Infocusp Innovations | Company Profile - Revenue, Headcount, Tech Stack, Contacts

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Infocusp Innovations

Overview

Founded in 2009 and headquartered in Ahmedabad, India, with an additional office in Mountain View, California, this technology company specializes in artificial intelligence, data science, and related technologies. The organization is dedicated to enhancing systems and delivering innovative products that support business growth.

Its broad portfolio includes AI research and development, machine learning, cloud engineering, and software development, with special expertise in bioinformatics and signal processing. It drives impactful solutions in healthcare, fintech, and legal sectors, empowering product companies with advanced R&D and deployment and prioritizing high societal impact through radical innovation.

Basic Information

Industry information technology & services
Founded 2009
Revenue 34.1M
Headquarters 301-310 & 4th Floor, Gala Hub, Beside Basant Bahar Gymkhana, Bopal, Ahmedabad, Gujarat 380058, India
Languages English

Contact Details

Key Focus Areas & Initiatives

  • Artificial intelligence research and development
  • Machine learning and data science solutions
  • Bioinformatics pipelines and genomics analytics
  • Cloud engineering and scalable infrastructure
  • Signal processing and sensor data analysis
  • Healthcare innovation and personalized medicine
  • Fintech and legal tech solutions
  • Automation and robotics for societal impact

Technologies Used

  • AI
  • AWS Analytics
  • Amazon AWS
  • Amazon CloudFront
  • Amazon SES
  • Amazon Web Services (AWS)
  • Android
  • Angular
  • Appium
  • Azure Analysis Services
  • Bugzilla
  • COBOL
  • CPI
  • Eaglestats
  • GRPC
  • GitHub Actions
  • GitLab
  • Gmail
  • Google Apps
  • Google Cloud Platform
  • Google Tag Manager
  • GraphQL
  • IBM HTTP Server
  • Jenkins
  • Jira
  • LEAP
  • LinkedIn Ads
  • Mobile Friendly
  • Mode
  • Neogov HRMS
  • Playwright
  • Python
  • React Native
  • Remote
  • Route 53
  • Slack
  • Tor
  • Xcode
  • web3

Buyer Teams to Target

Engineering & Data Science

  • Chief Technology Officer
  • Head of Engineering
  • Lead Data Scientist
  • Software Engineering Manager
  • Principal Machine Learning Engineer
  • DevOps Architect

Product & Innovation

  • Product Director
  • Head of R&D
  • Innovation Manager
  • Solutions Architect
  • Bioinformatics Lead
  • Technical Program Manager

IT & Infrastructure

  • IT Director
  • Cloud Infrastructure Manager
  • Cybersecurity Lead
  • Systems Administrator
  • Cloud Solutions Engineer
  • Data Platform Manager

Business Development & Operations

  • Head of Business Development
  • Strategic Partnerships Manager
  • Operations Lead
  • Growth Manager
  • Technology Partnerships Director
  • Program Manager

What They Buy

  • Cloud infrastructure and platform services
  • Big data analytics tools
  • AI and machine learning frameworks
  • Bioinformatics software solutions
  • Collaboration and productivity tools
  • Cybersecurity and compliance solutions
  • Automation and DevOps platforms

Signals to Watch

  • πŸ§‘β€πŸ’» Adoption of new machine learning frameworks or tools
  • πŸš€ Launch of AI-driven product or platform
  • πŸ“† Posting job openings for data science or engineering roles
  • πŸ’° Securing large enterprise contracts or new funding
  • πŸ—ΊοΈ Expansion into new international markets
  • 🀝 Announcements of partnerships in healthcare or fintech

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