Build Compensation Strategies With Live Market Evidence

CompSense turns compensation, skills, employer, and labor market signals into one live intelligence layer so every salary decision is competitive, defensible, and market aligned.

Two professionals reviewing compensation documents and data together at a desk

Act on evidence, not real assumptions.

Ditch static surveys and spreadsheets. Get one live source of compensation truth for hiring, comp cycles, and workforce planning:

Benchmark live market pay

Pinpoint what drives every salary

Defend every decision, instantly

Price the role before you post it.. 

See what the market pays by title, experience, skill, geography and employer archetype before the req goes live.

Live benchmarks, always current

Percentile pay ranges (P25–P90)

Built-in skill & geo differentials

Market Pay Distribution dashboard for Generative AI Engineer in Bengaluru highlighting around median band of 18.3L to 21.1L with 95 profiles and P50 at 20L
Employer Benchmarking dashboard for Generative AI Engineer in Bengaluru showing top employers in pay band including Agilisium, GlowTouch Technologies, INFOSOL TECHNOSOL, Neurapses Technologies and AtkinsRealis
Title Benchmarking dashboard for Generative AI Engineer in Bengaluru showing top titles including Senior Machine Learning Engineer, Agentic AI Engineer and Generative AI and Agentic AI Engineer
Skill Benchmarking dashboard for Generative AI Engineer in Bengaluru showing top role-fit skills including Gemini, MATLAB, Game Theory and Jmp by concentration in pay band

Source intelligence. Shape compensation.

Turn live market benchmarks into compensation strategies that balance competitiveness, equity and business goals.

Benchmark against real competitors

Quantify market premiums

Build evidence-backed pay strategies

Market Compensation by Employer Archetype for Generative AI Engineer in Bengaluru showing IT Services and Consulting P25 to P90 range of 13L to 35L compared across employer archetypes

Build progression frameworks that scale with your workforce.

Design compensation progression based on market data, capability and career architecture — not outdated pay bands.

Benchmark pay by experience and capability

Design market-aligned progression frameworks

Standardise promotion and pay decisions

Pay Progression Across Tenure chart for Generative AI Engineer in Bengaluru showing salary growth from entry level up to principal with increases of 67%, 46%, 37% and 24% across bands

Build skills-based pay using live market signals

Identify the skills commanding compensation premiums, measure their market value, and design pay strategies that reflect real demand.

Benchmark skills by market value

Quantify compensation premiums

Align pay with in-demand skills

Skill Cluster Salary Ranges dashboard for Generative AI Engineer in Bengaluru showing P25 to P90 salary range for Generative AI, LLM, NLP, Deep Learning and Python skill cluster

Question? Get market answers.

Turn compensation intelligence into instant decisions. Ask CompSense.ai about salary benchmarks, employer premiums, hiring budgets, skill premiums or market trends and receive explainable answers grounded in live market intelligence.

Natural language search

Explainable compensation insights

Instant market recommendations

Compsense AI salary intelligence interface with natural language queries for AI Engineer and Data Engineering salary benchmarks by location with filters for GenAI, LLMOps, Cloud and Customer Integration

Benchmarking

Employer Intelligence

Career Architecture

Skills-based Pay

Compsense.ai

Built for every leader shaping compensation decisions

Team of four professionals reviewing data on a laptop in a meeting room
Senior business leaders discussing workforce strategy in a boardroom meeting
Team of professionals attending a presentation in a corporate boardroom
Two professionals reviewing compensation documents and data together at a desk
HR professional presenting ideas during a team meeting with sticky note planning board in background
Two senior professionals reviewing hiring data and charts in a meeting

Why leading enterprises choose HireSense.ai

"HireSense.ai is a trusted partner for our GCC and IT talent strategy. Their clarity on where the market's headed helps us plan with precision. Value at every stage of hiring."

 Kapil Joshi

CEO — Quess IT Staffing

Kapil Joshi CEO at Quess IT Staffing

“HireSense.ai’s benchmarking data keeps our offers in India competitive & our decisions confident. A partnership that's genuinely strengthened our hiring.”

