Data Center Development in India: Site Selection, Power Requirements, Costs, and Regulatory Approvals (2026 Guide)

Introduction

If you are evaluating data center development in India in 2026, whether as a hyperscale operator scaling capacity, a colocation provider entering a high-growth market, an enterprise sponsor building captive infrastructure for AI workloads and regulatory data localisation, or an institutional investor backing a new platform, you are entering one of the most rapidly expanding digital infrastructure markets globally.

India's operational data center capacity reached approximately 1,123 MW of IT load by H1 2025, according to JLL Research. Around 387 MW was added in 2025 alone, more than double the 191 MW added in 2024. Mumbai accounted for 53% of operational supply, followed by Chennai (20%), Delhi-NCR (10%), and Bengaluru (7%).

CBRE data further indicates approximately USD 94 billion in cumulative investment commitments between 2019 and Q3 2025, with Maharashtra, Tamil Nadu, Telangana, Uttar Pradesh, West Bengal, and Karnataka attracting nearly 45% of total capital commitments. Supporting this growth, the Draft National Data Centre Policy 2025 proposes incentives including up to 20 years of conditional tax exemptions, 100% electricity duty exemption, input tax credits on HVAC and electrical equipment, single-window clearances, and the development of dedicated Data Centre Economic Zones.

This guide answers the planning sponsor's question directly: how do I plan and develop a data center project in India? It serves as a step by step guide to building data centers in India, walking through the six-phase development framework, the location analysis and site selection criteria that matter most for data center infrastructure in India, the data center power requirements and cooling architecture, the regulatory approval pathway, the capex structure, and the practical disciplines that distinguish successful platform builds from stalled or under-economic projects.

How Do I Plan and Develop a Data Center Project in India

A successful data center development project in India follows a structured approach that begins with feasibility assessment and site selection and progresses through power planning, regulatory approvals, engineering, construction, commissioning, and operations. Developers must evaluate factors such as power availability, fibre connectivity, land suitability, state incentives, scalability, and compliance requirements before making investment decisions.

Most projects follow six key stages:

• Concept and feasibility planning
• Data center site selection and land acquisition
• Power infrastructure planning and utility tie-ups
• Regulatory approvals and compliance
• Engineering, procurement, and construction (EPC)
• Testing, commissioning, and operations

Table of Contents

• Introduction
• Why Data Center Development in India Has Become Strategic in 2026
• How to Develop a Hyperscale Data Center in India - Six-Phase Framework
• Data Center Site Selection Consultant in India
• Data Center Power and Cooling Requirements India
• Data Center Regulatory Approval Process in India
• Data Center Construction Project Cost in India
• Common Mistakes and Best Practices
• IMARC Engineering's Approach to Data Center Development in India
• Conclusion

1. Why Data Center Development in India Has Become Strategic in 2026

Four structural drivers have made investment in data center infrastructure in India strategically consequential in 2026.

1.1 The Capacity Demand-Supply Gap Is Material

India's operational IT load reached approximately 1,123 MW by H1 2025 with net take-up of 97.9 MW in H1 alone (a 48 percent year-on-year growth per JLL). Industry forecasts indicate capacity will reach approximately 1.3 GW by end-2025 and 4.8 GW by 2030 against USD 28 billion in announced upcoming investment. The supply-constrained environment - 4.3 percent vacancy - supports stable occupancy economics for new entrants and capacity expansions, particularly in primary markets.

1.2 AI Workloads and Cloud Localisation Are Reshaping Demand

Demand drivers have shifted from connectivity-led growth to AI-led workloads, cloud region localisation under the Digital Personal Data Protection Act 2023, BFSI sector digitalisation, and enterprise digital transformation. AI training and inference workloads require dense compute infrastructure (typically 20-50 kW per rack against historical 5-8 kW per rack) and structured cooling architecture (rear-door heat exchangers, direct liquid cooling, immersion cooling) that retrofit poorly into legacy facilities - creating demand for purpose-built modern campuses.

