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SOFTWARE DEVELOPMENT • AI SOLUTIONS • SCALABLE GROWTH

Software & AI Development for Startups and Growing Businesses

We turn your idea into production software, with a written scope and fixed milestones agreed before any code is written. You work directly with founder and lead engineer Obaid Tariq, remotely with teams in the US, UK, Europe, the Middle East and beyond.

Not ready to build? Validate your idea with AI Dev Planner first

typical SaaS MVP
$25k–$65k
to a production release
8–12 weeks
post-launch warranty
60–90 days
code & IP ownership
100%
01 / DISCOVERY
02 / ARCHITECTURE
DB
AI
API
03 / ENGINEERING
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PRODUCTION
LIVE

We focus on scalable architecture, cloud infrastructure, and AI integration.See our engineering approach

Based in Islamabad, working remotely with product teams worldwide.

Code is delivered in your repository. You own the IP.

Work that solves real problems.

Problem, what we built, and the measurable result. Client names are under NDA; we walk through the architecture and decisions on a scoping call.

Case Study - FINTECH Custom Software Architecture Visual
FINTECH
Client under NDA · walkthrough on request
Problem

Legacy financial systems struggled with real-time transaction processing, leading to high latency and data inconsistencies during peak market hours.

What We Built

Migrated core infrastructure to a cloud-native microservices architecture on AWS, using Kafka for event streaming and Next.js for a high-performance trader dashboard.

Key Outcomes
Zero DowntimePhased Strangler Cutover
Sub-20msReal-Time WebSocket Feeds
Case Study - HEALTHCARE Custom Software Architecture Visual
HEALTHCARE
Client under NDA · walkthrough on request
Problem

Clinic staff spent significant daily bandwidth on manual patient onboarding and insurance verification, causing severe operational bottlenecks.

What We Built

Engineered a secure digital patient portal with automated OCR-based insurance verification and real-time EHR integrations.

Key Outcomes
HIPAA AlignedEncrypted Cloud Data Silos
100% Clinician VerifiedMandatory Human-in-the-Loop
Case Study - LOGISTICS Custom Software Architecture Visual
LOGISTICS
Client under NDA · walkthrough on request
Problem

Lack of real-time visibility into supply chain routing led to fuel inefficiencies and delayed shipments across international borders.

What We Built

Built a predictive AI routing engine that processes live traffic, weather data, and fleet telemetry, with a fully native iOS and Android driver app.

Key Outcomes
1,200 TrucksActive Production Fleet Rollout
Offline CapableLocal SQLite Vector Map Cache

What are you trying to build?

Select an option below to see how we approach your specific challenge.

We help validate, design, and build software from scratch.

Your Likely Path
Discovery
Validation
Product Design
MVP
Launch
Growth
Core Deliverables
  • Product requirements
  • User flows
  • UX/UI
  • Architecture
  • MVP roadmap
  • Development plan

What We Do

We help organizations plan, design, build, modernize and scale software products. Our work includes custom software, SaaS platforms, AI applications, web applications, mobile products, cloud systems and ongoing product engineering.

Engineering scalable, reliable software from scratch.

Custom Business Software
Enterprise Applications

Who We Help

We work with founders, startups, product teams, growing businesses and enterprises that need help validating, designing, building, modernizing or scaling digital products.

Startups

Founders testing assumptions and building scalable MVPs.

SaaS Companies

Teams scaling platforms and handling complex architectural growth.

Growing Businesses

Companies needing custom software to modernize operations.

Product Teams

Internal product teams seeking dedicated engineering capacity.

Enterprises

Large organizations modernizing architecture and AI adoption.

From problem to production.

01

Phase: VALIDATE & PLAN

Key Activities
  • Market Research
  • Feature Prioritization
  • MVP Scoping
  • Technical Feasibility Analysis
Artifacts & Deliverables
  • Product Vision
  • Technical Strategy
  • MVP Requirements Document
Roles Involved
>Product Strategist
>Lead Engineer

Verifiable Expertise

Engineering backed by evidence.

"Trustworthy AI systems are valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with their harmful bias managed."

Delivery Standards

We maintain strict standards for security, quality assurance, and technical ownership. Understand the processes that govern our delivery.

See how we approach software delivery

Engineering Experience

We architect software products, SaaS platforms, and AI systems. Browse deep-dive methodologies from our previous engineering projects.

Explore our software development case studies

The People Behind the Work

AI Dev Planner is led by founder and lead engineer Obaid Tariq, who works directly with every client from discovery to production.

Meet the team

Engineered for the real world.

We design architectures that can evolve from MVP scale to high-volume production workloads, prioritizing maintainability, security, performance and reliability.

User Interfaces
API & GraphQL Layer
Core Business Logic
Data & AI Intelligence
Cloud Infrastructure

Explore our architecture

Hover over the layers in the stack on the left to reveal the technologies and approaches we use to build scalable software.

The tools we use.

