AI Product Development
Create. Innovate. Automate.
We build intelligent systems that transform business operations through machine learning and artificial intelligence. From AI model development to full product integration, our team delivers end-to-end AI product capabilities that move from prototype to production.
Core Capabilities
- AI model development (ML, NLP, computer vision)
- Predictive analytics and recommendation engines
- Generative AI copilots and content tools
- Custom LLM training and fine-tuning
- AI app integration (chatbots, assistants, and automation)
- MLOps lifecycle management & retraining
Ideal For
Tech-Driven Enterprises
Large organisations wanting to build AI-powered features into their products and internal platforms at scale.
Forward-Thinking SMBs
Mid-sized businesses ready to apply AI to automate processes, personalise experiences, and gain competitive advantage.
Innovation-Led Teams
R&D and innovation functions that need a senior AI delivery partner to accelerate from idea to working product.
Why Choose Phronex™ for AI Product Development
End-to-End Capability
From concept to execution, we cover every layer: strategy, tech, compliance, and growth.
Modular Engagement
Choose fractional leadership, turnkey development, or standalone advisory.
Speed with Depth
We deliver quick wins while architecting for long-term scale.
Cross-Functional Expertise
Tech meets business, product meets privacy, strategy meets execution.
Real-World Project Snapshot
Brain Tumor Detection Using MRI Segmentation
The solution significantly improved diagnostic accuracy, reducing manual effort and analysis time. Enhanced workflow efficiency enabled faster tumor identification and improved treatment planning, leading to better patient outcomes with increased operational efficiency in medical imaging and scalable AI adoption in healthcare.
62%
Faster diagnosis turnaround
18pp
Improvement in early detection
94%
Model accuracy on test set
View full case study
Related Projects
Browse case studies where we delivered AI Product Development engagements.
Abstract Sentiment Analysis for Hospitality Guest Reviews
The chain reduced review response time from 6 days to 18 hours on average and identified a systemic cleanliness issue at 3 properties that would have taken months to surface manually. Guest satisfaction scores improved by 0.4 points within 2 quarters.
18h
Average review response time (down from 6 days)
0.4pt
Improvement in guest satisfaction score
AI-Driven Dynamic Pricing Optimization for E-commerce
The dynamic pricing engine improved gross margin by 4.2 percentage points on repriced categories within 6 months, while maintaining sales volume. The client also identified ₹12Cr of missed revenue from historically underpriced categories.
4.2pp
Gross margin improvement
₹12Cr
Missed revenue opportunity identified
AI Meeting Summary and Action Item Extraction Tool
The feature shipped within 8 weeks and became the top-requested capability on the platform within 30 days of launch. Pilot customers reported saving 45 minutes per person per week in post-meeting admin work.
8 weeks
Feature shipped
45 min/week
Time saved per user
AI-Powered Automated Interview Assessment System
The client reduced time-to-shortlist from 12 days to 3 days and screened 4x more candidates per recruiter per week. Hiring manager satisfaction scores increased significantly due to better-prepared shortlists.
75%
Reduction in time-to-shortlist
4x
Candidates screened per recruiter
AI Resume Parser and Candidate Matching Engine
Parsing accuracy improved from 61% to 91% on a benchmark dataset, and recruiter time spent on resume screening was cut by 55%. The client onboarded 3 new enterprise ATS partners within 6 months of launch.
91%
Parsing accuracy
55%
Reduction in screening time
Automated Housekeeping Auditing System with Computer Vision
Audit coverage increased from 15% to 94% of rooms per shift, and compliance scores improved from 71% to 92% within 3 months. The network reported zero HAI (hospital-acquired infection) incidents attributable to housekeeping in the following quarter.
94%
Room audit coverage per shift
92%
Housekeeping compliance score
Automatic Trip Generation and Route Optimization Engine
Route optimization reduced average delivery cost per order by 23% and eliminated the 4-6 hour manual planning process. Vehicle utilization improved from 71% to 89%, allowing the client to handle 30% more volume without additional fleet.
23%
Reduction in cost per delivery
89%
Fleet utilization rate
Brain Tumor Detection Using MRI Segmentation
The solution significantly improved diagnostic accuracy, reducing manual effort and analysis time. Enhanced workflow efficiency enabled faster tumor identification and improved treatment planning, leading to better patient outcomes with increased operational efficiency in medical imaging and scalable AI adoption in healthcare.
62%
Faster diagnosis turnaround
18pp
Improvement in early detection
AI-Powered Brainstorming and Idea Generation Application
Beta users reported 40% more actionable ideas per session compared to unassisted brainstorming. The feature became the founding client's primary value differentiator, helping close their Series A funding round.
40%
More actionable ideas per session
Series A
Funding milestone supported
AI-Powered Container Defect Detection for Manufacturing QC
Defect escape rate dropped from 3.2% to 0.15%, and the system processes containers at full line speed (120/min). The client recovered the implementation cost within 4 months through reduced customer returns and warranty claims.
0.15%
Defect escape rate (down from 3.2%)
4 months
Payback period
Dialogue-Based Conversational Chatbot for SaaS Support
The chatbot achieved a 67% first-contact resolution rate for tier-1 queries within 60 days of deployment, freeing the support team to focus on complex enterprise issues. Customer satisfaction scores for bot-handled interactions averaged 4.1/5.
66%
First-contact resolution rate
40%
Reduction in support ticket volume
AI Color Identification and Tagging for Fashion Retail
The solution processed the entire 200,000+ SKU catalogue in 3 days and reduced manual tagging effort by 92%. Search-by-colour conversion rates improved by 31% due to more accurate and consistent colour attributes.
92%
Reduction in manual tagging effort
31%
Improvement in colour search conversion
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