1.3 Draft National Policy and State Incentives Have Aligned

The Draft National Data Centre Policy 2025 proposes infrastructure-status equivalent benefits including up to 20 years of conditional tax exemptions, 100 percent electricity duty exemption, input tax credits on capital equipment, single-window clearances, and pre-allocated land in Data Centre Economic Zones near IT corridors. State-level data center policies - Maharashtra Data Center Policy 2023 (with deemed industry status), Tamil Nadu Data Center Policy 2021, Uttar Pradesh Data Center Policy 2021, Karnataka Data Center Policy 2022, Telangana, Odisha, and others - layer additional incentive frameworks. The policy stack has reduced regulatory friction materially versus pre-2020 conditions.

1.4 Submarine Cable and Renewable Power Economics Have Shifted Site Selection

Mumbai (with its concentration of international submarine cable landings) and Chennai (the second submarine cable landing hub) command structural advantages for latency-sensitive workloads. Inter-State Transmission System (ISTS) exempt renewable PPAs have made Gujarat, Rajasthan, Tamil Nadu, and Karnataka increasingly attractive for AI-workload campuses where power cost dominates operating expense. The combination has produced a more diverse geographic landscape than the historic Mumbai-Chennai concentration would suggest - with emerging hubs in Visakhapatnam, Hyderabad, Pune, Kolkata, and tier-2 cities.

2. How to Develop a Hyperscale Data Center in India - Six-Phase Framework

A hyperscale data center in India (typically 50-200+ MW IT load) follows a structured six-phase lifecycle from concept through commercial operations. The framework applies broadly to mid-scale colocation and enterprise captive builds with corresponding adaptations in scale and complexity.

Phase	Activity	Typical Duration
1. Concept & Feasibility	Demand sizing, location strategy, business case, capital plan	8-16 weeks
2. Site Acquisition & Approvals	Land due diligence, statutory clearances, power tie-up	6-12 months
3. Detailed Engineering	Architectural, MEP, IT systems, Uptime/Tier design	4-8 months
4. EPC Construction	Civil, MEP, IT room build-out, security, commissioning	18-30 months
5. Testing & Certification	Tier certification, customer acceptance, validation	3-6 months
6. Operations & Scale-up	Customer onboarding, capacity ramp, operational governance	Continuous

2.1 Concept and Feasibility

The starting point is a structured demand sizing and feasibility assessment exercise - target customer profile (hyperscale anchor tenants, enterprise colocation, mixed-use), capacity in MW IT load, Tier classification (Tier III is most common; Tier IV for mission-critical workloads), expansion phasing across 5-10 years. The business case models capex, opex, revenue per kW or rack, occupancy ramp, and IRR sensitivity. A go/no-go decision at Phase 1 conclusion typically commits the sponsor to land acquisition expenditure - making the Phase 1 quality of analysis materially consequential.

2.2 Site Acquisition and Approvals

Site acquisition runs in parallel with statutory approvals. Land due diligence covers title, zoning, utility availability, environmental constraints, and connectivity access. Statutory approvals begin with conversion of land use where required, Environmental Clearance under EIA Notification 2006 (for projects above prescribed thresholds), building plan approval, Pollution Control Board CTE, and electrical inspectorate engagement. Power tie-up - typically the longest-lead item - involves dedicated 33/66/132/220 kV transmission line agreement with the state utility or open-access PPA structuring. For greenfield sites without existing high-voltage infrastructure, power tie-up alone can run 12-24 months.

2.3 Detailed Engineering and EPC

Detailed engineering produces the construction-ready documentation covering civil and structural design (typically reinforced concrete with seismic compliance), MEP design (HV/LV electrical, UPS, generator backup, HVAC, fire detection and suppression, BMS, security), IT room design (white space layout, cable management, monitoring), and Uptime Institute Tier or ANSI/TIA-942 compliance. EPC construction follows for 18-30 months covering structural shell, MEP installation, IT room build-out, security infrastructure, and integrated commissioning. Effective data center project management through this phase determines schedule and budget outcomes more than any other variable.

2.4 Testing, Certification, and Operations

Pre-operational testing covers integrated systems testing (IST), commissioning across MEP and IT systems, Uptime Tier certification (Tier Certification of Constructed Facility), Tier Certification of Operational Sustainability where pursued, and customer acceptance testing. Operational scale-up runs continuously from first customer onboarding through full occupancy - typically 24-48 months to reach 80 percent+ utilisation.

3. Data Center Site Selection Consultant in India

Effective data center site selection evaluates candidate sites across 8-12 weighted criteria. The lowest-land-cost site is almost never the right choice on total cost-of-ownership over the 20-25 year facility life.

