Bridgeye
To turn business data into clarity and action through AI-powered intelligent automation, delivering lean, outcome-focused solutions that accelerate modern business backends.
At a Glance
- Startups
- Scale-ups
- Mid-sized enterprises
- Global enterprises
- +2 more
AI Tools by Bridgeye
(1)NOVA
Terminal AI Runtime Error Fixer
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Latest News
Bridgeye officially launches NOVA AI coding assistant
Bridgeye joins Y Combinator W26 Batch
Bridgeye Insights: Why Stripe Scales While Others Struggle
Bridgeye introduces AI-driven manufacturing downtime solutions
Products & Services
A terminal-based AI coding assistant that provides autonomous recovery, debt eradication, and neural processing of codebases.
Market Position
Positions itself as a developer-centric, terminal-first AI assistant that focuses on system health and autonomous recovery rather than just code suggestions.
Leadership
Founders
Hassan Mulla
Data Scientist & Builder with an MS from Bayes Business School. Previously an Analyst at EAFCOM Trading.
Dharmik Parmar
Partner - Strategy, Analytics & Transformation. Background in data science and early-stage growth. Bayes Business School alumnus.
Suhani Gupta
Partner - Strategic Advisory & Business Transformation. Background in sales and operations, previously at BMW AGMC.
Wallace Dsouza
AI Software Engineer with a focus on Cybersecurity and AI/ML. Previously at NovaGate Solutions and Co-Founder of Cubeins.
Executive Team
Hassan Mulla
Partner — Strategy & Data
Data Scientist, Bayes Business School Alumnus
Dharmik Parmar
Partner — Strategy, Analytics & Transformation
Strategist, Bayes Business School Alumnus
Founding Story
Bridgeye was started by a group of developers and strategists who were 'tired of debugging at 2am.' Their vision was to build intelligent software systems that actively assist teams in building and maintaining technology.
Business Model
Revenue Model
Hybrid model consisting of strategic AI consulting and a SaaS product (NOVA).
Target Markets
- Startups
- Scale-ups
- Mid-sized enterprises
- Global enterprises
- Fintech companies
- Manufacturing
- Immediate bug detection in the terminal
- Automated refactoring of legacy code
- Real-time crash interception and automatic patching
- Reducing technical debt
- Contextual code understanding and modification