External Labor Market Intelligence

Know where talent is. See where demand is going. 

HireSense continuously analyzes talent demand, supply, skills, workforce movement, and competitive activity so every hiring, expansion, and workforce decision reflects where the market stands today, not where it stood last quarter.

Supply Overview map for Forward Deployed Engineer across India showing 4,550 matched candidates, 62 average days to hire, active supply of 484 profiles and passive supply of 1,716 profiles
Two professionals in a meeting at a desk

One intelligence platform for every talent decision.

Bring together talent supply, demand, skills, workforce movement, compensation, and competitive intelligence into one decision layer for hiring, workforce planning, and expansion.:

One unified view of the external labor market

AI-powered analysis and recommendations

Decision-grade intelligence for enterprise teams

What Hiresense helps you do

Know whether the talent you need actually exists 

Understand the size, depth and composition of talent pools before launching a hiring plan.

Validate talent availability

Benchmark hiring competition

Forecast hiring feasibility

Talent Supply vs Market Demand dashboard for Machine Learning Engineer in Bengaluru showing 6,850 active candidates, 2,135 open roles and supply demand ratio of 3.2 to 1
Competitor Benchmarking dashboard for Machine Learning Engineer in Bengaluru showing Amazon 176, Google 168, Microsoft 157 and TCS 148 active roles
Location Based Talent Supply dashboard for Machine Learning Engineer showing open roles across India with Bengaluru 740, Hyderabad 520, Pune 380 and Chennai 210

See where hiring demand is rising.

Track demand by role, industry, company and geography to understand where competition is increasing.

 Monitor hiring demand

Compare market competition

Identify hiring trends

Skill supply funnel for Machine Learning Engineer showing 600 candidates with Python, SQL and Docker narrowing to 120 strict matches with Python, TensorFlow and MLOps
Skills and Role Intelligence dashboard showing Python at 97% high adoption, TensorFlow at 81%, PyTorch at 52% moderate and MLOps at 24% limited adoption

Find the locations that give you the best hiring conditions.

Compare talent availability, relocation readiness, hiring demand and workforce movement across cities before expanding.

Compare talent markets

Identify relocation-ready talent pools

Evaluate expansion opportunities 

Location Based Talent Supply map showing Machine Learning Engineer candidates across India with Pune 819, Mumbai 740, Hyderabad 728, Delhi NCR 546 and Chennai 364
Talent Mobility Sankey chart showing 270 relocation-ready candidates with feeder market breakdown across four source cities at 35%, 28%, 19% and 18%
Relocation readiness donut chart showing 147 relocation-ready candidates at 42% and 203 location-based candidates at 58%

Stay ahead of competitor moves.

Monitor hiring momentum across competitors to understand where demand is increasing before talent markets become more competitive.

Benchmark competitor hiring

Detect hiring momentum

Compare demand across employers 

Demand Composition dashboard showing total demand of 38,000 by experience band with 5 to 8 years at 34% and top competing titles including Senior Java Developer, Lead Engineer and Java Architect
Competitor demand trend chart showing hiring activity classified as low, moderate and high across Amazon, Flipkart and one other competitor with demand distribution by employer archetype at 45%, 35% and 20%

Know which skills are gaining importance. 

See how skills evolve across industries,so workforce strategies remain aligned with future business needs.

Track emerging skills

Measure skill availability

Plan future workforce capabilities

Skill build pyramid for Java roles showing time to build AWS at 2 to 4 weeks with 400 candidates, Kafka at 3 to 4 weeks, Kubernetes at 6 to 8 weeks and System Design at 6 plus months with 850 day demand

Assess talent availability

Understand hiring demand

Location Based Talent Supply

Competitor Benchmarking

Skills & Role Intelligence

The labor market changes faster than your planning cycle.

50–100% 

Hiring without understanding talent availability, competition, or market dynamics can result in costly hiring mistakes worth 50–100% of first-year CTC.

₹25-40 L

That's the typical cost of replacing one failed senior hire once recruitment, ramp-up, and productivity losses are included.

84%

Organizations report that poor hiring decisions have significantly affected business performance, workforce productivity, and growth .