3.1 The Multi-Criteria Selection Framework

• Power availability and grid reliability - sustained 50-200+ MW availability at competitive tariffs
• Submarine cable and fibre connectivity - latency to Mumbai/Chennai cable landing stations
• Climate suitability - ambient temperature affecting cooling load and PUE
• Seismic zone classification - lower seismic risk favourable for Tier III/IV design
• Water availability - typically 1-3 million litres per day for cooling at large facilities
• Flood and natural disaster risk - elevation, drainage, cyclone exposure
• State data center policy and incentive framework
• Land cost and availability of contiguous parcels for phased expansion
• Skilled workforce access for operations and engineering
• Customer proximity and ecosystem fit
• Renewable energy access through ISTS-exempt PPAs
• Regulatory and security risk profile

3.2 The Operational Hub Landscape

Hub	Operational Capacity Share	Strategic Profile
Mumbai / Navi Mumbai	~53% (largest)	Submarine cable landings; financial ecosystem; mature operations
Chennai	~20%	Submarine cable landing; AI-ready high-density campuses
Delhi-NCR (Noida/Greater Noida)	~10%	Government, enterprise, cloud demand; talent depth
Bengaluru	~7%	Tech ecosystem; power and water limitations
Hyderabad	Emerging	Large land parcels; power availability; hyperscale magnet
Pune, Kolkata, Visakhapatnam	Emerging	Lower costs; improving connectivity; tier-2 momentum

Mumbai dominance reflects submarine cable concentration, financial ecosystem depth, and mature power and connectivity infrastructure. Tier-2 emergence reflects power and land cost arbitrage where latency requirements permit. Hyperscale builds increasingly favour multi-campus strategies spanning primary hubs and tier-2 locations rather than concentrated metro positioning.

4. Data Center Power and Cooling Requirements India

Power supply architecture and cooling design are the most consequential engineering decisions in any data center project. They determine 60-75 percent of capex, 80-90 percent of operating expense (excluding bandwidth), and the achievable service-level reliability.

4.1 Power Supply Architecture

A modern hyperscale facility typically requires dedicated 132 kV or 220 kV grid connection with redundant feeders from separate substations. The HV infrastructure feeds dedicated substations stepping down to medium voltage (typically 33 kV) and then to low voltage (415 V) for IT load. Reliability architecture follows N+1 or 2N redundancy across transformers, UPS systems, and standby generators.

Standby generation typically covers 100 percent of IT load plus cooling load through diesel generators; newer projects evaluate natural gas, hydrogen-ready, or extended-runtime fuel cell alternatives. UPS systems (typically rotary or static UPS at facility scale) provide bridge power between utility outage and generator start-up, with 5-10 minute battery autonomy as standard.

4.2 Cooling Architecture and PUE

Cooling design choices dramatically affect PUE - the industry-standard efficiency metric measuring total facility power divided by IT load power. Indian data center PUE has historically run 1.45-1.55 reflecting ambient climate conditions and legacy cooling architectures; new hyperscale builds are targeting PUE below 1.30 through advanced cooling design.

Cooling technology options: precision air conditioning (PAC) with computer room air handlers (CRAH) - established baseline; hot-aisle/cold-aisle containment - standard for modern facilities; rear-door heat exchangers - rising adoption for higher density; direct liquid cooling (DLC) and immersion cooling - emerging for AI workloads with rack densities of 30-100+ kW. The cooling architecture decision is tied to target workload density - AI-heavy facilities require liquid cooling integration from design phase rather than retrofit.

4.3 Water and Sustainability

Large facilities consume substantial water for cooling - typically 1-3 million litres per day for evaporative cooling architectures. Water-stressed locations (Bengaluru, parts of Chennai, Hyderabad in drought years) require dry coolers or hybrid systems despite higher PUE penalty. Renewable energy integration through ISTS-exempt power purchase agreements (PPAs) with solar and wind producers in Gujarat, Rajasthan, Tamil Nadu, and Karnataka enables 50-70 percent renewable share on annualised basis - increasingly mandatory for hyperscale customers with Net Zero commitments.

Sustainability features including IGBC LEED certification (commonly Platinum for hyperscale builds), water recycling, waste heat recovery, and structured ESG disclosure aligned with customer expectations are increasingly standard rather than optional.

