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AI Product Engineering
Intelligent search, RAG, document intelligence, workflow automation, and computer-vision features designed for real product environments.
✓ Production-ready AI and vision pipelines
iNeuron — AI & Software Product Studio
We build AI productsthat actually ship.
We engineer applied AI features, full-stack platforms, and high-performance backend systems for ambitious product teams.
2024Studio Founded
FixedScope & Timelines
WeeklyWorking Demos
CleanProduction Code
Core Capability Pillars
Engineering Capabilities
We focus on three core disciplines required to build, launch, and scale production systems.
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Full-Stack Product Development
Focused SaaS products, marketplaces, dashboards, web platforms, and multi-tenant architectures built from backend to user experience.
✓ From defined MVP to scalable production
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Backend, Performance & Scale
API architecture, database optimization, caching, background processing, search infrastructure, cloud deployment, and security.
✓ Measurable performance and reliability improvements
How To Hire Us
Structured Engagement Packages
Transparent scope, clear deliverables, and fixed timeline commitments.
Popular for SaaS2–4 Weeks
AI & CV Feature Sprint
Add intelligent search, RAG, document extraction, computer vision, or automated workflows directly into your existing product stack.
✓ Custom AI/CV pipeline integration
✓ Evaluation & latency tuning
✓ Production API endpoints
For Startups4–8 Weeks
Focused Product Build
End-to-end delivery of a defined MVP or core product module — from database schema and backend to modern frontend and cloud deployment.
✓ Full-stack architecture
✓ Short review cycles & demos
✓ Complete code handover
Architecture1–3 Weeks
Backend & Scale Rescue
Diagnostic and hands-on refactoring for products suffering from API latency, database bottlenecks, background job issues, or scaling limitations.
✓ Performance audit
✓ Targeted code refactoring
✓ Targeted performance improvements
* Typical timeline after scope confirmation. Data readiness, integrations and approval cycles may affect delivery.
Our Process
How We Deliver
A tight, transparent loop from scoping to production — no black boxes.
01
Technical Discovery
Validate the technical approach early
02
Scope & Architecture
Design scalable foundation
03
Build & Review
Ship reviewable increments
04
Production & Handover
Deploy & transfer ownership
Track Record
Selected Engineering Work
Products and production systems shaped by our studio work and the engineering experience behind iNeuron.
Fashion & E-CommerceAI Fashion Discovery Platform
Multimodal Search & Personalized RankingA mobile-first fashion discovery platform where shoppers search a catalog of nearly a million products by natural language, reference photos, or both together, and get routed to the right item on the original brand's site.
Real Estate & PropTechLease Intelligence Platform
Confidence-Scored Extraction & Portfolio Q&AA lease intelligence platform where every client owns a fully isolated environment, extracting structured terms from lease PDFs, answering portfolio questions with cited sources, and flagging low-confidence results for review.
Sports Technology & AnalyticsTennis Match Analysis System
Real-Time Player & Ball Tracking with Court MappingA computer vision system built from scratch that tracks both players and the ball across a full tennis match, maps positions onto a live mini-court, and calculates movement speed and shot velocity.
Why iNeuron
Direct, Focused Delivery
Direct technical ownership, clear communication, and focused execution from scope through handover.
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Direct Engineering Involvement
Direct communication with the engineers building your product. Our team remains hands-on from scope to production delivery—with zero middle management or hidden hand-offs.
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Full-Stack + AI Engineering
We combine robust web & backend engineering with dedicated applied AI, computer vision, and vector search specialization.
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Short Review Cycles
You see reviewable progress from the first agreed delivery cycle — clear scope, staging deployments, and clean code handovers.
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Production Ownership
Maintainable architecture principles built into data pipelines, APIs, and cloud deployment from day one.