50–100% 

Hiring without understanding talent availability, competition, or market dynamics can result in costly hiring mistakes worth 50–100% of first-year CTC.

₹25-40 L

That's the typical cost of replacing one failed senior hire once recruitment, ramp-up, and productivity losses are included.

84%

Organizations report that poor hiring decisions have significantly affected business performance, workforce productivity, and growth .

Market move in weeks.
Workforce decisions still move in quarters.

The old way: Reactive & Outdated

Decisions based on yesterday’s market

Missed shifts in talent demand

Higher hiring risk and longer time-to-fill

Lost talent to faster-moving competitors

Workforce plans that rarely match reality

The new way: Real-time & market aligned

Decisions aligned to today’s market

See shifts in demand before competitors

Reduce hiring risk & time-to-fill

Win the right talent in the right markets

Workforce plans that adapt and outperform

The intelligence behind every talent decision.

Stay ahead of demand.

Track demand by industry, company, geography, and role before hiring becomes more difficult and expensive.

Monitor hiring demand by role

Compare market competition

Forecast hiring difficulty

Hiring Demand Overview chart for AI Platform Engineer showing actual demand peaking at 3,050 and forecast reaching 3,900 over the next 6 months with annual demand of 38,000
Demand Composition donut chart showing total demand of 38,000 by experience band with 5 to 8 years at 34% and most in-demand skill clusters as MLOps, LLMOps, Cloud Platforms and GenAI and LLM Integration
Demand Composition dashboard showing two donut charts for demand by experience band and employer type distribution

Understand workforce composition & talent concentration before committing headcount to a market.

Discover where talent exists

Compare talent depth by city

Validate hiring capacity

Supply Overview map for Forward Deployed Engineer across India showing 4,550 matched candidates, 62 average days to hire, active supply of 484 profiles and passive supply of 1,716 profiles
Supply Expansion funnel for Forward Deployed Engineer showing addressable supply widening from 2,200 direct matches to 44,000 through adjacent role, applied AI and relaxed match expansion
Supply Distribution dashboard for Forward Deployed Engineer showing experience distribution by band and top cities with total addressable supply

Monitor workforce inflow, outflow, and hiring momentum to identify changes in talent availability and movement

Track workforce movement

Identify hiring momentum

Detect talent migration

Talent Mobility Sankey chart for Forward Deployed Engineer with 4 to 8 years experience showing 136 relocation-ready candidates and feeder markets at 35%, 28%, 19% and 18%
Location Analysis dashboard showing talent comparison across Bengaluru, Hyderabad and Pune with Bengaluru showing 120% supply advantage and recommendation to start sourcing there
India talent map showing Forward Deployed Engineer supply by city with Hyderabad at 15%, Pune at 13.4%, Delhi NCR at 11%, Chennai at 8% and Mumbai at 6% with salary ranges

Plan workforce capability using emerging market signals instead of historical assumptions.

Identify emerging skills

Monitor capability shifts

Guide workforce planning

Skills and Role Intelligence dashboard showing emerging roles with growth up to 145%, growing roles up to 12% and declining roles down to 42% for Generative AI Engineer
Skill lifecycle chart showing skills categorised as emerging, growing, mainstream and declining based on change in demand and supply with recommendation to invest in AI Agents, RAG and LLMOps
AI Workforce Recommendation dashboard showing build internal capability as primary strategy supported by invest in future skills, borrow specialist expertise, buy strategic leadership and sunset declining roles
Market Bridge strategy table showing build, borrow and buy recommendations by role with market supply levels ranging from very low to medium and business impact ratings of high and medium

Hiring Demand Overview

Supply

Location Analysis

Skills & role intelligence

Decision-grade intelligence for every workforce leader.

Team of four professionals reviewing data on a laptop in a meeting room
Senior business leaders discussing workforce strategy in a boardroom meeting
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 workforce decision with market confidence. 

See how HireSense helps enterprises hire smarter, expand confidently, and plan workforces using continuously refreshed external labor market intelligence.

Professional woman working on a laptop at a desk

Confident Hiring Decisions

Decision-Grade Insights

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.