4.4 Power Availability Considerations by Hub

Power tariff and availability vary materially across hubs. Maharashtra offers strong grid reliability and competitive industrial tariffs; specific data center tariff slabs available under the state policy. Tamil Nadu Data Center Policy provides preferential tariff and electricity duty waivers. Telangana, Uttar Pradesh, and Karnataka offer comparable benefit packages with state-specific variations.

Open access PPAs and group captive structures can secure 4-7 INR per unit landed cost from renewable sources versus 7-10 INR per unit from state utilities - a material operating cost differential over 20-25 year facility life. Power strategy should be evaluated jointly with site selection rather than treated as post-selection optimisation.

5. Data Center Regulatory Approval Process in India

The data center regulatory approvals architecture spans Central statutes, state regulations, and sector-specific frameworks. Mapping the approval pathway correctly at project initiation prevents avoidable delay during execution.

5.1 The Statutory Stack

Approval	Authority	Stage
Environmental Clearance (where applicable)	SEIAA / MoEFCC under EIA Notification 2006	Pre-construction
Building Plan Approval	Local Development Authority / Municipal Corporation	Pre-construction
Fire NOC (Provisional and Final)	State Fire Services under NBC 2016 Part 4	Pre-construction and pre-operation
State Pollution Control Board CTE / CTO	State PCB	Pre-construction (CTE) and pre-operation (CTO)
Electrical Inspection and CEIG approval	State Electrical Inspectorate / CEIG	Pre-energisation
Power Connection Agreement	State utility / open access via SLDC	Pre-operation
Telecom Licensing	Department of Telecommunications (DoT)	As required for connectivity
State Data Center Policy Registration	State IT Department / Single Window	Project start
DPDP Act Compliance	Applicable regulatory framework under the Digital Personal Data Protection Act, 2023	Operational

5.2 Environmental and Building Approvals

Environmental Clearance applies where the project size and category trigger EIA Notification 2006 requirements - typically large-scale builds. The clearance involves Terms of Reference (TOR) determination, Environmental Impact Assessment study, public consultation, and SEIAA / EAC review. Building Plan Approval follows local Development Authority or Municipal Corporation procedures with structural design submissions, fire safety compliance per NBC 2016 Part 4 (covering data center as a specific occupancy classification), and zoning verification.

Fire NOC provisional at construction and final at occupation requires structured fire safety design including detection, suppression (typically clean agent for IT rooms; sprinkler for non-IT areas), egress, and emergency response infrastructure.

5.3 Power and Electrical Approvals

Power connection involves multiple parallel tracks. State utility application for grid connection at HT voltage; load sanction; metering arrangement; substation equipment compliance; Chief Electrical Inspector to the Government (CEIG) approval for HT installations; energisation. Open access PPAs require State Load Despatch Centre (SLDC) registration, transmission corridor allocation, and scheduling compliance.

The Central Electricity Authority (CEA) regulations on grid connection, the Electricity Act 2003, and state-specific regulations govern the process. Power approval is typically the longest-lead item in the regulatory critical path - sponsors should engage state utility and SLDC at concept stage rather than post-site-acquisition.

5.4 Data Protection and Telecom Compliance

Operational compliance triggers from commissioning. Digital Personal Data Protection Act 2023 (DPDP Act) imposes obligations on Data Fiduciaries and Significant Data Fiduciaries - while the Act primarily addresses customers of data centers, certain compliance burdens flow to facility operators including breach notification frameworks, audit cooperation, and (potentially) data localisation provisions for specific data categories.

The Data Protection Board of India operationalises enforcement. Telecom licensing under the Department of Telecommunications applies where data center operators provide connectivity beyond hosting. ISP licences, OSP registrations, and infrastructure provider categories may apply depending on service scope.

6. Data Center Construction Project Cost in India

Understanding the cost structure of data center construction in India enables informed budgeting and financing. Capex varies substantially by Tier classification, scale, location, and technology choices.

