes. Employees are informed and asked for consent before any review conversation is recorded or analyzed. TalentSpotify supports consent-aware workflows and configurable privacy controls, with notice aligned to India's DPDP Act.
Yes. TalentSpotify is designed to sit alongside your current HRMS rather than replace it. It fits into existing review workflows and works with your internal systems and role-based access controls.
Pilot, proof & pricing
Most teams start with one department or one review cycle and go live in a few weeks. The best way to begin is a pilot — one review cycle, one business unit, or one manager group — so you can validate adoption, review quality, and ROI before a wider rollout.
Companies can track review completion, OKR alignment, quality of manager feedback, recognition activity, bias signals, HR review effort, and employee participation. During a pilot, these metrics help HR decide whether to scale the rollout.
Pricing depends on company size, product setup, and voice usage. For teams with 150+ employees, pricing is typically structured per employee, with options for standalone TARA, full-platform use, and enterprise deployment. Pilots are paid at a smaller fee — and if you move to a full contract, that pilot fee is credited toward it.
See a fairer review cycle in 30 minutes.
We'll walk through your current review process, show TARA handle a real conversation, and leave you with a fairness benchmark for your company size. No deck, no pressure.
- Watch TARA turn a spoken review into a scored write-up
- See fairness flags on real (anonymised) review language
- Get rollout and pricing mapped to your headcount