Aditya Mishra

CEO — CIEL HR

Aditya Mishra CEO at CIEL HR

"HireSense.ai's JD intelligence sharpens our hiring approach. Practical insights, data we can act on immediately."

Shailesh Singh

Regional Leader & VP – APAC – Cielo Talent

Shailesh Singh Regional Leader and VP APAC at Cielo Talent

"JD insights shape hiring at our GCC Tech Centre. Their data helps us craft roles that reflect the market, and it shows in candidate quality."

 Niloy Baksh

Head of TA — United Airlines, GCC Tech Centre

Niloy Baksh Head of TA at United Airlines GCC Tech Centre

“HireSense.ai has been a game-changer for our research and market intelligence - delivering in-depth, accurate reports at speed, and giving our leadership the clarity to make sharp calls in a fast-moving market.”

Sunil Nehra

Chief Executive Officer - FirstMeridian

Sunil Nehra Chief Executive Officer at FirstMeridian

"HireSense.ai is now integral to our talent function, giving us a clear, reliable view of ground reality that strengthens every client conversation. Real value, consistently delivered."

Sunil C

India Country Manager — Adecco

Sunil C India Country Manager at Adecco

"HireSense.ai's benchmarking drives our compensation strategy. Accurate, fast data. More confident conversations, with candidates and internally. Real value, consistently delivered."

Smitha S P

TA Head — CareStack

Smitha S P TA Head at CareStack

Make every compensation decision with market evidence.

Build compensation strategies that keep pace with the market backed by live market signals.

HR professional reviewing documents during a candidate meeting in a modern office

65M+ Profiles

Decision-Grade Data

Things people ask before they say yes

Don't see your question, answered? Our team can provide personalized answers and guidance.

Contact Us

How accurate is your talent intelligence?

Accuracy is engineered into our data architecture. Multi-source market data is cleaned, deduplicated and mapped to proprietary taxonomies and ontologies covering roles, skills, capabilities, employers, seniority and locations. Context and proximity graphs then connect related signals, enabling more precise comparisons and inferences. Every insight is further strengthened through historical calibration, confidence scoring and expert talent-research validation.

Do you have historical data?

Yes. We maintain a historical talent intelligence graph that connects demand, supply, compensation, roles, skills, employers, sectors and locations over time. This enables us to track hiring momentum, skill shifts, emerging roles, capability build-outs and geographic movement—turning market snapshots into trends, forecasts and decision-ready intelligence.

Is your data AI-generated?

No. Our intelligence is built on real, multi-source talent-market data. A proprietary, custom-built, AI-orchestrated data infrastructure cleans and standardizes records, enriches context, and tags and classifies market signals at scale. AI makes the underlying data more consistent, connected and decision-ready—it does not create the numbers.

We already use a talent intelligence platform. Why should we use you?

Most talent intelligence platforms are designed to describe the market. We are built to help you decide.

Our practitioner- and consulting-led approach places every insight within your specific operating context—your roles, locations, competitors, hiring model and business priorities. Each output combines decision-grade evidence, confidence scoring and clear implications, making it easier to interpret and act on.

Our use cases are rooted in how talent decisions are actually made—from workforce and location strategy to hiring feasibility, compensation, competitive intelligence and fulfilment planning. The result is not more data, but greater confidence in the decision. 

What do we offer that Big Four firms cannot?

Decision-grade talent intelligence is a specialised data and research discipline—not simply a consulting exercise. It requires billions of data points across multiple sources and dimensions, a custom-built AI orchestration layer, contextual talent taxonomies and ontologies, and rigorously tested insight frameworks.

We combine this proprietary infrastructure with years of talent research consulting and a deep understanding of how workforce, hiring, location and compensation decisions are actually made. General advisory firms can provide broad strategic perspectives; we provide the specialist infrastructure, domain depth and practitioner context required to convert complex talent-market data into accurate, decision-ready intelligence.