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Custom AI Applications

Software That Thinks With You

Off-the-shelf AI answers generic questions. We build agents and applications trained on your business, your documents, your decision logic. Things your competitors can't buy.

3 Products 6-12 Weeks Multi-Agent Systems You Own It Full IP
01

What We Build

01

AI Agents

Autonomous workflows that reason, decide, and act. Multi-agent systems orchestrated around your specific business logic, not generic chatbot templates. See our AI automation services for end-to-end workflow solutions.

  • Stack Claude, GPT-5, LangChain, LangGraph
  • Memory Persistent knowledge graphs, temporal facts
  • Actions Tool use, API calls, sandboxed execution
  • Tuning Continuous improvement with usage telemetry
Book a 15-minute call
02

Custom Applications

Internal tools, dashboards, and business software built for one purpose: your exact workflow. Not configurable. Purpose-built. We also provide custom web development for standalone applications.

  • Frontend Next.js, React, TypeScript
  • Backend FastAPI, Supabase, PostgreSQL
  • Deploy Railway, Vercel, or your infrastructure
  • Security Auth, RLS, audit logs, SOC-ready
Book a 15-minute call
03

SaaS Products

Full product development from concept to paying customers. We build, launch, and iterate on software products that scale.

  • Auth Clerk, custom auth, SSO
  • Scale Monorepo architecture, edge deployment
  • Growth Analytics, billing, user management
  • Delivery Deployed, monitored, improved monthly
Book a 15-minute call
02

Products We've Built

Not slide decks. Not prototypes. Real software, running in production.

The products below are software we designed, built, and run ourselves. Client engagements get the same discipline. These exist because we kept running into the same problems across small businesses: decisions made without anyone to pressure-test them, and proposals written from scratch under deadline. Each product runs in production with real users, so the architecture, the deployment practices, and the cost profiles have survived contact with reality. For a buyer evaluating a custom AI development firm, shipped software is the strongest signal available. It proves the team can carry an idea through design, build, launch, and ongoing operation. Client work uses the same stack and the same standards. When we propose an agent workflow or a custom application, the reference point is software we maintain ourselves every day, not a demo prepared for a sales call.

03

How It Works

Process
01

Discovery & Scoping

We learn your business logic, data sources, and decision workflows. You get a clear proposal with architecture, timeline, and cost before any code is written.

02

Architecture & Design

System design, agent topology, data flow mapping, and UI/UX. Every decision documented and reviewed with your team.

03

Build & Iterate

Sprint-based development with weekly demos. You see real progress, not status reports. Feedback loops baked into every cycle.

04

Launch & Evolve

Deployed to production with monitoring, analytics, and a support plan. Your application improves with every user interaction.

Why Quantum
01

We Ship Products, Not POCs

Three SaaS products in active development. We know what it takes to go from concept to production.

02

Multi-Agent Expertise

LangGraph, Claude Agent SDK, custom orchestration. We build agent systems, not chatbot wrappers.

03

You Own Everything

Full IP transfer. Your code, your data, your deployment. We never hold your business hostage.

04

Right-Sized for Growth

Built for companies outgrowing off-the-shelf tools but not ready for a 20-person engineering team.

05

Production DNA

Security, auth, monitoring, and scale baked in from day one. Not bolted on after the first breach.

04

Engagement Model

Custom work deserves custom pricing. Every proposal includes a fixed scope, timeline, and cost. No hourly billing, no scope creep.

Custom software usually fails in the contract, not the code. Our engagement model exists to prevent the two classic failure modes: open-ended hourly billing and scope that grows after signing. Every engagement starts with a discovery call and ends in a fixed-scope proposal that states what gets built, when it ships, and what it costs. The figures below are those published ranges. Work lands in stages with review points, so nothing surprises you at launch, and you own the finished system outright: code, data, infrastructure. Post-launch support runs 30 to 60 days depending on tier, long enough for your team to absorb the handover and run the system without calling us. We are a Reading, Pennsylvania practice founded in 2024, and we deliberately keep concurrent engagements few so both founders stay directly involved in every build.

05

Frequently Asked Questions

How much does a custom AI application cost?

A custom AI application built by Quantum Digital Solutions typically costs $15,000 to $100,000 or more, depending on complexity, the number of integrations, and whether it's a one-time build or an ongoing product. Simple agent workflows start around $15,000. Full multi-agent platforms with a custom user interface run $25,000 to $75,000. Enterprise-scale builds with deep integrations exceed that range. Every engagement begins with a discovery call, after which the client receives a detailed proposal with an exact cost, architecture, and timeline. Pricing is fixed per project, never open-ended hourly billing.

The cost driver is integration depth, not the AI model itself. A chatbot that answers questions from a fixed knowledge base is inexpensive to build; an agent that reads from a CRM, writes back to an inventory system, and makes conditional decisions across both requires custom engineering on each connection point, which is where the price climbs. Quantum Digital Solutions, founded by Steven Presciutti and Michael Crandall in Reading, PA, scopes each build against the client's actual data sources and decision workflows before quoting, so the number reflects the real system rather than a generic package price.

Custom AI applications typically range from $15,000 to $100,000+ depending on complexity, integrations, and whether it's a one-time build or an ongoing SaaS product. Simple agent workflows start around $15K. Full multi-agent platforms with custom UI run $25K-$75K. We provide detailed proposals with exact costs after a discovery call.
Most projects take 6-12 weeks from kickoff to deployment. Simpler agent workflows can ship in 4-6 weeks. Full SaaS platforms with multi-agent systems typically run 8-16 weeks. We give you a specific timeline in your proposal and stick to it with weekly demos.
Yes. For custom B2B installs, you own the code, the deployment, and the data. For SaaS products, you own the business and we handle the technical infrastructure. We never hold your IP hostage. Full source code transfer is included in every engagement.
We work with Claude, GPT-5, LangChain, LangGraph, and the latest agent frameworks. For knowledge management, we use vector databases, knowledge graphs, and RAG pipelines. The stack is chosen for your specific needs, not our convenience. We're model-agnostic and pick what performs best for each use case.
All projects include a post-launch support period (30-60 days depending on engagement). We also offer ongoing retainer plans for monitoring, optimization, feature expansion, and scaling as your user base grows. Your AI application improves over time, not just at launch.

Ready to build something your competitors can't buy?

A free 15-minute call to walk the process and check fit. Then the $999 AI Tools Assessment: 45 minutes, a written report of 3-7 off-the-shelf tools, and 5+ recoverable hours a week or refunded. Custom builds get scoped from there.