6.1 The Capex Stack

Cost Component	Typical % of Total Capex	Notes
Land	5-12%	Lower in tier-2 hubs; higher in Mumbai/NCR/Bengaluru periphery
Civil and structural	12-20%	RCC structure with seismic compliance
Mechanical (cooling, HVAC, plumbing)	18-28%	Higher for AI-density designs with liquid cooling
Electrical (HV, MV, LV, UPS, generators)	25-35%	Largest single category; reliability-driven
IT room build-out and racks	5-10%	White space fit-out
Security, BMS, fire systems	4-7%	Critical to certification
Professional fees and statutory	3-6%	Design, EPC PMC, approvals
Commissioning and contingency	8-12%	Higher contingency for complex builds

6.2 Indicative Per-MW Capex Benchmarks

Indicative data center project cost in India per MW of IT load, exclusive of land, typically falls in the following ranges based on Tier and density. Tier III colocation at standard 5-10 kW per rack density: INR 50-65 crore per MW IT load (approximately USD 6-8 million per MW). Tier III hyperscale with optimised design: INR 55-70 crore per MW. Tier IV mission-critical facilities: INR 70-90 crore per MW. AI-ready high-density (20-50+ kW per rack) with liquid cooling integration: INR 70-95 crore per MW. Total project cost including land for a 50 MW hyperscale facility typically runs INR 3,000-4,500 crore (USD 360-540 million); a 100 MW campus typically runs INR 6,000-9,000 crore (USD 720 million-USD 1.1 billion); large multi-phase campuses can reach INR 15,000 crore+ (USD 1.8 billion+) over the full build-out.

6.3 Operating Cost Structure

Annual operating cost typically runs 8-15 percent of facility revenue at occupancy with power consumption representing 50-65 percent of operating expense. The PUE achievement directly affects power cost - a 0.1 PUE improvement on a 50 MW facility can save INR 20-35 crore annually depending on tariff.

Maintenance, security, insurance, staffing, and connectivity comprise the balance of opex. Revenue per kW of IT load typically ranges INR 10-18 lakh per kW annually for colocation; hyperscale anchor tenant pricing typically operates at lower per-kW levels with longer-term volume commitments.

6.4 Financing Structures

Indian data center projects typically finance through 65:35 to 75:25 debt-equity structures with debt provided by domestic banks (SBI, ICICI, HDFC, Axis), NBFCs, and increasingly NaBFID (with approximately INR 3.03 lakh crore approved and INR 1.09 lakh crore disbursed by December 2025) given infrastructure-adjacent classification.

International capital flows through institutional investors (Blackstone, Brookfield, GIC, CPPIB, OMERS, Macquarie), REITs, and dedicated data center platforms (AdaniConneX, Yotta, ST Telemedia, NTT, Equinix, CtrlS, ESDS, Sify, NxtraData). Sustainability-linked loans and green bonds increasingly support facilities with strong renewable energy integration and IGBC certification.

7. Common Mistakes and Best Practices

7.1 Selecting Site on Land Cost Alone

Sites selected on lowest land cost without TCO analysis routinely produce higher logistics, power, talent, and customer-access cost over the 20-25 year facility life. Discipline: structured TCO modelling across candidate sites incorporating power tariff, connectivity, talent access, customer proximity, climate impact on PUE, and incentive eligibility.

7.2 Underestimating Power Tie-Up Timeline

Sponsors that defer power tie-up to late-stage execution routinely face 6-18 month commissioning delays as utility infrastructure development lags facility readiness. Discipline: power tie-up engagement at concept stage; parallel SLDC and utility coordination; backup power options including extended-runtime fuel arrangements.

7.3 Tier Over-Specification

Tier IV specification adds 20-35 percent to capex versus Tier III for marginal availability improvement. Most colocation and enterprise workloads are well-served by Tier III.

Discipline: Tier classification matched to customer requirements; phased Tier elevation for specific workloads rather than blanket facility-wide over-specification.

7.4 Inadequate Future-Proofing for AI Workload Density

Facilities designed for 5-8 kW per rack cannot accommodate AI workloads at 30-100+ kW per rack without expensive retrofits.

Discipline: cooling architecture and electrical distribution designed for higher density from day one; structured zones for varying density; liquid cooling readiness even where initial deployment uses air cooling.

7.5 Weak Multi-Phase Expansion Planning

Sponsors that build single-phase capacity without expansion provisions face land, power, and infrastructure constraints when capacity demands grow.

Discipline: master planning across 5-10 year build-out; land parcel sizing including expansion margin; substation and infrastructure provisioning for future phases at initial build.

