Product & Data DiscoveryWeek 1
Map the user journey, success metric, data sources, privacy rules, and whether a model is even the right lever.
AI Software Development
Custom AI Software That Ships to Production Users
We build AI-native products and retrofit intelligence into existing software models, APIs, data pipelines, and UIs that users actually trust.
- Model + product UI in one team
- Eval gates before launch
- You own the codebase
92%Task accuracy
1.8sp95 latency
4.6×ROI vs manual
Evals onlineQuality gated
Your VPCPrivate deploy ready
- 60+Projects Delivered
- 7+Years Shipping Software
- 30+Team Members
- 24/7Support Available
CustomAI Software
Overview
AI Product Engineering for Startups and Enterprises
Custom AI software development means more than wrapping an API. We design the data path, the model layer, the product UX, and the ops console so the feature survives real traffic.
From Mohali, we ship ranking, recommendations, search, scoring, and decisioning into new products or into systems you already run with milestones you can audit.
- AI-native MVPs
- Feature retrofit on legacy apps
- Private VPC deploy options
- Full IP to your company
Capabilities
What We Build for AI Software
Capabilities we deliver under ai software development scoped to outcomes you can measure.
AI-Powered Product Development
End-to-end products with ranking, recommendations, search, and decisioning baked into the UX not bolted on later.
- Product
- ML
- APIs
Feature Intelligence for Existing Apps
Add scoring, prediction, and smart workflows to your current stack without a rewrite.
- Retrofit
- APIs
Data Pipelines & Model Ops
Ingest, clean, train, evaluate, and monitor so models stay useful after launch day.
- ETL
- MLOps
- Cloud
AI Dashboards & Admin Tools
Ops-facing consoles to review model output, override decisions, and measure quality.
- Admin
- Analytics
- QA
Secure Enterprise Integration
SSO, RBAC, audit logs, and private VPC deployments for regulated environments.
- Security
- SSO
- VPC
MVP to Production Path
Prove value in weeks, then harden for scale with clear milestones and ownership of code.
- MVP
- Scale
- Handoff
Plan your ai software roadmap
Use Cases
Where AI Software Fits Best
Concrete workflows where ai software development pays off fastest.
SaaS recommendation engines
Personalize feeds, upsells, and next-best-actions from event streams without freezing your roadmap.
- SaaS
- RecSys
Internal decisioning tools
Credit, risk, or ops scoring with explainability views so managers can override with context.
- FinOps
- Risk
Intelligent search for knowledge products
Hybrid keyword + embedding search over docs, tickets, and catalogs with relevance tuning.
- Search
- RAG
Healthcare & clinic software features
Triage helpers, intake summarization, and staff dashboards designed around privacy constraints.
- Health
- Privacy
Examples
Sample Engagements & Outcomes
Illustrative delivery patterns from ai software work scoped to similar problems.
Marketplace ranking rebuild
Replaced rule-based listing order with a learning-to-rank service; sellers saw higher conversion on promoted inventory within one quarter.
- Marketplace
- LTR
B2B SaaS lead scoring
Shipped a scoring API + admin review screen that cut SDR time spent on cold accounts by nearly half.
- B2B
- Scoring
Document-heavy ops console
Built extraction + validation workflows for back-office teams processing thousands of PDFs monthly.
- IDP
- Ops
Approach
Architecture First, Model Second
Most AI software fails at integration and ownership, not at demos. We document the system boundary, data contracts, and fallback behavior before we optimize prompts.
Book a Discovery CallWe pick models after the product contract is clear inputs, outputs, latency budget, and who reviews mistakes.
- Define the user-facing job
- Instrument quality early
- Prefer thin vertical slices
- Keep vendor lock-in optional
Tech Stack
Stack for Custom AI Products
Product-grade services with portable model adapters so you can switch providers without rewriting the app.
App & APIs
Next.js
Node.js
Python- FastAPI
TypeScript
ML & Data
- Postgres
- pgvector
- Feature stores
- Batch jobs
- Streaming
Models
- OpenAI
- Anthropic
- Gemini
- Open-source LLMs
- Custom classifiers
Ops
Docker
AWS- GCP
- CI/CD
- Observability
Process
From Discovery to a Live AI Feature
A product path: prove the metric on real samples, then harden for production users.
Step 01
Step 02
Thin Slice PrototypeBuild
Ship one vertical path with evals against labeled samples; compare quality, latency, and cost before locking architecture.
Step 03
Production IntegrationShip
Auth, monitoring, rate limits, admin overrides, and CI checks. Integrate with your APIs and train operators.
Step 04
Measure & ExpandOngoing
Watch failure modes, retrain or retune, and backlog the next AI feature that moves the same KPI.
Why Nihon Infotech
Software Team That Ships AI Features
We are full-stack product engineers who treat models as one dependency not a research side-quest.
One team, UI to model
No relay race between “AI vendor” and “web vendor.”
Eval-driven launches
We do not call it done until the metric holds on held-out cases.
Mohali delivery base
In-house seniors with clear English communication across time zones.
Code in your repos
Repos, docs, and runbooks under your accounts.
Recent Projects
Look at latest works gallery
E-Commerce Website
Shopify-based eCommerce website for party supplies, built for seamless shopping experiences and scalable online sales.
Visit website
Business Website
WordPress business website for a professional cleaning service, designed to generate customer inquiries and qualified leads.
View project
Personal Brand Website
Personal brand WordPress website created to showcase services, portfolio work, and drive client bookings.
Visit website
Food Delivery Mobile App
React Native food delivery app connecting users with local restaurants, featuring real-time order tracking, secure payments, and an intuitive mobile experience.
View project
RetailSync Inventory System
Custom inventory management web application built to help retailers track stock, manage suppliers, and streamline daily operations.
View project
Service Booking Platform
WordPress-based service booking website designed to showcase offerings, accept customer requests, and generate qualified business leads.
View project
FAQ
AI Software Questions We Hear Most
Straight answers about ai software development before you commit budget.
- Fixed-scope proposals
- You own the code
- Direct access to builders
A focused MVP with one core AI feature usually ships in 6 to 12 weeks. Broader platforms run longer; we scope milestones after a discovery workshop.
Helpful, not always required. We can start with foundation models, synthetic data, or retrieval over your documents, then fine-tune as real usage grows.
You own the application code and configurations we deliver. Third-party model licenses stay under your accounts unless we agree otherwise in writing.
Yes. We embed alongside your engineers, document everything, and hand off cleanly or stay on for retainers.
We estimate tokens/calls from your traffic profile, set spend alerts, and design caching or smaller models for high-volume paths.
We keep an eval suite and rollback plan. Post-launch retainers cover prompt/data fixes and architecture tweaks until the KPI recovers.
Let's Build Together
Ready to Build AI Into Your Product?
Share the feature you want users to feel. We will return a scope, architecture sketch, and timeline.
Get In Touch
Let's Discuss Your Project Requirements.
Speak with our experts and receive a tailored solution, timeline, and cost estimate.
- Project Inquiriesinfo@nihoninfotech.com
- Talk to an Expert+91-86999-43786
Our Locations
Our Offices
MohaliMohali, Punjab
Plot No. 341, Industrial Area Mohali Phase 9, S.A.S Nagar, Punjab 160062Get Directions
Dubai