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AI Product Engineering
Intelligent search, RAG, document intelligence, and workflow automation designed for real product environments.
✓ Production-ready AI 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.
✓ Production-grade from the first release
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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
Document AI Production Sprint
Add intelligent search, RAG, document extraction, or automated workflows directly into your existing product stack.
✓ Custom AI pipeline integration
✓ Evaluation & latency tuning
✓ Production API endpoints
For Startups4–8 Weeks
Focused Product Build
End-to-end delivery of a production-grade product or core 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.
Performance Result245×
From the AI Fashion Discovery Platform →Vector-search latency cliff, fixed
Warm searches went from 10+ seconds down to 14–34ms, and stayed there as the index grew roughly 7.5× to nearly a million products.
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, document intelligence, 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.