8. IMARC Engineering's Approach to Data Center Development in India

IMARC Engineering delivers data center EPC services in India through a structured, sponsor-aligned approach spanning concept through commissioning. Our methodology integrates the technical, regulatory, and commercial dimensions that distinguish successful platform builds.

8.1 Concept-Stage Discipline

We start engagements with structured demand sizing, multi-site comparison across primary and emerging hubs, and total cost-of-ownership modelling that captures power, connectivity, talent, customer-access, and incentive dimensions over the full facility life. Concept-stage outputs include a documented business case with capex and opex models, scenario sensitivity, and a Phase 1 to Phase 6 execution roadmap that the sponsor can use to brief institutional investors, lenders, and customer counterparties.

8.2 Integrated Engineering and EPC Execution

Our engineering teams bring deep capability across civil/structural, MEP (HV, MV, LV, UPS, generation, HVAC, cooling), IT room build-out, security, BMS, and Uptime Tier III/IV design. We deliver greenfield data center project management engagements, brownfield expansions, and AI-ready high-density retrofits with structured EPC project management - working with sponsors on either fixed-price turnkey arrangements or open-book project management consultancy structures depending on engagement preference. Our project management discipline covers schedule and budget controls, vendor qualification and management, quality assurance, HSE governance, and integrated commissioning.

8.3 Regulatory and Power Strategy

We integrate regulatory pathway mapping at concept stage rather than treating approvals as execution-stage workstreams. Our regulatory advisory covers Environmental Clearance applicability and execution, building plan approvals, fire safety design and NOC, PCB consents, electrical inspectorate engagement, CEIG approvals, state data center policy registration, and DPDP Act compliance positioning. Our power strategy team supports state utility tie-up, open access PPA structuring with renewable producers in Gujarat, Rajasthan, Tamil Nadu, and Karnataka, ISTS-exempt arrangements, and group captive structures - aligning power architecture with facility tier, density, and sustainability commitments.

8.4 Sustainability and ESG Integration

Modern data center sponsors require IGBC LEED certification, renewable energy integration, PUE optimisation, water recycling, and structured ESG disclosure supporting customer Net Zero commitments. Our sustainability practice integrates these dimensions from design phase rather than retrofitting late in the project. We deliver IGBC pre-certification through final certification, structured ESG governance aligned with SEBI BRSR Core for listed sponsors, and customer-audit-ready documentation supporting hyperscale anchor tenant qualification.

8.5 Sector Coverage and Scale

We support data center engagements across colocation operators, hyperscale builders, enterprise captive facilities, and institutional investment platforms. Our project scale coverage runs from 5-15 MW edge and mid-scale facilities through 50-100 MW hyperscale builds to 200+ MW multi-phase campus master plans. Geographic coverage spans Mumbai/Navi Mumbai, Chennai, Hyderabad, Bengaluru periphery, Delhi-NCR, Pune, Visakhapatnam, Kolkata, and emerging tier-2 locations - matching project siting to sponsor strategy rather than imposing a fixed location preference.

Conclusion

Data center development in India in 2026 sits at the intersection of one of the world's fastest-growing digital infrastructure markets, an evolving and increasingly favourable national and state policy framework, and structural demand from AI workloads, cloud localisation under the DPDP Act 2023, and enterprise digital transformation.

Operational IT load capacity reached approximately 1,123 MW by H1 2025 with the market poised to reach 4.8 GW by 2030 against announced upcoming investment of USD 28 billion and cumulative commitments of approximately USD 94 billion since 2019. The Draft National Data Centre Policy 2025, the maturing state policy ecosystem, and the converging power-economics around renewable PPAs have collectively produced the most favourable development environment Indian data centers have seen.

Three closing reminders for sponsors planning new data center investments. First, evaluate site selection on total cost-of-ownership across the 20-25 year facility life rather than on land cost or single-dimension optimisation - power, connectivity, climate, talent, and ecosystem fit compound to outweigh upfront land economics.

Second, engage power tie-up at concept stage rather than post-acquisition - power lead-time is consistently the determinative variable in project schedule, and early engagement with state utility, SLDC, and renewable PPA counterparties materially compresses commissioning timelines.

Third, design for future workload density from day one - AI workloads at 30-100+ kW per rack cannot retrofit into facilities designed for 5-8 kW racks without expensive rebuilds; structured density planning at design stage protects long-term economic relevance.