We are agnostic but highly opinionated. We choose the right tool for the job based on scale, team capability, and business requirements.

Frontend & UI

ReactNext.jsTypeScriptTailwind CSSFramer MotionVue.js

Backend & API

Node.jsGoPythonGraphQLtRPCREST

Data & Storage

PostgreSQLRedisMongoDBElasticSearchTimescaleDBSnowflake

Mobile

React NativeExpoSwift (iOS)Kotlin (Android)Flutter

Cloud & DevOps

AWSVercelDockerKubernetesTerraformGitHub Actions

AI & Machine Learning

OpenAIAnthropicLangChainPineconePyTorchHuggingFace

AI Dev Planner — Self-Service Pre-Build Validation Platform

As a software engineering company, we created the AI Dev Planner platform to solve the number one reason digital products fail: committing capital to code before validating market demand and core assumptions.

Self-Service SaaS Tool

AI Dev Planner Platform

From Unvetted Concept to Validated MVP Specification.

Independent founders and product teams use our self-service tool to research competitor positioning, evaluate make-or-break assumptions, and generate actionable MVP scopes, tech stacks, and delivery roadmaps.

Dual-path flexibility: Take your validated PRD and build with your in-house team, or partner with our senior engineers for turnkey implementation.

Market IntelligenceCompetitor TeardownsAssumption Mapping7-to-90 Day ExperimentsMVP Feature ScopingCheapest Safe StackBudget ScenariosExportable PRDs

Project Planner

Tell us what you're trying to achieve.

Design a custom engagement. It takes about 60 seconds and gives us the context we need to prepare for the first conversation.

1. What kind of system are we building?

Frequently Asked Questions

What does AI Dev Planner do?
AI Dev Planner is a software development and AI engineering company that helps startups, businesses, and product teams plan, design, build, modernize, and scale digital products, including SaaS platforms, custom software, and AI systems. We also built and operate the AI Dev Planner pre-build validation platform.
What is the difference between the AI Dev Planner platform and your engineering services?
The AI Dev Planner platform is our self-service SaaS product designed to help founders validate software concepts, research competitors, test risky assumptions, and scope lean MVPs before writing code. Our software engineering services provide dedicated senior engineers, designers, and cloud architects to build, deploy, and scale custom web applications, SaaS platforms, and production AI systems.
Can I validate my idea on the platform and then hire your team to build it?
Yes. Many founders use our self-service platform to validate market demand, map assumptions, and generate an exportable PRD, database schema, and delivery roadmap. Once validated, you can either take those specifications to your in-house developers or partner with our engineering team for end-to-end development with 100% intellectual property ownership.
What software development services does AI Dev Planner provide?
We provide product discovery, UX/UI design, custom software development, web and mobile development, SaaS platform engineering, AI and LLM system integration, cloud infrastructure, backend modernization, and ongoing maintenance.
Does AI Dev Planner build AI-powered products?
Yes. We engineer production-grade AI applications, AI agents, retrieval-augmented generation (RAG) pipelines, workflow automation systems, and custom LLM integrations backed by rigorous security, evaluation, and latency benchmarking.
Does AI Dev Planner build SaaS products?
Yes. We design and build multi-tenant SaaS products end-to-end, covering product strategy, system architecture, frontend and backend engineering, subscription billing, automated testing, and scalable cloud infrastructure.
Who does AI Dev Planner work with?
We work with early-stage founders, venture-backed startups, product teams, and established enterprises needing reliable engineering capacity to build new products or modernize existing software.
How does the software development process work?
Projects follow a disciplined engineering lifecycle: discovery and definition, architecture and database modeling, sprint-based agile development, continuous quality assurance, automated deployment, and post-launch maintenance.
How long can software development take?
Timelines depend entirely on verified scope. A focused validation prototype can ship in a few weeks; a focused SaaS MVP typically takes 8 to 12 weeks, and a standard operational web-app MVP 12 to 16 weeks. Comprehensive enterprise platforms or complex SaaS systems typically require 3 to 6 months for initial production release.
What affects software development cost?
Costs are determined by architectural complexity, third-party integrations (e.g., payment gateways, specialized AI APIs, legacy databases), and the size of the feature set. Validating requirements early prevents costly architectural rewrites.
Can AI Dev Planner work with an existing engineering team?
Yes. Our senior engineers can augment existing teams, provide architectural guidance, or take complete ownership of specialized workstreams like AI pipeline development, database optimization, or frontend refactoring.
What technologies does AI Dev Planner use?
We specialize in modern TypeScript ecosystems and high-performance stacks, including Next.js, React, Node.js, PostgreSQL, Supabase, Redis, Docker, and leading cloud providers (AWS, GCP, Vercel), with evaluated LLM providers (Groq, OpenAI, Anthropic).

Ready to start building?

Tell us what you want to build. You get a reply within 24 hours, a 30-minute scoping call with the engineer who would lead it, and a written scope and quote.