Gurugram’s AI Powerhouses 2026: Funding Scale, Revenue Metrics & Valuation Insights

Gurugram has quietly become one of India’s most serious artificial intelligence clusters. From enterprise AI agents and agritech computer vision to public safety analytics and experiential AI platforms, these companies are building real revenue, raising institutional capital and expanding globally.

India’s AI capital cycle has moved beyond experimentation. Enterprises now demand production-grade deployments, recurring SaaS models and measurable ROI. Gurugram based AI startups reflect this maturity with meaningful funding rounds, expanding ARR and defensible technology stacks.

Below is a deep research breakdown of five leading AI startups headquartered in Gurugram, including revenue signals, funding scale, operational KPIs and growth outlook.

---

UnifyApps

UnifyApps builds enterprise AI agents and an orchestration layer that connects large language models with internal business systems. The company positions itself as an enterprise AI operating system, enabling organizations to deploy prebuilt vertical agents across CRM, support, finance and HR workflows.

The business model blends subscription ARR, usage-based pricing and professional deployment services. Following a major Series B round, UnifyApps accelerated hiring and international expansion, particularly across Europe and North America.

Full KPI Snapshot

KPI	Latest Signal
Estimated Annual Revenue	20 to 25 Million USD range
Total Funding Raised	81 Million USD cumulative
Latest Funding Round	50 Million USD Series B
Valuation Signal	Approx 200 Million USD post money
Employees	150 to 300
Enterprise Customers	20 to 40 active enterprise deployments
Revenue Model	Subscription plus usage plus services
Profitability Status	Investment phase, scaling ARR
Key Growth Metric	Expansion ARR and enterprise bookings

Growth Drivers

1. Enterprises moving AI pilots into production environments
2. Prebuilt vertical AI agents reducing deployment friction
3. European and US expansion funded by Series B
4. Integration partnerships with ERP and CRM platforms

Risk Factors

1. Competition from global AI platform providers
2. Long enterprise sales cycles
3. Data governance and compliance complexity

---

Intello Labs

Intello Labs applies computer vision to agriculture supply chains, automating quality assessment for fruits, vegetables and commodities. The company combines camera hardware with AI grading algorithms and cloud analytics.

Its monetization model blends device deployment, SaaS licensing and per-transaction analytics. By digitizing crop grading, Intello reduces wastage and enables transparent pricing for buyers and retailers.

Full KPI Snapshot

KPI	Latest Signal
Estimated Annual Revenue	3 to 4 Million USD range
Total Funding Raised	17 to 18 Million USD
Latest Funding Stage	Series A to early Series B phase
Employees	100 to 150
Customer Deployments	Dozens of packhouses and retail chains
Revenue Model	Hardware plus SaaS plus licensing
Profitability Status	Scaling recurring revenue
Key Growth Metric	Monthly recurring SaaS growth

Growth Drivers

1. ROI driven reduction in food wastage
2. Scalability across multiple crops and regions
3. Retail chain adoption for standardized grading
4. Expansion into export certification analytics

Risk Factors

1. Hardware deployment costs
2. Seasonal demand cycles
3. Price sensitivity in fragmented supply chains

---

Staqu

Staqu develops multimodal AI systems for video and audio analytics. Its JARVIS suite supports smart city deployments, law enforcement and enterprise security.

The company blends project-based contracts with recurring SaaS licensing for analytics dashboards and alert systems. Government pilots and enterprise deployments have strengthened credibility.

Full KPI Snapshot

KPI	Latest Signal
Estimated Annual Revenue	13 to 14 Million USD range
Funding Raised	Early stage institutional plus grants
Employees	80 to 120
Core Deployments	Smart city and enterprise security projects
Revenue Model	Project plus SaaS licensing
Profitability Status	Mixed due to project seasonality
Key Growth Metric	Recurring licensing expansion

Growth Drivers

1. Rising smart city analytics budgets
2. Productization of analytics modules
3. International pilot programs
4. OEM and integrator partnerships

Risk Factors

1. Privacy and surveillance regulations
2. Government procurement delays
3. Need for continuous model upgrades

---

Tagbin

Tagbin operates at the intersection of immersive experiences and applied AI. It builds AI powered platforms for government exhibits, museums and large scale experiential events.

The company raised a significant growth round in late 2025 and has signaled IPO ambitions. While historically project driven, Tagbin is productizing its Workly platform to generate recurring SaaS revenue.

Full KPI Snapshot

KPI	Latest Signal
Reported Revenue Threshold	100 Crore INR plus
Latest Funding	10 Million USD growth round
Employees	120 to 250
Core Clients	Government and experiential programs
Revenue Model	Project plus SaaS licensing
Profitability Status	Moving toward recurring SaaS mix
Key Growth Metric	Project backlog and license renewals

Growth Drivers

1. Public sector digital experience budgets
2. SaaS productization of Workly platform
3. International expansion
4. Strong event and exhibit order pipeline

Risk Factors

1. Project concentration risk
2. Long delivery timelines
3. Dependence on public spending cycles

---

HackerEarth

HackerEarth is an AI powered technical assessment and hiring platform. It uses machine learning to evaluate coding ability, reduce bias and automate hiring workflows.

The platform serves enterprises globally and hosts a large developer community. Revenue is subscription based, with additional income from assessment services and hiring programs.

Full KPI Snapshot

KPI	Latest Signal
Registry Reported Revenue	Approx 32 Crore INR
Industry Revenue Estimate	30 to 36 Million USD range
Employees	400 to 600
Developer Community	Multi million user base
Enterprise Clients	Hundreds of organizations
Revenue Model	Enterprise SaaS subscription
Profitability Status	Mature SaaS margins
Key Growth Metric	Enterprise contract expansion

Growth Drivers

1. Rising demand for automated technical hiring
2. Product innovation in AI based proctoring
3. Expansion into upskilling and talent marketplace
4. Global remote hiring trends

Risk Factors

1. Competition from assessment platforms
2. Fraud detection arms race
3. Hiring cycle dependency

---

Comparative Strategic Snapshot

Company	Revenue Scale	Funding Depth	Business Model	Growth Phase
UnifyApps	20 to 25M USD	81M USD	Enterprise AI SaaS	High Growth
Intello Labs	3 to 4M USD	17M USD	Hardware plus SaaS	Scaling
Staqu	13 to 14M USD	Early Stage	Project plus SaaS	Expanding
Tagbin	100Cr INR plus	10M USD	Project plus SaaS	Productizing
HackerEarth	30M USD range	Mature Private	Enterprise SaaS	Stable Growth

---

Investor Perspective

For long term investors

1. Focus on recurring ARR growth and SaaS revenue mix
2. Evaluate capital efficiency post funding rounds
3. Monitor customer concentration risk

For growth investors

1. Track ARR expansion at UnifyApps
2. Watch SaaS conversion at Tagbin
3. Assess underwriting discipline in hardware AI models

Gurugram’s AI ecosystem is no longer experimental. It now combines enterprise deployments, multimillion dollar funding rounds and global expansion plans. The next cycle will reward margin discipline, recurring revenue and defensible AI infrastructure.

⚠️ DISCLAIMER: We Are Not Financial Advisors

---