May 29, 2026
Mphasis unveils enterprise agency platform Mphasis Tria
Mphasis' newsroom highlighted coverage of its Tria enterprise agency platform.
#Tria #AI
View postAn AI-led, platform-driven technology services company helping enterprises modernize and scale.
mphasis.comLegal name
Mphasis LimitedCIN
L30007KA1992PLC025294
Incorporated
August 10, 1992
Corporate office
Bengaluru, Karnataka, India
Primary business
Computer programming and related activities
Permanent employees (FY2025)
12,269
Revenue (FY2026)
$1.796 billion
Net-new TCV (FY2026)
More than $2.1 billion
Chief Executive Officer
Nitin Rakesh
Listed on
NSE: MPHASISMphasis Limited is a Bengaluru-based technology services company whose primary business is computer programming and related consulting, information and communication services.
It describes itself as AI-led and platform-driven, using cloud, cognitive technologies and its NeoIP platform to help enterprises modernize and scale.
For FY2026, Mphasis reported $1.796 billion in revenue and more than $2.1 billion in net-new total contract value; 69% of its pipeline was AI-led.
Chief Executive Officer and Managing Director
Chief Financial Officer
Chief Human Resource Officer
Chief Solutions Officer
Interview experience
3.9 out of 5
Interview difficulty
Mostly moderate
Interview process length
Source reports five duration buckets
Practise technical, product and operations questions with concise, evidence-based answers.
Q: Tell me about your experience and a product you worked on.
A: Choose one product and connect the user problem, your decisions, cross-functional delivery and a measurable result.
Q: Explain Kanban, Scrum and a sprint.
A: Contrast Kanban's flow-based work limits with Scrum's time-boxed cadence, then define a sprint as a fixed Scrum iteration.
Q: Build a to-do list with add and search features.
A: Model controlled input and task state, derive filtered results from the query, and keep updates immutable and components focused.
Q: How do hooks, Redux and performance optimization work in React?
A: Explain local lifecycle and state with hooks, shared predictable state with Redux, and optimize only measured render or data-flow bottlenecks.
Practise technical, product and operations questions with concise, evidence-based answers.
1-5 years
₹5.7 lakh to ₹6.3 lakh per year
6725 Salaries submitted
2-10 years
₹14.5 lakh to ₹16.0 lakh per year
6644 Salaries submitted
0-3 years
₹3.7 lakh to ₹4.1 lakh per year
5044 Salaries submitted
5-13 years
₹22.2 lakh to ₹24.5 lakh per year
2910 Salaries submitted
0-4 years
₹2.8 lakh to ₹3.1 lakh per year
2261 Salaries submitted
5-13 years
₹21.3 lakh to ₹23.6 lakh per year
2081 Salaries submitted
Compare employee-reported India ranges with experience, role scope and total compensation.
Hyderabad • 5-12 years experience
Hyderabad • 5-8 years experience
Hyderabad • 6-14 years experience
Hyderabad • 10-15 years experience
Bangalore • 7-12 years experience
Bangalore • 5-12 years experience
Connect your technical and delivery experience to the role's stated skills and outcomes.
May 29, 2026
Mphasis unveils enterprise agency platform Mphasis Tria
Mphasis' newsroom highlighted coverage of its Tria enterprise agency platform.
#Tria #AI
View postMay 28, 2026
Mphasis launches autonomous enterprise platform Tria
CEO Nitin Rakesh discussed the launch of the company's autonomous enterprise platform with The Hindu BusinessLine.
#EnterpriseAI #Platform
View postMay 6, 2026
Securing AI transformation in a risk-driven era
Mphasis shared an interaction on managing security and risk during enterprise AI transformation.
#Cybersecurity #AI
View postMay 5, 2026
Mphasis consolidated net profit rises 14.14% in the March 2026 quarter
The company highlighted coverage of its March-quarter profit and operating performance.
#Results #FY2026
View postApril 29, 2026
Mphasis acquires Theory and Practice Business Intelligence
Mphasis highlighted its acquisition of Theory and Practice to strengthen decisioning-intelligence capabilities.
#Acquisition #DecisionIntelligence
View postMphasis provides technology services across application development, cloud, infrastructure, operations and AI-led enterprise modernization.