Techgropse

Company facts

• 150+ techies
• 10+ years of experience
• Presence in 25 locations worldwide
• Locations in India, Dubai, and the USA
• Services for startups, SMBs, and established enterprises
• Global clients, particularly in America, GCC, and APAC

TechGropse describes its approach as client-centric, scalable, and focused on practical business outcomes. Its stated areas of strength include technical expertise, innovative design, agile development, emerging technologies, end-to-end support, and quality commitment.

Company history

• 2015: Established with five employees to provide mobile apps for businesses in the United States and APAC.
• 2016: Expanded the core team to more than 50 employees and served more than 10 clients.
• 2017: Began developing software through sprints and building custom software aligned with the Digital India campaign and Saudi Arabia's Vision 2030.
• 2018: Recognized by GoodFirms as a Top Mobile App Development Company.
• 2019: Established offices in multiple UAE and USA locations.
• 2020: Partnered with industry companies in Saudi Arabia.
• 2021–2022: Developed client chatbots and incorporated AI into its work.
• 2023: Received recognition from Clutch, TechBehemoths, Techreviewer, and Business of Apps.
• 2024: Expanded to more than 150 developers and worked on projects including Agentic AI.
• 2025: Participated in GITEX Global 2025 in Dubai and onboarded clients including Zayed University.

App engineering

• Android app development
• iOS app development
• Flutter development
• Progressive web applications
• MVP app development
• React Native development
• Enterprise mobility

Custom software and product engineering

• Custom software development
• Web application development
• SaaS product development
• Enterprise software
• CRM and ERP systems
• Cloud applications
• Software integration
• Implementation and customization
• Maintenance and support

Enterprise and consulting services

• Strategic technology consulting
• Software architecture consulting
• DevOps consulting
• System modernization and cloud migration
• Cloud solutions architecture
• Cybersecurity assessments and strategies
• UI/UX design and product strategy
• Product discovery, UX research, prototyping, and design systems
• Data intelligence and business analytics

TechGropse also offers white-label and custom solutions, third-party API integration, dedicated development teams, and software or app modernization.

• Simple app: USD 25,000–USD 50,000
• Advanced app: USD 51,000–USD 100,000
• Comprehensive app: USD 110,000+

The final software development cost may be affected by the software's complexity, required features, development timeline, developer experience, and team location. The company states that shorter deadlines usually involve higher costs.

TechGropse provides project quotes after reviewing the requirements. Quotes include the detailed timeline, cost, and deliverables. The company says its proposals present costs upfront, with minimal to no surprise costs during or after development.

Support and maintenance

TechGropse provides post-launch support for app and software performance. Its support team can manage app version updates and monitor mobile app performance to optimize speed and functionality. The company also provides L1, L2, and L3 technical support.

The company states that comprehensive support and maintenance are provided after deployment to help keep software secure and optimized.

• AI chatbot development using natural language processing
• Agentic AI and AI agents
• Generative AI solutions
• Machine learning solutions
• Predictive analytics
• Big data and data processing
• Natural language processing and text analysis
• Computer vision for digital images and videos
• AI product development
• Personalization
• Media workflow automation
• Video processing tools
• Multi-platform AI integration

TechGropse can integrate AI systems with existing ERP, CRM, HRMS, and other business applications. The company states that its AI services can automate repetitive workflows, transform business data into actionable insights, predict customer behavior and business opportunities, and support intelligent customer engagement.

AI/ML development process

The stated development process includes consulting, planning, prototyping, designing, development, testing, launch, and future maintenance. Testing covers functional, integration, and performance testing on real platforms.

AI/ML engagement models

• Fixed engagement: For defined requirements and deliverables, with predetermined timelines and costs.
• Hourly engagement: For flexible projects, iterative changes, maintenance, or evolving requirements.
• Dedicated engagement: An exclusive team working on a project with scalable resources and direct communication.

TechGropse also provides AI/ML developers for hire to help businesses augment their technology teams.

• Healthcare
• Insurance
• Education and EdTech
• EV and automotive
• eCommerce
• Real estate
• Logistics
• Media and entertainment
• Travel and tourism
• Oil and gas
• FinTech
• Manufacturing
• IT/ITES
• Fashion
• Agriculture
• Aviation
• Telecommunications
• Food
• Gaming
• Fitness
• On-demand services

Example solution areas include telemedicine, electronic health records, claims processing, eLearning platforms, EV charging apps, marketplaces, property discovery, fleet management, streaming platforms, travel booking, asset monitoring, and predictive maintenance.

Technology capabilities

TechGropse's stated technology stack includes:

• Front end: React.js, Next.js, Angular, Vue.js, Nuxt.js, TypeScript, JavaScript, HTML5, CSS3, Tailwind CSS, Bootstrap, Material UI, Redux, SASS, and Gatsby
• Back end: Node.js, Express.js, NestJS, Python, Django, Flask, FastAPI, PHP, Laravel, Java, Spring Boot, .NET Core, Ruby on Rails, and Go
• Mobile: Flutter, React Native, Swift, SwiftUI, Kotlin, Xamarin, Ionic, Android SDK, iOS SDK, Jetpack Compose, Objective-C, Firebase, Dart, and Capacitor
• Databases and cloud: MySQL, PostgreSQL, MongoDB, Redis, SQLite, AWS, Microsoft Azure, Google Cloud Platform, DynamoDB, Oracle Database, MariaDB, Elasticsearch, Supabase, and Snowflake
• AI and data: OpenAI, Anthropic Claude, Gemini, LangChain, LlamaIndex, TensorFlow, PyTorch, Hugging Face, Apache Spark, Scikit-learn, Pandas, NumPy, MLflow, Pinecone, and Weaviate
• DevOps and emerging technologies: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform, Apache Kafka, RabbitMQ, GraphQL, WebRTC, blockchain, IoT, microservices, and serverless architecture